摘要
传统的甲烷气体泄漏检测方法主要以单点测量和红外热成像为主。前者由于测量点密度小且气体易于流动,很难确定泄漏点;后者根据气体云团与周围环境温度差异检测成像,温差较小时,成像对比度低、分辨力弱。根据以上局限性,提出一种甲烷气体泄漏成像检测技术。该技术结合TDLAS(Tunable diode laser absorption spectroscopy)遥测技术与激光主动成像方法对气体泄漏区域进行主动探测,然后采用SSIM(Structural Similarity)与混合高斯背景建模法相结合的算法对气体泄漏区域进行提取,实现对甲烷气体泄漏气团的成像检测。实验中对甲烷气体在不同泄漏流量、不同视频记录长度、不同环境下进行了检测。实验表明,该技术可实现对甲烷气体泄漏的主动成像检测,并且成像清晰、检测率高、实时性好、可准确呈现气体泄漏点。
Traditional methods for detecting methane gas leaks mainly rely on single-point measurements and infra-red thermal imaging.However,the former method has limitations due to low measurement point density and the ease with which gas can flow,making it difficult to determine the exact location of the leak.The latter method relies on detecting and imaging gas plumes based on differences in temperature between the gas cloud and the surrounding environment.When the temperature difference is small,the imaging con-trast and resolution are often low.To address these limitations,a new methane gas leak imaging detection technology has been proposed.This approach combines TDLAS remote sensing technology with laser ac-tive imaging methods to actively detect gas leakage areas.After detecting the gas leakage areas,an algo-rithm that combines SSIM(Structural Similarity Index Measure)and Gaussian Mixture Background Mod-eling is used to extract the gas leakage area,achieving imaging detection of methane gas leakage plumes.Experimental testing was conducted on methane gas leaks under different conditions,including various leakage flow rates,video recording lengths,and environmental conditions.The results showed that this technology can achieve active imaging detection of methane gas leaks,with clear imaging,high detection rates,good real-time performance,and accurate localization of gas leakage points.
作者
李正友
袁明君
徐洋
杨沅锦
孙思齐
杨炳雄
LI Zhengyou;YUAN Mingjun;XU Yang;YANG Yuanjin;SUN Siqi;YANG Bingxiong(College of Mechanical and Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China)
出处
《激光杂志》
CAS
北大核心
2024年第2期48-53,共6页
Laser Journal
基金
南京航空航天大学人事处管人才启动经费(No.1005-YQR17020)。
