基于改进型SGA的高速轨道智能精调系统设计

High Speed Rail Intelligent Adjusting System Design Based on Improved SGA

目前我国的高速轨道的调整主要依靠人工巡检与手工调整的方式,数据测量主要依靠人工目测,数据不完备且主观性强,造成轨道的调整不准确、出现局部平顺全局缺陷的情况;提出基于遗传算法的高速轨道精调系统设计方法,设计了轨道参数检测系统对轨道的轨向、轨距、水平、超高等参数进行测量,结合曲线拟合对数据进行处理与特征提取后保存到系统的数据存储装置,经过USB接口将数据读入上位机系统,通过遗传算法对组合问题的解析能力得出高速轨道的精调方案;实际的系统测试证明,该系统对轨道数据的采集准确率较高,调整方案效果显著,具有很强的实用价值。

At present our country high speed track adjustment mainly rely on manual inspection and manual adjustment mode, data measurement mainly rely on artificial range estimation, the data is not complete and strong subjectivity, resulting in orbit adjustment is not accurate, smooth global defect in the local. Based on genetic algorithm is proposed for high--speed rail adjusting system design method, design of the orbit parameters detection system for rail track, gauge, level, the higher the parameter to be measured, with the combination of curve fitting to data processing and feature extraction is saved to the system data storage device, through the USB interface data read into the computer system, based on the genetic algorithm combined analytical ability to draw fine tuning scheme of high speed track. The actual system test, the system to track the data acquisition accuracy, adjustment scheme effect significantly, with strong practical value.