Fault diagnosis method and system for intelligent electric meter, and electronic device

Abstract

The invention discloses a fault diagnosis method and system for an intelligent electric meter, and an electronic device. The method comprises the following steps: S1, acquiring data; S2, extracting characteristic factors, establishing a fault label, and forming a fault portrait; S3, building a fault sensing model, and outputting a fault sensing result; and S4, comparing with a fault model libraryto complete fault cause positioning, suggestion processing or help guidance. The system comprises an intelligent diagnosis support center, an acquisition processing module, a fault sensing module, a fault diagnosis module and an operation and maintenance learning module. Based on operation and maintenance, environment, fault analysis, verification and detection, acquisition and other information,big data analysis and artificial intelligence technologies are utilized to carry out acquisition fault intelligent diagnosis model research, and the operation process guidance problems of accurate research and judgment of acquisition faults, qualitative analysis of equipment faults and field fault processing are solved.

Description

technical field [0001] The invention relates to the field of smart meters, in particular to a fault diagnosis method, system and electronic device for a smart meter. Background technique [0002] As the smart terminal of the State Grid, the smart energy meter is one of the important equipment in the advanced metering system of the State Grid. Improve, thereby ensuring the high-quality completion of power supply services. Find out the weak links and defects of the smart energy meter, grasp its main failure mechanism and vulnerable key components, predict the potential failure of the energy meter in time, and then propose targeted methods. Not only can the probability of electric meter failure be reduced, but also the cost of operation and maintenance of electric meter equipment can be reduced. [0003] At present, the large number of operating equipment on site, the complex operating environment, and various types of equipment failures have led to increasing pressure on the...

AI Technical Summary

Problems solved by technology

[0003]Currently, there are many operating equipment on site, complex operating environment, and various types of equipment failures, resulting in increasing pressure on collection and troubleshooting. The requirements for the stability and reliability of power equipment are constantly increasing, and the requirements for data collection frequency and data quality are further strengthened. The traditional fault handling mode will be difficult to meet the requirements of lean management of measurement. It is necessary to innovate the current mode to ensure the safety and stability of on-site equipment. , reliable operation

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