COMPUTER SYSTEM AND METHOD FOR MONITORING THE TECHNICAL STATE OF INDUSTRIAL PROCESS SYSTEMS

摘要

Computer system (100), computer-implemented method and computer program product are provided for monitoring the technical status of an industrial process system (300) being under control of an advanced process controller (APC). The industrial process system (300) has an operation (330) for processing flow materials. The advanced process controller (APC) is responsive to one or more sensor signals (320). The computer system (100) includes an interface module (110) configured to receive technical status data (321) describing the current technical state of the industrial process system (300) with regards to a respective processing component or the processed material wherein the technical status data (321) corresponds to or is derived from the one or more sensor signals (320). Further, the interface outputs an anomaly alert (AA) in case of an anomaly detection for the industrial process system to enable deactivating of the advanced process controller (APC). The computer system further includes an anomaly detection module (120) to apply one or more Machine Learning Models (MLMn) to the received technical status data (321) to analyze the technical status data for detecting one or more indicators of an abnormal technical status prevailing in the industrial process system. The one or more Machine Learning Models (MLMn) are trained on historic raw or pre-processed sensor data. The anomaly detection module generates the anomaly alert (AA) based on the one or more indicators.