Automated data collection in tall building construction

Envisioned是一个自动化系统，可以弥合真实的现场条件和虚拟世界之间的差距。与新建筑和翻新相关的室内建筑尤其难以自动跟踪，部分原因是受限空间的拥挤、可变的光照条件以及不断变化的工作环境。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进度模型，即4D建筑信息模型或4D-BIM，以确定进度和质量检查的位置并对其进行优先排序。在确定访问每个位置的最有效路径后，将派遣无人驾驶飞行器（UAV）。一种创新的无人机导航系统将专门针对室内环境开发，以实现无人机的自主、弹性和安全操作，从而使无人机能够知道它在哪里，它需要去哪里，以及如何有效和安全地到达那里。然后，提取的有关施工进度的位置、数量和质量的信息将传达回4D-BIM。此外，它建议，这些信息可以可视化的动画和交互式显示技术，如数字洞穴。这种循环过程在整个施工阶段持续进行，并确保将真实世界条件顺利、可互操作和准确地集成到设计模型中。与该建议相关的研究挑战是在有限空间中无人机自主导航系统的开发和集成，真实的时间路径规划和数据捕获优先化方法，以及与可视化工具通信的通用软件独立框架。 这种跨学科研究的成果可以提高现场项目经理的技术可及性。允许用户直接与BIM设计进行交互和更改的潜力，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，这是令人兴奋的。跟踪施工进度的状态，什么已经建成，什么还没有建成，可以对建筑业产生重大影响。真实的实时数据可以支持业主和承包商进行基于证据的决策和创新。这一设想的系统将促进全面的态势感知，简化施工数据的收集、分析和可视化。

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.