Through Hypersphere modeling technology, iEM System automatically identifies the dynamic correlation relationship in mass data of PI System, and quantifies the online health status of industrial equipment and processes. The perceived results are presented by intuitive Health Performance Index (HPI). Based on iEM System intelligent platform and PI System, the asset health management application of industry big data based on time-series data is realized.
The iEM System seamlessly integrates with the latest architecture of PI System, making full use of various functions of PI System, return the results back to PI System, and integrate with factory’s other systems to facilitate users' employment. When the health status of industrial equipment or process changes, the iEM system will automatically give an early warning. In addition to the display of HPI, iEM System will automatically correlate parameters causing health changes, and predict the health value of the related tags online.
iEM System’s Hypersphere modeling patent, it is an Advanced Pattern Recognition (APR) algorithm technology specially applied to the time-series data, apply to massive time-series data correlation analysis of almost all the industrial fields. Through the establishment of health intellisense model of industrial system, and by using online state perception, correlation analysis, prediction, and other functions as the foundation, this technology can build industry big data intelligent application system.
All that is required to implement IEM System is a PI System on top of plant automation system (PAS). IEM System integrates with the PI System as a business application and reads from the data infrastructure level, so no direct connection with the PAS is required. IEM System can connect multiple PI Systems, through Hypersphere modeling technology, automatically identifies the dynamic correlation relationship in mass data of PI System, and quantifies the online health status of industrial equipment and processes.