Development of next-generation methodologies of resource scheduling, augmented reality visualization, and resource tracking for construction project management

开发用于建设项目管理的下一代资源调度、增强现实可视化和资源跟踪方法

• 批准号: 405636-2011
• 负责人: Lu, Ming
• 金额: $ 1.46万
• 依托单位: University of Alberta
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2011
• 资助国家: 加拿大
• 起止时间: 2011-01-01 至 2012-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=488735
• 关键词: Development; next; generation; methodologies; resource

4D modeling (3D CAD plus time) and building information modeling (BIM) technologies will turn mainstream in the construction industry in the foreseeable future. Yet, their application effectiveness in construction engineering largely hinges on development of cost-effective, dynamic-data-driven methodologies for scheduling, tracking, and visualizing construction resources. In order to cater for application needs in planning and control of construction projects, the present research is intended to develop next-generation methodologies for scheduling, tracking, positioning, real-time 3D modeling of critical construction resources on site, including heavy equipment, materials, laborers and tools. This research is proposed based on the PI's previous research achievements in (1) advancing critical path method for construction scheduling; (2) applying robotic total station to track and position tunnel boring machine during microtunneling and pipe-jacking; and (3) utilizing digital camera and photogrammetry to realize augmented reality (AR) visualization for subsurface infrastructure construction. The research will combine various real-time computing analyses with advanced technologies for surveying automation and data communications. It is anticipated (1) the resulting resource scheduling analysis will address fundamental limitations inherent in established project scheduling methodologies; (2) implementation of the resource allocation plan derived from scheduling analysis can be closely monitored and dynamically adjusted to actual site situations; and (3) the state of resource deployment and utilization can be mapped in AR visualization in real time- which is also instrumental in improving efficiency, safety, and job costing onsite. With this grant, the PI will leverage existing strengths and contribute to establishing a more broadly based construction research program at the U of A. In the long run, this research will lay a solid foundation for future development and deployment of an engineering-analysis-integrated, dynamic-data-driven platform for construction engineering and project management.

在可预见的未来，4D建模（3D CAD加上时间）和建筑信息建模（BIM）技术将成为建筑行业的主流。然而，它们在建筑工程中的应用效果在很大程度上取决于开发具有成本效益的、动态数据驱动的方法来调度、跟踪和可视化施工资源。为了满足施工项目规划和控制的应用需求，本研究旨在开发下一代方法，用于调度，跟踪，定位，现场关键施工资源的实时3D建模，包括重型设备，材料，劳动力和工具。本研究是基于PI先前的研究成果提出的：（1）提出施工进度计划的关键路径法;（2）应用机器人全站仪跟踪和定位隧道掘进机在微型隧道和管道顶进过程中;（3）利用数码相机和摄影测量技术实现地下基础设施施工的增强现实（AR）可视化。该研究将把各种实时计算分析与测量自动化和数据通信的先进技术相结合。预计（1）由此产生的资源调度分析将解决既定项目调度方法中固有的基本局限性;（2）可以密切监测从调度分析得出的资源分配计划的执行情况，并根据实际现场情况进行动态调整;以及（3）可以在AR可视化中真实的实时地映射资源部署和利用的状态-这也有助于提高效率，安全性，和现场工作成本有了这笔赠款，PI将利用现有的优势，并有助于建立一个更广泛的建筑研究计划在A的U。从长远来看，本研究将为未来开发和部署一个工程分析集成的，动态数据驱动的建设工程和项目管理平台奠定坚实的基础。