Computer vision can obtain key feature information of objects through image acquisition,analysis and processing,which has been widely used in industrial monitoring and fault diagnosis.Through computer vision technology,real-time monitoring and accurate diagnosis of high-voltage distribution switch status can be realized,and potential fault problems can be discovered and prevented in time,thus improving the reliability and safety of the power system.This paper first introduces the theoretical basis and key technologies of computer vision application in state monitoring and diagnosis of high voltage distribution switches,including image processing,feature extraction and pattern recognition.The design requirements of self-diagnosis system of high voltage distribution switch are described in detail,including hardware design and software architecture construction.Through a series of technical tests,the effectiveness of the proposed scheme is verified,and the application potential and practical benefits of computer vision technology in the monitoring and diagnosis of high-voltage distribution switches in power systems are demonstrated.
Computer visionHigh-voltage distribution switchesCondition monitoring and diagnosis
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