基于机器视觉的井喷液柱高度测量方法研究

Research on the height measurement method of blowout liquid column based on machine vision

井喷液柱高度精准预测是制定油气井井喷救援方案的重要指导依据。为满足无参照物、无测量间距的井喷液柱高度测量需求,提出了一种基于机器视觉的井喷液柱高度优化测量方法。首先通过双目视差原理获取井喷液柱像素当量,然后采用颜色与形状的组合图像分割方法得到井喷液柱的轮廓,最终查找图像分割结果的边界得到井喷液柱高度。同时,设计井喷模拟装置开展多场景井喷液柱高度模拟室外实验,与机器视觉测量方法进行对比验证。研究发现:改进的机器视觉测量方法在颜色与边界双向干扰的情况下最大相对误差不高于5.36%,测量准确度满足井喷救援抢险需求,为井喷救援工作方案的制定提供了有力的工程指导依据。

The height of the blowout liquid column is an important parameter in the formulation of the blowout rescue plan.In order to meet the requirements of measuring the height of the blowout liquid column without reference,shooting distance,an optimal measurement method based on machine vision was proposed.Firstly,the pixel equivalent is obtained by using binocular parallax principle,then the combined image segmentation method of color and shape is used to obtain the contour of the blowout liquid column.Finally,the height of the blowout liquid column is calculated according to the boundary of the image segmentation results.At the same time,the blowout simulation device is designed to carry out the outdoor experiment of multi scene blowout liquid column height simulation,which is compared with the machine vision measurement method.The study found that:the improved machine vision measurement method in the case of color and boundary bi-directional interference maximum relative error is not higher than 5.36%,measurement accuracy to meet the well blowout rescue and rescue needs,to provide a strong engineering guidance basis for the development of the well blowout rescue work plan.