Breaking new ground: Opportunities and challenges in tunnel boring machine operations with integrated management systems and artificial intelligence

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35
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40

초록

Advances in tunnel boring machines (TBM) have leveraged applied artificial intelligence to promote sustainable and automatic tunneling construction. This paper highlights the significance of AI-based management subsystems for automatic TBM operations and presents recent key contributions in the field by identifying three key parallel subsystems: modeling, monitoring, and control. Moreover, each subsystem is evaluated from the standpoint of practical implications. In this context, specific challenges are identified, suggesting research paths that include integrated management systems, and encouraging further investigations into TBM automation by integrating the existing management subsystems from an operational perspective.

키워드

Artificial intelligenceAutomatic tunnelingIntegrated management systemsSmart infrastructure managementTunnel boring machineINDOOR AIR-QUALITYVARIATIONAL AUTOENCODERSENSOR VALIDATIONFAULT-DETECTIONNEURAL-NETWORKSOPTIMIZATIONPREDICTIONDIAGNOSISENERGYRECONSTRUCTION
제목
Breaking new ground: Opportunities and challenges in tunnel boring machine operations with integrated management systems and artificial intelligence
저자
Loy-Benitez, JorgeSong, Myung KyuChoi, Yo-HyunLee, Je-KyumLee, Sean Seungwon
DOI
10.1016/j.autcon.2023.105199
발행일
2024-02
유형
Review
저널명
Automation in Construction
158
페이지
1 ~ 23