TDLAS Based Early-stage Forest Fire Detection System
The commonly used forest fire detection methods are insufficient to detect the early-stage forest fire. In order to solve this problem, this paper presents a novel method to detect early-stage forest fire using TDLAS (Tunable Diode Laser Absorption Spectroscopy) technique. With the high sensitivity and rapid response, TDLAS is used to detect trace gas CO concentration sourcing from the early-stage forest fire. The TDLAS system is composed of a White-type multi-pass cell, combined with wavelength modulation and harmonic detection. The analysis of second-harmonic spectrum and the lab tests to different CO concentrations show that the relationship between CO concentration and spectrum intensity abide by linearity relations, and the system has high accuracy. It can be concluded that it is feasible to detect early-stage forest fire by measuring CO concentration and it interests to improve the system performance in the forest fire detection field.
Jiawei Zhang Mingbao Li Wei Li Hongli Zhang
College of Mechanical and Electrical Engineering, Northeast Forestry University, China College of Civil Engineering, Northeast Forestry University, China Traffic College, Northeast Forestry University, China
国际会议
Progress in Electromagnetics Research Symposium 2014(2014年电磁学研究新进展学术研讨会)
广州
英文
171-175
2014-08-01（万方平台首次上网日期，不代表论文的发表时间）