Intelligent Assessment System for EMUs Operation and Maintenance Training Based on Virtual Simulation Technology

There is a strong demand for vocational and skilled personnel in high-speed rail in China. With the development of information technology, flexible and resource rich virtual simulation training platforms are rapidly growing. As a necessary support for virtual simulation training, the article conducted research on an intelligent expert evaluation system for electric multiple units (EMUs) operation and maintenance simulation training. The system establishes a multi-level fuzzy evaluation model by storing a large number of evaluation rules, uses forward inference mechanism to simulate the decision-making process of human experts, intelligently analyzes and evaluates the operational data collected and monitored during the operation and maintenance simulation training of EMUs, and outputs the evaluation results in the form of visual graphs and tables, providing feedback on the multi-dimensional achievement of trainees in training and providing auxiliary decision-making information for training managers. The proposed simulation data collection process and behavior evaluation analysis method can provide reference for the design of evaluation schemes for other types of virtual training platforms.