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User Interface with analytics for Mini-substation monitoring
The project entails the creation of a web based application that will monitor sensors on substations. The application will graph data from the sensors with warning thresholds. It will notify specific users via text and email when thresholds have been met. The app will also store sensor data and look for trends using machine learning. For example if the substation goes down when the humidity and temperature are at a certain level.
Faculty Supervisor:
Jonathan Ziprick
Student:
Partner:
Power HV (Manitoba)
Discipline:
Computer science
Sector:
Manufacturing
University:
Red River College
Program:
Accelerate
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