Reference number : GC-2017-Q4-01635, amendment number : , agreement type : G, recipient legal name : Sheikhzadeh, Mehdi (Lambton College of Applied Arts and Technology), recipient country : CA, recipient province : nan, recipient city : Ontario, recipient postal code : nan, program name english : Engage Grants for colleges, program name french : Subventions d'engagement partenarial pour les collèges, program purpose english : Currently water leaks in buildings are poorly detected and water usage is monitored irregularly or only for the building as a whole._x000D_
Water leaks in particular in multi-unit buildings have caused significant rise in insurance premiums. In order for many condo_x000D_
developments to obtain insurance, devices to detect and control leakages are required._x000D_
Instantia Lab Inc.s (Instantia) located in St. Catherines developed a water sensor that detects and monitors leaks, water quality_x000D_
as well as consumption in a real time manner utilizing the concept of internet of things technology along with the development,_x000D_
aggregation and analysis of big data. The developed sensor has wide application potential and can be placed in individual homes,_x000D_
residential buildings/complexes or commercial complexes. The sensor can be controlled by a single manager or by each individual_x000D_
building/unit owner through a cloud services platform._x000D_
Lambton College has partnered with Instantia to focus on machine learning algorithms that will develop an understanding of data_x000D_
aggregated in the data base by developing an extensive database and mobile dashboard platform that serves both the end user_x000D_
(consumer) and customers seeking to access the data aggregation and analytics services. The data will be able to pinpoint what_x000D_
water leakage occurring in each building or residential/commercial unit based on the meta data gathered upon the setup of a_x000D_
sensor. The results of this project will create revenue for Instantia, enhancing their existing product as well as a providing solutions_x000D_
for those who are required or want to monitor leaks._x000D_
._x000D_
Ontario, program purpose french : Currently water leaks in buildings are poorly detected and water usage is monitored irregularly or only for the building as a whole._x000D_
Water leaks in particular in multi-unit buildings have caused significant rise in insurance premiums. In order for many condo_x000D_
developments to obtain insurance, devices to detect and control leakages are required._x000D_
Instantia Lab Inc.s (Instantia) located in St. Catherines developed a water sensor that detects and monitors leaks, water quality_x000D_
as well as consumption in a real time manner utilizing the concept of internet of things technology along with the development,_x000D_
aggregation and analysis of big data. The developed sensor has wide application potential and can be placed in individual homes,_x000D_
residential buildings/complexes or commercial complexes. The sensor can be controlled by a single manager or by each individual_x000D_
building/unit owner through a cloud services platform._x000D_
Lambton College has partnered with Instantia to focus on machine learning algorithms that will develop an understanding of data_x000D_
aggregated in the data base by developing an extensive database and mobile dashboard platform that serves both the end user_x000D_
(consumer) and customers seeking to access the data aggregation and analytics services. The data will be able to pinpoint what_x000D_
water leakage occurring in each building or residential/commercial unit based on the meta data gathered upon the setup of a_x000D_
sensor. The results of this project will create revenue for Instantia, enhancing their existing product as well as a providing solutions_x000D_
for those who are required or want to monitor leaks._x000D_
._x000D_
Ontario, agreement title english : Building Automation Potable Water Sensor Analytics and Support / Diagnostics Protocol, agreement title french : Building Automation Potable Water Sensor Analytics and Support / Diagnostics Protocol, agreement number : CARD1, agreement value : 25000.0, agreement start date : 2018-01-10, agreement end date : nan, description english : nan, description french : nan, expected results english : nan, expected results french : nan, additional information english : Grant or Award spanning more than one fiscal year (2017-2018 to 2018-2019)., additional information french : Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier (2017-2018 à 2018-2019)., owner organization : nserc-crsng, owner organization title : Natural Sciences and Engineering Research Council of Canada | Conseil de recherches en sciences naturelles et en génie du Canada