DEVELOPMENT OF AN AUTOPILOT MODEL FOR SHIELD TUNNELING MACHINES BY MACHINE LEARNING
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- KUBOTA Yasuyuki
- 株式会社熊谷組 土木事業本部 ICT推進室
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- YABUKI Nobuyoshi
- 大阪大学 大学院工学研究科 環境エネルギー工学専攻
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- FUKUDA Tomohiro
- 大阪大学 大学院工学研究科 環境エネルギー工学専攻
Bibliographic Information
- Other Title
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- 機械学習を用いたシールドマシンの自動操縦モデルの開発
Abstract
<p> Although a shield tunneling machine should excavate a tunnel along its planned alignment, deviations occur between the planned alignment and the actual result. When this happens, it is necessary to draw a target alignment that returns deviations to the planned alignment gradually and to excavate with the shield machine along the target alignment. These operations are controlled by skilled engineers and trial-and-error operations, and labor-saving is an issue. In addition, skilled excavation managers and operators are aging, their skills may be lost in the near future. Therefore, machine learning is expected to play an important role in automating the operation of shield tunneling machines. However, related studies have been unable to automatically calculate the optimum operation parameters for excavation along the target alignment. Therefore, this study sought to use machine learning to develop an autopilot model, which is a method to automatically calculate optimal operation parameters of the shield machine for the straight section of a planned alignment.</p>
Journal
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- Journal of Japan Society of Civil Engineers, Ser. F3 (Civil Engineering Informatics)
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Journal of Japan Society of Civil Engineers, Ser. F3 (Civil Engineering Informatics) 78 (1), 21-34, 2022
Japan Society of Civil Engineers
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Details 詳細情報について
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- CRID
- 1390011318883187712
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- ISSN
- 21856591
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- Text Lang
- ja
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- Data Source
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- JaLC
- Crossref
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- Abstract License Flag
- Disallowed