Application of Artificial Intelligence Technology in the Event Analysis of Substation Monitoring Information

In order to solve the problems of centralized monitoring of multi-site and multi-equipment in substations, and the low efficiency of information processing, this paper puts forward the application method of artificial intelligence technology in event analysis of substation monitoring information. Firstly, the paper analyzes the current situation, trends, and hot spots of substation intelligence, and then introduces the design and application of artificial intelligence monitoring information event architecture. An improved BP neural network algorithm is designed, which combines the improved BP neural network algorithm with L-M fast learning method to realize the event processing of substation equipment information and uses image processing technology to scan the event monitoring results with artificial intelligence vision. By taking real-time photos of the monitoring center, key information is extracted, and different event results are output and displayed, which helps the staff to obtain information quickly.