中圖分類號(hào)： TN98；TH7 文獻(xiàn)標(biāo)識(shí)碼： A DOI：10.16157/j.issn.0258-7998.200231 中文引用格式： 王圣哲,，王博,，高鳴遠(yuǎn)，等. 基于生命體征監(jiān)測(cè)與室內(nèi)定位技術(shù)的消防員協(xié)助系統(tǒng)[J].電子技術(shù)應(yīng)用,，2020,，46(12)：72-77. 英文引用格式： Wang Shengzhe，Wang Bo,，Gao Mingyuan,，et al. Aid system for firefighter based on vital signal detection and indoor location system[J]. Application of Electronic Technique，2020,，46(12)：72-77.
Aid system for firefighter based on vital signal detection and indoor location system
Wang Shengzhe,，Wang Bo，Gao Mingyuan,，Luo Liang
School of Electro-Optical Engineering,，Changchun University of Science and Technology，Changchun 130000,，China
Abstract： Since the development of modern technology, the number of high buildings and complex structures keeps ascending, which leads to the vital hazard of firefighters. This paper proposes a complete aid system to duel with the issues on vital signal detection and indoor location for the firefighters. In this paper, LSTM Neural Network is employed to classified the attitude and movement of the firefighter, and particular photoelectric sensors are used to detect the heard rate,，blood oxygen saturation and the gas surrounded. At the meantime, this paper proposes a indoor location system based on the data fusion of the Ultra-WideBand location and the inertial navigation. Finally data above are transmitted via LoRa-170M Network to the monitoring platform which is built up with the help of LabVIEW. At the end, experiments are designed to verify the ability and stability of the system.
Key words : firefighting rescue；vital signal detection,；indoor location system,；LSTM neural network；Ultra-WideBand technology
