货车状态监测维修系统对车辆的修程及应用  

Prediction and Application of Freight Car Condition Monitoring and Maintenance System to Repair Process of Special Vehicles

作　　者：于志军[1] YU Zhijun(Communication Design Institute of Communication and Signal Design Institute,China Railway First Survey and Design Institute Group Co.,Ltd.,Xi an 710043,China)

机构地区：[1]中铁第一勘察设计院集团有限公司通信信号设计院通信设计所,西安710043

出　　处：《成都工业学院学报》2023年第1期44-47,共4页Journal of Chengdu Technological University

摘　　要：为了研究公路货车车辆车厢状态监测维修系统工作效率,保障公路特殊运输安全性,介绍货车状态检测维修系统结构及数据来源,阐述系统硬件构成模式;升级了货车车辆车厢的内置物联网大数据系统,且在实地试验中将新系统监测数据与成熟技术条件下的货车监测系统数据进行对比,发现结构磨损直接监测数据的误差率有所下降,间接数据及挖掘数据的敏感度有所提升,认为该系统具有一定的技术优势。使用大数据模型驱动货车车厢监测维修系统监测磨损数据能够降低误差,解决监控成本高的问题。In order to improve the working efficiency of the condition monitoring and maintenance system of special vehicle compartments of highway trucks and ensure the safety of special highway transportation, the structure and data source of the condition monitoring and maintenance system of freight cars were introduced, and the hardware structure model of the system was expounded. The built-in internet big data system of special vehicle compartments of trucks was upgraded, and the monitoring data of the new system was compared with the data of truck monitoring system under mature technical conditions in the field test. It is found that the error rate of direct monitoring data of structural wear is decreased, and the sensitivity of indirect data and mining data is improved. It is considered that the system is more mature and has certain technical advantages.

关 键 词：公路货车 特殊车辆 修程预测 运输安全 车辆物联网 

分 类 号：TM425[电气工程—电器]