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.***

设想的是一个自动化系统，它可以弥合真实现场条件和虚拟世界之间的差距，涉及新建和翻新的室内施工，由于有限空间的拥堵、可变的光照条件和持续的影响，自动跟踪尤其困难。在工作日结束时，设想的系统将检查施工项目的数字设计和进度模型（称为 4D 建筑信息模型或 4D-BIM），以确定进度和质量检查的位置并确定优先级。确定最为了建立访问每个地点的有效路径，将派遣无人机（UAV）专门针对室内环境开发创新的无人机导航系统，以允许无人机自主、弹性和安全地操作，从而使无人机知道它在哪里。所提取的有关施工进度的位置、数量和质量的信息将被传送回 4D-BIM。信息可以可视化这种循环过程在整个施工阶段持续进行，并确保将现实世界条件顺利、可互操作和准确地集成到设计模型中。与该提案相关的研究挑战是开发和集成。有限空间中无人机的自主导航系统、实时路径规划和数据捕获优先级方法以及与可视化工具进行通信的通用软件独立框架。****这项跨学科研究的成果可以提高技术的可及性现场的项目经理。允许用户直接与 BIM 设计交互并进行更改，例如通过数字洞穴或谷歌眼镜等沉浸式环境移动或改变门的摆动方向，跟踪进度状态是令人兴奋的。在建筑领域——已建成的和未建成的——可以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业主和承包商。简化数据的收集、分析和可视化施工数据.***