Based on technologies such as big data, artificial intelligence, and digital twins, a knowledge base and expert system for thermal power unit equipment are established. Through functions such as unit system health scoring, equipment status monitoring and early warning, operational optimization guidance, and abnormal monitoring of economic indicators, the system enables early fault prediction and warning, reducing the occurrence of equipment failures and improving the safe and economical operation of the units.