基于图像传感器的液位测量方法研究
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摘要
文章利用激光笔与摄像头构建了一种非接触式液位测量装置。依据液面上的入射光斑中心与液面高度之间的函数关系,利用最小二乘法标定液位测量装置的参数,完成液位测量。由于液面的晃动具有周期性,文章通过自相关算法来判断晃动液面的振荡周期,对液面高度构成的振荡曲线进行最小方差拟合,一个周期内拟合函数上下积分值相等的点为液面高度。此算法实现了准确的实时地连续监测液位,可应用在工业液位测量等场合。
In this paper,a non-contact liquid level measuring device was built by laser pointer and camera.Incident spot centers on the basis of surface have the functional relationship between the liquid level,and using least squares calibration parameters to complete the level measurement.The liquid surface rock is periodicity,using autocorrelation algorithm to determine the rock cycle,the sloshing of liquid height curve constitutes the minimum variance fitting,when fitting function within a period of the upper equal to lower integral point solution height.This algorithm can accurate real-time continuous monitoring of liquid level,can be used in industrial level measurement applications.
In this paper,a non-contact liquid level measuring device was built by laser pointer and camera.Incident spot centers on the basis of surface have the functional relationship between the liquid level,and using least squares calibration parameters to complete the level measurement.The liquid surface rock is periodicity,using autocorrelation algorithm to determine the rock cycle,the sloshing of liquid height curve constitutes the minimum variance fitting,when fitting function within a period of the upper equal to lower integral point solution height.This algorithm can accurate real-time continuous monitoring of liquid level,can be used in industrial level measurement applications.
引文
[1]陈金丽.基于视频图像的液位检测与跟踪系统分析与设计[D].湖南大学硕士学位论文,2009
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[6]郭辉,林瑞霖.基于图像处理的高精度检测方法研究[J].舰船电子工程,2009,29(12):179~182
[7]李文刚,金玉姬,高锐.水平地震激励下储罐液体晃动分析[J].自然灾害学报,2007,16(2):138~142
[8]Srivatsan Chakravarthy,Rajeev Sharma,RangacharKasturi.Fellow,IEEE[J].Noncontact Level SensingTechnique Using Computer Vision,2002,51(2):353~361
[9]滕素珍,冯敬海.数理统计学[M].第四版.大连理工大学出版社,2005,4:179~184
[10]Rafael C.Gonzalez,Richard E.Woods,Steven L.Eddins.数字图像处理:MATLAB版[M].阮秋琦,等译.北京:电子工业出版社,2005
[11]周锐,房建成,祝世平.图像测量中光斑尺寸优化及性能分析[J].仪器仪表学报,2000,21(2):177~180
[12]张显亭,陈树越,陈颖鸣.一种改进的复杂场景运动目标检测算法[J].传感技术学报,2009,22(8):1146~1149
[13]肖思兴.复杂场景下的运动目标检测与跟踪算法研究[D].厦门大学硕士学位论文,2009
[2]杨秀君.基于图像处理的罐体液位检测方法的研究[D].湖南大学硕士学位论文,2009
[3]吴琼,张国雄,樊玉铭.基于CCD摄像法进行液位测量的研究[J].宇航计测技术,2008,28(2):1~4
[4]潘且鲁,张颖川,潘俊民.基于图像处理技术的液位测控系统[J].自动化仪表,2000,21(4):36~38
[5]代素梅,张贵涛,钟旭等.基于图像识别的液位在线读取[J].辽宁工程技术大学学报(自然科学版),2009,28(2):284~287
[6]郭辉,林瑞霖.基于图像处理的高精度检测方法研究[J].舰船电子工程,2009,29(12):179~182
[7]李文刚,金玉姬,高锐.水平地震激励下储罐液体晃动分析[J].自然灾害学报,2007,16(2):138~142
[8]Srivatsan Chakravarthy,Rajeev Sharma,RangacharKasturi.Fellow,IEEE[J].Noncontact Level SensingTechnique Using Computer Vision,2002,51(2):353~361
[9]滕素珍,冯敬海.数理统计学[M].第四版.大连理工大学出版社,2005,4:179~184
[10]Rafael C.Gonzalez,Richard E.Woods,Steven L.Eddins.数字图像处理:MATLAB版[M].阮秋琦,等译.北京:电子工业出版社,2005
[11]周锐,房建成,祝世平.图像测量中光斑尺寸优化及性能分析[J].仪器仪表学报,2000,21(2):177~180
[12]张显亭,陈树越,陈颖鸣.一种改进的复杂场景运动目标检测算法[J].传感技术学报,2009,22(8):1146~1149
[13]肖思兴.复杂场景下的运动目标检测与跟踪算法研究[D].厦门大学硕士学位论文,2009
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