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基于图像处理的水平螺旋钻导向增强自动系统

Enhanced Automated Guidance System for Horizontal Auger Boring Based on Image Processing.

作者信息

Wu Lingling, Wen Guojun, Wang Yudan, Huang Lei, Zhou Jiang

机构信息

School of Mechanical & Electronic Information, China University of Geosciences, Wuhan 430074, China.

Shandong Institute of Space Electronic Technology, Yantai 264670, China.

出版信息

Sensors (Basel). 2018 Feb 15;18(2):595. doi: 10.3390/s18020595.

DOI:10.3390/s18020595
PMID:29462855
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5855044/
Abstract

Horizontal auger boring (HAB) is a widely used trenchless technology for the high-accuracy installation of gravity or pressure pipelines on line and grade. Differing from other pipeline installations, HAB requires a more precise and automated guidance system for use in a practical project. This paper proposes an economic and enhanced automated optical guidance system, based on optimization research of light-emitting diode (LED) light target and five automated image processing bore-path deviation algorithms. An LED light target was optimized for many qualities, including light color, filter plate color, luminous intensity, and LED layout. The image preprocessing algorithm, direction location algorithm, angle measurement algorithm, deflection detection algorithm, and auto-focus algorithm, compiled in MATLAB, are used to automate image processing for deflection computing and judging. After multiple indoor experiments, this guidance system is applied in a project of hot water pipeline installation, with accuracy controlled within 2 mm in 48-m distance, providing accurate line and grade controls and verifying the feasibility and reliability of the guidance system.

摘要

水平螺旋钻进（HAB）是一种广泛应用的非开挖技术，用于高精度地在线路和坡度上安装重力或压力管道。与其他管道安装不同，HAB在实际项目中需要更精确和自动化的导向系统。本文基于发光二极管（LED）光靶和五种自动图像处理钻孔路径偏差算法的优化研究，提出了一种经济且增强的自动光学导向系统。对LED光靶的多种特性进行了优化，包括光颜色、滤光板颜色、发光强度和LED布局。用MATLAB编写的图像预处理算法、方向定位算法、角度测量算法、挠度检测算法和自动对焦算法，用于对图像进行自动化处理，以计算和判断挠度。经过多次室内实验后，该导向系统应用于热水管道安装项目，在48米距离内精度控制在2毫米以内，提供了精确的线路和坡度控制，验证了导向系统的可行性和可靠性。

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