4.7 Article

Development and field deployment of a mid-infrared CO and CO2 dual-gas sensor system for early fire detection and location

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.saa.2021.120834

Keywords

Fire detection; Fire location; Gas sensor; Infrared absorption spectroscopy; Wireless network

Categories

Funding

  1. National Natural Science Foundation of China [61627823, 61775079, 61960206004, 62175087]
  2. Key Science and Technology R&D program of Jilin Province, China [20200401059GX]
  3. Science and Technology Research Project of Department of Education, Jilin Province, China [JJKH20211088KJ]
  4. Program for JLU Science and Technology Innovative Research Team (JLUSTIRT) [2021TD-39]

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In this study, a mid-infrared carbon monoxide (CO) and carbon dioxide (CO2) dual-gas sensor system was developed for early fire detection and location. The performance of the sensor system was evaluated through experiments, and a method of early fire detection using the concentration ratio between CO and CO2 as the key alarm parameter was proposed. Additionally, a mobile early fire location method was presented based on gas turbulent diffusion combined with particle swarm optimization.
In order to realize early fire detection and location, a mid-infrared carbon monoxide (CO) and carbon dioxide (CO2) dual-gas sensor system was developed, which mainly includes a gas pretreatment module, a CO2 sensor module, a CO sensor module, and a laptop monitoring platform. CO2 and CO absorption lines located at 4.26 mu m and 4.66 mu m, respectively, were selected to ensure good selectivity of the sensor system. A series of experiments were carried out to evaluate the sensor performance. The 10-90% response time of the CO and CO2 sensor modules was measured to be similar to 30 s at a flow rate of 1 L/min, and the limits of detection (LoD) of CO2 and CO were assessed to be 5.66 parts per million by volume (ppmv) and 0.94 ppmv, respectively, when the averaging time was 0.25 s. According to the correlation between CO2 and CO concentration in the early fire stage, a method of early fire detection was studied and proposed using the normalized concentration ratio between CO and CO2 (C(CO)/C(CO2)) as the key alarm parameter. Based on gas turbulent diffusion (GTD) model combined with particle swarm optimization (PSO) algorithm, a mobile early fire location method was presented. Correlative experiment results verified that the reported sensor system has a good performance for early fire detection and location. (C) 2021 Elsevier B.V. All rights reserved.

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