EMBEDDED ANALYTICS IN INDUSTRIAL BIG DATA APPLICATIONS

摘要

The chemical process industry is challenged by increasing technical complexity involving large integrated facilities and rapidly evolving process automation technologies. Experienced workers are needed to make risk decisions yet much of the experienced personnel are nearing retirement and new plants are often located in areas which lack an experienced workforce. Process analytics is a powerful tool to gain better insight into these complex operations, to improve performance and reliability, and enhance operator effectiveness. However, practical implementation of on-line analytics can be problematic because of real-time data integration, operations work flows, and difficulty in implementation and maintenance of traditionally layered solutions.