Objective When the HMI (human-machine interface) systems of high-speed EMU (electric multiple unit) are powered on or having abnormal conditions, a large number of fault codes often pop in a 'screen-flooding' manner, causing critical alarm information to be obscured. This seriously interferes with the real-time judgement and handling of drivers and onboard personnel, constraining improvements in operation and maintenance efficiency and driving safety. Therefore, it is necessary to develop an optimized fault dictionary function oriented toward efficient operation and maintenance.

Method By integrating multiple attributes such as fault severity level, system affiliation, vehicle operating conditions, and response mechanisms, an integrated management model for intelligent classification, hierarchical display, and precise querying of fault information is constructed. Differentiated display interfaces based on user (driver, mechanic, maintenance personnel) roles are designed to achieve precise delivery of key information. A dynamic information priority sorting method and an intelligent aggregation mechanism for the same-origin faults are proposed, effectively suppressing interface redundancy. A 'fault dictionary'-based query function is introduced, providing full-chain knowledge support ranging from code definitions and causal mechanisms to handling procedures. Based on the Qt framework and a modular architecture, the optimization scheme is integrated into the existing HMI for engineering validation.

Result & Conclusion  After optimization, the fault information response speed of the HMI interface increased by approximately 30%, and the average fault handling time of operation and maintenance personnel was reduced by about 25%. The optimized HMI interface effectively eliminates the 'screen-flooding' phenomenon and significantly improves the recognition efficiency and handling accuracy of critical alarms.