摘要
为提高铁路线路纵断面优化自动化水平,加强变坡点的寻找精度,减少人工调节工作量,基于二分迭代法设计了1种自动化程度和精度更高的纵断面优化算法,该算法采用最大矢距值二分查找方式,精确定位变坡点位置,并对查找过程进行有效的阈值控制。为实现该优化算法开发了1套高程自动优化软件,进一步采用试验数据对比分析验证该算法的实用性,与传统算法相比,提高了自动化程度,且计算结果精度满足精捣作业需求。
In order to improve the automation level of railway line profile optimization,enhance the locating precision of point of gradient change,and reduce the workload of manual adjustment,this paper designs a profile optimization algorithm with a higher automation degree and precision based on the dichotomy iteration method.The algorithm adopts the maximum vector distance value dichotomy locating method to accurately locate the point of gradient change and effectively control the threshold value during the location.The algorithm has been validated through software programming and actual measurement data.Furthermore,a comparative data analysis was conducted to verify the practicability of this algorithm.Compared with conventional algorithms,the automation degree is improved,and the precision of calculation results meets the requirements of precise tamping.
作者
马占川
MA Zhanchuan(Kunming Manufacturing Supervision Project Department for Track Maintenance Vehicles,China Railway Kunming Group Co.,Ltd.,Kunming Yunnan 650215,China)
出处
《中国铁路》
北大核心
2024年第2期75-79,共5页
China Railway
关键词
铁路线路
纵断面
优化算法
变坡点
二分迭代法
railway line
profile
optimization algorithm
point of gradient change
dichotomy iteration method