Development of a CO sensor for early fire detection

Jing-min, 党敬民 Dang; Hai-ye, 于海业 Yu; Fang, 宋芳 Song; Yiding, 王一丁 Wang; Yu-jing, 孙裕晶 Sun

doi:10.3788/ope.20182608.1876

Cited by 3 publications

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Smoldering charcoal detection in forest soil by multiple CO sensors

et al. 2023

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Cleaning up residual fires is an important part of forest fire management to avoid the loss of forest resources caused by the recurrence of a residual fire. Existing residual fire detection equipment is mainly infrared temperature detection and smoke identification. Due to the isolation of ground, temperature and smoke characteristics of medium and large smoldering charcoal in some forest soils are not obvious, making it difficult to identify by detection equipment. CO gas is an important detection index for indoor smoldering fire detection, and an important identification feature of hidden smoldering ground fires. However, there is no research on locating smoldering fires through CO detection. We studied the diffusion law of CO gas directly above covered smoldering charcoal as a criterion to design a detection device equipped with multiple CO sensors. According to the motion decomposition search algorithm, the detection device realizes the function of automatically searching for smoldering charcoal. Experimental data shows that the average CO concentration over the covered smoldering charcoal decreases exponentially with increasing height. The size of the search step is related to the reliability of the search algorithm. The detection success corresponding to the small step length is high but the search time is lengthy which can lead to search failure. The introduction of step and rotation factors in search algorithm improves the search efficiency. This study reveals that the average ground CO concentration directly above smoldering charcoal in forests changes with height. Based on this law, a CO gas sensor detection device for hidden smoldering fires has been designed, which enriches the technique of residual fire detection.

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Smoldering charcoal detection in forest soil by multiple CO sensors

et al. 2023

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Design of Smoke-temperature Composite Detector Based on HWD32

Zhang

Yin

2023

2023 IEEE 6th Information Technology,Networking,Electronic and Automation Control Conference (ITNEC)

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Recent advances in laser gas sensors for applications to safety monitoring in intelligent coal mines

Gong

Wang

et al. 2022

Front. Phys.

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Due to the extremely complex working conditions, various health and safety hazards are present in underground coal mines, which cause economic losses and heavy casualties. Among these hazards, methane gas explosion and coal combustion are recognized as the two major hazards to miners. Traditional electronic sensors in mine safety monitoring systems have problems such as low precision, a large amount of maintenance, and monitoring dead zones. In the past decade, gas sensors based on tunable diode laser absorption spectroscopy (TDLAS) have been extensively studied and tailored for use in the coal mine industry because of their advantages of high sensitivity, high stability, fast response, intrinsic safety, and remote monitoring. This invited paper introduces the recent progress and typical applications of TDLAS-based methane sensors, carbon monoxide sensors, and multi-gas monitoring systems in coal mine gas monitoring, fire prevention, and early warning in intelligent coal mines.

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Development of a CO sensor for early fire detection

Cited by 3 publications

References 0 publications

Smoldering charcoal detection in forest soil by multiple CO sensors

Smoldering charcoal detection in forest soil by multiple CO sensors

Design of Smoke-temperature Composite Detector Based on HWD32

Recent advances in laser gas sensors for applications to safety monitoring in intelligent coal mines

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