Objective To address the issues in the serial wake-up process of FAO (fully automatic operation) trains such as prolonged self-test timeout, long overall duration due to sequential task execution, and delayed feedback on wake-up results, a parallel FAO train wake-up process is designed.

Method The three core steps of FAO train wake-up (power-on self-test, static test, dynamic test) and their associated specific tasks are analyzed. Based on years of operational big data from the FAO line of Nanning Rail Transit Line 5, the necessary wake-up conditions, actual consumption time, historical failure rates, and fault impact scope of each task are studied in detail. The safety correlation degree and logical dependency relationship among different tasks are clarified to study the feasibility of executing relevant parallel wake-up tasks.

Result & Conclusion The proposed “parallel” FAO train wake-up process significantly shortens the automatic train wake-up time and markedly enhances overall operational efficiency by optimizing the task execution mode and timeout configurations. The “parallel” FAO train wake-up process not only provides more sufficient response time for the fault handling of FAO lines and reduces backup train investment cost, but also offers a feasible solution for the scheduling optimization of train movement organization.