Enhanced Automated Guidance System for Horizontal Auger Boring Based on Image Processing
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 pape...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2018-02-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1424-8220/18/2/595 |
| _version_ | 1811184993472348160 |
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| author | Lingling Wu Guojun Wen Yudan Wang Lei Huang Jiang Zhou |
| author_facet | Lingling Wu Guojun Wen Yudan Wang Lei Huang Jiang Zhou |
| author_sort | Lingling Wu |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-11T13:22:48Z |
| format | Article |
| id | doaj.art-d5965e813b0e4e2bace2519d76e8b72a |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T13:22:48Z |
| publishDate | 2018-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-d5965e813b0e4e2bace2519d76e8b72a2022-12-22T04:22:10ZengMDPI AGSensors1424-82202018-02-0118259510.3390/s18020595s18020595Enhanced Automated Guidance System for Horizontal Auger Boring Based on Image ProcessingLingling Wu0Guojun Wen1Yudan Wang2Lei Huang3Jiang Zhou4School of Mechanical & Electronic Information, China University of Geosciences, Wuhan 430074, ChinaSchool of Mechanical & Electronic Information, China University of Geosciences, Wuhan 430074, ChinaSchool of Mechanical & Electronic Information, China University of Geosciences, Wuhan 430074, ChinaShandong Institute of Space Electronic Technology, Yantai 264670, ChinaSchool of Mechanical & Electronic Information, China University of Geosciences, Wuhan 430074, ChinaHorizontal 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.http://www.mdpi.com/1424-8220/18/2/595trenchlessimage processingguidance systemauto-focus |
| spellingShingle | Lingling Wu Guojun Wen Yudan Wang Lei Huang Jiang Zhou Enhanced Automated Guidance System for Horizontal Auger Boring Based on Image Processing Sensors trenchless image processing guidance system auto-focus |
| title | Enhanced Automated Guidance System for Horizontal Auger Boring Based on Image Processing |
| title_full | Enhanced Automated Guidance System for Horizontal Auger Boring Based on Image Processing |
| title_fullStr | Enhanced Automated Guidance System for Horizontal Auger Boring Based on Image Processing |
| title_full_unstemmed | Enhanced Automated Guidance System for Horizontal Auger Boring Based on Image Processing |
| title_short | Enhanced Automated Guidance System for Horizontal Auger Boring Based on Image Processing |
| title_sort | enhanced automated guidance system for horizontal auger boring based on image processing |
| topic | trenchless image processing guidance system auto-focus |
| url | http://www.mdpi.com/1424-8220/18/2/595 |
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