Grant: Alliance Grants
University of British Columbia
$483,080.00
MICRO-BODD: A Miniaturized Intelligent Construction Robot for Optimal Building Operations and Defect Detection
FY 2022-23
Summary
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.
Program
Alliance Grants
Recipient
Location
British Columbia, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
577219-2022
Name nom
Zou, Zhengbo Z
Department département
Civil Engineering
Organization id
2
Institution établissement
University of British Columbia
Province en
British Columbia
Province fr
Colombie-Britannique
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2022
Competition year année de concours
2022
Award amount
483080
Program id
ALLRP
Program name en
Alliance Grants
Program name fr
Subventions Alliance
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
306
Area of application group en
Energy resources
Area of application group fr
Ressources d'énergie
Area of application en
Energy efficiency
Area of application fr
Efficacité énergétique
Research subject code
1001
Research subject group en
Civil engineering
Research subject group fr
Génie civil
Research subject en
Construction engineering and management
Research subject fr
Génie et gestion du bâtiment
Installment
inst:1;2
Partie
2
Nb partie
2
Application title
MICRO-BODD: A Miniaturized Intelligent Construction Robot for Optimal Building Operations and Defect Detection
Application summary
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.