TY  - JOUR
PY  - 2022//
TI  - Development of a mid-infrared sensor system for early fire identification in cotton harvesting operations
JO  - Analyst
A1  - Li, Yafei
A1  - Lu, Yang
A1  - Zheng, Chuantao
A1  - Yang, Shuo
A1  - Zheng, Kaiyuan
A1  - Song, Fang
A1  - Li, Chunguang
A1  - Ye, Weilin
A1  - Zhang, Yu
A1  - Wang, Yiding
A1  - Tittel, Frank K.
SP  - ePub
EP  - ePub
VL  - ePub
IS  - ePub
N2  - 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.<p />  <p>Language: en</p>
LA  - en
SN  - 0003-2654
UR  - http://dx.doi.org/10.1039/d2an01523d
ID  - ref1
ER  -