工业气体泄漏红外成像检测及差分光谱滤波检测方法研究

Research on infrared imaging detection and differential spectrum filtering detection methods for industrial gas leakage

以石油天然气为代表的工业气体已深入到人们生活和生产过程中,工业气体泄漏成为当前工业生产、交通运输等领域发生重大灾害的现象之一,同时甲烷排放也成为我国“碳排放”达标战略目标的主要指标,快速有效的气体泄漏检测技术和仪器成为当今国内外研究的重点。随着近年来非制冷红外焦平面探测器性能的提高,其低成本、长寿命和高可靠性能满足工业气体泄漏红外成像检测昼夜连续工作的应用需要,并发展出多种气体泄漏红外成像检测模式。在分析不同工业气体泄漏红外成像检测模式的基础上,设计并研制了基于差分光谱滤波的工业气体泄漏红外成像检测实验系统,分析提出了五个需要重点研究的视频图像处理方法,给出了相关的处理模型或典型处理示例。试验结果表明该成像检测模式具有较高的灵敏度,是一种有效的气体泄漏红外成像检测技术。

Industrial gases,represented by oil and natural gas,have penetrated people's lives and production processes.Gas leakage has become one of the major disasters in current industrial production,transportation and other fields.Meanwhile,methane emissions have become the main target of China’s"carbon emissions"strategic goal.Rapid and effective gas leakage detection technology and instruments have become the focus of research at home and abroad.In response to the improvement of the performance of the uncooled infrared focal plane array(IRFPA)in recent years,its low cost,long life and high reliability can adapt to industrial gas leakage of infrared imaging detection requirements of continuous work day and night,and a variety of gas leakage infrared imaging detection modes have been developed.Based on the analysis of different infrared imaging detection modes of industrial gas leakage,this paper designs and develops an infrared imaging detection experimental system of industrial gas leakage based on differential spectral filtering,analyses and puts forward five video image processing methods that need to be studied,and gives relevant processing models or typical processing examples.The results show that the imaging detection mode has the characteristics of high sensitivity and is an effective infrared imaging detection technology for gas leakage.