关键词: 车联网；云端监测；高效数据存储；云通信；智能车辆；行驶状态

Abstract: It is difficult to realize high-order autonomous driving only by relying on single-vehicle intelligence. However, the combination of vehicle, cloud, road and human can greatly improve the vehicle's environmental perception and control decision-making ability, so as to give the global optimal scheme in the process of intelligent vehicle driving. In this paper, a vehicle driving condition monitoring system based on cloud communication was built. Firstly, the on-board Robot Operating System (ROS) system was used to integrate the data of each sensor, then the data were uploaded to the cloud through WebSocket protocol and stored efficiently by Redis cache middleware in the cloud. The cloud system used Token-based security verification technology for secure access and data re-integration. The client requested monitoring data through the HTTP protocol and designed a display page for each monitoring data on the client. Finally, the corresponding sensors were deployed on the real vehicle to verify the monitoring system. The results showed that the system had good reliability and stability.

Key words: Car networking; Cloud monitoring; Efficient data storage; Cloud communication; Intelligent vehicle; Driving condition