• CN: 11-2187/TH
  • ISSN: 0577-6686

Journal of Mechanical Engineering ›› 2020, Vol. 56 ›› Issue (11): 1-25.doi: 10.3901/JME.2020.11.001

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Research Status and Development Trend of Intelligent Emergency Rescue Equipment

DONG Bingyan1,2, ZHANG Ziqiang3, XU Lanjun2, ZHU Zihu1, YANG Qi3, ZHAO Jing3, LI Dewu4, CHEN Shujun3   

  1. 1. China Emergency Response Alliance, Beijing 100070;
    2. Emergency Research Institute of Xinxing Cathay International Group, Beijing 100070;
    3. Intelligent Machinery Research Institute, Beijing University of Technology, Beijing 100124;
    4. Rescue Coordination and Plan Management Bureau, Ministry of Emergency Management, Beijing 100006
  • Received:2019-05-30 Revised:2019-09-20 Online:2020-06-05 Published:2020-06-12

Abstract: In the disaster scenes, such as earthquake and fire, the urgency of the rescue mission highlights the urgent need for intelligent emergency rescue equipment. The use of intelligent emergency rescue equipment can greatly improve the combat effectiveness of the rescue team, and deal with various disasters quickly and efficiently, especially the sudden and serious disasters. It can reduce the casualties and property losses, which is of great significance for its research. According to the working environment and use, intelligent emergency rescue equipment can be divided into air, land, underwater and common rescue equipment. On the basis of summarizing the research status of intelligent emergency rescue equipment and key technologies, it is found that there are still some problems in the current research, such as lack of efficient mechanism design method, poor reliability of equipment, low intelligence, low maturity of communication technology and poor man-machine friendliness, which lead to the low application of intelligent emergency rescue equipment in large-scale disaster field. Intelligent emergency rescue equipment will develop in the direction of advanced structure design, reliable motion performance, high intelligence, fast and accurate communication and good human-computer interaction.

Key words: rescue equipment, intelligent control, autonomous decision, precision communication, human-machine friendly

CLC Number: