Tianbai Zhang, Y. Zou, Yuntong An, Wanlu Yang, Xinyi Li
{"title":"Research and Implementation of Railway Freight Train Attitude and Center of Gravity Monitoring System","authors":"Tianbai Zhang, Y. Zou, Yuntong An, Wanlu Yang, Xinyi Li","doi":"10.1109/AEMCSE50948.2020.00102","DOIUrl":null,"url":null,"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.","PeriodicalId":246841,"journal":{"name":"2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AEMCSE50948.2020.00102","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.