Miniature circuit breaker monitoring method and device, computer equipment and storage medium

Abstract

The invention relates to a miniature circuit breaker monitoring method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring electrical parameter data when a miniature circuit breaker switch acts through an intelligent electric energy meter; determining switching time of the miniature circuit breaker by filtering the electrical parameter data; acquiring the signal complexity of the electrical parameter data in the switching time; determining the aging state of the miniature circuit breaker according to the switching time and the signal complexity; and performing fault early warning on the miniature circuit breaker according to the aging state. By adopting the method, the monitoring difficulty and the monitoring cost of the aging fault of the miniature circuit breaker can be reduced.

Description

technical field [0001] The present application relates to the field of electric power technology, in particular to a miniature circuit breaker monitoring method, device, computer equipment and storage medium. Background technique [0002] Miniature circuit breakers are the first barrier for household electricity to enter the home. Its safety is very important for users to use electricity reliably. Since most users lack experience in judging the faults of miniature circuit breakers, miniature circuit breakers are usually damaged after they are damaged. It will be discovered by users, which is likely to cause unnecessary trouble. In view of this, the aging state of miniature circuit breakers can be found in advance, which can remind users to replace miniature circuit breakers in time and improve user experience. [0003] At present, the fault diagnosis of miniature circuit breakers is mainly realized by installing vibration sensors or temperature sensors on miniature circuit b...

AI Technical Summary

Problems solved by technology

[0003]At present, the fault diagnosis of miniature circuit breakers is mainly through the installation of vibration sensors or temperature sensors on the miniature circuit breakers, combined with neural network and other processing methods for fault identification. Realized, among them, the vibration sensor collects the vibration signal of the miniature circuit breaker when opening and closing, and analyzes and extracts the characteristics of the vibration signal to judge whether the miniature circuit breaker is faulty. This method has relatively high accuracy, but the calculation The device is complicated, the algorithm deployment is time-consuming, and additional vibration sensors are required, which is difficult and costly to implement in household electricity scenarios; the temperature sensor judges whether it is faulty by collecting the temperature information of the miniature circuit breaker switch. This method is simple and effective, but there is also the problem of needing to install sensors, and the cost is high, which is not conducive to the realization of household electricity scenarios

[0004]Therefore, the current monitoring technology of miniature circuit breakers needs to install additional sensors, which is difficult and costly to implement in household electricity scenarios

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