基于红外视频的加油枪油气泄漏检测方法
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国家自然科学基金项目(No.61273240);浙江省科技计划项目(No.2019C04025)资助


Oil vapor leakage detection method of refueling gun based on infrared video
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    摘要:

    加油站如果发生油气泄漏将造成巨大危害。针对加油枪泄漏油气具有的浓度低、动态发展等特性,提出一种基于红外视频的加油枪油气泄漏检测方法:利用红外相机采集加油枪工作区域的视频信号,针对其建立混合高斯背景模型,联合帧差法和背景消除法得到疑似泄漏图像;对该图像进行形态学和滤波运算,提取帧图像的形状和扩散特征,根据油气泄漏的特征范围,消除信号噪声干扰;建立图像灰度与油气浓度间的映射方程,按照国家油气泄漏浓度标准的相关规定,判断是否泄漏超标。本研究以水蒸气为模拟实验对象进行测试,结果表明该方法能较为精准的判断泄漏情况。

    Abstract:

    If oil vapor leakage occurs in gas stations,it will cause enormous damage.Aiming at the characteristics of low concentration and dynamic development of oil vapor leakage from refueling gun,a method of oil vapor leakage detection based on infrared video is proposed.The video signal of the working area of the refueling gun is collected by infrared camera,and a mixed Gaussian background model is established.The suspected leakage image is obtained by combining frame difference method and background elimination method.Morphological and filtering operations are performed on the image to extract the shape and diffusion features of the frame image.And the signal noise interference is eliminated according to the characteristic range of oil vapor leakage.The mapping equation between image gray scale and oil vapor concentration is established.And according to the relevant provisions of the national oil vapor leakage concentration standard,whether the leakage exceeds the standard is judged.In this study,water vapor was used as a simulated experimental object to test,and the results show that this method can accurately judge the leakage situation.

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陈宁,陈本均,白冰.基于红外视频的加油枪油气泄漏检测方法[J].激光与红外,2019,49(10):1217~1222
CHEN Ning, CHEN Ben-jun, BAI Bing. Oil vapor leakage detection method of refueling gun based on infrared video[J]. LASER & INFRARED,2019,49(10):1217~1222

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  • 在线发布日期: 2019-10-30
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