基于流化床气固两相流型图像的多参数检测方法

项目名称： 基于流化床气固两相流型图像的多参数检测方法

项目编号： No.51276033

项目类型： 面上项目

立项/批准年度： 2013

项目学科： 能源与动力工程

项目作者： 周云龙

作者单位： 东北电力大学

项目金额： 80万元

中文摘要： 气固两相流动由于其界面分布的复杂性，被称为"难测流体"，目前对其相关参数的检测尚处于探索阶段。本项目拟采用高速摄影法结合单目立体视觉镜头，可获得流化床气固两相流动的二维/三维图像，利用数字图像处理技术和小波、分形等非线性系统理论提取流型图像的特征，结合模式识别理论实现流型的智能识别；再结合光流分析法等计算机视觉理论，对气固两相流动的流场、速度场以及稀相输送中体积空隙率等流动参数进行检测。最后，仅依靠两相流体的流动图像就可实现多个流动参数的同时检测。本项目对发展多相流参数检测技术、气固两相非线性动力学等学科有重要的理论意义，对指导许多相关设备（电厂的煤粉输送、煤粉燃烧，各式气固两相混合器、气固分离器、有色行业的氧化铝输送，食品行业的面粉输送，建筑行业的水泥输送，化工行业的气固反应器）的设计和安全、稳定、高效运行具有重要的现实意义。

中文关键词： 气固流化床；二维/三维流动图像；图像处理；计算机视觉；参数检测

英文摘要： Because of the complexity of the distribution of the interface, gas-solid two-phase flow are known as the "capricious fluid",and currently on its relevant parameters testing is still in the stage of exploration. This subject will adopt high speed photography method combined with monocular stereo vision camera to obtain the 2D/3D images of fluidized bed of gas-solid two-phase flow. This subject will use digital image processing techniques , wavelet theory, fractal theory and nonlinear system theory to extract the characteristics of the images of flow patterns, combine with pattern recognition theory will realize the intelligent identification of flow patterns;The theories were talked above will be combined with the optical flow analysis and computer vision theories to test the parameters such as the flow field, velocity field and air void volume of rare phase in conveying flow parameters of the gas-solid two-phase flow.Finally, rely on two phase fluid flow image can implement multiple flow parameters'testing.This subject is of important theoretical significance on the development of multiphase flow parameters testing technology and the study on the nonlinear dynamics of gas-solid two-phase flow. It also be of important practical significance on guiding many related equipments' (power plant of coal powder conveyin

英文关键词： gas-solid fluidized bed；2D/3D flow images；image processing；computer vision；parameter detection