基于图像动态纹理特征的气固流化床流型识别

准确识别流型是气固流化床二相流参数检测的重要内容,文中提出一种基于图像光流法和动态纹理特征相 结合的气固流化床流型识别的新方法.实验是在气固流化床二相流实验系统上利用高速摄影系统获取流型图像.流型图像分别为鼓泡床,节涌床,湍动床,快速流化床,稀相输送等5种典型流型.首先对获取的不同流型图像分别进行去噪和对比度拉伸...

Flow regime identification of gas-solid fluidized bed based on images dynamic texture characteristics

The exact identification of flow regime is an important content to detect the parameters of gas-solid two-phase flow fluidized bed.A new flow regime identification method based on images optical flow technique and dynamic texture was proposed.The experiment was conducted on gas-solid fluidized bed system and the flow images were captured by a high speed photography system.The flow images are of five typical regimes of gas-solid two-phase flow fluidized bed,including bubbling bed,slugging bed,turbulent bed,wall pressing flow,and thin phase conveying.First,the different flow images captured were pretreated by denoising and contrast stretching,then,optical flow technique was used to get the optical flow field of continuous two frames images.The image dynamic texture characteristics were extracted by gray level co-occurrence matrix,regarded as input variable.Those samples were separately sent to elasticity BP neural net,Elman neural net and BP neural net work for optimization.Thus the image texture eigenvectors of flow regime were identified.The experimental results show that the combination between dynamic textures and elasticity BP neural net can more effectively identify the five typical regimes of gas-solid two-phase flow fluidized bed.The whole identification accuracy is 98%,opening up a new avenue of flow pattern recognition.