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

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.