基于物联网的汽车远程检测与诊断系统研究

Research on Remote Detection and Diagnosis System for Automobile Based on Internet of Things

摘要

随着智能网联汽车与车辆电子控制技术的快速发展，传统依赖车载故障灯与维修站人工诊断的方式已难以适应汽车系统高度软硬件集成、故障模式多维耦合和运行环境复杂多变的现实需求。物联网技术通过传感器网络、边缘计算与云端协同，实现车辆运行状态的实时监测、远程数据传输与智能分析，为车辆故障诊断模式转型提供新的技术路径。本研究结果表明，车端—边缘—云端三层协同架构能有效提升车辆故障检测准确度与覆盖率，显著降低维护成本并改善用户体验，为智能网联汽车的可持续运行提供重要工程价值与理论支撑。

Abstract

With the rapid development of intelligent connected vehicles and vehicle electronic control technology, the traditional method of relying on on-board fault lights and manual diagnosis at maintenance stations is no longer suitable for the high integration of software and hardware in automotive systems, multi-dimensional coupling of fault modes, and complex and changing operating environments. The Internet of Things technology realizes real-time monitoring, remote data transmission and intelligent analysis of vehicle operation status through the collaboration of sensor network, edge computing and cloud, and provides a new technical path for the transformation of vehicle fault diagnosis mode. The results of this study indicate that the three-layer collaborative architecture of vehicle end edge cloud can effectively improve the accuracy and coverage of vehicle fault detection, significantly reduce maintenance costs, and improve user experience, providing important engineering value and theoretical support for the sustainable operation of intelligent connected vehicles.

关键词

物联网 / 汽车远程检测 / 故障诊断 / CAN总线

Key words

Internet of Things / Remote inspection of automobiles / Fault diagnosis / CAN bus

参考文献

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