ITR/IM+AP Early Defect Detection and Management at Construction Sites Using Integrated Project Models, Laser Scanners and Embedded Sensor Systems

建筑行业因施工现场缺陷检测滞后而遭受昂贵的补救措施。频繁准确地评估在地工作状态，识别关键的时空和质量相关偏差，并预测这些偏差在建设项目期间的影响，对于积极的项目控制和开发准确的项目历史是必要的。该研究项目建立、结合并扩展了以下方面的进展：使用激光扫描仪生成3D环境，使用嵌入式传感器收集建筑环境的质量信息，以及生成和利用语义丰富的架构/工程/施工（A/E/C）项目模型，以开发集成的早期缺陷检测系统。研究目标包括：(1)制定策略/机制，利用激光扫描和嵌入式传感器系统频繁准确地收集和表示空间和质量相关的建成数据；(2)开发机制，将从这些系统获得的数据与项目模型集成和解释；(3)开发通用、灵活和集成的表示模式，对产品、过程和建成信息进行建模；(4)形式化自动缺陷检测和管理的机制。本研究的预期贡献落在机器人技术、土木工程嵌入式传感、A/E/C项目建模和分析等领域。这项研究的社会影响包括可能节省返工和维护成本。

The construction industry suffers from costly remedies associated with late defect detection at construction sites. Frequent and accurate assessment of the status of work-in-place, identifying critical spatio-temporal and quality related deviations, and predicting the impacts of these deviations during a construction project are necessary for active project control and for developing an accurate project history. This research project builds on, combines and extends the advances in generating 3D environments using laser scanners, collecting quality information about built environments using embedded sensors, and generation and utilization of semantically-rich Architecture/Engineering/ Construction (A/E/C) project models, in developing an integrated early defect detection system. The research objectives include: (1) formulating strategies/mechanisms to utilize laser scanning and embedded sensor systems for frequent and accurate collection and representation of spatial and quality related as-built data, (2) developing mechanisms for integrating and interpreting data acquired from these systems with the project model, (3) developing a general, flexible and integrated representation schema to model product, process and as-built information, and (4) formalizing mechanisms for automated defect detection and management. The expected contributions of this research fall within the fields of robotics, embedded sensing in civil engineering, A/E/C project modeling and analysis. The societal impacts of this research include potential savings in rework and maintenance costs.