文献类型：会议论文

英文题名：Research on Intelligent Monitoring Method of Medicine Delivery Vehicle Based on Internet of Things Technology

作者：Chen, Xiaomin[1]; Han, Xi[2,3]; Liu, Yuansheng[2,3]

第一作者：Chen, Xiaomin

机构：[1] Beijing Union University, College of Applied Science and Technology, Beijing, China; [2] Beijing Union University, Beijing Engineering Research Center of Smart Mechanical Innovation Design Service, Beijing, China; [3] Beijing Union University, College of Robotics, Beijing, China

第一机构：北京联合大学应用科技学院

通讯机构：[2]Beijing Union University, Beijing Engineering Research Center of Smart Mechanical Innovation Design Service, Beijing, China|[11417]北京联合大学;

会议论文集：Proceedings - 2023 10th International Conference on Dependable Systems and Their Applications, DSA 2023

会议日期：August 10, 2023 - August 11, 2023

会议地点：Tokyo, Japan

语种：英文

外文关键词：Radio frequency identification (RFID) - Remote control - Vehicles

摘要：Solving the puzzle of cross-infection between doctors and patients now seemed a distinct possibility due to the continuous progress of artificial intelligence technology represented by autonomous driving. A medicine delivery vehicle is designed to complete the transportation task autonomously. Utilizing the Internet of Things (IoT) technology, it can be remotely monitored and commanded through the WeChat mini program based on the Message Queuing Telemetry Transport (MQTT) protocol. The vehicle platform is constructed with Radio Frequency Identification (RFID) device, STM32 single-chip microcontroller, GM65 camera and other auxiliary hardware modules. To communicate with the cloud platform, ESP8266 Wi-Fi module is configured in the vehicle. The vehicle, cloud platform, and applet correspond with each other employing the MQTT protocol on software level. The OpenAPI interface and Topic subscription function are operated in the applet for transmitting monitored data and remote control instructions to the cloud and vehicle. The experiments in a simulated environment verify the effectiveness of system solutions and provide a technical solution for reducing the contact between doctors and patients. ? 2023 IEEE.