From the traditional fossil energy to the development and utilization of nuclear energy and new energy sources,iEM system intelligent platform based on industry big data technology innovation can help energy companies to achieve more safe and efficient production operation, more intelligent equipment management and maintenance. Through industry big data technology of iEM System intelligent platform, it can provide continuous health status online assessment of equipment for energy companies, and provide early warning of potential failures, and provide preventive operation guidance for the efficient and stable operation of equipment.

Equipment Online Health Assessment

iEM System intelligent platform mines equipment mass historical data and creates models to achieve real-time quantitative assessment of online health status of equipment. iEM System intelligent platform for using the industrial data modeling technology, changes the binding mode of upper and lower limit alarm view device status through a single parameter, creatively uses a healthy similarity curve that integrates equipment association parameters and the rules of historical operation and real-time evaluates the changes of equipment between the current state and history state of the security and optimization.

Malfunction Early Warning & Diagnosis

iEM System intelligent platform equipment online health technology assessment, early warning and diagnosis equipment for a potential failure, early detection of potential accidents so as to prevent in the bud. From the relatively passive post fault management mode, it is changed into a more proactive fault prediction and prevention model in advance. iEM System intelligent platform, which uses the industrial big data modeling technology, can provide the accurate early warning of the gradual change of potential fault from several days to more than a few weeks.


Equipment Performance Prediction & Optimization

The equipment performance prediction optimization model established through iEM System intelligent platform, optimize the performance status of the equipment. Through the industrial data modeling techniques related to the performance of the equipment measuring point online prediction, and under the premise of ensuring safety of equipment, realize the maximization of the use of equipment performance.


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