Article Details

Title · Authors · Abstract · Keywords · DOI · References

Intelligent Emergency Rescue Helmet Based on BeiDou and NB-IoT

ZHANG Fan, LU Chao, XIE Weifeng, SHI Xiangnan, ZHOU Yuchen, YANG Yidan

(School of Physics and Telecommunication Engineering, Shaanxi University of Technology, Hanzhong 723001, China)

Section：Internet of Things · Vol. 2026, Issue 2 · Pages：181-186 · 2096-4706（2026）02-0181-06 · CLC number：TN91 · Document code：A · DOI：10.19850/j.cnki.2096-4706.2026.02.034

Abstract

In order to reduce casualties in emergency rescue activities and improve emergency rescue efficiency, this paper designs an intelligent emergency rescue helmet. The design adopts BeiDou positioning technology and NB-IoT communication technology, collects smoke concentration and environmental temperature and humidity data through MQ-2 and DHT11 sensors respectively, and realizes low-power data uploading to the cloud based on LwM2M protocol and NMEA-0183 protocol with the help of BC26 and ATK-1218-BD modules. The system can monitor measurement data in real time, locate personnel position through BeiDou, and possesses an intelligent alarm function. Test results show that the helmet can effectively improve rescue efficiency, and demonstrates good feedback and promotion prospects in practical applications.

Keywords

emergency rescue; BeiDou positioning; NB-IoT communication; LwM2M protocol

References

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About the authors

Zhang Fan (1999-), male, Han ethnicity, from Weinan, Shaanxi, is a master's student with a research focus on electronic information; Corresponding author: Lu Chao (1979-), male, Han ethnicity, from Hanzhong, Shaanxi, professor, doctoral student, research direction: computer application technology, measurement and control technology.