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An optical measuring method of high temperature clinker layer's thickness

机译：高温熟料层厚度的光学测量方法

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In this paper, we present a method based on CCD offering the advantages of high sensitivity, no electromagnetic interference and non-contact in order to measure the thickness of the cooler precisely in high temperature and dust atrocious condition online with real-time and reliable parameter for the control system. By analyzing the principle of CCD and the histogram on the grey scale distribution on the layer's image, the thickness measuring model based on the image segmentation method is founded. According to the image characters of clinker layer, both image segmentation and filtering methods before or after the segmentation are selected. The camera cooling system is designed particularly considering the situation where the camera and the clinker cooler work. After analyzing the shortcomings of the measuring method, an improved one named stereopsis thickness measuring method is present, by means of firstly setting up the stereopsis thickness measuring model before determining the homonymic dots recognizing model, then to abstract the characteristic vector to analyze the recognizing method to establish the precise analyzing model, and finally to complete the experimental research of the thickness measurement based on the image segmentation in order to test the feasibility and to show the results to all.
机译：在本文中，我们提出了一种基于CCD的方法，该方法具有高灵敏度，无电磁干扰和无接触的优点，以便在高温和粉尘恶劣的条件下在线实时测量冷却器的厚度，并具有实时可靠的参数用于控制系统。通过分析CCD的原理和直方图对层图像灰度分布的影响，建立了基于图像分割方法的测厚模型。根据熟料层的图像特征，选择图像分割和分割之前或之后的滤波方法。相机冷却系统的设计特别考虑了相机和熟料冷却器工作的情况。在分析了测量方法的不足之后，提出了一种改进的立体视厚度测量方法，首先在确定同音点识别模型之前先建立立体视厚度测量模型，然后提取特征向量来分析该识别方法。建立精确的分析模型，最后完成基于图像分割的测厚实验研究，以验证可行性并向所有人展示结果。

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