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Grant: Alliance Grants

Ryerson University

$250,000.00

Smart Campus Integrated Platform Development

FY 2020-21

Summary
Ryerson University researchers and FuseForward Solutions Group are collaborating to develop an cloud-hosted Digital Twin (DT) for the Ryerson University campus. This Digital Twin will serve as a simulation and visualization environment for all campus data, combining the campus buildings, supporting physical infrastructure, and mobility systems into a common interface. This will allow campus managers and other end-users to a) observe the current and historical behavior of the campus, b) identify irregular behavior or potential issues, and c) perform feasiblity and "what-if" analyses to test new campus strategies, such as emergency response, energy management, etc. Several new technologies will be required to develop this DT: 1) A comprehensive data structure that integrates a breadth of data from four domains: Smart Buildings, Smart Infrastructure, Smart Transportation, and Remote Sensing to create a scalable approach for Smart Cities 2) New technologies to identify the optimal locations of sensors for data gathering and to stitch together data from adjacent sensors to create a seamless 'view' of the campus 3) New remote sensing technologies using unmanned aerial vehicles (drones), person-mounted equipment, and vehicle-mounted equipment to gather campus physical information (both indoor and outdoor) and use it to create 3D models. sensor networks to create 4) Machine learning algorithms to classify and predict events, using sensor and other campus system data in near-real-time. 5) Development of an approach to large, multidisciplinary DT development, demonstrated using the Ryerson Campus, that can serve as an intermediate step to developing DTs at the city or neighbourhood scale. Together, the knowledge generated from this project will develop a suite of applications that can be integrated into a common solution to optimize energy efficiency, maintain a safe environment for pedestrians, identify and flag potential hazards or security threats, identify equipment malfunction or building structural degradation, and other similar applications to reduce building operational costs while protecting public safety and the environment.
Program
Alliance Grants
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
544569-2019
Name nom
McArthur, Jennifer
Department département
Architectural Science
Organization id
43
Institution établissement
Ryerson University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2020
Competition year année de concours
2019
Award amount
250000
Program id
ALLRP
Program name en
Alliance Grants
Program name fr
Subventions Alliance
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
1001
Area of application group en
Northern development
Area of application group fr
Développement du nord
Area of application en
Construction, transportation and communications
Area of application fr
Construction, transports et communications
Research subject code
1000
Research subject group en
Civil engineering
Research subject group fr
Génie civil
Research subject en
Civil engineering
Research subject fr
Génie civil
Installment
inst:2 - 2
Partie
1
Nb partie
2
Application title
Smart Campus Integrated Platform Development
Keyword
NSERC
Application summary
Ryerson University researchers and FuseForward Solutions Group are collaborating to develop an cloud-hosted Digital Twin (DT) for the Ryerson University campus. This Digital Twin will serve as a simulation and visualization environment for all campus data, combining the campus buildings, supporting physical infrastructure, and mobility systems into a common interface. This will allow campus managers and other end-users to a) observe the current and historical behavior of the campus, b) identify irregular behavior or potential issues, and c) perform feasiblity and "what-if" analyses to test new campus strategies, such as emergency response, energy management, etc. Several new technologies will be required to develop this DT: 1) A comprehensive data structure that integrates a breadth of data from four domains: Smart Buildings, Smart Infrastructure, Smart Transportation, and Remote Sensing to create a scalable approach for Smart Cities 2) New technologies to identify the optimal locations of sensors for data gathering and to stitch together data from adjacent sensors to create a seamless 'view' of the campus 3) New remote sensing technologies using unmanned aerial vehicles (drones), person-mounted equipment, and vehicle-mounted equipment to gather campus physical information (both indoor and outdoor) and use it to create 3D models. sensor networks to create 4) Machine learning algorithms to classify and predict events, using sensor and other campus system data in near-real-time. 5) Development of an approach to large, multidisciplinary DT development, demonstrated using the Ryerson Campus, that can serve as an intermediate step to developing DTs at the city or neighbourhood scale. Together, the knowledge generated from this project will develop a suite of applications that can be integrated into a common solution to optimize energy efficiency, maintain a safe environment for pedestrians, identify and flag potential hazards or security threats, identify equipment malfunction or building structural degradation, and other similar applications to reduce building operational costs while protecting public safety and the environment.