By upgrading the intelligent perceptions of important auxiliary machinery and improving its online data monitoring coverage 24/7 automatic real-time data collection, data transfer and status monitoring of the machinery can be achieved. On-site real-timeprocess parameters can be introduced to conduct multi-dimensional comprehensive analysis and diagnosis for the supervised machinery. It is equipped with a complete vibration analysis spectrum function. Combined with the intelligent fault diagnosis knowledgebase within the system, it can automatically complete machinery fault diagnosis based on collected data, accurately and in real time automatically evaluate the operational health status of the machinery, precisely diagnose machinery faults to the componentlevel, and determine and automatically point out the fault location, cause, severity level, solution and maintenance cost of the equipment. Combined with the 3D model of the machinery, it can interact and link with the collected data and diagnostic conclusionsin real time, achieving 3D visualization display and information delivery.