MICRO-BODD: A Miniaturized Intelligent Construction Robot for Optimal Building Operations and Defect Detection

MICRO-BODD：用于优化建筑操作和缺陷检测的小型化智能建筑机器人

• 批准号: 577219-2022
• 负责人: Zou, ZhengboZ
• 金额: $ 35.19万
• 依托单位: University of British Columbia
• 依托单位国家: 加拿大
• 项目类别: Alliance Grants
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=749288
• 关键词: MICRO; BODD; Miniaturized; Intelligent; Construction

Buildings are responsible for 25% of energy consumption and 13% of greenhouse gas (GHG) emissions in Canada. Defects in building systems (e.g., leaks and blockages in heating, ventilation, and air conditioning; HVAC) and façades (e.g., thermal bridges) can cause energy losses of up to 30%. Furthermore, construction defects such as broken duct can cause harmful contaminants (e.g., glass fibre) to enter open spaces, negatively impacting occupants' health. To reduce the environmental consequences of the building sector, building owners, facility managers, and municipalities are seeking cost- and time-efficient methods to (1) detect defects in building systems and façades; and (2) use proactive maintenance approaches to reduce energy consumption and GHG emissions. We have assembled an interdisciplinary team of early career researchers with expertise in robotic design and control, building system optimization, life-cycle assessment, sustainable infrastructure management, and human neuroscience to revamp the current processes for building facility management. We will reimagine a future of carbon-neutral buildings through inputs from flexible robots and the intuitive human robot interaction. Our long-term aim is to reduce energy consumption and GHG emission of buildings by developing an automated swarm of robots that (i) navigates in buildings without pre-programmed complex localization systems (ii) identifies defects in the building system (e.g., thermal leaks from HVAC) and façades (e.g., cracks, spalling), (iii) generates a precise map of the building, and (iv) supports proactive decision making and reduces material replacement costs for operations and maintenance. We will work closely with industry partners from the public (e.g., City of Vancouver) and private sectors (e.g., SHAPE Management) to identify their real-world challenges, shape the research directions, and achieve knowledge mobilization across a diverse portfolio of stakeholders.

建筑物造成25％的能源消耗和加拿大的13％的温室气体（GHG）排放。建筑系统的缺陷（例如，加热，通风和空调的泄漏和阻塞； HVAC）和立面（例如，热桥）可能会导致高达30％的能量损失。此外，建筑缺陷（例如破裂的导管）可能会导致有害污染物（例如玻璃纤维）进入开放空间，从而对乘员的健康产生负面影响。为了减少建筑部门的环境后果，建筑所有者，设施经理和文化组织正在寻求成本和时间效率的方法，以（1）检测建筑系统和立面的缺陷； （2）使用积极的维护方法来减少能耗和温室气体排放。我们已经组建了一支由早期职业研究人员组成的跨学科团队，具有机器人设计和控制，建筑系统优化，生命周期评估，可持续基础设施管理和人类神经科学方面的专业知识，以改善当前建筑设施管理过程。我们将通过灵活的机器人和直观的人类机器人相互作用的输入来重新构想碳中性建筑的未来。我们的长期目的是通过开发自动群的机器人来减少建筑物的能源消耗和温室气体排放，该机器人（i）在没有预先编程的复杂定位系统（II）中导航建筑物（例如，HVAC的热泄漏）（例如，HVAC）和FAçades和FAçades和FAçades（例如，裂解，spallies and Isiv of a Protive and Isiv and Isiv of timiv and of），（ii）识别出缺陷（iii spallies and Inive）。制定和降低运营和维护的材料替代成本。我们将与公众（例如温哥华市）和私营部门（例如形状管理）的行业合作伙伴紧密合作，以确定其现实世界中的挑战，塑造研究方向，并实现跨利益相关者的潜水员投资组合的知识动员。