一种基于立体视觉技术的燃烧诊断方法
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摘要
为了获得一种简便、易于操作的三维光学诊断方法,将双目立体视觉技术引入燃烧诊断领域,并验证了其在燃烧诊断领域应用的可行性。搭建了用于燃烧流场诊断的高速双目立体视觉系统,阐明了双目立体视觉原理并开发了配套软件,通过对标定模板上特征点进行三维重建验证了系统和软件的可用性,对特征点三维重建的绝对误差为0.17mm,相对误差为8%。实现了对非预混冲击火焰表面的三维重建,重建后的三维图像可以清晰地显示出火焰表面的三维几何结构。对一组连续拍摄的图像进行处理,得到火焰在微小时间间隔中的空间演变情况。实验结果表明,利用该技术可以实现对燃烧火焰的三维诊断,利用该技术进行的实验操作相对于其他的光学诊断方法而言也非常简单。
In order to obtain a new three-dimensional optical combustion diagnostic method which is simple and easy to operate,binocular stereo vision technology was introduced into combustion diagnostic field,and the feasibility of the method was demonstrated.High-speed binocular stereo vision system for the diagnostic of combustion field was built and the principle of binocular stereo vision was clarified.Software was developed and tested.Three-dimensional reconstruction of feature points in the calibration panel was carried out.The absolute error of the result was 0.17 mm and the relative error was 8%.The three-dimensional reconstruction of diffusion impinging flame was obtained and the three-dimensional structure of flame was shown clearly in the reconstruction image.The development of three-dimensional flame in a short interval was obtained by dealing with a series images of flame.It is shown that the new technology could be used in combustion diagnostic field and the operation of experiment is much more easier than other optical methods.
In order to obtain a new three-dimensional optical combustion diagnostic method which is simple and easy to operate,binocular stereo vision technology was introduced into combustion diagnostic field,and the feasibility of the method was demonstrated.High-speed binocular stereo vision system for the diagnostic of combustion field was built and the principle of binocular stereo vision was clarified.Software was developed and tested.Three-dimensional reconstruction of feature points in the calibration panel was carried out.The absolute error of the result was 0.17 mm and the relative error was 8%.The three-dimensional reconstruction of diffusion impinging flame was obtained and the three-dimensional structure of flame was shown clearly in the reconstruction image.The development of three-dimensional flame in a short interval was obtained by dealing with a series images of flame.It is shown that the new technology could be used in combustion diagnostic field and the operation of experiment is much more easier than other optical methods.
引文
[1]汪亮.燃烧实验诊断学(第二版)[M].北京:国防工业出版社,2005.
[2]何勇灵,郗大光,刘宁.一种用于研究柴油喷雾的高速多分幅激光全息摄影系统[J].农业工程学报,2003,19(1):87-90.
[3]李世武,王云鹏,刘艳莉,等.汽油磁化改性测试与激光全息摄影研究[J].中国公路学报,2003,16(4):101-105.
[4]Sebastian Pfadler,Friedrich Dinkelacker,Frank Beyrau,et al.High Resolution Dual-Plane Stereo-PIV for Validation of Subgrid Scale Models in Large-Eddy Simulations of Turbulent Premixed Flames[J].Combustion and Flame,2009,156(8):1552-1564.
[5]Chandra Shekhar,Koichi Nishino,Yoshiyuki Yamane,et al.Stereo-PIV Measurement of Turbulence Characteristics in a Flow Mixer[J].Journal of Visualization,2012,15(4):293-308.
[6]隋婧,金伟其.双目立体视觉技术的实现及其进展[J].电子技术应用,2004,(10):4-6.
[7]Moulay Akhloufi A,Lucile Rossi,Lilia Abdelhadi,et al.Dynamic Fire Modeling in Three-Dimensional Space[J].Image Processing Theory,Tools&Applications,2008,(10):1-7.
[8]Rossi L,Molinier T,Santoni P,et al.Stereovision for the Determination of Fireline Intensity in Vegetation Fire[J].Computational Methods and Experimental Measurements XV,2011,(51):155-160.
[9]Ng W B,Syed K J,Zhang Y.The Study of Flame Dynamics and Structures in an Industrial-Scale Gas Turbine Combustor Using Digital Data Processing and Computer Vision Techniques[J].Experimental Thermal and Fluid Science,2005,(29):715-723.
[10]马颂德,张正友.计算机视觉—计算理论与基础算法[M].北京:科学出版社,1998.
[11]Zhengyou Zhang.A Flexible New Technique for Camera Calibration[J].Pattern Analysis and Machine Intelligence,2000,22(11):1330-1334.
[12]王红梅,张科,李言俊.图像匹配研进展[J].计算机工程与应用,2004,(19):42-46.
[13]李俊山,沈绪榜.图像匹配技术研究[J].微电子与计算机,2000,17(2):10-14.
[14]罗成平,龚沛曾.图像匹配技术[J].微型电脑应用,2000,16(3):26-28.
[15]关泽群,刘晓青.不同空间分辨率图像匹配[J].测绘通报,2012,S1:284-287.
[16]吴强,任琳,张杰,等.快速归一化互相关算法及DSP优化实现[J].电子测量与仪器学报,2011,25(6):495-499.
[17]谢维达,周宇恒,寇若岚.一种改进的快速归一化互相关算法[J].同济大学学报,2011,39(8):1233-1237.
[18]黄真宝,陈阳.图像匹配中NCC算法的一种快速实现方法[J].信息化研究,2011,(2):48-52.
[2]何勇灵,郗大光,刘宁.一种用于研究柴油喷雾的高速多分幅激光全息摄影系统[J].农业工程学报,2003,19(1):87-90.
[3]李世武,王云鹏,刘艳莉,等.汽油磁化改性测试与激光全息摄影研究[J].中国公路学报,2003,16(4):101-105.
[4]Sebastian Pfadler,Friedrich Dinkelacker,Frank Beyrau,et al.High Resolution Dual-Plane Stereo-PIV for Validation of Subgrid Scale Models in Large-Eddy Simulations of Turbulent Premixed Flames[J].Combustion and Flame,2009,156(8):1552-1564.
[5]Chandra Shekhar,Koichi Nishino,Yoshiyuki Yamane,et al.Stereo-PIV Measurement of Turbulence Characteristics in a Flow Mixer[J].Journal of Visualization,2012,15(4):293-308.
[6]隋婧,金伟其.双目立体视觉技术的实现及其进展[J].电子技术应用,2004,(10):4-6.
[7]Moulay Akhloufi A,Lucile Rossi,Lilia Abdelhadi,et al.Dynamic Fire Modeling in Three-Dimensional Space[J].Image Processing Theory,Tools&Applications,2008,(10):1-7.
[8]Rossi L,Molinier T,Santoni P,et al.Stereovision for the Determination of Fireline Intensity in Vegetation Fire[J].Computational Methods and Experimental Measurements XV,2011,(51):155-160.
[9]Ng W B,Syed K J,Zhang Y.The Study of Flame Dynamics and Structures in an Industrial-Scale Gas Turbine Combustor Using Digital Data Processing and Computer Vision Techniques[J].Experimental Thermal and Fluid Science,2005,(29):715-723.
[10]马颂德,张正友.计算机视觉—计算理论与基础算法[M].北京:科学出版社,1998.
[11]Zhengyou Zhang.A Flexible New Technique for Camera Calibration[J].Pattern Analysis and Machine Intelligence,2000,22(11):1330-1334.
[12]王红梅,张科,李言俊.图像匹配研进展[J].计算机工程与应用,2004,(19):42-46.
[13]李俊山,沈绪榜.图像匹配技术研究[J].微电子与计算机,2000,17(2):10-14.
[14]罗成平,龚沛曾.图像匹配技术[J].微型电脑应用,2000,16(3):26-28.
[15]关泽群,刘晓青.不同空间分辨率图像匹配[J].测绘通报,2012,S1:284-287.
[16]吴强,任琳,张杰,等.快速归一化互相关算法及DSP优化实现[J].电子测量与仪器学报,2011,25(6):495-499.
[17]谢维达,周宇恒,寇若岚.一种改进的快速归一化互相关算法[J].同济大学学报,2011,39(8):1233-1237.
[18]黄真宝,陈阳.图像匹配中NCC算法的一种快速实现方法[J].信息化研究,2011,(2):48-52.