兰州理工大学学报

兰州理工大学学报 ›› 2023, Vol. 49 ›› Issue (1): 87-93.

• 自动化技术与计算机技术 • 上一篇    下一篇

基于云平台的汽车远程监控系统设计

赵耕云, 王佳, 李万敏, 刘小斌*   

  1. 兰州工业学院 汽车工程学院, 甘肃 兰州 730050
  • 收稿日期:2021-07-19 出版日期:2023-02-28 发布日期:2023-03-21
  • 通讯作者: 刘小斌(1968-),男,甘肃庆阳人,教授. Email:615127103@qq.com
  • 基金资助:
    2022年度甘肃省高等学校创新基金(2022B-252),2022年甘肃省教育厅高等教育教学成果培育项目(169),兰州市人才创新创业项目(2021-RC-42)

Design of automobile remote monitoring system based on cloud platform

ZHAO Geng-yun, WANG Jia, LI Wan-min, LIU Xiao-bin   

  1. School of Automotive Engineering, Lanzhou Institute of Technology, Lanzhou 730050, China
  • Received:2021-07-19 Online:2023-02-28 Published:2023-03-21

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摘要： 为了实时监控汽车运行状态和位置,实现汽车历史数据和轨迹的查询,摆脱地域限制,设计了一套基于云平台的汽车远程监控系统.该系统包括车载终端和云端服务平台两部分.车载终端采集车辆状态数据和GPS经纬度,通过4G网络上传云端;云端服务平台包括可视化监控中心、数据库和Web服务器.系统管理员通过云端监控中心对车辆进行实时远程监控和数据查询,普通用户通过Web浏览器对车辆进行监控,形成两级监管模式.长时间运行结果表明:该系统运行稳定可靠,能够实现异地远程监控,监控数据丰富,数据刷新频率约为0.62 Hz,具有较好的实时性,能够查询车辆的历史数据和历史轨迹.

关键词: 汽车, 远程监控, 车载终端, 云端服务平台, 数据库

Abstract: In order to realize the real-time monitoring of vehicle status and position, query the vehicle historical data and track, and get rid of regional restrictions, a remote monitoring system for vehicles based on a cloud platform is designed. The system includes vehicle terminal and cloud service platform, which the former is responsible for collecting vehicle status data and GPS longitude and latitude, and uploading them to the cloud through 4G network. The cloud service platform includes visual monitoring center, database, and web server. The system administrator carries out real-time remote monitoring and data query on the vehicle through the cloud monitoring center, and the ordinary users monitor vehicles through the web browser, forming a two-level supervision mode. The results of long-term operation show that the system is stable and reliable, and can realize remote monitoring in different places. The monitoring data is rich, and the data refresh frequency is about 0.62 Hz. Therefore, the system has good real-time performance and can query the historical data and historical track of vehicles.

Key words: automobile, remote monitoring, vehicle terminal, cloud service platform, database

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