基于RAMS的地铁信号系统维修策略研究

为了保证整个地铁的正常载客运营,地铁信号系统的可靠性、可用性及安全性须维持在一个较高水平,因此应当加强对制定维修策略准确性与合理性的研究。通过对信号系统设备维修活动的研究,以其平均可靠性与维修费用共同作为二维优化目标,将系统可用性及安全性设定为算法的约束条件,建立相应的多目标优化模型。应用标准粒子群算法及引入退火机制的粒子群算法进行寻优计算与结果分析,最终获取全局最优解集以协助决策人员制定最有利的维修计划。

Maintenance strategy of metro signaling system based on RAMS

The reliability, availability and safety of signaling system must be maintained at a high level for a robust operating metro system. Therefore it should strengthen the research on making the accuracy and rationality of the maintenance strategy. Through the study of the maintenance activities of signal system, the average reliability and maintenance cost was taken as the optimization target of two-dimensional, the system availability and security were set as the constraints condition of the algorithm, a multi-objective optimization model was built accordingly. The standard particle swarm optimization(PSO) algorithm and the simulated annealing mechanism of particle swarm algorithm were applied to the optimization calculation and result analysis. Finally, the global optimal solution set was obtained to assist decision makers the most favorable maintenance plan.