本发明提供基于数据外循环与监测内循环的钢轨状态监测方法及系统,包括对预监测钢轨获取数据外循环的线路基础参数拟合得到基础状态模型和获取监测内循环的钢轨损失监测结果拟合得到钢轨监测状态模型,结合线路基础参数和钢轨损失监测结果双循环拟合得到钢轨服役状态模型,对于钢轨使用年限大于大修年限的线路按照基础状态模型获取预监测钢轨的服役状态,对于钢轨使用年限小于等于大修年限的线路按照钢轨服役状态模型获取预测线路钢轨主要故障位置预计出现的时间节点及对应的故障类型,进而对预监测钢轨进行预防性维修和提前重点监测。本发明能够对预监测钢轨进行预防性维修和提前重点监测,消耗人力少,不影响列车正常运行,效率高。
The invention provides a steel rail state monitoring method and system based on data external circulation and monitoring internal circulation, and the method comprises the steps: obtaining line basic parameters of data external circulation for a pre-monitored steel rail, carrying out the fitting of the line basic parameters to obtain a basic state model, and obtaining a steel rail loss monitoring result of monitoring internal circulation, and carrying out the fitting to obtain a steel rail monitoring state model; combining the basic parameters of the line and the monitoring result of the steel rail loss to obtain a steel rail service state model through double-loop fitting, and obtaining the service state of the pre-monitored steel rail according to the basic state model for the line of which the steel rail service life is greater than the overhaul service life; for the line with the steel rail service life smaller than or equal to the overhaul life, according to the steel rail service state model, the predicted time node of the main fault position of the predicted line steel rail and the corresponding fault type are obtained, and then preventive maintenance and advanced key monitoring are conducted on the pre-monitored steel rail. The system can carry out preventive maintenance and advanced key monitoring on the pre-monitored steel rail, consumes less manpower, does not affect the normal operation of a train, and is high in efficiency.
基于数据外循环与监测内循环的钢轨状态监测方法及系统
2024-05-28
Patent
Elektronische Ressource
Chinesisch