基于机器视觉的船舶SO_(2)排放速率反演方法  

Inversion Method of Ship SO_(2)Emission Rate Based on Machine Vision

作　　者：何微微 刘翔宇 张会亮 唐奇欣 曹其航 钟士桐 孙明琨 HE Weiwei;LIU Xiangyu;ZHANG Huiliang;TANG Qixin;CAO Qihang;ZHONG Shitong;SUN Mingkun(School of Physics and Electronic Information,Yantai University,Yantai 264005,China)

机构地区：[1]烟台大学物理与电子信息学院,烟台264005

出　　处：《光子学报》2025年第1期189-200,共12页Acta Photonica Sinica

基　　金：大学生创新创业计划训练项目(No.X202311066018);国家自然科学基金(Nos.62305283,41975039);山东省自然科学基金(No.ZR2021QD088);山东省高等学校“青创科技支持计划”(No.2021KJ008)。

摘　　要：排放速率对于研究污染气体扩散的动力学特性及污染物的时空演化规律至关重要,为此提出一种基于机器视觉的排放速率反演方法。首先通过自主设计的SO_(2)紫外相机系统,基于紫外成像测量原理和光谱定标法获取烟台港一艘客货船排放尾气羽流中的SO_(2)浓度信息。随后利用Farneback光流算法检测羽流图像中光流的运动方向及强度,对光流向量进行可视化处理,计算得出图像中船舶尾气的排放速度。最后,结合SO_(2)的浓度信息与计算得到的排放速度,对结果进行分析,实现SO_(2)排放速率精确反演。试验结果表明,基于机器视觉的反演方法能够有效估算SO_(2)排放速率,对船舶尾气排放监测具有实际意义。Emission rate is a critical parameter for assessing the environmental impact of ships,as it directly relates to the amount of pollutants released into the atmosphere per unit of time.Monitoring and controlling ship emissions has become a pressing global challenge due to the increasing contribution of maritime activities to air pollution and climate change.However,traditional monitoring techniques,while effective in capturing spatial pollutant concentration distributions,face inherent limitations in their physical principles.These methods rely on localized or single-point measurements,making them unsuitable for accurately capturing dynamic processes like plume transport and dispersion.As a result,they fail to deliver precise real-time emission rate measurements.To address these limitations,this study leverages the unique advantages of UV cameras for twodimensional pollutant imaging and proposes an innovative method for calculating ship exhaust emission rates using the Farneback optical flow algorithm in machine vision.UV imaging enables spatially resolved detection of pollutant concentrations over a large field of view,offering a significant improvement over traditional point-based methods.The Farneback optical flow algorithm,which has been widely validated for rigid body motion estimation,is adapted to analyze the dynamic behavior of fluid plumes in this study.The SO_(2)UV camera utilizing the specific absorption characteristics of SO_(2)molecules in the UV spectrum.By recording the spectral signals generated from SO_(2)absorption of UV light and converting them into visualized images,the camera provides precise detection and localization of SO_(2)emission sources.However,SO_(2)molecules exhibit significant absorption of solar radiation in the 280~320 nm wavelength range,where black carbon particles in the exhaust also introduce absorption interference.To address this,a dual-channel imaging framework is proposed.This framework,based on the Beer-Lambert law and the differential absorption cross-sections of SO_(2)a

关 键 词：船舶尾气 SO_(2)紫外相机 光谱定标 图像处理 排放速率反演 

分 类 号：O433[机械工程—光学工程]