I-Corps: Interoperable Building Information Modeling and Construction of Robotic Systems for Building Construction Automation

I-Corps：可互操作的建筑信息建模和建筑施工自动化机器人系统的构建

• 批准号: 2231160
• 负责人: Jiansong Zhang
• 金额: $ 5万
• 依托单位: Purdue University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-08-01 至 2024-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2231160&HistoricalAwards=false
• 关键词: Corps; Interoperable; Building; Information; Modeling

The broader impact/commercial potential of this I-Corps project is the development of a software technology that analyzes and plans construction automation. The productivity of the construction industry has stagnated and there is a critical skilled workforce shortage. The proposed technology seeks to more effectively harness the benefits and facilitate the adoption of robotics and automation in construction. This efficiency may boost the overall productivity of the architecture, engineering, and construction (AEC) industry and relieve some of the strain imposed by the current workforce shortage. Potential customers of the proposed technology include, but are not limited to, building designers, construction planners, contractors, subcontractors, and manufacturers of the off-site constructed (pre-fabricated) components of a building. Construction automation is a significant market sector; for example, the drywall installation market is estimated at $25 billion annually. The proposed technology is targeted at the construction automation market, especially wood framing and drywall installation applications.This I-Corps project is based on the development of a technology that leverages a logic-based approach for the analysis and simulation of construction tasks in downstream applications. The proposed technology seeks to provide input for robotic simulations by analyzing the constructability of the building design using simulated construction operations based on selected robotic systems, which can be off-the-shelf or redesigned/customized. Research results on logic representation and reasoning used to extract, classify, filter, and infer the target information from Industry Foundation Classes (IFC)-based building information models form the basis of the technology. The proposed technology may provide a way to automatically analyze building information modeling (BIM)-based building designs and infer construction level information through logic representation and reasoning. In addition, the algorithms may provide a useful tool to generate information automatically from BIM as input for robotic system analysis of construction automation. An end-effector system is provided to facilitate the use of industrial robotic arms in timber framing and drywall installation construction operations.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

这个I-Corps项目的更广泛的影响/商业潜力是开发一种分析和规划建筑自动化的软件技术。建筑业的生产力停滞不前，熟练劳动力严重短缺。拟议的技术旨在更有效地利用这些好处，并促进在建筑中采用机器人和自动化。这种效率可能会提高建筑、工程和建筑（AEC）行业的整体生产率，并缓解当前劳动力短缺带来的一些压力。拟议技术的潜在客户包括但不限于建筑设计师、建筑规划者、承包商、分包商和建筑非现场建造（预制）组件的制造商。建筑自动化是一个重要的市场领域；例如，干墙安装市场估计每年为250亿美元。提出的技术是针对建筑自动化市场，特别是木框架和干墙安装应用。I-Corps项目基于一种技术的开发，该技术利用基于逻辑的方法来分析和模拟下游应用中的施工任务。所提出的技术旨在通过使用基于选定机器人系统的模拟施工操作来分析建筑设计的可建造性，从而为机器人模拟提供输入，这些机器人系统可以是现成的，也可以是重新设计/定制的。用于从基于工业基础类（IFC）的建筑信息模型中提取、分类、过滤和推断目标信息的逻辑表示和推理研究成果构成了该技术的基础。提出的技术可以提供一种自动分析基于建筑信息模型（BIM）的建筑设计的方法，并通过逻辑表示和推理推断施工水平信息。此外，这些算法可以提供一个有用的工具，从BIM中自动生成信息，作为建筑自动化机器人系统分析的输入。提供了一个末端执行器系统，以方便在木结构和干墙安装施工作业中使用工业机械臂。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。