面向DCL-32型捣固车的自动捣固控制技术及其运用

Automatic Tamping Control Technology for DCL-32 Tamping Truck and Its Application

随着我国铁路行业跨越式发展,铁路的运行速度及密度逐步提高,大型养路捣固机械得到了更广泛的应用。传统人工作业捣固车对操作人员要求高,工作强度大。文章以实现减轻人工作业强度、保障现场施工效率为目标,在不改变原车功能和机械结构的基础上,以DCL-32型捣固车为模板,提出了一种智能化自动捣固系统设计方案,重点分析其中铁路轨道轨枕的检测及定位下镐问题。该方案采用YOLOX模型进行图像检测,将识别出的结果与激光测距传感器输出里程相校核,快速、准确地完成轨道轨枕的检测;并基于卫星小车作业期间制动距离历史数据,拟合了制动关系曲线,对实际定位下镐点位进行预测。现场样机装车实验结果表明,单、双捣模式下,自动捣固作业速度与人工作业速度持平。该自动捣固系统控制方案试用效果良好,为后续的产品推广奠定了基础。

With the leapfrog development of the railway industry in China,the operating speed and density of the railways increase gradually,and large tamping machinery for track maintenance is used more widely.Traditional manual tamping truck has high requirements for operators and high working intensity.In order to achieve the goal of reducing the intensity of manual work and ensuring the efficiency of on-site construction,this paper proposes a design scheme of intelligent automatic tamping system based on DCL-32 tamping truck without changing the function and mechanical structure of the original machine,and focuses on the analysis of the railway track sleeper detection and positioning of the pick.In this scheme,the YOLOX model is used for image detection,and the recognized results are checked with the output mileage of laser ranging sensor,to complete the detection of track sleepers quickly and accurately.Based on the historical data of tamping truck braking distance during railway maintenance,this paper fit a braking relationship curve to predict the tamping position.The results of field prototype loading test show that the speed of automatic tamping is equal to that of manual tamping under single and double tamping modes.The control scheme of automatic tamping system proposed in this paper has a good trial effect,which lays a foundation for subsequent product promotion.