Proceedings of 2015 Photonics & Electromagnetics Research Symposium, Prague, July 6 - 9,Page(s)171-175
Abstract
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.
Citation
Mingbao Li,
Wei Li,
Jiawei Zhang,
and
Hongli Zhang,
"TDLAS Based Early-stage Forest Fire Detection System," Proceedings of 2015 Photonics & Electromagnetics Research Symposium, Prague, July 6 - 9,Page(s)171-175