The invention provides a train operation system simulation verification method based on parallel intelligence. The method comprises the following steps: constructing a manual train operation system according to an actual train operation system; carrying out model system learning and verification based on a computational experiment on the train operation control system by utilizing the manual train operation system to obtain a trained train operation control system; the trained train operation control system is executed in parallel in the actual train operation scene and the manual train operation scene, and the train operation system is optimized and improved. According to the method, the parallel intelligent normal form is expanded to simulation verification of the train operation system for the first time, the problems that an actual simulation platform is difficult to verify in a long-tail scene and the reproduction cost is high are solved, comprehensive and sufficient experimental verification can be carried out, and the safety and reliability of an actual system are improved.
本发明提供了一种基于平行智能的列车运行系统仿真验证方法。该方法包括:根据实际列车运行系统构建人工列车运行系统;利用所述人工列车运行系统对列车运行控制系统进行基于计算实验的模型系统学习和验证,得到训练好的列车运行控制系统;将训练好的列车运行控制系统在实际列车运行场景和人工列车运行场景中平行执行,对列车运行系统进行优化改进。本发明首次将平行智能范式扩展到列车运行系统仿真验证上,解决了实际仿真平台在长尾场景验证困难且复现成本高的问题,并且可以进行全面充分的实验验证,提高实际系统的安全性和可靠性。
Simulation verification method for train operation system based on parallel intelligence
一种基于平行智能的列车运行系统仿真验证方法
2022-08-30
Patent
Electronic Resource
Chinese
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