System and method for realizing electric energy meter abnormity diagnosis by applying quantum particle swarm algorithm

Abstract

The invention discloses a system and a method for realizing electric energy meter abnormity diagnosis by applying a quantum particle swarm algorithm, and relates to the technical field of electric energy metering. An architecture system of the Internet of Things is constructed, remote monitoring of abnormal data of an electric energy meter is realized, change and extension of data information of the electric energy meter are realized by using a wavelet change method, noise interference can be suppressed by using wavelet transform, the feature extraction precision is improved, the accuracy is high, and the performance is more stable. An improved quantum particle swarm algorithm is used, particle swarms can be effectively screened; the convergence speed of the particle swarm is accelerated;according to the method, a BP neural network algorithm model is utilized to prevent simultaneous falling into local extremum, a good effect is shown in the aspects of convergence rate and global optimum searching, rapid diagnosis of abnormal data can be realized by utilizing the BP neural network algorithm model, a large amount of electric energy meter data information is rapidly calculated withina few seconds, and data analysis and judgment are realized.

Description

technical field [0001] The invention relates to the technical field of electric energy measurement and detection, and more particularly relates to a system and method for realizing abnormal diagnosis of electric energy meters by applying quantum particle swarm algorithm. Background technique [0002] The energy meter is an important measuring instrument for power supply enterprises and electricity customers to settle electricity consumption. The accuracy of energy meter measurement is directly related to the economic benefits of power supply enterprises and electricity customers. When the electric energy meter is verified, the electric energy meter verification device or the electric energy meter verification assembly line is usually used. The electric energy meter verification line adopts a fully automatic assembly line verification method to realize automatic meter fetching, automatic transmission, and automatic printing from the outlet of the electric energy meter library....

AI Technical Summary

Problems solved by technology

In conventional technology, when a variety of detection data is output, it is difficult for users to find the best target information from a variety of data information, and it is difficult to find the best data information between similar data and non-similar data. Technology is often searched by computer. Conventional retrieval technology is not only inefficient, but also error-prone, and it is difficult to realize data query and application.

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