Anomaly Detection and Diagnosis System for Metering chip Based on Internet of Things

• Main Authors: XIONG Jie, XIANG De, ZUO Congrui, ZHU Xianyu, WANG Jinwei, LIN Wenhui, WANG Ningsha, LIU Qing, LIU Liangjiang, LI Qingxian
• Format: Patent
• Language: English
• Published: 27.01.2023
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS; MEASURING; MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES; PHYSICS; TESTING

The disclosure provides a anomaly detection and diagnosis system for metering chip based on the Internet of Things, which comprises: a communication module, an acquisition module, an operation processing module and a micro-control module; the communication module is used for accessing the electric equipment into the Internet of Things network; the acquisition module is used for acquiring the state change of the electrical terminal; the micro-control module is used for controlling the working flow and external communication of the metering chip; and the operation module is used for operating the collected data and providing the result to the micro-control module for control input. According to the disclosure, the multi-device interconnection characteristic of the Internet of Things is utilized, and the intelligent dynamic detection technical solution is formed by using the way of big data and machine learning, so that the adaptability and efficiency of the detection and diagnosis technology of the metering chip are greatly improved.