摘要
为有效判别轨道几何状态、适应高速铁路养护状态修,开展轨道不平顺维修策略优化研究。选取马尔可夫决策过程,设置轨道状态等级、维修动作空间和维修动作成本等模型参数,利用价值迭代算法进行求解,实现高速铁路线路维修计划的有效制定。以华东地区某有砟高速铁路线路为例,结合典型劣化速度的轨道单元区段特征,分析马尔可夫决策模型的维修决策优化过程并验证效果,同时探究轨道单元区段在每个决策时刻的最优维修决策,利用蒙特卡洛法模拟规划周期内的维修总成本并与实际维修成本进行对比。结果表明:基于马尔可夫决策过程的轨道不平顺维修决策,能够充分考虑轨道单元区段不平顺劣化的异质性,可以根据轨道单元区段的实际状态和劣化规律科学安排维修活动,提高维修作业的空间分辨率,规划周期内维修决策的优化效果显著,在保证线路高平顺性的同时减少维修成本,对铁路线路轨道养护维修具有指导作用。
In order to effectively judge the geometric state of track and adapt to the maintenance state of highspeed railway,the optimization of track irregularity maintenance strategy is studied.The Markov decision process is selected,the model parameters such as track state level,maintenance action space and maintenance action cost are set,and the value iteration algorithm is used to solve the problem,so as to realize the effective formulation of high-speed railway line maintenance plan.Taking a ballasted high-speed railway line in East China as an example,combined with the characteristics of the track unit at typical deterioration speed,the maintenance decision optimization process of the Markov decision model is analyzed and the effect is verified.At the same time,the optimal maintenance decision of the track unit section at each decision time is explored.Monte Carlo stochastic simulation is used to simulate the total maintenance cost in the planning cycle and compare it with the actual maintenance cost.The results show that the track irregularity maintenance decision based on Markov decision process can fully consider the heterogeneity of track unit section irregularity deterioration,scientifically arrange maintenance activities according to the actual state and deterioration law of track unit section,improve the spatial resolution of maintenance operation,and the optimization effect of maintenance decision in the planning cycle is remarkable,which reduces the maintenance cost while ensuring the high smoothness of the line,and has a guiding role in the maintenance and repair of railway track.
作者
何祥国
张斌
曾城林
邹海浪
罗雁云
He Xiangguo;Zhang Bin;Zeng Chenglin;Zou Hailang;Luo Yanyun(Jiangxi Tongji Construction Project Management Co.,Ltd.,Nanchang 330025,China;State Key Laboratory of Performance Monitoring and Protecting of Rail Transit Infrastructure,East China Jiaotong University,Nanchang 330013,China;Nanchang High-speed Railway Infrastructure Section,China Railway Nanchang Bureau Group Co.,Ltd.,Nanchang 330100,China;Institute of Railway and Urban Mass Transit,Tongji University,Shanghai 201804,China)
出处
《华东交通大学学报》
2023年第5期68-75,共8页
Journal of East China Jiaotong University
基金
国家自然科学基金项目(52178430)
江西省重点研发计划“揭榜挂帅”项目(20223BBE51009)。
关键词
高速铁路
轨道不平顺
马尔可夫决策过程
价值迭代算法
养护维修策略
high-speed railway
track irregularity
Markov decision process
value iteration algorithm
maintenance strategy