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Grant: Applied Research and Development Grants - Level 1

Lambton College of Applied Arts and Technology

$25,000.00

Building Automation Potable Water Sensor Analytics and Support / Diagnostics Protocol

EF 2017-18

Résumé
Currently water leaks in buildings are poorly detected and water usage is monitored irregularly or only for the building as a whole.Water leaks in particular in multi-unit buildings have caused significant rise in insurance premiums. In order for many condodevelopments to obtain insurance, devices to detect and control leakages are required.Instantia Lab Inc.s (Instantia) located in St. Catherines developed a water sensor that detects and monitors leaks, water qualityas well as consumption in a real time manner utilizing the concept of internet of things technology along with the development,aggregation and analysis of big data. The developed sensor has wide application potential and can be placed in individual homes,residential buildings/complexes or commercial complexes. The sensor can be controlled by a single manager or by each individualbuilding/unit owner through a cloud services platform.Lambton College has partnered with Instantia to focus on machine learning algorithms that will develop an understanding of dataaggregated in the data base by developing an extensive database and mobile dashboard platform that serves both the end user(consumer) and customers seeking to access the data aggregation and analytics services. The data will be able to pinpoint whatwater leakage occurring in each building or residential/commercial unit based on the meta data gathered upon the setup of asensor. The results of this project will create revenue for Instantia, enhancing their existing product as well as a providing solutionsfor those who are required or want to monitor leaks..Ontario
Programme
Applied Research and Development Grants - Level 1
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
515787-2017
Name nom
Sheikhzadeh, Mehdi
Department département
Head Office
Organization id
26621
Institution établissement
Lambton College of Applied Arts and Technology
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2017
Competition year année de concours
2017
Award amount
25000
Program id
CARD1
Program name en
Applied Research and Development Grants - Level 1
Program name fr
Subventions de recherche et développement appliquée - niveau 1
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
1561
Committee name en
Applied Research and Development Grants
Committee name fr
Subventions de recherche et développement appliquée
Area of application code
9999
Area of application group en
Not available
Area of application group fr
Non disponible
Area of application en
Not available
Area of application fr
Non disponible
Research subject code
9999
Research subject group en
Not available
Research subject group fr
Non disponible
Research subject en
Not available
Research subject fr
Non disponible
Partie
1
Nb partie
1
Application title
Building Automation Potable Water Sensor Analytics and Support / Diagnostics Protocol
Keyword
NSERC
Application summary
Currently water leaks in buildings are poorly detected and water usage is monitored irregularly or only for the building as a whole.Water leaks in particular in multi-unit buildings have caused significant rise in insurance premiums. In order for many condodevelopments to obtain insurance, devices to detect and control leakages are required.Instantia Lab Inc.s (Instantia) located in St. Catherines developed a water sensor that detects and monitors leaks, water qualityas well as consumption in a real time manner utilizing the concept of internet of things technology along with the development,aggregation and analysis of big data. The developed sensor has wide application potential and can be placed in individual homes,residential buildings/complexes or commercial complexes. The sensor can be controlled by a single manager or by each individualbuilding/unit owner through a cloud services platform.Lambton College has partnered with Instantia to focus on machine learning algorithms that will develop an understanding of dataaggregated in the data base by developing an extensive database and mobile dashboard platform that serves both the end user(consumer) and customers seeking to access the data aggregation and analytics services. The data will be able to pinpoint whatwater leakage occurring in each building or residential/commercial unit based on the meta data gathered upon the setup of asensor. The results of this project will create revenue for Instantia, enhancing their existing product as well as a providing solutionsfor those who are required or want to monitor leaks..Ontario