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

建筑业遭受与建筑工地的后期缺陷检测相关联的昂贵的补救措施。 频繁和准确的现场工作状态的评估，确定关键的时空和质量相关的偏差，并预测这些偏差在施工项目期间的影响是必要的主动项目控制和开发一个准确的项目历史。该研究项目建立在使用激光扫描仪生成3D环境，使用嵌入式传感器收集有关建筑环境的质量信息以及生成和利用语义丰富的建筑/工程/施工（A/E/C）项目模型的基础上，结合并扩展了这些进展，开发了一个集成的早期缺陷检测系统。 研究目标包括：（1）制定策略/机制以利用激光扫描和嵌入式传感器系统来频繁和准确地收集和表示与空间和质量相关的竣工数据，（2）开发用于将从这些系统获得的数据与项目模型集成和解释的机制，（3）开发通用的、灵活的和集成的表示模式以建模产品、过程和竣工信息，以及（4）用于自动化缺陷检测和管理的形式化机制。本研究的预期贡献属于机器人技术，土木工程中的嵌入式传感，A/E/C项目建模和分析领域。 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.