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Sensors 2018, 18(2), 595; https://doi.org/10.3390/s18020595

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

1
School of Mechanical & Electronic Information, China University of Geosciences, Wuhan 430074, China
2
Shandong Institute of Space Electronic Technology, Yantai 264670, China
*
Author to whom correspondence should be addressed.
Received: 18 December 2017 / Revised: 6 February 2018 / Accepted: 8 February 2018 / Published: 15 February 2018
(This article belongs to the Section Physical Sensors)
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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. View Full-Text
Keywords: trenchless; image processing; guidance system; auto-focus trenchless; image processing; guidance system; auto-focus
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Wu, L.; Wen, G.; Wang, Y.; Huang, L.; Zhou, J. Enhanced Automated Guidance System for Horizontal Auger Boring Based on Image Processing. Sensors 2018, 18, 595.

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