Research and Implementation of Railway Freight Train Attitude and Center of Gravity Monitoring System

Tianbai Zhang, Y. Zou, Yuntong An, Wanlu Yang, Xinyi Li
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Abstract

With the development of the express delivery industry, the demand for freight trains on high-speed railways has surged, and monitoring of their operational safety has become increasingly important. However, many re-searches on the operation status of high-speed freight trains at home and abroad cannot meet the complex and changeable characteristics of high-speed railways. Therefore, using the quaternion self-fusion algorithm and the first-order complementary filtering algorithm, the existing inertial sensor MPU-6050, combined with wireless serial communication technology and Lab-VIEW software on the host, designed a strong real-time, stable Good train condition monitoring system. Through the system's static test and dynamic inspection, the accuracy and stability of the system data were evaluated, and the need for real-time monitoring of train operating conditions was met.
铁路货运列车姿态与重心监测系统的研究与实现
随着快递行业的发展,对高速铁路货运列车的需求激增,对其运行安全的监控变得越来越重要。然而,国内外对高速货运列车运行状况的许多研究都不能满足高速铁路复杂多变的特点。因此,利用四元数自融合算法和一阶互补滤波算法,利用现有的惯性传感器MPU-6050,结合无线串行通信技术和主机上的Lab-VIEW软件,设计了实时性强、稳定性好的Good列车状态监测系统。通过系统的静态测试和动态检测,评估了系统数据的准确性和稳定性,满足了对列车运行状况进行实时监控的需要。
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