压裂支撑剂圆度球度测定方法研究

Research on measurement of sphericity and roundness of proppant

圆度和球度是压裂支撑剂的2个重要参数,直接影响着压裂支撑剂的质量。为了减轻人的劳动强度,自动并精确地测量压裂支撑剂的这2个参数,提出了基于计算机图像处理技术的压裂支撑剂圆度球度测量方法。首先通过显微镜成像方法得到压裂支撑剂的数字图像,然后利用图像处理技术对颗粒图像进行边缘检测,求得每个颗粒的面积和周长,并计算出每个颗粒的最大内接圆和最小外接圆,再次,通过角点检测方法检测出每个颗粒的角点,并计算每个角点的曲率,最后在以上参数的基础上通过算法估算出每个颗粒的圆度和球度。通过实际压裂支撑剂颗粒实验发现,本文算法得到的圆度和球度值与依据模板对比得到的圆度和球度值基本吻合,为实现压裂支撑剂质量评定的自动化奠定了基础。

Roundness and sphericity are two important parameters of proppants which directly affects the quality of proppants. In order to reduce labor intensity and measure these two parameters of proppants automatically and accurately, a measurement method based on computer image processing technology is proposed. Firstly, a digital image of proppants can be obtained through microscope imaging method. Secondly, image processing methods are used for edge detection of proppants, the area and the perimeter of each proppant are computed, and the maximum inscribed circle and minimum circumscribed circle of each proppant are both figured out. Thirdly, corner detection method is used to find corners of each proppant, meanwhile, curvature of each corner is computed. Finally, based on parameters obtained above, an algorithm is used to estimate the roundness and sphericity of each proppant. Through actual proppants＇ experiments, roundness and sphericity of each proppant obtained by proposed algorithm is consistent with those obtained by contrast based on standard template. The experimental results show that the proposed method is effective, which lay a solid foundation for automatic quality assessment of proppants, his paper presents a method of license plate character recognition based on the combination of Zernike moment and wavelet transformation features.