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Grant: Applied Research and Development Grants - Level 1

Algonquin College of Applied Arts and Technology

$25,000.00

Intelligent mobile agent for the Industrial Internet of Things workforce

EF 2015-16

Résumé
contextere provides mobile information curation solutions to companies with field workers. They deliver the 'intelligence' field crews need to perform their specific tasks, ensuring that appropriate data is conveyed to the appropriate worker at the right time. Using their system, field workers are provided the mission-critical guidance for: safety and regulatory conformance; equipment maintenance, operating procedures; troubleshooting, repairs and workflow optimization. Increasingly, data can include live streams from equipment and from the so-called 'Industrial Internet of Things'. This means integrating static data from central repositories with live data from content providers and sensors. Analytics and machine-learning can optimize the data input to the individual worker and, as a result, improve their decision-making processes and productivity. Traditional data management architectures make it difficult for appropriate data to be accessed by teams when they need it the most - for instance under challenging weather conditions. contextere's system is designed to overcome such barriers and to efficiently support the field worker with the right information in context. In addition to managing complex data content and data flow as described above, contextere delivers data and guidance in a format appropriate to the field worker's digital form factor, be it a smart watch, smart phone or tablet, as well as to the worker's experience level. One of the outcomes of this project will be a prototype of an advanced, responsive and portable User-Experience front-end. The scope of the proposed project is multi-disciplinary and will touch upon many of the College's strengths. contextere will benefit from Algonquin's experience in UX design, wireless communications, software development, network administration and live data sourcing from connected equipment.
Programme
Applied Research and Development Grants - Level 1
Emplacement
Ontario, Canada
Type de bénéficiaire
Other
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
491521-2015
Name nom
BrundelRe, Riccardo
Department département
Head Office
Organization id
2324
Institution établissement
Algonquin College of Applied Arts and Technology
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2015
Competition year année de concours
2015
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
800
Area of application group en
Information and communication services
Area of application group fr
Services d'information et de télécommunications
Area of application en
Information and communication services
Area of application fr
Services d'information et de télécommunications
Research subject code
1600
Research subject group en
Industrial engineering
Research subject group fr
Génie industriel
Research subject en
Industrial engineering
Research subject fr
Génie industriel
Partie
1
Nb partie
1
Application title
Intelligent mobile agent for the Industrial Internet of Things workforce
Keyword
NSERC
Application summary
contextere provides mobile information curation solutions to companies with field workers. They deliver the 'intelligence' field crews need to perform their specific tasks, ensuring that appropriate data is conveyed to the appropriate worker at the right time. Using their system, field workers are provided the mission-critical guidance for: safety and regulatory conformance; equipment maintenance, operating procedures; troubleshooting, repairs and workflow optimization. Increasingly, data can include live streams from equipment and from the so-called 'Industrial Internet of Things'. This means integrating static data from central repositories with live data from content providers and sensors. Analytics and machine-learning can optimize the data input to the individual worker and, as a result, improve their decision-making processes and productivity. Traditional data management architectures make it difficult for appropriate data to be accessed by teams when they need it the most - for instance under challenging weather conditions. contextere's system is designed to overcome such barriers and to efficiently support the field worker with the right information in context. In addition to managing complex data content and data flow as described above, contextere delivers data and guidance in a format appropriate to the field worker's digital form factor, be it a smart watch, smart phone or tablet, as well as to the worker's experience level. One of the outcomes of this project will be a prototype of an advanced, responsive and portable User-Experience front-end. The scope of the proposed project is multi-disciplinary and will touch upon many of the College's strengths. contextere will benefit from Algonquin's experience in UX design, wireless communications, software development, network administration and live data sourcing from connected equipment.