Phase modifier fault monitoring method and system based on infrared image recognition

Abstract

The invention discloses a phase modifier fault monitoring method based on infrared image recognition. The phase modifier fault monitoring method comprises the steps of S1, acquiring an infrared imageof a phase modifier in real time; s2, judging whether an abnormal heating part exists in the acquired infrared image or not, if so, measuring the temperature of the abnormal heating part by adopting an infrared thermal thermometer, determining the environment temperature, generating a corresponding infrared image, and entering the step S3, otherwise, entering the step S1; s3, acquiring real-time operation data of electrical equipment corresponding to the abnormal heating part; and S4, determining a fault point and a corresponding fault degree in combination with the infrared image and the real-time operation data, and generating a fault alarm signal. According to the invention, the infrared image of the phase modifier during operation is acquired, and the input system data, the monitoringdata and the past case diagnosis data are calculated and pre-judged by using the case diagnosis database and the correlation analysis method of image recognition, so that the real-time state information of the phase modifier is acquired, and pre-judgment and alarm are made for possible faults.

Description

technical field [0001] The invention relates to the technical field of condenser fault monitoring, in particular to a condenser fault monitoring method and system based on infrared image recognition. Background technique [0002] As a kind of reactive power compensation equipment, the condenser has the advantages of fast tracking speed, wide compensation range, low failure rate, etc. It can effectively support the grid voltage and improve the stability of the grid. Good application prospects. The core functional part of the condenser system is its body mechanical structure, so it is particularly important to ensure the normal operation of the condenser body. The traditional regular maintenance method will inevitably affect the working efficiency of the condenser, and the problem cannot be found in time. The online status monitoring system can evaluate the real-time status of electrical equipment, implement corresponding measures before equipment failure, eliminate potentia...

AI Technical Summary

Problems solved by technology

[0003] At present, the fault detection of condensers mostly uses physical sensing detection methods such as noise and vibration for detection, which has a large amount of data and calculation, and is prone to misjudgment and missed judgment.

In addition, for some specific areas, it is difficult to install sensing equipment, making it often a blind spot for detection

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