基于改进TPDS长阵列的车辆超偏载检测研究

Research on Vehicle Overload and Bias Detection Based on Improved TPDS Long Array

摘要:

由于车辆超偏载检测过程中,受天气、路况等因素以及车辆行驶状态影响,导致信号组成的阵列过短,利用传统的TPDS(Trackside Performance Detection System,TPDS)车辆超偏载检测精度较低、耗时较长。提出基于改进TPDS长阵列的车辆超偏载检测研究。通过车辆运行品质轨边动态监测系统,利用测距传感器与数据采集仪将力学信号转换成电压信号,将输出信号并将其组合为长阵列输入到系统的测距传感器中；采用EDM算法对长阵列中的噪声点实施消除处理；将4个测距传感器安置到货运车辆底部,采用货运车辆动态称重方法,计算车辆上各弹簧组承载力的总和,并结合车辆有用信号,对车辆的载重情况展开测量,实现对车辆的超偏载检测。实验结果表明,利用长阵列改进TPDS系统后,测试具有较高的测量精度、检测效率以及检测稳定性。

Abstract:

Due to the influence of factors such as weather, road conditions, and vehicle driving status during the process of vehicle overload and unbalanced load detection, the array composed of signals is too short. Using the traditional Trackside Performance Detection System (TPDS) for vehicle overload and unbalanced load detection has lower accuracy and longer time consumption. Propose research on vehicle overload and unbalanced load detection based on improved TPDS long array. Through the dynamic monitoring system of vehicle operation quality on the trackside, the mechanical signals are converted into voltage signals using distance sensors and data acquisition instruments. The output signals are combined into a long array and input into the distance sensors of the system; Using EDM algorithm to eliminate noise points in long arrays; Install four distance sensors at the bottom of the freight vehicle, use the dynamic weighing method of the freight vehicle, calculate the total bearing capacity of each spring group on the vehicle, and combine with the useful signal of the vehicle to measure the load situation of the vehicle, achieving the detection of vehicle overload and deviation. The experimental results show that the use of long arrays to improve the TPDS system results in high measurement accuracy, detection efficiency, and detection stability..