Research and Implementation of Anomaly Detection and Fault Diagnosis System for Chemical Control in Nuclear Power Plants

At present, nuclear power plants mainly rely on chemical engineers for the anomaly detection and troubleshooting of chemical control, which is limited by the personal experience and skill level of chemical engineers, resulting in the problems of poor timeliness and inaccuracy in anomaly detection and troubleshooting. To address this issue, a set of anomaly detection and fault diagnosis system for chemical control in nuclear power plant is designed and implemented. During the research process, we focused on exploring key technologies such as anomaly detection rule databse, fault diagnosis database, and anomaly detection and fault diagnosis. Through the practical application in a nuclear power plant, it is proved that the system can effectively and automatically detect abnormalities in chemical monitoring data and diagnose abnormal faults, thereby improving the chemical control level of nuclear power plants and providing guarantees for the safe operation of nuclear power plants.