The intelligent analysis and fault diagnosis system based on the signal centralized monitoring system relies on the software and hardware platform and information resources of the railway signal centralized monitoring system. It summarizes and classifies various collected switch values, analog values, and alarm data, adopts flexible inference control strategies, and provides timely and effective diagnostic information and problem-solving directions for on-site signal maintenance personnel. It helps signal workers quickly discover fault points and handle them in a timely manner, thereby shortening maintenance time

The intelligent analysis and fault diagnosis system based on the signal centralized monitoring system relies on the software and hardware platform and information resources of the railway signal centralized monitoring system. It summarizes and classifies the collected switch values, analog values, and alarm data, adopts flexible inference control strategies, and provides timely and effective diagnostic information and problem-solving directions for on-site signal maintenance personnel. It helps signal workers quickly discover fault points and handle them in a timely manner, thereby shortening maintenance time.
The system uses expert analysis methods to analyze problems from the perspective of an experienced signal expert, combined with various real-time and historical information in the system, to provide equipment trend warning and preventive maintenance warning, and to provide scientific maintenance basis for maintenance personnel. The intelligent analysis and fault diagnosis system based on signal microcomputer monitoring is a necessary maintenance tool for on-site signal maintenance personnel to scientifically maintain and quickly handle faults, ensuring smooth transportation. It is the true "black box" for fault prevention and analysis of electrical personnel.
(1) Detailed and effective monitoring and analysis of abnormal working status of equipment
(II)Accurate diagnosis and analysis of equipment fault status
(3)Trend analysis of the application status of scientific equipment
(IV)Maintenance and management of equipment fault handling records throughout the entire process
(V)Comprehensive statistical analysis of equipment failure information