基于密度聚类算法和广度优先搜索算法的道岔摩擦电流智能分析系统

Intelligent Analysis System for Turnout Friction Current Based on Density Clustering Algorithm and Breadth-first Search Algorithm

[目的]现场的道岔摩擦电流测试与调整存在流程繁琐且风险高、对检修人员专业水平要求高、测定数值的主观性占比大3个弊端,为此需要基于各类智能算法及技术提升道岔的智能运维水平。[方法]分析了道岔摩擦电流测试曲线4个阶段的特征,提出建立道岔摩擦电流的智能分析系统。阐述了该系统的功能及工作原理,设定了该系统的摩擦电流标准值及阈值范围。该系统可基于密度聚类算法和广度优先搜索算法自动获取道岔摩擦电流值。介绍了该系统的调试界面截图,以说明系统在获取道岔摩擦电流值如何为现场检修人员提供操作建议。[结果及结论]该智能系统具有良好的可用性,实现了节约检修时间、降低维护成本和提高检修效率的既定目的。

[Objective]The turnout friction current on-site testing and adjustment involve three major unfavorable aspects of complex processes and high risks,high professional requirements for maintenance personnel,and significant subjective component in determining numerical values,calling for enhancement of the intelligent operation and maintenance level of turnout based on various intelligent algorithms and technologies.[Method]The characteristics of the four stages of turnout friction current testing curve are analyzed,and an intelligent analysis system for turnout friction current is proposed.The functionality and working principle of the system are elucidated,and standard values and threshold ranges for friction current are established.Based on density clustering algorithm and breadth-first search algorithm,the system can automatically retrieve the turnout friction current value.Screenshots of the system debugging interface are presented to illustrate how the system provides operational suggestions for on-site maintenance personnel in obtaining turnout frictional current values.[Result&Conclusion]This intelligent system demonstrates excellent usability and achieves the predefined goals of saving maintenance time,reducing maintenance costs,and increasing maintenance efficiency.