In order to solve the problem of too low inspection rate for the secondary equipment in the substation,this paper proposes an intelligent inspection method for the unattended substation secondary equipment based on image recognition.In this study,the characteristic points of the secondary equipment in the unattended substation are extracted from the image recognition technology,and on this basis,the regional neural network is used to realize the intelligent fault inspection of the secondary equipment.The comparative experimental results show that the intelligent inspection method proposed in this study can significantly improve the inspection rate and provide convenient conditions for the inspection work of unattended substation.
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