Citation

Li Y, Lu Y, Zheng C, Yang S, Zheng K, Song F, Li C, Ye W, Zhang Y, Wang Y, Tittel FK. Analyst 2022; ePub(ePub): ePub.

Copyright

(Copyright © 2022, Royal Society of Chemistry)

DOI

10.1039/d2an01523d

PMID

36444614

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.

Language: en