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BP neural network-based personnel positioning-tracking-stationary alarm system for emergency rescue
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Li Wang1, Zhe Wang1, Wenling Guan1, Jiaqi Zhang1, Chaolin Liu2, Yuying Meng1, 3
China Safety Science Journal | 2026, 36(4) : 204 - 210
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China Safety Science Journal | 2026, 36(4): 204-210
• Public Safety and Emergency Management •
BP neural network-based personnel positioning-tracking-stationary alarm system for emergency rescue
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Li Wang1, Zhe Wang1, Wenling Guan1, Jiaqi Zhang1, Chaolin Liu2, Yuying Meng1, 3
Affiliations
  • 1School of Environmental Science and Safety Engineering, Tianjin University of Technology, Tianjin 300384, China
  • 2Information Research Institute of Ministry of Emergency Management (MEM), Beijing 100029, China
  • 3Shandong Jinweianheng Education Technology Co., Ltd., Ji'nan Shandong 250003, China
Published: 2026-04-28 doi: 10.16265/j.cnki.issn1003-3033.2026.04.0177
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To ensure timely rescue of trapped personnel in fire scenarios, a personnel positioning-tracking-stationary alarm system was proposed by combining BP neural networks and DS-TWR technology. The system was developed based on the LabVIEW platform, where the BP neural network learned the error patterns of multipath effects and non-line-of-sight propagation, corrected DS-TWR ranging errors, and achieved precise personnel positioning and trajectory tracking. By calculating the movement distance within a defined time, the system evaluated personnel motion status and established thresholds of displacement and time to trigger alarms, which automatically activated alerts when a person remained stationary beyond the safety threshold. Test results show that the system achieves centimeter-level static and dynamic positioning accuracy under both normal and metal/electromagnetic interference environments. It features high positioning precision and favorable stability, enables accurate trajectory generation, delivers reliable static personnel alarms, and maintains a low response latency.

emergency rescue  /  back propagation (BP) neural network  /  personnel positioning-tracking-stationary alarm  /  double-sided two-way ranging (DS-TWR)  /  laboratory virtual instrument engineering workbench (LabVIEW)
Li Wang, Zhe Wang, Wenling Guan, Jiaqi Zhang, Chaolin Liu, Yuying Meng. BP neural network-based personnel positioning-tracking-stationary alarm system for emergency rescue[J]. China Safety Science Journal, 2026 , 36 (4) : 204 -210 . DOI: 10.16265/j.cnki.issn1003-3033.2026.04.0177
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Article Info
doi: 10.16265/j.cnki.issn1003-3033.2026.04.0177
  • Receive Date：2025-12-14
  • Online Date：2026-07-08
  • Published：2026-04-28
Article Data
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History
  • Received：2025-12-14
  • Revised：2026-02-26
Funding
Affiliations
    1School of Environmental Science and Safety Engineering, Tianjin University of Technology, Tianjin 300384, China
    2Information Research Institute of Ministry of Emergency Management (MEM), Beijing 100029, China
    3Shandong Jinweianheng Education Technology Co., Ltd., Ji'nan Shandong 250003, China
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