石油和天然气红外成像检漏

Infrared imaging detection of oil and natural gas leakage

石油和天然气泄漏后容易引起火灾、爆炸事故,发展快速、有效的石油和天然气红外成像检漏技术具有重要意义。通过对石油和天然气泄漏成分及其红外吸收特性的分析,将成像检漏系统的光谱响应波段选取为3.2~3.5μm。针对气体目标的运动、扩散特点,研究了基于背景动态范围压缩的方法和基于气体边缘迁移的方法,对成像检漏演示系统的输出图像进行实时增强处理,实验表明两种增强算法提高了气体成像检漏的能力。

The leakage of oil or nature gas can cause fire hazards and explosion accidents, so it is of great importance to develop a rapid and effective infrared imaging detection technique for oil and nature gas. Through the analysis of infrared absorption characteristics of the emissions, the operational wavelength for leak detection is determined to be 3.2 to 3. 5 μm. Considering the motion and diffusion of the leaked gas, two real-time image processing algorithms based on the background dynamic range compression method and the gas edge movement enhancement method are proposed and applied to the demonstration system respectively. Results show that these algorithms can significantly improve the detection capability.