@article{ref1,
title="Development of a mid-infrared sensor system for early fire identification in cotton harvesting operations",
journal="Analyst",
year="2022",
author="Li, Yafei and Lu, Yang and Zheng, Chuantao and Yang, Shuo and Zheng, Kaiyuan and Song, Fang and Li, Chunguang and Ye, Weilin and Zhang, Yu and Wang, Yiding and Tittel, Frank K.",
volume="ePub",
number="ePub",
pages="ePub-ePub",
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.<p /> <p>Language: en</p>",
language="en",
issn="0003-2654",
doi="10.1039/d2an01523d",
url="http://dx.doi.org/10.1039/d2an01523d"
}