Intelligent Recognition System of Substation Hard Platen State Based on Machine Learning

According to the existing problems of substation hard platen state recognition, this paper studies the intelligent recognition system based on machine learning without modifying the secondary device. A manual patrol inspection car is designed to facilitate image acquisition. Using the hard platen state recognition algorithm based on machine learning, a hard platen intelligent patrolling application is developed. The current state of the hard platens can be quickly obtained by simply input the collected hard platen image. In addition, the patrol database is set up, and the hard platen table is kept, and the patrol and maintenance tasks can be managed. The experiment of this system was carried out at a substation in Guizhou. The results show that the system can recognize the state of the hard platens quickly and accurately, and truly realize the intelligence of the hard platen inspection work.