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Grant: Engage Plus Grants for Colleges

Sir Sandford Fleming College of Applied Arts and Technology

$12,500.00

Enhancement of Algorithmic Accuracy for Real-Time Water Quality Monitoring of Municipal Wastewater Streams

FY 2019-20

Summary
In Canada, small-scale wastewater treatment plants (WWTPs), particularly those located in remote communities, demonstrate a significant need for wastewater treatment monitoring systems with continuous, real-time capabilities. A lack of such continuous monitoring poses a significant threat to public health and the environment. Currently, Northern and remote communities are disproportionately at risk due to factors such as aging facilities and the unavailability of qualified maintenance staff. A.U.G. Signals Ltd. has developed an Intelligent Water Surveillance system for drinking water, which provides accurate, fast-response solutions to end users. This technology has helped 19 First Nations communities in Ontario achieve real-time continuous drinking water monitoring. Following the promising results of AUG's NSERC Engage collaboration with Fleming College's Centre for Advancement of Water and Wastewater Technologies (CAWT), the company wishes to continue its collaboration to achieve further efficiencies. AUG's prototype will be recalibrated for further pilot testing to improve the accuracy and consistency of its optical sensors and analytic algorithms. This will result in the enhancement and optimization of the system's hardware, user interface, cloud-based data platform and overall water quality monitoring performance.
Program
Engage Plus Grants for Colleges
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
548585-2019
Name nom
Goodwin, Brett
Department département
Environmental and Natural Resource Sciences
Organization id
4915
Institution établissement
Sir Sandford Fleming College of Applied Arts and Technology
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2019
Competition year année de concours
2019
Award amount
12500
Program id
CEGP2
Program name en
Engage Plus Grants for Colleges
Program name fr
Subvention d'engagement partenarial Plus pour les collèges
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
1561
Committee name en
Applied Research and Development Grants
Committee name fr
Subventions de recherche et développement appliquée
Area of application code
902
Area of application group en
Commercial services
Area of application group fr
Services commerciaux
Area of application en
Waste, waste management and recycling
Area of application fr
Déchets, gestion des déchets et recyclage
Research subject code
1502
Research subject group en
Environmental engineering
Research subject group fr
Génie de l'environnement
Research subject en
Waste water treatment
Research subject fr
Traitement des eaux usées
Installment
inst:1 - 1
Partie
1
Nb partie
1
Application title
Enhancement of Algorithmic Accuracy for Real-Time Water Quality Monitoring of Municipal Wastewater Streams
Keyword
NSERC
Application summary
In Canada, small-scale wastewater treatment plants (WWTPs), particularly those located in remote communities, demonstrate a significant need for wastewater treatment monitoring systems with continuous, real-time capabilities. A lack of such continuous monitoring poses a significant threat to public health and the environment. Currently, Northern and remote communities are disproportionately at risk due to factors such as aging facilities and the unavailability of qualified maintenance staff. A.U.G. Signals Ltd. has developed an Intelligent Water Surveillance system for drinking water, which provides accurate, fast-response solutions to end users. This technology has helped 19 First Nations communities in Ontario achieve real-time continuous drinking water monitoring. Following the promising results of AUG's NSERC Engage collaboration with Fleming College's Centre for Advancement of Water and Wastewater Technologies (CAWT), the company wishes to continue its collaboration to achieve further efficiencies. AUG's prototype will be recalibrated for further pilot testing to improve the accuracy and consistency of its optical sensors and analytic algorithms. This will result in the enhancement and optimization of the system's hardware, user interface, cloud-based data platform and overall water quality monitoring performance.