Research and Application of key Technologies of big data Management platform in Intelligent Power Plant

The progress of science and technology has made the conventional structure of power plant digital systems insufficient for intelligent production and management. Therefore, it is essential to establish an intelligent power plant management platform based on big data. This paper proposes an intelligent power plant management platform based on big data architecture that addresses the issue of outdated technology. In our study of the big data algorithm IGASA-FCM, we implemented adaptive jump probability instead of random probability to adjust the population. This adjustment benefits the algorithm's operation by producing optimal results and significantly improving the accuracy of historical working condition data division.