Intelligent Operation and Maintenance Model and Optimization Algorithm for Electrical Equipment in Thermal Power Plants Integrated with Augmented Reality Technology

The purpose of this article is to study the intelligent operation and maintenance model and optimization algorithm of electrical equipment in thermal power plant combined with Augmented Reality (AR), so as to improve the operation and maintenance efficiency of electrical equipment in thermal power plant. Aiming at the problems of difficult monitoring and inaccurate fault diagnosis in the operation and maintenance of electrical equipment in thermal power plants, an intelligent operation and maintenance model combining Bidirectional Fusion Network (BFN) and AR technology is proposed. Firstly, BFN network is used to extract and identify the features of the electrical equipment images in thermal power plants, and real-time operation data is combined for monitoring and fault diagnosis. Then, with the help of AR, the running status and maintenance suggestions of the equipment are intuitively displayed to the operation and maintenance personnel. The results show that the model is excellent in image recognition, real-time monitoring and fault diagnosis of electrical equipment. AR display has also been highly praised, which has improved the work experience of operation and maintenance personnel. The intelligent operation and maintenance model of electrical equipment in thermal power plant combined with AR has application value. This model will continue to be optimized and improved in future research to further improve the efficiency and accuracy of operation and maintenance.