图像识别技术在井架吊装运动测量中的应用

发布时间：2018-03-25 10:53

  本文选题：海洋平台　切入点：吊装作业　出处：《哈尔滨工程大学学报》2017年11期

【摘要】：为了保证海洋钻井平台井架吊装过程的安全性,本文基于机器视觉的图像识别技术,开展了井架吊装运动的非接触测量方法研究。该方法以归一化的图像灰度信息为基础,采用模板匹配算法进行图像匹配;在此基础上,根据图像像素距离和特征长度的比尺确定动态目标的运动位移;根据海洋石油981平台的井架吊装方案,制定了井架运动测量方案,完成了基于图像识别技术的井架吊装过程的运动状态监测。研究结果表明:基于图像识别技术的测量精度满足井架吊装运动测量需求,保证井架吊装的安全性。研究拓宽了图像识别技术的应用领域,建立的测量方法可用于船舶与海洋工程领域其他大型分段和设备的吊装运动测量。
[Abstract]:In order to ensure the safety of Derrick hoisting process of offshore drilling platform, the non-contact measurement method of Derrick hoisting motion is studied based on the image recognition technology of machine vision. The method is based on normalized image grayscale information. Based on the template matching algorithm, the moving displacement of the dynamic target is determined according to the scale of pixel distance and feature length of the image, and the Derrick hoisting scheme of the offshore oil 981 platform is adopted. The motion measurement scheme of Derrick is established, and the motion state monitoring of Derrick hoisting process based on image recognition technology is completed. The research results show that the measurement accuracy based on image recognition technology can meet the requirements of Derrick hoisting motion measurement. In order to ensure the safety of Derrick hoisting, the research broadens the application field of image recognition technology, and the established measurement method can be used to measure the hoisting motion of ships and other large-scale subsections and equipment in marine engineering field.
【作者单位】： 哈尔滨理工大学自动化学院;上海海事大学海洋科学与工程学院;哈尔滨工程大学青岛船舶科技有限公司;上海外高桥造船有限公司;
【基金】：国家高技术研究发展计划项目(2006AA09A103-6)
【分类号】：TE951;TP391.41
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本文编号：1662804