汽车列车超载系统信号监控优化建模研究

Car Train Overload Signal Monitoring System Optimization Modeling Research

对汽车列车超载系统信号监控建模研究,可以提高汽车列车驾驶过程中的安全性。由于汽车列车在行进过程中,受到车体颠簸、速度不定等干扰,使得超载信号传递中,发生很大程度的衰减,而传统的信号超载系统信号监控是通过对超载信号的捕获实现的,导致很难保证信号传递的完整性。提出一种采用二元蚁群的汽车列车超载监控系统信号传递模块设计,对汽车列车超载系统信号监控优化建模,分析了信号传递的原理,采用小波变换法对超载信号的噪声进行过滤。定义一个蚁群遍历的二进制有向图,使所有蚂蚁遍历自身的路径,将不同蚂蚁遍历的解集合在一起获取问题的解。蚂蚁按照自身信息素通过转移概率的大小判断信号的传递方向。完成超载信号的1次传递后,对所有结点蚂蚁的信息素进行更新,反复循环,直至满足迭代结束条件。仿真结果表明,采用所提方法对信号进行传递的整体性能和成功率很高,可提高汽车列车超载系统信号监控的准确性。

Overload signal monitoring system in the car train modeling study, can improve the security in the process of automobile drive train. The paper put forward a monitoring system design of car train overload signal transmission module based on binary ant colony. The monitoring optimization model of system overload signal in the ear train was built up, the principle of signal transmission was analyzed, and the wavelet transform method was used to filter overload signal noises. An ant colony optimization traversal of the binary directed graph was fefined. Making all ants traverse its own path, the solution set of different ants traversed together to obtain solutions of the problem. Ant pheromones through the size of the transition probability were judged according to its own signal transmission direction. Overload signal was completed after one pass, ant pheromone was update on all nodes, so the cycle was repeated until meet the end of the iteration. The simulation results show that the overall performance and the success rate of the proposed method are very high, and the accuracy of the motor train overload signal monitoring system is improved.