China Safety Science Journal ›› 2022, Vol. 32 ›› Issue (S1): 184-188.doi: 10.16265/j.cnki.issn1003-3033.2022.S1.0657

• Public safety • Previous Articles     Next Articles

Analysis of application status of intelligent sensors in firefighting equipment

WANG Yong1,2,3(), HU Bin4, KANG Ke'nan1, KONG Qingdong1, GE Xiaohan1, LI Chenyang1   

  1. 1 School of Mechanical and Automotive Engineering, Qingdao University of Technology, Qingdao Shandong 266520, China
    2 Key Laboratory of Intelligent Fire Protection Equipment of Linyi City, Linyi Shandong 276000, China
    3 Fire Emergency Rescue Equipment Technology Innovation Center of Linyi City, Linyi Shandong 276000, China
    4 Shanghai Fire Research Institute of MEM, Shanghai 200438, China
  • Received:2022-02-17 Revised:2022-05-06 Online:2022-06-30 Published:2022-12-30

Abstract:

In order to find out the specific application status and future development trend of intelligent sensors in firefighting equipment, starting from the application advantages, existing problems and shortcomings of intelligent sensors in firefighting equipment, the types of typical intelligent sensors used in intelligent firefighting equipment and their application status were reviewed and analyzed. Combined with the practical application cases of intelligent sensors in firefighting equipment, the paper focuses on the application of intelligent sensors in fire monitoring, firefighting equipment information collection, perception recognition, and smart firefighting internet of things. The results show that the application of intelligent sensors in firefighting equipment improves the precision and accuracy of fire monitoring. Intelligent firefighting equipment and fire monitoring method based on multi-sensor fusion can effectively cope with complex fire monitoring tasks, and at the same time, play an important role in the environmental perception of intelligent fire protection robots and the actual combat ability of firefighter protective equipment.

Key words: intelligent sensor, fire equipment, fire monitoring, intelligence, multi-sensor fusion