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

机译:基于图像处理的水平螺旋钻机自动化引导系统

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摘要

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.
机译:卧式螺旋钻(HAB)是一种广泛使用的挖掘技术,用于高精度安装重力或压力管道在线和等级。与其他管道安装不同,HAB需要更精确和自动化的引导系统,以便在实际项目中使用。本文提出了一种经济和增强的自动化光学引导系统,基于发光二极管(LED)光目标的优化研究和五种自动图像处理钻孔路径偏差算法。 LED光目标针对许多品质进行了优化,包括浅色,滤板颜色,发光强度和LED布局。 Matlab编译的图像预处理算法,方向定位算法,角度测量算法,偏转检测算法和自动对焦算法用于自动化偏转计算和判断的图像处理。经过多次室内实验后,该引导系统应用于热水管道安装的项目,精度控制在48米距离的2毫米内,提供准确的线路和等级控制,并验证引导系统的可行性和可靠性。

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