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Development of a mid-infrared sensor system for early fire identification in cotton harvesting operations.

Authors :
Li, Yafei
Lu, Yang
Zheng, Chuantao
Yang, Shuo
Zheng, Kaiyuan
Song, Fang
Li, Chunguang
Ye, Weilin
Zhang, Yu
Wang, Yiding
Tittel, Frank K.
Source :
Analyst; 1/7/2023, Vol. 148 Issue 1, p74-84, 11p
Publication Year :
2023

Abstract

To realize early fire identification in cotton harvesting operations, a mid-infrared carbon monoxide (CO) sensor system was developed. To match the broadband light source with a 15° divergence angle, a multipass gas cell (MPGC) with an effective path length of 180 cm was designed to improve sensor sensitivity, leading to a limit of detection (LoD) of 0.83 parts-per-million by volume (ppmv). A damping module with springs at the bottom and front/back sides was fabricated, which can effectively reduce the vibration intensity by >80%. The sensor system can operate normally from −40 °C to 85 °C by stabilizing the temperature of the optical module through heating or cooling as well as using automotive electronic components. An adaptive early fire identification algorithm based on a dual-parameter threshold alarming method was proposed to avoid false and missing alarms. Field deployments on a harvester verified the good practicability of the sensor system. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00032654
Volume :
148
Issue :
1
Database :
Complementary Index
Journal :
Analyst
Publication Type :
Academic Journal
Accession number :
160885944
Full Text :
https://doi.org/10.1039/d2an01523d