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

摘要： 只依靠单车智能很难实现高阶自动驾驶，但通过将车、云、路、人结合起来，可大幅 提高车辆的环境感知和控制决策能力，从而给出智能车辆行驶过程中的全局最优方案。文章 搭建了基于云通信的车辆行驶状态监测系统。先用车载端机器人操作系统（ROS）对各传感 器的数据进行整合，然后通过 WebSocket 协议上传至云端，并在云端使用 Redis 缓存中间件 对数据高效存储。云端系统通过基于 Token 的安全验证技术进行安全访问，并对数据再次整 合。客户端通过 HTTP 协议来进行监测数据的请求，并且在客户端设计出了每种监测数据的 展示页面。最后，在实车上布置相应传感器进行监测系统验证，结果表明，该系统具有良好 的可靠性和稳定性。

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