SYSTEM FOR RULE MANAGEMENT, PREDICTIVE MAINTENANCE AND QUALITY ASSURANCE OF A PROCESS AND MACHINE USING RECONFIGURABLE SENSOR NETWORKS AND BIG DATA MACHINE LEARNING

摘要

A system for rule management, predictive maintenance and quality assurance of a process using automatic rule formation comprising a plurality of sensors capable of being attached to at least one machine for measuring at least one information about the process and machine operation. The system comprises a server connected to the sensors over a wireless communication network and running a reconfigurable rule management program for identifying and processing the particular process and machine information related to at least one process received from the plurality of sensors. A controller in communication with the server capable of controlling the process based on a rule set by the rule engine. The rule engine automatically detects the normal process data, classifies the received data based on the dynamic rule formed by the rule engine and finds anomalies in the process or machine operation for predictive maintenance and process quality assurance.