Towards an AI-Driven Platform for Damage Detection in Civil Infrastructure: Understanding Benefits and Stakeholder Needs
Towards an AI-Driven Platform for Damage Detection in Civil Infrastructure: Understanding Benefits and Stakeholder Needs
复制标题
建立人工智能驱动的民用基础设施损坏检测平台：了解利益和利益相关者的需求
DOI：
10.1061/9780784484777.036
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发表时间：
2023
期刊：
影响因子：
--
通讯作者：
Whiteman, Michael
中科院分区：
文献类型：
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作者：
Marin-Artieda, Claudia;Alexander, Quincy;Tezcan, Jale;Whiteman, Michael
联邦和州交通部门、美国陆军工程兵团、电力公司和其他决策者需要有关基础设施状况的准确和及时的信息，以优先考虑投资决策。目前，还没有广泛适用的自动化工具来提供有关结构健康的及时信息。人工智能（AI）为概念化和实施数据驱动和物理信息的结构健康监测（SHM）策略提供了前瞻性的视角，以克服传统方法中的一些挑战。2020年9月，美国国家科学基金会资助了一个项目，用于演示人工智能驱动的SHM平台的概念验证。项目团队与潜在的最终用户和决策者进行了互动，以确定在人工智能驱动的SHM平台中需要考虑的重要方面。本文总结了从利益相关者那里收到的反馈，并提出了项目的初步结果，作为概念的证明。
Federal and state departments of transportation, the US Army Corps of Engineers, electric utility companies, and other decision-makers need accurate and timely information about the condition of infrastructure to prioritize investment decisions. Currently, there are no broadly applicable automated tools to provide timely information about structural health. Artificial intelligence (AI) provides a forward-looking perspective to conceptualize and implement a data-driven and physics-informed structural health monitoring (SHM) strategy to overcome some of the challenges in traditional approaches. In September 2020, the National Science Foundation funded a project to demonstrate the proof-of-concept of an AI-driven SHM platform. The project team interacted with potential end-users and decision-makers to identify important aspects to consider in an AI-driven SHM platform. This paper summarizes the feedback received from the stakeholders and presents the project's preliminary results that serve as proof of concept.