The System Collects Equipment Images Through the Intelligent Inspection and Monitoring Platform

The application of convolutional neural networks in substation detection is discussed. The system collects equipment images through the monitoring platform, image recognition server, video server, monitoring terminal and other parts. After image compression, the designed convolutional neural network model is used for feature extraction and classification, and finally realizes real-time monitoring and intelligent identification of equipment status. Experimental results show that the system has high recognition accuracy and good real-time performance, saving time and manpower compared with traditional operations. This research provides an efficient and intelligent solution for industrial equipment condition monitoring and has important practical application value and application prospects.