Streaming Data and Event Infrastructure - OSIsoft

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Streaming Data and Event Infrastructure International – develop and operate critical energy infrastructure and provide gas and electricity services in North America and South America. Sempra Energy required real-time visibility to data across the whole value chain. They wanted to increase reliability and situational awareness of all operations across the utility. The implementation of the OSIsoft PI System allowed for a single infrastructure to address these requirements for generation, transmission, distribution, LNG storage, renewable and pipelines. Each business area developed applications specific to the business including monitoring, situational awareness, alarms and notifications. This has resulted in benefits of increased reliability, data for planning and forecasting, environmental reporting, asset maintenance and overall grid operations. Johnson & Johnson Johnson & Johnson is an American multinational pharmaceutical, medical device and consumer packaged goods manufacturer founded in 1886. The OSIsoft PI System became an integral part in the integrated manufacturing system that Johnson & Johnson was implementing. Their objective was to provide a manufacturing automation system that would eliminated the need for manual data collection. They wanted to eliminate transcription errors and time consuming cross checking of data. There was need to consolidate the building alarm reporting and management with process, laboratory, warehouse and utility systems. This would minimize the data gather time as well as the time required to perform investigations. Consolidation of data visualization was required for improved process monitoring and historical batch analysis. This was an enabling step for integrated manufacturing design. The OSIsoft PI System provided interfaces to batch and manufacturing execution systems. The PI System allowed for the compete modeling of the facilities and batch process maintaining the data in operational context. The resulting system delivers improved efficiency of production and administration, improved yield and reduced cost. The overall system gives better situational awareness of the manufacturing process, provides the data for continuous improvement while helping to control costs of manufacturing and providing the data and reporting requirements for the FDA. Bristol-Myers Squibb Bristol-Myers Squibb is global Bio-pharma company whose mission is to discover develop and deliver innovative medicines that help patients prevail against serious diseases. There need to improve operations included making the operators jobs easier to allow them to focus on the batch process with seamless connectivity behind the scenes to the appropriate Last Saved May 4, 2012 14 of 20
Streaming Data and Event Infrastructure systems. They needed to monitor all manufacturing activities and perform batch reporting by exception. The OSIsoft PI System became the backbone of an integrated solution that redefines the manufacturing operation philosophy. The resulting systems reduced overall cycle time, provided better coordinated information flow between the back and analytical activities. Direct communication between different automation systems was facilitated. There was full capture of the batch recipe for documentation. The system has resulted in more reliable and repeatable batch execution for FDA compliance. Chevron Corporation Chevron is one of the world’s largest integrated energy companies. It is headquarter in San Ramon, California and conducts business in more than 100 countries. Chevron is engaged in every aspect of the oil and natural gas industry, including exploration and production, manufacturing, marketing and transportation, chemicals manufacturing and sales, geothermal and power generation. Their business requires robust access to real-time process data across all of these business units that can be aggregated and shared in a centralized repository. This is a large volume of streaming data points and events that must be captured in real-time. The data required a metadata layer to put the information into context of geographical location and business units as well as assets and operations. The access to this information has resulted in reduced turnaround time for projects, rationalized standards across facilities and business units and has enabled centralization of development and deployment across the corporation. 6 Ingredients of an Streaming Data and Event Infrastructure At a functional level, a data delivery infrastructure should connect end-users that can make operational decisions with access to real-time key performance indicator (KPI) data for their areas of responsibility. It should also provide executives with dashboard oversight of overall performance. Both line employees and executives should have the ability to drill down into detailed views of individual devices and equipment that they control. Key capabilities for a data infrastructure include: 1) data collection, 2) data management, 3) analytical support, 4) data delivery, and 5) support for intuitive visualizations. Each of these capabilities will now be discussed in more detail. 1. Data collection interfaces make it possible to gather data from sensors and industrial process control devices in real time. Sensors can include purpose-built meters that Last Saved May 4, 2012 15 of 20
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