Medio De Movimiento Del Procesador Pi

PI-SQC (Control de Calidad Estadístico) El PI-SQC automatiza la tarea de trazar el historial de procesos y realizar cálculos estadísticos para lograr un historial SQC a largo plazo consistente del comportamiento del proceso. OSI Software, Inc. SQC Cálculos y gráficos para el historial de procesos PI-SQC automatiza la tarea de trazar el historial de procesos y realizar cálculos estadísticos para lograr un historial SQC a largo plazo consistente del comportamiento del proceso. Es un complemento de la aplicación cliente de PI-ProcessBook. Recupera datos del archivo de datos PI y / o de una base de datos ODBC y luego realiza cálculos estadísticos para determinar el comportamiento de los datos. Los resultados se muestran en un gráfico PI-SQC de tres partes. Este gráfico se coloca dentro de una pantalla de PI-ProcessBook estándar o un archivo de visualización independiente. Componentes de la carta PI-SQC Cuando el usuario diseña una carta PI-SQC, hay tres componentes principales, el gráfico de control, el histograma y una leyenda de información básica. Cada uno de estos componentes puede configurarse y formatearse de varias maneras, y cada uno de ellos puede omitirse. Qué es SQC SQC (Control Estadístico de Calidad) se utiliza para identificar variaciones de proceso. SQC se ilustra típicamente en un formato conocido como Cuadro de Control. Los gráficos de control (con límites de control o especificaciones) en los procesos reales diferencian entre fluctuaciones aleatorias de datos y cambios reales en el proceso. Los gráficos de control evalúan gráficamente si un proceso está o no en un estado de control estadístico. Diferentes tipos de gráficos de control se utilizan comúnmente, incluyendo media, media móvil, rango, desviación estándar y CUSUM. SQC en la Industria de Procesos Aunque el cliente a menudo determina las especificaciones del producto, el proceso de producción es teóricamente capaz de hacer que todas sus producciones cumplan o excedan las especificaciones de producto más estrictas. La rentabilidad de la planta a menudo puede mejorarse aumentando la cantidad de producto de la más alta calidad producida. SQC es una técnica para lograr estos objetivos de calidad y para establecer puntos de referencia para supervisar las mejoras en el rendimiento. SQC se ha aplicado en muchas empresas con grandes rentabilidades económicas. Sin embargo, la implementación ha sido limitada a menudo debido a la falta de datos disponibles y debido a los extensos cálculos y gráficos requeridos con grandes conjuntos de datos. 777 Davis St. Suite 250, San Leandro, CA 94577. Tel: 510-297-5800. Fax: 510-357-8136.ADMs Viaje a un acuerdo empresarial Presentador: Scott Harmeier. Archer Daniels Midland Company Scott compartirá el viaje de ADM desde su implementación inicial de PI a través de la finalización de su acuerdo empresarial. El uso de ADMs del sistema de PI ha evolucionado a través de los años mientras que realizó la energía de datos para mejorar sus operaciones del proceso. Eventualmente, el deseo de transformar datos de proceso a información que era aplicable a todos los niveles de la empresa culminó en la búsqueda de un acuerdo empresarial. Scott explicará los eventos y la motivación que condujeron al acuerdo empresarial y discute los métodos utilizados para convencer a la alta dirección de que el acuerdo empresarial era un buen ajuste para los objetivos a largo plazo de los SMA. Destacado de la presentación del cliente Durante cada conferencia de usuarios, nuestros presentadores ofrecen charlas entretenidas, creativas e informativas. Siempre hay dos o tres presentaciones donde nuevos conjuntos de datos, casos de uso innovadores o nuevos enfoques a los problemas de larga data nos sorprenden y nos hacen querer aprender más. En esta presentación, nuestro MC Christoph Papenfuss y Andrew Fanara compartirán los puntos destacados de estas sesiones destacadas para dar a toda la audiencia de la conferencia un sabor de lo que sucedió durante estas sesiones. 2014 Estrenos: Perspectivas de Clientes Esta charla se centra en lanzamientos de productos recientes y de corto plazo. Coresight mobile, ProcessBook Viewer, Marcos de eventos, PI Cloud Connect y AF Analytics serán mostrados. Un número de clientes de PI se unirán a OSIsoft durante esta charla para discutir su uso actual o planeado de estas versiones, y el valor que estos lanzamientos traen a sus organizaciones. FIELD MOUS: Un repositorio de datos técnicos para habilitar la toma de decisiones JIT Presentador: Francisco Castillo, Ph. D. PMP. Vicepresidente Senior y Director de Información Maynilad Water Services, Inc. Un reto en cualquier negocio es entender exactamente donde usted está en cualquier momento dado, ya sea financiero o operacionalmente. Para las operaciones, el desafío es particularmente agudo ya que la información necesaria reside en múltiples fuentes, algunas de las cuales están cerradas y son difíciles de extraer. Por otra parte, las fuentes de datos técnicos tradicionalmente no han sido bien manejadas por los departamentos de TI debido a su falta de experiencia en el manejo de estos sistemas técnicos, así como una falta de conocimiento profundo de lo que los usuarios realmente necesitan. Esta charla se centra en el sistema baptisado FIELD MOUS (Field MOnitoring User System), que esencialmente es un Sistema PI actuando como un repositorio de datos técnicos en el que diferentes departamentos conectan sus datos, y otros departamentos lo acceden para satisfacer sus necesidades particulares. Se trata de un proyecto a largo plazo y en fase que tiene por objeto recopilar todos los datos técnicos necesarios y producir informes y análisis basados ​​en las necesidades reales de gestión técnica. Las aplicaciones que se han desarrollado o están en desarrollo son la telemetría, la automatización, la medición convencional y la AMR, el análisis de pérdidas (NRW), los cuadros de mando, la CBM y la gestión de la presión. Concluye con los beneficios reales derivados de esta implementación. Su barco: logrando un gran avance Presentador: Capitán Mike Abrashoff. Antiguo Comandante Naval de EE. UU., experto en rendimiento de amperios de liderazgo, autor más vendido Cuando Mike Abrashoff se convirtió en comandante del USS Benfold, era el Oficial Comandante más joven en la Flota del Pacífico. Los desafíos a bordo de este destructor de bajo rendimiento eran asombrosos con baja moral y la mayor tasa de rotación en la Armada. Su solución era un sistema que él llamó la hoja de ruta del liderazgo. Itrsquos un proceso de re-imaginar el liderazgo y reemplazar el mando y el control con el compromiso y la cohesión. Al comprometer los corazones, las mentes y las lealtades de sus marineros, logró un éxito operacional nunca antes alcanzado. A través de la convicción y la humildad, Abrashoff contrató a su joven equipo a través del empoderamiento. Después de abandonar la Marina, Abrashoff fue co-fundador de GLS Worldwide y ha trabajado con más de 1.000 organizaciones, desde organizaciones sin fines de lucro hasta Fortune Diez Empresas para inculcar iniciativas de liderazgo en todos los niveles. Al enseñar el valor de empoderar a cada individuo para compartir la responsabilidad de alcanzar la excelencia, ha realizado un cambio fenomenal en algunos de los lugares más inesperados. Su nave, Abrashoff diría en el Benfold que esto se ha convertido en un byword a través de América corporativa. Moviéndose hacia un mundo en tiempo real: Tráfico de eventos, ecosistemas de datos e innovación colaborativa Como sensores avanzados, la tecnología móvil y la Internet de las cosas exponen una gran cantidad de datos operacionales, los líderes buscan cómo sacar provecho de los datos ldquobig. Las tendencias emergentes y cómo OSIsoftrsquos misión fundamental, para garantizar que los clientes tienen acceso a sus datos siempre que, sin embargo y donde sea necesario, sigue siendo fundamental en este entorno. Pocos datos significan mucho dinero, ya sea en el piso de la planta o en la C-suite, los datos operacionales continúan sirviendo de base para una toma de decisiones informada. El Dr. Kennedy discutirá cómo un enfoque del Sistema PI sirve para dar forma, validar y proteger datos críticos creando información precisa, rastreable y procesable. Escala, flexibilidad y conectividad Los datos de ldquoBigrdquo comienzan como pocos datos. Con el tiempo, los usuarios del Sistema PI han evolucionado desde el monitoreo de activos únicos y críticos hasta áreas de plantas, hasta plantas completas y finalmente a través de plantas. A medida que se reducen los obstáculos a la conectividad eficiente, los ecosistemas de datos respaldados por el Sistema PI están potenciando las iniciativas de Servicios Conectados, Transporte y Ciudad Inteligente. Socios: otras compañías ofrecen software para instrumentación, análisis o servicios que nuestros clientes necesitan. El año pasado, OSIsoft decidió mejorar nuestra relación con estas compañías a través de un Programa de Socios mejorado. Continuamos encontrando y trabajando con las otras compañías para integrar mejor nuestros productos y servir a nuestros clientes. Adhiriendo a nuestros valores fundamentales a medida que avanza la tecnología, OSIsoft trabaja para apoyar a todos y cada uno de sus clientes. Los usuarios industriales consideran que la vida de una unidad de proceso es del orden de 50 años, por lo que el software con una vida de 5 años simplemente no es aceptable. Nuestro objetivo es construir el sistema más apropiado para hoy, mientras que la prueba futura de nuestros usuarios y la protección de su inversión y mantener la empresa lo suficientemente sólida como para seguir haciéndolo. Póngase en el mapa: La fusión del sistema PI Esri ArcGIS Esri permite a las organizaciones maximizar los datos y las aplicaciones al revelar el lugar de sus datos corporativos. Esri ArcGIS amplía el valor de las aplicaciones empresariales tradicionales mediante la incorporación de SIG (sistemas de información geográfica) para ayudarle a visualizar, cuestionar, analizar, interpretar y comprender los datos. Se compone de una plataforma escalable que funciona en la nube, en dispositivos móviles y dentro de los sistemas existentes de tecnología de la información (TI). El resultado es el acceso a una mejor información para las organizaciones en cada nivel que descubre las relaciones, patrones y tendencias que de otro modo permanecerían encerrados. OSIsoft y Esri están trabajando juntos para asegurarse de que son capaces de aprovechar el poder de sus datos con SIG. Al mostrar datos en red en tiempo real e información histórica en un mapa, podrá ver patrones basados ​​en geografía y realizar análisis espaciales. La combinación de Esri ArcGIS el PI System traerá sus datos a la vida y lo pondrá en el mapa Realizando la energía de (sus) datos Datos grandes, BI de la energía, movilidad qué significan realmente a su negocio y cómo pueden mejorar su parte inferior Line Aprovechar la información que ya tiene de nuevas maneras puede ayudarle a no sólo más con menos, sino con NUEVA con menos. Conozca las innovadoras formas en que las empresas y los gobiernos están aprovechando uno de sus mayores activos para aumentar la comprensión, la eficiencia y la seguridad. Syngenta Enogen Business Case Study: Nuestra evolución a los servicios conectados Syngentas Enogen business sólo ha estado utilizando el sistema OSIsoft PI durante menos de 2 años, pero ya lo ha convertido en un núcleo y una parte integral de la estrategia para el rápido crecimiento de esta nueva pero sumamente importante Syngenta negocio. La presentación revisará el viaje de transformación que el equipo de Enogen ha tomado, que ha implicado el uso de muchas de las más recientes tecnologías OSIsoft PI y Microsoft, incluyendo Windows Azure, Asset Framework y Event Frames. Recientemente, Syngenta también se embarcó en un nuevo acuerdo de licencia para proporcionar servicios conectados a las plantas de las partes interesadas. Esto permite al equipo de Enogen aprovechar el trabajo de PI que se estaba haciendo originalmente para uso interno con las plantas que proporcionan los datos y para compartir la información gestionada utilizando el conjunto de herramientas de análisis, informes y visualización de PI. El enfoque de Servicios Conectados se está probando actualmente en una parte clave de la planta de etanol. Confiabilidad del Sistema Columbia Pipeline Group Para que Columbia Pipeline Group (CPG) sea el líder de la industria en servicio al cliente y para satisfacer las demandas de nuestra industria extremadamente competitiva, debemos operar de manera segura y eficiente con un alto grado de confiabilidad. CPG sirve a algunos de los mercados de energía de mayor valor de la nación a través de nuestras instalaciones de transmisión y almacenamiento de gas natural. La tubería interestatal se extiende 15.000 millas y abarca 16 estados con aproximadamente 1,1 millones de caballos de fuerza de compresión alojados en más de 100 estaciones. En el Columbia Pipeline Group, el OSIsoft Enterprise Agreement permite la utilización de tecnología líder para tomar decisiones de Big Data. Estamos analizando datos en tiempo real para evitar eventos de instalaciones mediante la aplicación de herramientas OSIsoft, Microsoft y Transpara con un ahorro estimado de evitación de fallos de aproximadamente 2 millones hasta la fecha. El análisis y el monitoreo de los datos permitieron que la CPG fuera a resistir algunos de los días de entrega más fríos en 30 años. Los días 6 y 7 de enero, el rendimiento de CPG se ubicó entre los cinco primeros días de mayor pico de todos los tiempos desde 1981. Mientras que la demanda del noreste alcanzó niveles récord durante el vórtice polar, los activos de Columbia Pipeline Group funcionaron confiablemente sin interrupciones en el suministro de gas natural. Un cliente expresó su aprecio, sólo quería agradecer a todos en CPG por ayudarnos a servir a nuestros clientes de manera fiable y segura a través de algunas de las condiciones más severas que se experimentaron en años, quizás décadas. Los acontecimientos recientes demuestran que poseer la capacidad de detectar posibles fallos temprano proporciona un tremendo valor no sólo a CPG, sino también a nuestros clientes y al medio ambiente. El Poder de la Decisión de Datos Listo en Tiempo Real Jenny Kennedy Linton - Presidente y Martin Otterson - Vicepresidente Senior, dará la bienvenida a los asistentes a nuestra 25a conferencia anual de usuarios. A continuación, presentará el tema de nuestra conferencia: El poder de los datos - Decision Ready en tiempo real que está respaldado por nuestros tres temas clave El poder de la conexión, Liberar su infraestructura y la información sobre el terreno. The Second Machine Age Andrew comparte temas clave de su nuevo libro The Second Machine Age publicado este mes de enero. Describe su convicción de que estamos en un punto de inflexión en las primeras etapas de un cambio tan profundo como lo que fue provocado por la Revolución Industrial y iniciado por el incesante crecimiento en poder de computación, datos masivos e innovaciones recombinantes. La forma en que experimentamos el BI de BI de Insight (BI y Big Data) para Office 365, un servicio de inteligencia de negocios basado en la nube que ofrece a las personas una poderosa nueva manera de trabajar con los datos en las herramientas que usan diariamente, Excel y Office 365. Con Excel Ahora puede descubrir, analizar y visualizar datos como nunca antes para encontrar información valiosa de negocios. Con Power BI para los clientes de Office 365, puede implementar fácilmente un entorno de BI basado en la nube en el que las personas puedan compartir opiniones, colaborar y acceder a informes desde cualquier lugar. Esta sesión se centrará en ver Power BI para Office 365 en acción. A través de una variedad de exploración de datos y ejemplos de visualización, vemos cómo la nueva solución de BI de Microsofts permite a más usuarios experimentar percepciones y crear equilibrio entre las operaciones de BI de autoservicio y de TI, que es un acelerador clave para la adopción. Con Power BI para Office 365, los datos de Windows Azure, Office y fuentes de datos locales como OSIsoft PI se combinan en experiencias de BI modernas y accesibles. Avance en su inversión en la infraestructura PI: Servidor PI 2014 En esta sesión, demostraremos cómo el próximo PI Server 2014 mejorará muchas facetas de su sistema PI, permitiéndole liberar fácilmente la potencia de su infraestructura PI. Imagine hacer más resultados disponibles para aún más usuarios - usted puede tener que, además de obtener sellos de tiempo en el futuro. Únase a nosotros y vea lo que hay en la tienda para el 2014 PI Server. Llegar a un Sistema PI Cerca de Usted En esta sesión planeada para aquellos con un buen conocimiento práctico del Sistema PI, vamos a mostrar una rápida descripción de lo que es nuevo en el Sistema PI y lo que se está trabajando para el próximo año. Esta charla le ayudará a entender nuestro roadmap de productos y le dará una mejor visión de los lugares más apropiados para pasar su tiempo en esta Conferencia de Usuarios de este año. Connecting Space And Time - OSIsoft y Esri At Users Conference 2013, OSIsoft anunció una asociación con Esri, el estándar de oro para el análisis geoespacial y mapas. Esta colaboración ha llevado a la creación de un producto, PI Integrator para Esri ArcGIS, que hace que los mapas en tiempo real sean una realidad fácil para la empresa. La solución empaquetada entregará los datos del sistema PI al corazón de la plataforma Esris ArcGIS, donde contiene mapas hermosos y perspicaces y potencia el geoanálisis en tiempo real. Esta sesión tomará un recorrido en profundidad de sus capacidades y experiencia. Aprenda lo que la experiencia de configuración simple implica para los administradores y luego vea los impresionantes resultados de los datos del sistema PI que colorean un mapa y alimentan análisis geoespaciales. Conectar la empresa inquisitiva: OSIsoft y Microsoft Power BI Venga a ver cómo se pueden utilizar nuevas herramientas para mejorar el descubrimiento del comportamiento del proceso o para la toma de decisiones astuta dentro de su organización. Las nuevas tecnologías han evolucionado para tomar datos más allá de la capa de información y transformarla en inteligencia. Microsoft Power BI para Office 365 proporciona herramientas de análisis innovadoras y nuevas formas de conectar a más usuarios a los datos del sistema PI. El nuevo Servicio PI OData alinea la Infraestructura PI con estas tecnologías simplificando el acceso a los datos a través de Microsoft Power Query para Excel 2013. Esta sesión demostrará estas nuevas aplicaciones, incluyendo Power QA, que puede responder a las preguntas utilizando los datos del Sistema PI en el momento. Conexión de aplicaciones web y móviles al sistema PI Conectando personas y procesos con PI Systems a través de aplicaciones web y móviles habilitadas para la nube, ése es el poder de los sistemas PI Web API y PI Cloud Access. La combinación de estas tecnologías permite una nueva clase de aplicaciones web / móviles, multiplataforma y de intercambio de datos entre empresas. Esta sesión destacará las oportunidades de desarrollo de aplicaciones que ofrecen estas tecnologías y cubrirá la visión y la hoja de ruta. Detectar, Visualizar y Actuar: Cómo Proporcionar Contexto a Eventos Críticos Los Marcos de Eventos PI permiten a los clientes registrar y encontrar eventos importantes de proceso o de negocios tales como tiempo de inactividad, excursiones de proceso, arranques y otros eventos con una hora de inicio y una hora de finalización. En esta sesión, demostraremos el soporte de Marcos de Eventos PI en el Sistema PI. Asista a aprender cómo puede aprovechar el poder de los eventos en su Sistema PI. Reportes Eventuales con PI DataLink 2014 PI DataLink 2014 hace que los informes del Sistema PI sean aún mejores al reportar eventos y profundizar en datos históricos introduciendo soporte para Marcos de Eventos PI. También hace que la localización de activos se base en criterios de las plantillas de PI Asset Framework brillando rápidamente con una nueva búsqueda basada en plantillas. Otras mejoras incluyen búsqueda general más rápida y navegación, metadatos mejorados y más. Ven a esta sesión para ver todos los momentos destacados de los dos últimos lanzamientos y la próxima versión de PI DataLink. Evolución de la comunidad de desarrolladores de OSIsoft: lo que usted necesita saber A medida que el sistema PI evoluciona desde un mundo de servidores y equipos de escritorio a un mundo de servicios y dispositivos, la estructura de soporte para nuestra comunidad de desarrolladores también debe evolucionar. OSIsoft está estableciendo lo que llamamos la Plataforma de Desarrolladores de PI dirigida a apoyar los esfuerzos de desarrollo modernos y facilitando a los desarrolladores obtener las herramientas y el soporte que necesitan. Nuestro objetivo final es proporcionarle todo lo necesario para ser un desarrollador de éxito con el fin de liberar el poder de los datos. Esto se aplica tanto a los socios de OSIsoft como a los clientes. Algunas tecnologías se abrirán y serán más fácilmente accesibles, mientras que otras serán desaconsejadas con el tiempo. Esta charla se ampliará en estos conceptos, le dará una idea mejor de lo que estamos haciendo para invertir en nuestra comunidad de desarrolladores, y hablar de cómo eso le afecta. Usuarios de lotes PI: Migración por lotes a cuadros de eventos PI Esta charla es para clientes de PI Batch. Aquí entramos en detalles de los planes de OSIsofts para migrar los datos de PI Batch a PI Event Frames en PI Server 2014. Daremos demos sobre las maneras actuales de visualizar eventos por lotes en el Sistema PI, incluyendo PI Coresight y PI Data Link. PI Coresight 2014: Ponga el procesador PI en su bolsillo Continúe aprovechando la inversión de visualización existente y comience a usar los dispositivos que sus usuarios están exigiendo. PI Coresight 2014 es compatible con las pantallas PI ProcessBook y puede visualizarse en cualquier dispositivo, ya sea dentro o fuera de la empresa. Vamos a demostrar lo fácil que es importar y ver las pantallas PI ProcessBook en prácticamente cualquier navegador, y hablar sobre las ventajas y limitaciones de esta gran nueva capacidad de PI Coresight 2014. PI System 101: Fundamentos para principiantes ¿Es nuevo en el PI Sistema Un usuario final sin saber de dónde provienen sus datos Un administrador de PI que necesita aprender sobre nuevas herramientas Venga a esta sesión para averiguar de qué se trata el sistema PI, cómo la infraestructura puede beneficiar a su organización para ofrecer un valor real y Para ver una demostración de alto nivel de cómo los clientes trabajan con nuestras herramientas para obtener una visión de sus procesos. Esta sesión de media hora le dará los conceptos básicos que necesita para entender muchas de las otras presentaciones que estarán disponibles durante toda la conferencia. Aumentar el coeficiente intelectual de sus fuentes de datos con conectores PI inteligentes El valor de las nuevas interfaces PI basadas en activos radica en aprovechar metadatos ya disponibles en muchas fuentes de datos. Con la disminución de los tiempos de configuración y el mayor contexto en torno a los datos del sistema PI, esta tecnología reducirá el tiempo necesario para obtener nuevos datos en el sistema PI y hacerlos más fácilmente detectables. Venga y aprenda de primera mano sobre la nueva generación de Interfaces PI. El poder de una cadena de suministro conectada Un año después de presentar PI Cloud Connect como primera oferta SaaS de OSIsofts, esta sesión proporcionará una actualización sobre la tecnología y cómo los clientes la han estado utilizando desde entonces para permitir intercambios de datos entre empresas. Venga a aprender cómo puede aprovechar nuestros nuevos servicios conectados. Desarrollar el poder de los grandes datos El ecosistema de Hadoop proporciona un gran conjunto de herramientas complementarias para analizar todos los datos del Sistema PI. Esta sesión demostrará cómo aplicar Hadoop a la solución de tres patrones comunes de problemas empresariales: encontrar condiciones excepcionales sobre un conjunto completo de equipos, correlacionar muchas variables diferentes y archivos de procesamiento por lotes. En cada demostración, el conocimiento resultante será operacionalizado alimentando los resultados de nuevo a las capacidades en tiempo real del Sistema PI. ¿Qué debo hacer para fortalecer mi sistema PI contra las amenazas cibernéticas inspiradas en el desafío cibernético de EE. UU., OSIsoft creó uno para nuestro propio sistema PI. Esta misión conecta OSIsofts mejor y más brillante a la pregunta más frecuente sobre el Sistema PI y la seguridad cibernética: ¿Qué debo hacer para endurecer mi Sistema PI contra amenazas cibernéticas? Durante esta sesión, los galardonados challengers estarán disponibles para demostrar su seguridad endurecida Sistema PI que se ejecuta en la nube Azure. Venga a ver por usted mismo y aprender qué técnicas de endurecimiento se juzgaron mejor, y por qué. Mega-Tendencia Aumentará el Valor de Tu Infraestructura PI Las mega-tendencias como la Internet de las Cosas y la Máquina a Máquina han estado recibiendo atención en la comunidad industrial porque cada una tiene el potencial de alterar y cambiar radicalmente la forma en que las empresas hacer negocios. Los puntos finales se hacen más inteligentes y más pequeños, y las redes se están volviendo más robustas. Como una empresa conectada, ¿cómo captará estos datos con la Infraestructura de PI y tomará la decisión? Esta sesión discutirá los desafíos, las oportunidades y los escenarios de valor que enfrentan nuestros usuarios corporativos de PI System. Un Viaje a un Sistema Integrado de Información de Refinería con el Sistema PI En la refinería de Rijeka se han implementado desde la década de 1990 diversos sistemas de control y monitoreo digital. Varios sistemas han sido islas por su cuenta con infraestructura separada y consolas / estaciones de trabajo. Con el tiempo algunos historiadores fueron accesibles a la red de negocios, pero no existía una verdadera integración de datos. Conectando todos los sistemas de control y monitoreo usando el Sistema PI, hemos integrado datos de proceso de varios sistemas en uno solo. También se integraron los datos de varios sistemas no procesados ​​-datos de laboratorio, monitoreo del ambiente, movimientos de materiales y datos introducidos manualmente-. El sistema PI y los datos integrados dieron al usuario una infraestructura para servir estos datos a diversas necesidades y sistemas como el balance de materiales (Sigmafine), planificación y programación (Orion), medio ambiente, producción, gestión de activos, etc. Se logra utilizando Synthesis (SharePoint y PI WebParts) para que todos en la red de negocios puedan obtener información instantánea sobre los procesos de refinación. El viaje hacia un sistema integrado de información de la refinería comenzó conectando islas de sistemas de control en una PCN, construyendo una sala de servidores y parque de servidores, creando una zona DMZ para servidores PI y conectándola a la red de negocios. Después de la preparación de la infraestructura de integración de datos comenzó por la construcción de conexiones OPC a los sistemas de control y las interfaces a los datos no de proceso. Los interfaces con datos no procesados ​​se crearon utilizando PI SDK y Visual basic. NET, mientras que el control de interfaces para la lectura de datos y la creación automática de puntos PI se realiza en PI AF. PI Los datos integrados del sistema se utilizan ampliamente en muchos informes, análisis, cálculos y visualización sobre grupos de interés en la refinería y la compañía para lograr una mejor comprensión y control de los procesos de refinación. Monitorización ambiental de CPMS en instalaciones de transmisión de gas natural Presentador: Zacharie Mupeo. Compañía de Gas del Sur de California La Compañía de Gas del Sur de California (SoCalGas) cambió de cumplir las regulaciones de monitoreo ambiental usando mano de obra y papel y lápiz a un estado del sistema de monitoreo del siglo XXI en menos de tres años. SoCalGas es la mayor utilidad de distribución de gas natural de las naciones, y el territorio de servicio de SoCalGas abarca terreno en toda el centro y sur de California, desde Visalia hasta la frontera con México. Muchas de las estaciones de compresión de transmisión de SoCalGas impactadas por RICE NESHAPS están a cientos de millas de distancia de la base central de control de gas y muchas de ellas no tripuladas. Los reglamentos adoptados el 01 de abril de 2013 impactaron directamente a estas estaciones de compresores de transmisión. Esta presentación cubre la oportunidad de SoCalGas para establecer una base para abordar las regulaciones ambientales incluyendo pero no limitado a RICE NESHAPS, GHG, las reglas locales del distrito de aire y las condiciones de permiso del Título V. El Sistema PI es la base para el salto cuántico de SoCalGas en la recopilación y monitoreo de datos. Los temas tratados incluyen: Reducción de 504 horas-hombre para determinar el cumplimiento de RICE NESHAPS Generación automática de informes, consistencia en el manejo de datos Uso de MS EXCEL. VBA, PI Herramientas de acceso a datos Establecimiento de un sistema compuesto de 6 estaciones remotas más estación central para la agregación de datos, monitoreo y acceso a datos de estación para el personal no de la estación. Utilización de PI-PI sobre WAN Cada estación tiene un servidor PI dedicado Uso de MS Active Directory e Identidades PI, para autorización Racionalización de datos y monitorización de la salud del sistema Uso de los servicios de OSIsoft Partner y extensiones PI Funciones como Cálculos, , Anotación de incidentes y reportes Racionalización de datos y monitoreo de la salud del sistema Establecimiento de una infraestructura de datos ambientales Capacidad de agregar equipos y mediciones Alta confiabilidad y disponibilidad de datos Módulo de Validación de Datos Apoya el Proceso de Toma de Decisiones en Tiempo Real CEMEX comenzó usando el PI System for real - Tiempo de recolección de datos para operar una planta de manera eficiente, pero desde entonces ha estado evolucionando su uso e incorporando datos de calidad, datos de producción validada, gestión de la energía y gestión de emisiones. CEMEX llama a esta evolución la iniciativa de Gestión de la Producción de Cemento (CPM), y ha establecido la arquitectura del Sistema PI como una plataforma crucial dentro de CEMEX. La incorporación más reciente a este modelo es el módulo de validación de datos. Este sistema permite a CEMEX reunir datos en tiempo real de la línea de producción y presentarlos a los administradores de la planta que pueden validar los datos mediante la realización de ajustes en tiempo real de las variables de producción. Una vez que los datos han sido validados, el administrador de la planta puede enviar los datos a SAP en cuestión de segundos. Este módulo ha proporcionado un valor real ya que entrega datos en tiempo real desde la línea de producción hasta la plataforma ERP. Mejora de la toma de decisiones mediante la integración de datos en tiempo real y de negocios Esta presentación ofrece una visión general de una Chevron Gulf of Mexico implementación de la unidad de negocio utilizando el conjunto de software OSIsoft para mejorar el acceso de las comunidades de usuarios a datos en tiempo real Decisiones de negocios más oportunas e informadas. La comunidad de usuarios y el equipo de automatización participaron en todas las etapas de la implementación del proyecto. Una implementación escalonada incluyó mejoras, estabilización y expansión de la infraestructura existente. La capacidad del software PI AF para combinar datos de proceso en tiempo real con información empresarial seleccionada fue clave para el éxito del proyecto. La presentación cubrirá la integración de puntos clave de datos de otros sistemas (CMMS, asignación de producción, etc.) y los beneficios y limitaciones del uso del software PI Asset Framework con la integración de PI WebParts en SharePoint. Ilustrará cómo el software utiliza la navegación basada en roles para reducir el esfuerzo del usuario al permitirles buscar datos en tiempo real a través de una vista de árbol en lugar de buscar una variable. También discutirá las mejores prácticas utilizadas para asegurar la sostenibilidad a largo plazo de la solución a través de la definición del proceso de gobierno. Este proceso definió una convención de nombres estándar para cambiar el nombre de todas las etiquetas y elementos en el servidor central y desarrollar plantillas y gráficos estandarizados para hacer los datos más accesibles a todos los usuarios y garantizar la integridad de los datos. En conclusión, la presentación muestra cómo PI PI y PI WebParts facilitan la fusión de datos en tiempo real con datos empresariales para una sola compra de información. Mejora del monitoreo de procesos y operaciones en tiempo real Petronas Carigali es el brazo de PETRONAS responsable de las actividades aguas arriba desde el depósito hasta el terminal. Para asegurar que las operaciones, procesos y actividades se realicen de manera eficiente, todos los datos involucrados deben ser confiables, de buena calidad y en tiempo real. Esta presentación explicará los desafíos del negocio y cómo el Sistema PI ayudó a enfrentar estos desafíos. La implementación reciente en Erb West Platform (Malasia Oriental) utilizando datos de proceso en tiempo real, Límite de Operación Seguro y Límite Operativo Crítico se llevaron a cabo automáticamente en tiempo real, dando un ROI significativo en términos de ahorro en horas de trabajo y tiempo de cierre no planificado. Estrategia de Ventanas Operativas en PEMEX (PEMEX) Petroleos Mexicanos (PEMEX) es la mayor empresa de México y una de las mayores compañías petroleras del mundo. En una de sus divisiones, Pemex Refining, el departamento de producción ha decidido lanzar la implementación del programa Ventanas Operativas (VOs) en sus lugares de trabajo, para que el correcto funcionamiento del equipo de la planta mejore la fiabilidad operativa en sus plantas de producción. La división de Tecnología de Información Corporativa ha desarrollado una aplicación con una visión corporativa que abarca todas las áreas de la empresa, utilizando tecnología de punta y completamente enfocada en satisfacer las necesidades de los usuarios empresariales. Experience with PI Cloud Connect For JV Data Sharing Hess Corporation is a global energy company engaged in exploration and production of oil and natural gas. In the Gulf of Mexico (GOM), Hess is operator of, and has working interests in, six major deepwater oil fields. Three more fields are currently in development. In 2006, Hess was introduced to Industrial Evolutions WellShare service by their JV partner Shell. It uses a PI System interface to gather data, transform and manage it, and serve it out to a recipient. In this case, a PI-to-PI interface was used to collect data from Shells GOM PI System over a secure VPN according to Shells security standard, transform it to Hesss standard and serve it to Hesss PI System according to their security standards. Following initial success, Hess extended use of WellShare to additional assets and JV partners in the North Sea as well as the GOM, some of whom were not PI System users. They subsequently added WebTechnician from Industrial Evolution to share real-time data from the same oil fields with 3rd parties providing remote technical services. While VPN technology and performance were acceptable to Hess, it presented a support burden on the organization. When OSIsoft announced the PI Cloud Connect CTP, Hess decided to explore its suitability. Their idea was to replace one of the PI-to-PI interfaces in order to avoid use of the VPN. Hesss business model would still be to use WellShare - in other words Hess would publish PI System data to Industrial Evolution as the subscriber, not the JV partner. Hess would still rely on Industrial Evolution to publish data they receive to authorized JV partners, clearly delineating Hesss commercial and technical support responsibilities. This presentation describes Hesss initial experiences in using PI Cloud Connect in a production environment. It will address issues such as ease of implementation, security, performance and support. Implementation of PI System as Tool for Generating Operations Reports Production fields in oil industries have modernized their control and measurement systems to make measurement and operating data more reliable. However, there is critical information in the field that is gathered manually through physical reports even when there is automation. Time spent by engineers in gathering, setting up and sending this data causes loss of effort and time better spent on analyzing the information. The Operational Management Information System (SIGO for its acronym in Spanish) was developed to optimize operational information management for upstream oil fields in Rubiales and Quifa It takes advantage of automation infrastructure installed in the field and uses the PI System as a tool for operational information management, assurance and visualization as well as reporting and monitoring process indicators available in crude oil production fields. The PI System integrates a PI Server with a data base where historic information gathered manually in the field, data received from oil production specialized analysis systems and data from SCADA system are stored. PI AF is used to organize the stored information. PI ACE is used to optimize information analysis through advanced calculations. PI Web Parts is integrated with a Sharepoint platform to visualize the information in a web environment. PI Data Link makes the information available in Excel. PI ProcessBook displays in graphics the information and PI CoreSight works as a display manager for the web environment in mobile devices (iPod, iPad or iPhone). Improving Operational Performance with the PI System At Wheelabrator Technologies Inc, efficient boiler operation was not a top priority but in todays operating environment, with falling energy prices and decreased waste volumes, the focus has changed. Finding ways to increase efficiency is now more important than ever. PI Processbook displays and PI Datalink reports are used at each facility to assist the plant operator in keeping the steam flow process variable closer to set point since lost steam flow is lost opportunity and cannot be recovered. Dashboards with visual cues created by using the multi-state symbol function allow for tightening of alarm limits and color sets to signify progressive deviation, and allow the operator to know from across the room whether the plant equipment is running OK or not. If youre Running Green, youre good. Other displays have been developed for facilities with river water cooling systems to monitor real-time temperature and temperature deviation as required by permit. Displays such as this allow operators to make informed and calculated adjustments to the heat loading of the turbine generator (which translates into megawatts and therefore revenue) instead of making excessively large load reductions to ensure permit compliance at the expense of lost revenue. The PSION Workabout Pro3 handheld has been rolled out to replace the field operator clipboard. Before the PI System came to Wheelabrator, the operations department would make rounds of equipment with a sheet of paper and a clipboard. That data was not always able to be used in a value added way because it was difficult to piece together trends and inspection data. Flash forward to today. Operation rounds are performed on the handheld, the information is date stamped, the operators name is recorded and it is all stored in the PI System. This makes viewing, trending, and using the data easy, fast and comprehensible. Innovation around the PI System: Paris Water Supply Veolia Environnements subsidiary, Veolia Eau dIle-de-France, manages water production and distribution for the Greater Paris water authority, Syndicat des Eaux dIle-de-France. SEDIF serves 4.3 million residents in 149 municipalities in the Paris region. With close to 750,000 m3 distributed every day, it is the largest water utility in France and one of the first in Europe. Nearly 240 billion liters were consumed in 2012 through a network of pipes 8,230 km in length. In 2011, SEDIF renewed its agreement with Veolia Water the new contract introduced a concept of responsibility and a useful innovation with: ServO. a single monitoring and operation center designed to control risk, to manage customer response, to optimize water production and monitor network distribution. PEEE: to reduce energy consumption and manage emissions and discharges ensure a zero carbon service, a world first for a water service Qualio: to implement water traceability, based on the food and beverage industry model, in order to guarantee customers continuous control of the sanitary quality of their water Teleo: third-generation remote meter reading, enables users to precisely monitor their consumption, thus facilitating leak detection ResEcho: a sophisticated network monitoring and asset management resourcethat enables Veolia Water to maintain an unusually low rate of leaks on all SEDIF water lines The PI system is an important part of the information system of Veolia Eau dle de France. It has become the repository for all real-time measurements. The PI System is both a Big Data and a management system for events in real time, which allows the user to address a multitude of functional requirements for operators and provide interoperability. Monitoring Implementation for Measuring Points and Pipelines of PEMEX Pemex Management of Transport and Distribution of Hydrocarbon North Region has responsibility that extends from the north of the country starting in Burgos Production Management and ending in Veracruz Production Management. Currently PEMEX has a pipeline network of 648 km comprised of gasoline pipelines and oil pipelines, some classified as critical. It also has oil and gas measurement points for custody transfer. Geographic dispersion along with the lack of communication infrastructure, information systems and storage at measurement points and on pipelines hinders proper management of transport and distribution processes by not permitting delivery of continuous and timely information in the administrative offices to allow decisions effectively. To support a strategy for the effective management of hydrocarbon transport and distribution processes a real-time monitoring system was implemented, one that would provide for supervising operating variables of six oil pipelines, three gasoline pipelines and nine measurement points. Data acquisition was performed using Modbus PI interfaces which, through the Pemex network, acquire information from flow computers, flow meters and pressure transmitters installed in facilities and pipelines from GTDHRN. Integration of all variables was done in the local PI Server, where alarm and status variables were created. For data exploitation, display graphics were designed, and monitoring portals for executive users and reports were developed according to customer requirements. Implementation of real-time monitoring of operating information is a tool that enables analysis, evaluation and decision making. Among the benefits obtained were: preventive reaction to unwanted events such as leaks and interruptions pumping real-time data exploitation in ways such as production reports and statistical analysis process to acknowledge operating conditions. Optimizing Asset Reliability with the Health Rating Program This is a joint presentation with three speakers. Scott Larson will provide an overview of the SunCoke Energy PI System and discuss how SunCoke Energy is leveraging their enterprise agreement (EA) to support this program Jason Crum will provide an overview of the coking process and ovens and talk about the overall program objectives and development Wes Alderman, a field oven inspector, will talk about using the PI Manual Logger application in oven inspections and the resulting time savings and efficiencies already realized in the short time the program has been in place. Product Quality Giveaway Reduction Program Supported by PI System The giveaway gap is the difference between the quality of the product and the quality specification. It means that the manufacturer produces better quality product than needed, which has an effect on the cost (lower yield, more energy, higher temperature, more reflux, etc.). The PI System has a first class tool set which can provide professional support to quality giveaway reduction efforts. The most important step is to know (first realize, then monitor) how big is the gap between current quality and the specification. Registering quality specifications to the PI Server and gathering all matched quality information (lab measurements, on-line analyzer values, soft-sensor quality calculations) in Asset Framework helps to filter out off-spec qualities, helps in reducing quality giveaway, ensures easier access to this data for a report or data analysis and provides information for additional procedures. An advanced practice--the so-called Tank Quality Integration--is a very useful application what can provide up-to-date information about key qualities in the product tank. This presentation will explain how MOL, Plc. is using PI System applications and how much they have saved with quality giveaway reduction programs. Realizing Business Value from PI Manual Logger Applications Plant facilities are packed with signals distributed all around the plant. Some of these signals make it to the control room through the different control systems. Others are manually collected, and managing them usually represents a tough challenge that consumes time, cost and effort without achieving the required data accuracy, reliability and quality. Plant operations and other business functions at Methanex requested a solution to collect, archive, visualize and analyze the manually-collected data in an efficient and reliable manner similar to the real-time data managed by the PI System. It is of equal importance to minimize time between data collection and its availability to business network users. Achieving this would improve the quality of the problem investigation process and support the business decision making in a timely fashion. However, these benefits could only be achieved after overcoming the challenges associated with these kinds of tasks dealing with the management of manual data interface. PI Manual Logger (PIML) system (including PIML client and mobile applications) combined with data logger handheld devices equipped with bar-coding capabilities were used. These allow data collection and interface to the existing PI Server. It presented a reliable solution, provided significant cost and effort savings and significantly reduced the time required to make the data available. Now there are 4,500 manual daily readings available for all business stakeholders and PI System clients that use this solution. Plant manual data has become part of the PI System data platform, which enables plant users to benefit from the standard PI System features and make business decisions in real-time. Smart Batch Monitoring with VBA Improves Problem Identification Smart batch monitoring is an effective way to easily identify problems as they occur, and provides engineering and operations valuable time to react to the batch and prevent the problem from propagating into more problems downstream, as well as to provide better visibility for predictive scheduling. Trending problems can also identify necessary maintenance work while the problem is minor, allowing maintenance work to be done on schedule and before major failures. This concept is useful for almost any operation, but is especially useful in batch plants with numerous different recipes which it would be unrealistic to update manually. The PI ProcessBook display uses PI Batch and visual basic coding to show characteristic trends, such as temperature, pressure, progression of reaction, and steam usage, for each batch currently being produced. These trends are overlaid on the recent history of this products production in this vessel using a batch group, and then have a golden batch identified by engineering added to the batch group using Visual Basic (VB). Small deviations such as temperature or a higher than normal steam usage can be indications of a problem such as contamination, off-track reactions, and equipment fouling or fatigue this display makes these deviations obvious. The use of VB coding allows the display to run untouched in the control rooms 24/7 with operators able to constantly monitor the batches at a level of detail necessary to reliably and quickly identify problems while they are still small. The code refreshes the display every time a new recipe is set to a production vessel in the DCS by changing the product being displayed to match the one that is now being made, and changes the golden batch to this products ideal instance. Supporting Sustainability Operations with Water Management To efficiently manage water operations through discharge of water to the environment is one of the biggest challenges in the Yanacocha mining operation. Unlike at most other mining operations, where Yanacocha operates there is a rainy season seven months of the year, with frequent rain throughout most of the year. Greater restrictions on our distribution, processing and water discharge to the environment mean that these processes become more costly as Yanacocha areas of operations have expanded. The challenge is even greater when the company stores excess water during the rainy season to be distributed and discharged during the dry season as part of its social responsibility. Captured rainwater enters the mine system and requires proper treatment for discharge to the environment. At least 5 million m3 enter the system by rain annually but operations needs only 2 million m3. The total volume of water treatment and discharge to the environment annually is about 32 million m3, with power consumption that exceeds 30,000 mWatts / h average. The PI System centralizes data about water entering the system, provides the data to software simulation for the water balance and estimates of treatment, centralizes data from water quality laboratories and laboratory processes for estimates of the efficiency of water treatment processes, and centralizes data on power consumption. This enables Yanacocha to align strategic planning for sustainability and social and environmental responsibility with planning for growth. The PI System, Remote Diagnostics and the Collaborative Supply Chain Presenter: Nick Ward. OSyS, part of the Rolls Royce Group Condition monitoring is the natural bedfellow for the PI System, but it has traditionally been delivered as a deployed solution or remote service. These access the low-hanging fruit in terms of value, but neither option is ideal for collaboration between Operator, OEM and Service Provider. The advent of OSIsofts cloud-based data sharing breaks down barriers and allows companies to realize the harder-to-reach value of condition monitoring across vendors. The new generation of data acquisition, sharing and analytics means that equipment operators can start to move towards a truly risk-managed approach, based on the increased confidence in the predictability of the equipment health and performance. Rolls-Royce is working towards a model of 90 predictability with their PI System. The Power of Data - Different Users, Same Benefit Presenter: Yuelong Su. China National Bluestar (Group) The China National Bluestar (Group) Co, Ltd is centered on the chemical industry and focuses on new chemical materials and animal nutrition. Bluestar has developed rapidly and grown into one of Chinas most successful chemical companies. To stay competitive, the company and subordinate enterprises used the PI System to provide the real-time data infrastructure and collaboration tools they need to meet key challenges. The users explain how they applied and benefited from their PI System. These users include Bluestar site engineers with different roles and company headquarters managers in different departments their applications based on the PI System include tank management, overall unit effectiveness analysis, control method simulation, statistical quality control (SQC) and implementing six-sigma initiatives. Though applied by different users, these successful applications have the same benefit for the whole company: optimizing production and increasing energy efficiency. This is the power of data derived from use of the PI System. Using PI System to Aggregate, Analyze, and Visualize Data Presenter: Robert Lane. Washington River Protection Solutions (WRPS) Washington River Protection Solutions (WRPS) is a Prime Contractor to the Department of Energy (DOE) responsible for the Tank Operating Contract (TOC) on the Hanford Site near Richland, Washington. WRPS is responsible for care and maintenance of the Waste Storage Tanks at Hanford. The Waste Storage Tanks contain chemical and nuclear waste left over from plutonium production since World War II through the end of the Cold War. The Hanford Site is now in a clean-up, preservation, and disposal operation. Upgrading from decades-old, custom-developed solutions presents many challenges that require innovative solutions. Integrating numerous custom and COTS standalone solutions to a PI System-based solution allows for a central data repository that enables levels of analysis, information, and data availability that were not previously possible. Using the PI System for Full-Featured Vibration Monitoring This presentation explores the use of the PI System as the infrastructure for collection and visualization of machinery condition monitoring data, including high-speed vibration waveforms and specialized data presentation formats such as shaft orbits, vibration spectra, bode / polar plots, and others. Historically, the vibration data collection rates necessary to allow detailed machinery diagnostics were too fast to entertain use of the plants process historian, particularly when a system was going to encompass dozens or hundreds of vibration channels. As a result, stand-alone vibration monitoring software infrastructures with their own proprietary databases, servers, display clients, security models, and network connections evolved out of necessity to handle the data collection speeds required. However, as the capabilities of the PI System have improved, now surpassing one million tags per second, the ability to treat vibration waveforms as simply another type of time series data in the PI System database has become practical and is already in use at a dozen end user sites globally. Industry Day Presentations Linking Government, Industry and Academia Presenter: Donald Paul,. University of Southern California Professor Paul will discuss dynamics of the technology system, workforce development, and economic growth through the effective interaction of government policies, industrial opportunities, and academic programs as applied to the energy sector. This linkage is of particular importance in the energy sector, where a dynamic balance of economic opportunities, public policy objectives, and environmental requirements are demanded from the system. The combination of large scale infrastructures, large capital deployments, long-lived assets, and technological intensity create the need for a much more integrated and multi-disciplinary approach to effective RD and the development of the future workforce. This is particularly visible in the ongoing growth in the areas of Digital Energy and Intelligent Infrastructures, which represent the major intersection of advancing information and control technologies with the large-scale infrastructures associated with oil and gas, fuel, and electric power. Rapid diversification of electric power generation sources, combined with emergence of the Smart Grid is a specific area demanding new combinations of technology and workforce capabilities. Developing an effective environment to meet these challenges will require forging new and enhanced linkages between government, industry, and academia. Paul will speak on how developing innovative intersections of government, industry and academia is addressing the challenges for energy RD, technology demonstration and deployment, and advancing workforce education and development. The mission of USC Energy Institute is to address these challenges and opportunities by developing partnerships directed at complex, integrated energy systems and infrastructures. USC Energy Institute programs span the range of energy systems from natural resource development to power grid systems operations to the role of consumer behavior in energy efficiency. Programs are focused in particular on demonstrations at scale and providing experimental energy infrastructures to validate advanced energy and information technologies. The USC Smart Grid Living Laboratory was created to utilize the 50,000 person campus community and infrastructure as an experimental mini-city to develop and validate research. Specific research areas include technologies in energy informatics, cyber-security, energy efficiency, human and social behaviors, and electric vehicle system integration. The Marriage of Public Sector and Academia to Attract Companies and Incubate Innovative Ideas Jim Waring, Executive Chairman Co-Founder of CleanTECH San Diego will join Academia Industry Dayto discuss the role a cleantech cluster associationplays in attracting companies and incubatinginnovative ideas across a regional economy. Waringwill discuss CleanTECH San Diegos recent work toimplement the City as a System pilot project in San Diego. Its goal is to deploy data infrastructureacross a citys physical landscape to produce real-time energy usage analytics and recommend energyefficient behaviors based on the data. Ultimately the project will allow buildings to be connected asasingle operational system, which will lower individual and aggregate energy consumption and establishcritical load reduction. The process will also provide rich-data access to researchers and engineers atpartner universities to drive innovation and economic development. Once proven, the goal is to expandand replicate the City as a System model more broadly across the region and other markets. Carnegie Mellon Intelligent Dashboards: From Lab to Market The building environment is an emerging market fordata driven control for energy efficiency and indoor environmental quality (IEQ). Rapid adoption of energy disclosure laws by cities from New York to Seattle, combined with sensor and controller data from building automation systems across the nation, is generating data at a rate the building communitycannot comprehend. OSIsofts PI System data baseoffers a stellar opportunity to absorb these disparate data sources and provide data cleansing, dataanalytics, and real-time communication on multipleplatforms, to instigate action by the building community for energy and IEQ. This presentation will unveil Carnegie Mellons Intelligent Dashboardsatthe Occupant (ID-O), facility managers (ID-F) and city/campus scale (ID-C) that have been taken from labto market testing in collaboration with DOE, DOD, Siemens, university and corporate partners. A Robust Data Management System for Integrating Campus Sustainability Goals Over the last several years UC Davis has been building out a data management system to collect, historize, and report real-time operational data that is crucial for assessing and improving campus energy use and sustainability. The PI System, withits capability to receive data from a variety ofsources, store it efficiently, and provide easy access to data for a variety of clients, serves as thehub forthis system. It provides access to data from numerous campus systems such as building energy and utilities metering and central plant controls and metering. Campus efforts are focused around these initiatives: Standardizing data collection and quality control processes across operational units Automating reporting to help decision makersoptimize operations Collaborating with sustainability research efforts using the campus as a proof of concept Integrating use of campus data into academiccurriculum Expanding the system to incorporate other campus data including occupancy-based building lightingcontrols, HVAC control systems, smart thermostat feedback, and campus water and wastewater systems Developing a cutting-edge interface for data visualization On the last point, the campus has already deployed a web interface that uses the PI system data from both the building energy metering and a smart thermostat system to provide energy feedback todormitory residents through an energy competition. Work is underway to expand this feedback systemto include interactive building energy usage displays to engage building occupants across the campus. We are exploring more ways to visualize and analyze building energy usage to encourage stakeholders across campus to conserve energy. Ideas on Integration of OSIsoft Into Chemical Engineering Curricula This talk will summarize the status of data education in chemical engineering curricula, providing examples where data are not covered at all to some examples of the efforts of dedicated faculty to including data in the curricula. It will discuss why existing engineering curricula have little coverage of data and why this situation is difficult to change. The last part of the talk will describe efforts at MIT to train chemical engineering students to analyze and make decisions based on heterogeneous data sets ranging in size from small to very big. The talk will describe ideas to integrate OSIsoft into other chemical engineering curricula, including (1) development of insertion modules with clearly defined learning objectives and with varying time commitments, (2) making tutorial visualizations and remote software operation available to universities, and (3) supporting ldquodata advocatesrdquo within specific programs to develop and evaluate insertion modules. Microgrid: A New Hub in Energy Infrastructure Microgrids are small-scale versions of centralized electric power systems. They achieve specific goals of distributed power systems, such as reliability and self-healing, sustainability and diversification of energy sources, and energy efficiency and cost reduction, established by communities in various parts of a large power system. Microgrids integrate renewable resources at the community level and allow for customer participations in the operation of an electricity infrastructure. Microgrids form the building blocks of perfect power systems which promote real-time pricing and demand response, and applications of smart grid to the distributed control of electric power systems. This presentation will highlight some of the key issues with the design and operation of microgrids and discuss the role of recent innovations and, in particular, the significance of smart grid applications to power system operations and control. The presentation will also discuss the development of a microgrid funded by the U. S. Department of Energy and implemented at Illinois Institute of Technology. Global IEEE activities for promoting smart grid technologies will also be discussed. Predictive Analytics for Real-time Energy Management and Dynamic Demand Response The University of California, San Diego (UCSD) is owner-operator of a 45 MW peak load Smart Grid and one of the first adopters of many Smart Grid technologies, including multiple renewable and non-renewable energy generation resources, significant energy storage, and sophisticated monitoring for controlling flex-demand loads for a community of 54,000 energy consumers. UCSD owns and maintains a 69 kV substation, ninety-six 12kV underground feeder circuits and four 12kV distribution substations throughout the 1200-acre campus, and has a master controller and optimization system creating the city within a city. Advances in technology have led to an unprecedented ability to collect and store data. Harnessing the real-time streaming sensor data from modern smart grids via advanced processing, modeling, optimization, real-time forecasting and analytics is a major challenge due to the sheer volume, complexity, and rate of data acquisition. UCSD and PACEs Big Data analytics and energy sustainability researchers are utilizing the existing fully functioning UCSD Microgrid to perform predictive analytics on both the real-time and historical time-series data for developing models for detailed load forecasting, load shaping and demand response, all aimed at driving campus-scale energy efficiency. This data-driven approach aims to leverage the predictive analysis of resource consumption, renewable integration, economic activity and human behavior patterns to improve campus sustainability and efficiency. Building the Perfect Plant: A High Tech Approach to Supporting Low Cost Bioprocessing Plants The biopharmaceutical manufacturing industry is experiencing an inflection point. Competition, price controls, globalization, biosimilars and technology shifts have resulted in a new approach to building and operating manufacturing facilities. nAmgen is on the leading edge of this change, building new more flexible facilities and retrofitting existing plants to be more efficient. The result is a highly automated shop floor with integrated systems that are both faster to startup and require fewer ongoing resources to maintain. To achieve these goals, Amgen is identifying a standard IT architecture and integration approach between MES, DeltaV, OSIsoft, and other systems to streamline the flow of manufacturing data in support of electronic batch records and continued process improvement. The presentation will discuss this architecture and its benefits over traditional IT deployment models previously leveraged at Amgen plants. Enablement and Standardization of Advanced Process Data Technology with EA Sanofis Rare Disease subsidiary Genzyme is embarking on a process data analytics initiative to improve processes in manufacturing. Sanofi is also embarking on a core standardization initiative in Manufacturing Quality Operations, with the goal of streamlining the implementation process for new manufacturing technologies across their network. Nick Alexiades will discuss these initiatives and describe how the recently signed Enterprise Agreement will help enable these and future initiatives within Sanofi. Lean Validation as Part of Standard OSIsoft PI System Deployments at JampJ Within the regulated industries, the OSIsoft PI System can be considered a GMP critical application. In the past, OSIsoft PI Systems were validated according to each sitersquos local procedures. This presentation will explain how JampJ came to a common and lean validation approach across the organization, based on industry and computer system validation standards. It will also discuss how they gradually implement the approach as part of a standardized deployment of the OSIsoft PI System. Custom DeltaV PI System to Provide Plant Redundancy A pharmaceutical facility had lost a batch, a multi-million dollar loss, due to a DeltaV Embedded Historian failure. Review of the feasibility of redundant historians showed options were cost prohibitive. The user needed a robust architecture that implemented available OSIsoft redundancy features and was compatible with the DeltaV Control System. After reviewing OSIsoft and Emerson recommendations, the integrator designed a unique solution to meet business needs. The implemented Enterprise PI for DeltaV using Redundant Interfaces, PI High Availability and Virtual Servers, then completed this project during a brief plant shutdown and parallel with multiple site enhancement projects. This required extensive design, accelerated deployment, and cross-functional collaboration. The resulting solution prepares site for future expansion and reduced risk of batch loss. At Kellogg, Savings Are in the Air This presentation is based on significant potential savings realized after analyzing historical PI System trends which showed that inefficient air compressor control systems operation caused excessive electricity consumption. Conservatively estimated savings potential easily justified new control systems integration. After project completion, new energy reduction opportunities were realized based on improved system trending in the PI System. A new project captured these additional savings as well as justifying custom incentive pay back from local utilities. This resulted in repeatable total electrical reduction of 2.65M kWh/year and a one-time payback from the local utilities of 265k, far exceeding the initial savings calculations. Path to a Unified Data Infrastructure This presentation will show the path Biogen has taken since moving from pre-2010 PI System to their current, unified data infrastructure. Biogen has moved the role of the PI System from a data historian for compliance reporting and trending to a problem solving and problem-avoidance tool. The presentation will discuss ways they used Asset Framework, ACE calculations and Web Parts in their PI Systems for cGMP, Pilot-Scale Manufacturing and Facilities. The PI System makes scale-up from product development to manufacturing easier, monitoring facilities to provide pro-active maintenance and keep facilities in a compliant state. How Corning in Kennebunk Uses PI System Data Presenter: Ryan Dube. Corning Life Sciences Corporation In this presentation, I will provide a number of examples that show the variety of applications for PI System tools such as PI notifications, the PI Ping interface, PI SQC charts and alarms, and more. The focus is on PI SQC and how utilizing SQC charts and alarms can help manufacturing facilities not only bring manufacturing processes into control, but it can also help technicians and engineers predict when problems are about to occur - providing an opportunity to be proactive in preventing problems with the machine before they even occur. The presentation also touches some on how OSI PI can even be used in IT to monitor servers, IT assets and more - an application of the PI System that often goes overlooked. RtReports - A Bristol-Myers Squibb Perspective This presentation will showcase the BMS implementation of RtReports and the values we have been able to derive from this product. A users perspective of RtReports will highlights this product strength and some opportunities for improvement. Beyond the product offering we will explore areas where the core strength of RtReports could be leverage to fill some unmet needs around batch queries and advance analyses. Value from Data - applying MVDA for real-time monitoring and prediction. Presenters: Speaker: Domenic Schimizzi, Genentech Petter Moree, Umetrics This presentation will showcase the BMS implementation of RtReports and the values we have been able to derive from this product. A users perspective of RtReports will highlights this product strength and some opportunities for improvement. Beyond the product offering we will explore areas where the core strength of RtReports could be leverage to fill some unmet needs around batch queries and advance analyses. Curtailments, Stoppages and Other Ways to PI Event Frame the Wind Collecting and analyzing data from 60 wind farms can make any data mining task daunting. For one aspect of data that gets seen by several areas of the business, Iberdrola Renewables has added PI Event Frames to help bucket these occurrences and start making it easier to analyze implications of these events. Curtailments are a major factor for wind energy producers in the US. Use of PI Event Frames that trigger based off of a PI Attribute (utilizing regular PI Data) has made it possible to quickly draw out more information. By creating PI Event Frames for Curtailments, Iberdrola quickly gets an estimate of power lost during the previous month (or even the last week) whereas before it would take a team and multiple days to get to the same point. While the data still needs to be scrubbed, having the initial information available in near real-time is a huge step forward and we are still finding new ways to utilize the data. ACE is used to generate the Event Frame, and in doing so some back-end calculations are run as the event frame is created and closed in order to help get expected losses over the time frame. As more people at Iberdrola Renewables start using this, they expect to add monetary calculations in real-time using the pricing data available in the PI System. Currently this information is utilized by the Performance Reporting Group which looks at the costs of curtailments and ensures that Iberdrola is getting paid correctly during these events and the Technical Division which looks for ways to improve overall operational efficiency. As Event Frames are proving useful, Iberdrola expects to add stoppages to the AF Server. Trends in Solar Performance Monitoring This presentation will address performance monitoring trends in the rapidly growing solar power industry. As the industry matures from small rooftop applications to large utility-scale central power stations, requirements around plant monitoring and performance optimization have also grown. Content will include a state of the industry overview followed by a discussion of why the PI System is needed and how it is being used to meet the scale and velocity of project additions in North America and throughout the world. The presentation will conclude with case studies using PI System-based monitoring to perform automated fault detection of commercial and utility-scale PV power systems. In addition, the unique challenges of providing a multi-tenant application suite (multi-customer/multi-user) will be addressed and how to think about a scalable and secure architecture to meet this complex requirement. Fleet Optimization through Process Information Monitoring power plant performance in real-time is essential to stay competitive in market based bulk electric system. Maintaining equipment reliability with dwindling resources, regulatory and environmental compliance are some of the challenges electric utilities face today. DTE Energy has been addressing these challenges with effective use of technology turning data in to actionable information. Using its lsquoTechnology Frameworkrsquo as a roadmap, DTE Energy has implemented several layers of technologies with PI System data as their backbone. The amalgamation of people, processes and systems at the fleet-wide monitoring center using real-time operational data, predictive monitoring and market interface is helping DTE Energy to meet these challenges. Value of Asset-based PI System in Power Generation This presentation / demo will show the value of PI AF, PI Event Frames, PI Notifications, and PI Coresight within the context of a real world Power Generation scenario. Technology Innovation and Condition Based Monitoring The power generation industry is under pressure due to increased competition and market uncertainty. Plant staff are developing new, innovative ways to monitor power plants by leveraging technology to improve safety and efficiency. Exelon Nuclear is the leader in developing new and innovative technologies and better utilizing plant experts. One such method is their Advanced Monitoring Technology that monitors plant performance in real time with the use of the PI System that helps plant staff to make timely decisions. Real-time monitoring coupled with diagnostic tools reduces the burden of data collection for plant experts. Staff spend their valuable time in data analysis and decision making. The Exelons Advanced Monitoring program has three major elements: 1) On-Line Monitoring 2) Wireless Equipment Monitoring 3) Prognostics Health Monitoring The On-Line Monitoring program is an analytical tool to identify plant anomalies at incipient stage. The tool pulls real-time data from the PI Systems data historian and performs analysis. Appropriate staff is alerted to any anomaly identified by the tool via email. This program proved to be a paradigm shift for plant monitoring and trending. The wireless equipment monitoring has provided a new avenue to add smart sensors on plant assets. The additional sensors have helped improve plant safety. The technology has paved the way for Condition Based Monitoring. The ultimate goal of this effort is to optimize preventive maintenance program. The additional sensors will provide opportunity to utilize PI Asset Frame and PI Coresight. The PI notification will be used to warn plant staff of changing plant condition. Exelon is collaborating with OSIsoft to effectively utilize PI advanced features. The Prognostic Health program is an innovative technology to predict equipment health. This will be great tool for Knowledge Transfer and retention and troubleshooting. Analyzing Outage Impacts Using PI Event Frames and Versify NaturEner is a wind developer and operator with 399 MW of operating wind in Montana. These farms operate in relatively remote areas of the grid, and can therefore be constrained by regional transmission system outages. These outages can be caused by a variety of entities, and can have significant financial and operational impacts. Therefore, it is of interest to NaturEner to monitor the frequency, magnitude, and causes of these events for the purpose of monitoring the impact and determining if mitigation is required. NaturEner is currently utilizing the Versifyrsquos V-Performance Outage Management application in the system to log and manage turbine and wind farm outage events. These outage events are fed into PI Event Frames using Versify APIrsquos that leverage PI Enterprise OLEDB and OPC drivers. Using these event frames combined with operational data managed in PI, NaturEner builds queries and reports that easily summarize and categorize the energy lost to planned and unplanned outages. In addition, these event frames are used to evaluate operational procedures, such as the re-energization process after an outage, where data is queried and reports generated to assess plant performance. Understanding the impact of outage events on generation is essential for NaturEner in maximizing profits from our wind assets. NaturEner is a renewable energy company that has developed hydro, wind and solar utility-scale renewable energy projects in North America and Europe since 1999. NaturEner currently operates solar and wind power generation projects and has invested more than 800 million in North America since 2006. Alarm System for Structural Monitoring of Itaipu Dam Using PI System With the increasing use of technology for data analysis in complex systems, as often occurs with dam safety, it has become plausible to implement a system which performs analysis of the measuring instrument data and generates alarms concerning the structural situation of the Itaipu Binacional dam. In Itaipu, there are approximately 2,400 instruments, of which 270 are totally automatic, with readings taken every 30 minutes and positioned in key blocks of the dam. The readings from these instruments provide the data that is stored in real time in the PI Server and remains available for reading and analyses. The data stored in the PI Server is analyzed with the objective of generating alarms representing the structural situation of the Itaipu dam. For this data analysis and generation of warnings the technique applied is that of the Fault Tree Analysis (FTA), a logical and deductive process that, starting from a predefined and undesired event, seeks the possible causes of said event, creating the relationships through simple logical operators (AND, OR, etc.). The failure tree structure, due to its hierarchical characteristic, is implemented by the use of the PI AF. The relationship of the logical operators is represented in the PI AF through the Formula option in the Data Reference of the Element. The nodes that represent the instruments are linked to the corresponding Tags in the PI Server through the PI Point option. The PI Notification is employed for sending the alarms, which define the elements of the PI AF that shall represent the faults and create the Triggers and alarm criteria, in accordance with the attributes of this element of the fault. Those responsible are previously registered in the system, listed in the tab pertaining to Contacts of the PI System Explorer, and receive an email with a description of the fault that occurred and the principal information to support the taking of decisions. Use of PI System in the Electric Energy Management System of Brazil The user will explain the architecture of the new EMS Network ( REGER) in use by the Brazilian Electric System Operator (ONS) and the use of PI Systems to support real-time decisions, post-operation monitoring and analysis of problems in the generation and transmission system. The Automation of Converting SCADA EMS Displays to PI WebParts The System Operations Department of Pepco Holdings, Inc. had a homegrown web server that provided users access to near real time SCADA data and the ability to view historical data using EMS display formats. After migrating to a newer release of the EMS, corporate users no longer had access to these displays. The PI System had been used to store EMS historical data for several years however, users had to use a manual process for building ProcessBook displays and/or DATALINK to view historical and current data. Corporate users were accustomed to viewing SCADA data with the look and feel of EMS displays on the web. They were able to view historical data with defined schematics of a one line diagram and navigate throughout the website. Obviously, the majority of corporate users do not have access to the EMS. Engineers and interested individuals wanted to continue to see and use this data for troubleshooting, research, decision making, studies and planning. A centralized approach was needed to allow streamlined administrative maintenance, easy access and navigation, user validation and authentication. With this business challenge in mind, a technical solution to the problem needed to be addressed. With EMS licensing and compliance limitations, a PI System with PI WebParts, and MS Sharepoint was the obvious answer. Real-time data that was stored in the PI System needed to provide a less challenging way of being utilized without having to use OSIsoft tools to build and format this data so that it would be useful. An automated process to take EMS displays along with system specific data link definitions and translate or convert this information to a format usable by PI WebParts was the solution Real-time Event Detection of Microgrid Dynamics The University of California, San Diego (UCSD) microgrid control system includes PMU measurements at the point of common coupling to the area power system, San Diego Gas and Electric. Measurements include data on both sides of the 69kV/12kV main transformers as well as from buildings located at various points on campus including the Scripps Institution of Oceanography located the far western edge of the campus. The PI System collects real time data from the PMUs, computes real time angle differences and automatically detects real time events. This presentation outlines an event detection mechanism based on adaptive moving average and rate of change filtering as well an on-line method of automatically determining the dynamic characteristics of the microgrid. Results show that the microgrid has less than desired damping at certain critical frequencies. A control system is proposed that could dampen the oscillations using battery-based local energy storage systems on campus. PI AF amp Notifications in Distribution Operations Presenter: Khoa Vo. San Diego Gas and Electric SDGampE Electric Distribution Operations utilizes the PI System to integrate the distribution SCADA with data on wildfires, lightning strikes, and weather to provide real-time situational awareness for control room to board room. This presentation will show how the PI System--specifically PI AF, Coresigth and PI Notifications--dramatically changed the way that the utility runs distribution operations by allowing SDGampE to: Monitor all real-time and historical telemetry reads from circuits, switches, breakers, banks, etc. with PI Coresight, PI ProcessBook, smart phones Monitor status of switching operations and provide proactive remediation capabilities Send real-time notifications to assigned groups to correct any issues, such as telemetry reads, device status, communications, etc. in early state Plan, manage and monitor load curtailment in the event of crisis Play-back events and provide lsquorecreation of incidentsrsquo or lsquosequence of eventsrsquo for root-cause analysis or identifying failure of distribution assets Provide early-warning of natural events or disasters (storms, wildfires, etc.) Use advanced weather instrumentation to monitor real-time wind direction, wind speed, wind gust, temperature, and relative humidity The PI System has enabled SDGampE to significantly improve the efficiency and effectiveness of electric distribution operations monitoring and awareness and ensured customers safe, reliable energy and improved quality of life for all of the SDGampE service area. Web-based Visualizations with the PI System at PGampE Electric Distribution In 2013, PGampE invested in a Fault Location Isolation and Service Restoration (FLISR) system across the electric distribution system. To allow multiple operation and engineering groups to monitor and troubleshoot the FLISR system, PGampE leveraged the PI System to capture SCADA data in real-time. On the front-end, PGampE built a web-based HTML5 interface that allows users to monitor real-time single line diagrams/device trends in the PI System through their browsers and email specific links to colleagues. On the backend, the PI AF database integrates with PGampErsquos Distribution Management System (DMS), allowing any connectivity and asset changes in DMS to update circuit configurations in the PI System, reducing long-term maintenance. This presentation will demonstrate PGampErsquos PI web portal, including the HTML5 user interface and integration with DMS. DobleARMS and PI System Bring Standards-Based HV Asset Management to TVA The Tennessee Valley Authority, plans, builds, operates, and maintains, part of the electric power system in the United States. This network comprises the keystone of all other critical infrastructures in the United States. The equipment and subsystems that comprise the power system are aging at an alarming rate. The 500,000V power system, which makes up the backbone of bulk transmission system, will turn 50 next year and extend the problem of asset revitalization to these capital intensive assets. This comes at a period of shifting load patterns and changes in generation strategies that are calling upon these aging assets to perform to their limits. Additionally, increases in costs to the utility as well as a host of other drivers are making the competition for capital resources fierce. To optimize both its CAPEX and OPEX resources, as well as better understand and mitigate risks associated with management of its transmission assets, the TVA is moving towards a near real-time asset health process. To help enable this vision, TVA is partnering with Doble Engineering Co. to pilot their dobleARMS solution. dobleARMS, through its use of OSIsoft technology to include the PI System and AF-SDK, provides a method for standards based integration that leverages information from disparate enterprise datasets, online monitoring, and protective relaying that eases the burden of integration while providing actionable near real-time information about its assets. The goal is for this information to be used across the enterprise, from allowing the system operator additional insight into the health of the transformer to helping the planner to optimize OPEX and CAPEX work and up to the executive to better manage asset risk through replacement strategy. Welcome, Logistics, and Agenda Review The session opening will establish context and prepare attendees for the day. After a brief welcome, the theme of quotDecision Ready in Real-time: Enabling the Shale Revolution with the Power of Data and Informationquot will be discussed. The agenda will be reviewed with the associated logistics, concluding with an introduction to the session keynote address Proactive Critical Rotating Equipment Monitoring for Upstream Safety and Production Operations Talisman Sinopec Energy UK has used the PI System since 2001 when it was first installed for surveillance of a single subsurface well. Over the last 13 years, their PI system has evolved to become a strategic element of Talisman Sinopecrsquos technology landscape as an integration and applications infrastructure, validated with the signing of an Enterprise Agreement (EA) by Talisman Energy in 2012. There have been many PI System-based applications and solutions added over the years in the areas of process and well surveillance and single source data to hydrocarbon, chemical, and corrosion systems. However, one recent application based on the PI System has delivered significant business value around proactive monitoring of critical safety and production rotating equipment assets. This presentation will overview the history, implementation, and benefits of Talisman Sinopecrsquos Rotating Equipment Excellence Programme (REEP). It is focused on improving reliability and integrity, and reducing production losses from critical rotating equipment failures. Currently, REEP monitors 100 pieces of critical rotating equipment. The presentation will focus on the role the PI System plays, including use of PI-AF, PI-ACE, PI-PE, and PI-Notification these will be illustrated by screen shots and data flow diagrams. Realizing Value with PI Coresight in Heat Recovery This presentation will describe how SunCoke Energy has been able to use the flexibility gained with an EA to provide access to PI Coresight for all their users. It will describe the SunCoke PI System and discuss the EA signed in 2012, and then get into how Middletown Operations utilizes PI Coresight to bring value to the business. The operations section will cover how different PI Coresight displays were created to review oven push cycles and how steam and power generation is affected, as well as how the system is used to track and order chemicals for the plant. PI Coresight is utilized in operational troubleshooting of issues, training of new operators and enabling other plants to compare real-time data. PI System for Reliable Environmental amp Sustainability Management Corporate sustainability strategies are implemented and progress measured through sets of key performance indices (KPI) such as emissions of greenhouse gas (GHG) and other pollutants that are of interest to stakeholders. With the financial risks caused by GHG emissions cap and trade programs, companies must closely monitor the process data essential to accurately quantify emissions. Reliable real-time data from the PI system can help companies to minimize/mitigate business risk associated with measuring and reporting environmental performance. In addition, many environmental regulations set short-term (e. g. hourly) limits for emission source quantification that can be effectively tracked via process data available in the PI system. Most plants monitor and track emissions indirectly with process data parameters and/or extract process data to calculation tools, such as Excel spreadsheets, to determine release quantities and demonstrate compliance. If there are quality issues in the original PI process data due to instrument malfunctions, process shutdown, etc. engineers must manually correct/reconcile the data for compliance demonstration. The process may require significant effort and can delay generation of necessary reports. In order to provide reliable/actionable data to enable plant environmental teams to properly and quickly respond to any excursion or deviation of environmental limits, the source data must be validated and reconciled in real-time. The ldquostatusrdquo of the critical PI tags applied for environmental monitoring and tracking often can be validated based on other process operation indicators and the results are stored as digital state status tags. After the status is established, a filtered or reconciled PI tag can be generated using the good raw data or a reconciled value based on process knowledge. This has the effect of eliminating or minimizing variable discontinuities and proffers the most accurate available information for environmental monitoring and decision making. With reconciled PI data, subsequent environmental calculations configured in PI performance equations can be executed to provide real-time environmental reporting data. The resulting environmental data are most reliable for the development of meaningful sustainability strategies. The readily accessible data also allow companies to actively and immediately compare against regulatory limitations and quickly take actions to mitigate problems. This real-time data validation and reconciliation process has been successfully implemented at a large gas processing plant in Qatar, which requires various reports, which involve continuous emissions monitoring systems and flare events. The environmental team is able to generate reliable environmental emission reports with 100 reconciled PI data. This data treatment process can be applied by all companies using the PI System to general reliable data for all critical business and environmental measurements. Time and Depth Based Analytics and Visualization in the PI System In upstream OampG the performance of depth-based analytics and visualization is a critical function for subsurface activities like drilling and well performance optimization. While some depth-based data sets require WITSM-based applications and solutions to perform full analytics and visualization, there are many situations where the PI System coupled with Microsoft BI tools can provide insight into subsurface data. This short presentation will discuss techniques to transform time-depth-measurement data sets to depth-time-measurement data sets that can be used for analytics and visualization. Examples will be discussed to illustrate key concepts and techniques. Integrating Predictive Models and Microsoft BI - A New Age in PvA Analytics While the ability to integrate future data from planning models as tables in PI-AF and do PvA analytics and visualization, the functionality and capability has been problematic. With the forthcoming release of future data storage in the PI Data Archive, coupled with advances in the PI System data access capabilities and Microsoft BI tools, the ability to perform model integration and plan vs. actual (PvA) analytics and visualization is improved significantly. This short presentation will discuss ideas and concepts of advanced PvA analytics, visualization, and BI using future data, PI-PSA, and Microsoft BI tools such as Power View and Power Pivot. Fundamental to doing this is using the underlying PI-AF to help organize, contextualize, and abstract the future data from an external model (Plan) and actual data. Update on Development of Key PI System Interfaces for Oil and Gas Effort continues on development of two critical interfaces used in the upstream Oil amp Gas industry: PI Interfaces for CygNet and for Wonderware Historian (previously known as Wonderware InSQL). Also, thoughts around collecting data from the WITSML will be discussed and augmented by Industrial Evolution, who will share their experience with WITSML data. This brief session and associated discussions will provide an update on high level functionality, development efforts, and status of each. The goal is to provide awareness and transparency for those interested and to solicit input about the interface functionality to support decision making. Using Data and Information to Help Solve the Sustainability Equation Industry and government forecast project global energy demand to rise by almost 40 by 2030. This unprecedented opportunity for the OampG industry is matched by heightened scrutiny and growing demands for transparency from government, investors and consumers. In turn, more OampG industry participants are collaborating closely with their respective suppliers, partners and contractors to address these multiple evolving challenges. Many companies now view their sustainability strategy as an engine for new ideas to bring to this conversation to deliver on goals to improve productivity, grow shareholder value, reduce business risk and control costs. This panel will discuss the role data and information play in the sustainability equation as it relates to topics including pipeline safety and integrity, water use and impacts from fracking and emissions management. The panel will be moderated by Mr. Andrew Fanara, OSIsoftrsquos Sustainability Market Principal who will be joined by thought leaders sharing their expertise in a facilitated panel discussion and QampA with the audience. Attendees will gain valuable insight to better understand how to leverage their PI System to support their companys sustainability initiatives. Report of Findings: Collaboration with Industry Partner OSIsoft in Development of Energy Management Technology Learning Laboratory for Academic RD Purposes Institute for Energy and Environmental Sustainability (IEES) at Palm Beach State College will provide a review of 3-year findings with specific attention directed to invention of an Energy Management Technology Living Learning Lab (EMT-L3) developed in close collaboration with industry partner OSIsoft. This review will consist of examination of the instructional design plan, scope of work required to accomplish goals, examples of activities, statement of best practices and lessons learned. In sum, the education training of a highly-reliable and proficient Smart Grid workforce is strongly dependent upon identifying the occupational tasks to be accomplished and the knowledge, skills, and abilities needed to perform those tasks. With support from OSIsoft the EMT-L3 allowed professors and students to work with industry as co-constructive partners to learn precisely what is required of the STEAM professional in the real-world setting. It is estimated that by year 2030 that 13 Trillion dollars will be invested in global energy infrastructure and 1.5 Trillion in the United States. The question is whether these monies will be spent on replacing existing facilities or a modern smart grid. The smart gird model is generally envisioned as a complex digitally-enhanced network of systems involving the convergence of three major industry clusters: Electric Power Utilities, Telecommunications and Information Technology. Its success dependent upon the adoption of interoperability standards to create a national end-to-end electric power delivery system that is fully-automated, reliable, flexible, self-healing and secure. Recognizing this challenge, the Institute for Energy and Environmental Sustainability (IEES) at Palm Beach State College with support and funding from U. S. Department of Energy and IEESs industry partner NextEra Energy/Florida Power Light has developed and tested curriculum instructional models for Smart Grid workforce education training. One of the primary achievements of the initiative was the development of Living Learning Labs to provide students with performance-based experiences to maintain a smart electricity delivery system, with due diligence given to issues important to energy generation, power transmission distribution, integration of renewable energy, energy storage and microgrids. Enabling Connected Vehicles Connection to a Cloud Infrastructure Both government and the trucking industry (specifically owner operators) have an acute need for real time data. Provision of real time date will enhance mobility, facilitate electronic payment, improve transportation asset condition monitoring, reduce resources required for system maintenance and increase the availability of information for performance measurement. The government in its recognition of the value of the trucking industry to the economy has undertaken two broad approaches in its vision of the connected vehicle infrastructure: Vehicle to Vehicle (V2V) and Vehicle to Infrastructure (V2I). For increased mobility driving factors are: (a) more efficient use of capacity (e. g. adaptive flow control), (b) more accurate and timely traveler information (c) reducing impacts of incidents on traffic flow (d) increasing reliability of freight movements and transit schedules. Improving speed and accuracy of electronic payments within the transportation infrastructure will contribute to enhanced mobility and reduction in cost of operations. To achieve meaningful results, owner operators, the government, suppliers and customers within the transportation sector must have (a) access to publicly gathered or generated data through an effective application to manage paperwork and other administrative costs connected to managing Invoicing, Repairs amp Maintenance, IFTA reporting, Payments, Dispatch, Navigation, Routing, Paper logbooks, Drivers, and (b) devices to be installed in commercial and publicly maintained vehicle fleets. Connected vehicle system capabilities will provide opportunities to improve the density, accuracy, completeness and timeliness of data collection for system management applications and drive analysis of performance measures and planning. The key components to all of this are (a) real time data capture and management (b), creation and expansion of access to high-quality, real time, multi-modal data from connected vehicles (c), providing real time monitoring and management tools based on V2I connectivity. The U. S. DOT under the Federal Highway Administration (FHWA) and the Federal Motor Carrier Safety Administration (FMCSA) is developing the ldquoSmart Roadsiderdquo initiative as part of the V2I program with desired capabilities of (a) Real-Time traffic, weather, special event, truck parking information shared with drivers (b) Vehicle sensor data collected at the roadside shared with private vehicle maintenance providers (c) unique vehicle identifier shared with enforcement agencies (d) routing clearance information shared with drivers (e) Origin/destination information shared with stakeholders to determine routing information (f) real-time driver/carrier/truck information shared with enforcement agencies. This white paper will look into a case study that demonstrates how PI System will be used in the government V2I program to address real time data needs in terms of analysis, historization, visualization and delivery to the primary constituents, such as owner operators, suppliers, customers and the government through the various regulatory bodies that oversee the trucking industry. The case study will look at the value of OSIsofts PI System operating in a cloud setup on the Microsoft Azure platform as part of the V2I infrastructure. It will showcase PI Systemrsquos new capabilities, advanced analytics, visualization to owner operators in improving time management for drivers, routing efficiencies, cost management, revenue optimization and logging accuracy.