Automated data collection in tall building construction

高层建筑施工中的自动数据收集

• 批准号: RGPIN-2017-06792
• 负责人: McCabe, Brenda
• 金额: $ 1.53万
• 依托单位: University of Toronto
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=659150
• 关键词: Automated; data; collection; tall; building

Envisioned is an automated system that bridges the gap between real field conditions and the virtual world. Indoor construction, which relates to new construction and renovations, is especially difficult to track automatically due in part to congestion in confined spaces, variable light conditions, and continually changing work environment. At the end of the workday, the envisioned system will examine the digital design and schedule model, known as 4D building information models or 4D-BIMs, of the construction project to identify and prioritize locations for progress and quality inspections. After determining the most efficient path to visit each location, an unmanned aerial vehicles (UAV) will be dispatched. An innovative UAV navigation system will be developed specific to indoor environments to allow autonomous, resilient, and safe operation of UAV, thereby allowing the UAV to know where it is, where it needs to go, and how to get there efficiently and safely. The information extracted about the location, quantity, and quality of progress of construction will then be communicated back to the 4D-BIM. Further, it is proposed that this information can be visualized in animating and interactive display technologies such as digital caves. This cyclic process continues throughout the construction stage and ensures smooth, interoperable, and accurate integration of real-world conditions into design models. The research challenges related to this proposal are the development and integration of an autonomous navigation system for UAV in confined spaces, a real time path planning and data capture prioritization method, and a generalized software-independent framework to communicate with visualization tools.****The outcomes of this interdisciplinary research can improve the accessibility of technology for project managers on the site. The potential to allow the user to directly interact with and make changes in a BIM design, such as moving or changing the direction of swing of a door, through an immersive environment, such as digital caves or google glasses, is exciting. Tracking the state of progress in construction – what has been built and what has not – can have a major impact on the construction industry. Real time data can support the owner and the contractor with evidence-based decision making and innovation. This envisioned system would facilitate complete situational awareness, streamlining collection, analysis, and visualization of construction data.***

Envisioned是一个自动化系统，它弥合了实际田间条件与虚拟世界之间的差距。与新的建筑和改革有关的室内建筑特别难以自动跟踪，部分原因是在狭窄的空间，可变的光线条件以及不断变化的工作环境中的交通拥堵。在工作日结束时，设想的系统将检查建筑项目的数字设计和计划模型，称为4D建筑信息模型或4D BIMS，以识别和优先考虑进度和质量检查的位置。在确定了访问每个位置的最有效途径之后，将派出无人机（UAV）。创新的无人机导航系统将是针对室内环境开发的，以允许无人机的自主，重新且安全的操作，从而允许无人机知道它的位置，需要去的地方以及如何有效，安全地到达那里。然后提取有关施工进度的位置，数量和质量的信息，然后将其传达回4D BIM。此外，建议在动画和交互式显示技术（例如数字洞穴）中可视化这些信息。这种环状过程在整个施工阶段继续进行，并确保将现实世界条件的平滑，互操作和准确整合到设计模型中。与该提案相关的研究挑战是在狭窄空间中为无人机的自主导航系统的开发和集成，实时路径计划和数据捕获优先级方法以及与可视化工具通信的广义独立的框架。允许用户直接与BIM设计进行互动并进行更改的潜力，例如移动或改变门的秋千方向，通过身临其境的环境（例如数字洞穴或Google眼镜）令人兴奋。跟踪建筑进步的状态 - 已经建造和没有建造的东西 - 可能会对建筑行业产生重大影响。实时数据可以通过基于证据的决策和创新来支持所有者和承包商。这种设想的系统将有助于构建数据的完整情境意识，简化收集，分析和可视化。***