Automated and Integrated Decision Support System for Tunnel Construction

隧道建设自动化综合决策支持系统

• 批准号: 532148-2018
• 负责人: AbouRizk, Simaan
• 金额: $ 2.91万
• 依托单位: University of Alberta
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 财政年份: 2021
• 资助国家: 加拿大
• 起止时间: 2021-01-01 至 2022-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=719735
• 关键词: Automated; Integrated; Decision; Support; System

To meet the requirements of urbanization, tunneling projects are being undertaken to enlarge underground infrastructure systems. The success of a tunneling project not only depends on the performance of tunneling equipment, but also on the subjective actions and decisions taken by experienced personnel as well as a myriad of unforeseen factors and events associated with tunneling operations. The number and unpredictability of these factors results in considerable project uncertainty, making it difficult for practitioners to determine the most effective course of action following deviations from project baselines or an unanticipated event. Attempts to capture project information have resulted in the widespread implementation of data collection systems throughout the tunneling industry. Despite collecting vast amounts of data, however, practitioners continue to struggle with the transformation of these data into usable information for improved tunneling project performance. Indeed, without systems capable of automatically combining, analyzing, and transforming data into a format that is easily interpretable, decision-making will continue to rely primarily on the subjective decisions of practitioners.The proposed work will combine our research team's academic strength in simulation-based analytics and geotechnical engineering with the practical knowledge and experience of our industrial collaborator to develop a new, decision-support framework for tunnel construction that is capable of integrating project, equipment, ground, and behavioral data, in real-time, to effectively and rapidly redirect tunneling operations in response to project irregularities or deviations. In addition to enhancing tunneling operations, this work is expected to provide new insights into the modeling of operational behavior in the construction decision-support domain.

为了满足城市化的要求，正在进行隧道工程以扩大地下基础设施系统。隧道工程的成功不仅取决于隧道设备的性能，还取决于经验丰富的人员的主观行动和决策，以及与隧道施工相关的无数不可预见的因素和事件。这些因素的数量和不可预测性导致项目存在相当大的不确定性，使从业人员难以在偏离项目基线或发生意外事件后确定最有效的行动方针。捕获项目信息的尝试已经导致数据收集系统在整个隧道行业的广泛实施。尽管收集了大量的数据，然而，从业人员继续努力将这些数据转化为有用的信息，以提高隧道工程的性能。事实上，如果没有能够自动组合、分析和将数据转换为易于解释的格式的系统，决策将继续主要依赖于从业人员的主观决定。拟议的工作将结合联合收割机我们的研究团队在基于模拟的分析和岩土工程方面的学术实力与我们的工业合作者的实践知识和经验，隧道施工的决策支持框架，能够实时集成项目、设备、地面和行为数据，以有效和快速地重新定向隧道施工，以应对项目的不规则性或偏差。除了加强隧道施工作业，这项工作预计将提供新的见解，在施工决策支持领域的操作行为建模。