Metering chip anomaly detection and diagnosis system based on Internet of Things

• Main Authors: LIU QING, XIANG DE, LI QINGXIAN, WANG JINWEI, ZUO CONGRUI, BAI WENQI, LIU LIANGJIANG, ZHU XIANYU
• Format: Patent
• Language: Chinese; English
• Published: 21.09.2021
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; ELECTRIC COMMUNICATION TECHNIQUE; ELECTRIC DIGITAL DATA PROCESSING; ELECTRICITY; INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS; MEASURING; MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES; PHYSICS; TESTING; TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION

The invention provides a metering chip anomaly detection and diagnosis system based on the Internet of Things. The anomaly detection and diagnosis system comprises a communication module, an acquisition module, an operation processing module and a micro-control module. The communication module is used for connecting the electric equipment to the Internet of Things; the acquisition module is used for acquiring the state change condition of the power utilization terminal; the micro-control module is used for controlling the working process and external communication of the metering chip; and the operation module is used for performing operation on the acquired data and providing a result to the micro-control module for performing control input. According to the system, the multi-device interconnection characteristic of the Internet of Things is utilized, an intelligent dynamic detection technical scheme is formed in a big data and machine learning mode, and the adaptability and efficiency of the detection and d