Research of Collaborative Search and Rescue System for Photovoltaic Mobile Robot Based on Edge Computing Framework

Personnel search and rescue work is a kind of emergency rescue work mainly to save the lives of personnel. If only firefighters carry out search in unknown areas in the field, the efficiency is too low and it is easy to delay the best rescue time. If a joint search is carried out using mobile robots and firefighters, it will be beneficial to find missing persons with vital signs in a timely manner, and it will be convenient to soothe the emotions of family members in a timely manner, embodying the humanistic care and humanitarian spirit. In order to solve the problem that the current rescue robot has high energy consumption and short flight time, and can not undertake a large number of long-time search and rescue tasks. This project proposes a multi-robot collaborative search and rescue system based on renewable energy to extend the mobile robot's battery life, this system is mainly divided into five parts: new solar system, search and rescue robot, Internet of Things networking, cloud server, and WeChat applet. At the same time, Multiple robots carry out collaborative search and rescue operations through the ZigBee wireless network, and the camera carried by a single robot can identify the human body with edge computing. After networking, the 4G mobile network is used to send the personnel recognition results to the background terminal, to indicate if a missing person was found. Considering that the efficiency and accuracy of searching need to be improved urgently, an improved golden section method is proposed to keep the output power of the solar panel at the highest level to increase flight duration. This project meets the urgent needs of high-efficiency rescue, energy conservation and environmental protection.