With the development of the electric power industry and the growth of user demands, it has become an important task to improve the efficiency and quality of the electric power business customer service system. This paper proposes an intelligent customer service system for electric power business based on semantic understanding, which aims to use natural language processing and artificial intelligence technology to understand user intentions and semantics, and provide intelligent service support. The system is trained by deep learning and natural language processing technology to accurately identify users' problems or needs, provide corresponding answers or suggestions according to the preset knowledge base and business rules, and give timely feedback to users. Through the research of this paper, we provide an intelligent and personalized customer service solution for the power business, and look forward to the future development direction and improvement potential of this field.