Power plant intelligent error prevention technology based on deep learning

With the rapid development of power system, the safe operation of power plant becomes particularly important. As an advanced machine learning algorithm, deep learning has strong feature extraction and pattern recognition capabilities. This paper first introduces the application background of deep learning in power plant intelligent error prevention technology, the basic principle and advantages of deep learning algorithm. On this basis, a model design scheme of power plant intelligent error prevention system based on deep learning is proposed, which can monitor the running state of power plant equipment in real time. Experimental results show that the system can accurately identify and warn potential misoperation risks, and effectively improve the safety and reliability of power plant operation.