Li Kun, Duan Shaoli, Pang Lingling, Li Weilai, Yang Zhixiong, Hu Yaohang, Yu Chunchao
Kunming Institute of Physics, Kunming 650223, China.
School of Opto-Electronical Engineering, Xi'an Technological University, Xi'an 710021, China.
Toxics. 2023 Jan 15;11(1):83. doi: 10.3390/toxics11010083.
Environmental monitoring, public safety, safe production, and other areas all benefit greatly from the use of gas detection technologies. The infrared image of a gas could be used to determine its type from a long distance in gas detection. The infrared image can show the spatial distribution of the gas cloud and the background, allowing for long-distance and non-contact detection during safety production and hazardous chemical accident rescue. In this study, a gas detection system based on multispectral infrared imaging is devised, which can detect a variety of gases and determine the types of gas by separating the infrared radiation. It is made up of an imaging optical system, an uncooled focal plane detector, a filter controller, and a data gathering and processing system. The resolution of the infrared image is 640 × 512 and the working band of the system is 6.5~15 μm. The system can detect traces of pollutants in ambient air or gas clouds at higher concentrations. Ammonia, sulfur hexafluoride, methane, sulfur dioxide, and dimethyl methyl phosphonate were all successfully detected in real time. Ammonia clouds could be detected at a distance of 1124.5 m.
环境监测、公共安全、安全生产等领域都从气体检测技术的应用中受益匪浅。在气体检测中，气体的红外图像可用于远距离确定其类型。红外图像能够显示气体云与背景的空间分布情况，便于在安全生产和危险化学品事故救援过程中进行远距离非接触式检测。本研究设计了一种基于多光谱红外成像的气体检测系统，该系统能够通过分离红外辐射来检测多种气体并确定气体类型。它由成像光学系统、非制冷焦平面探测器、滤光片控制器以及数据采集与处理系统组成。红外图像分辨率为640×512，系统工作波段为6.5~15μm。该系统能够检测环境空气中的痕量污染物或较高浓度的气体云。成功实时检测到了氨气、六氟化硫、甲烷、二氧化硫以及甲基膦酸二甲酯。在1124.5米的距离处能够检测到氨气云。
