* Metadata of the article in the English version is available in full starting in 2016.

Application of fire detectors’ real-time alarm information for high-rise building fire command

UDC 614.842.4:004.94
Authors Shu Xueming, Associate Professor
Wu Jinjin
Tang Shiyang
Hu Jun
Guan Jingfu
Abstract Purpose. Once a building fire broke out, it is imperative for the fire department to collect the burning building’s comprehensive information as much as possible. With these information, fire brigades are able to be dispatched and rush into the fire scene to eliminate fire at early stage.
Methods. Using IoT technology, we can achieve the monitor`s position and running state of the fire-fighting equipment such as fire hydrants, smoke detectors, flame detectors in real time, and grasping the structural information of the building and the location of the fire source. By simulating the trend of fire spread, the location of the trapped people and firefighters can be inferred. This information can provide reasonable suggestions for on-site command, which will greatly improve the efficiency of fire fighting and rescue.
Findings. Using real-time information of fire IoT facilities, we can improve the efficiency of fire fighting and fire rescue significantly.
Application field of research. Used in the field of fire detection, monitoring, early warning and fire emergency rescue.
Conclusions. We have completed several fire detection researches on high-rise building, such as dynamic fire risk mapping technology in fire dispatching, personnel localization system inside high-rise buildings and fire networking technology. These technologies can help fire commandersconducting in fire rescue and fire distinguish, and it has already been applied in one fire brigade in China. Summary of the article is made, evaluation and recommendations are given, perspectives of further research are proposed.
Keywords fire detection, real-time fire alarm information, Internet of Thing, dynamic fire risk, fire command
  References
1. Cao Gongli. Assessment for the fire risk of high-rise building based on FAHP-FCE mode. M. S. thesis (in Chinese), Zhejiang University, China, March, 2013. (chn).
2. Zhang Lining. High-rise building fire risk evaluation and intelligent alarm system research. M. S. thesis (in Chinese), Beijing Institute of Technology, China, May, 2015. (chn).