Anomaly Detection in BACnet systems
Meeting 2
Title: Senior Design Project Hardware + Software Component Discussion
Date: 05/09/2019
Time: 4 pm
Location: Conference Room CTL
Attendees: Sofian Ghazali, Rahul Balamurugan, Zahid Kamil
Absences: None
Meeting Agenda:
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This meeting will include discussions of the software and hardware components needed for the project
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Decided on Machine Learning as tool for anomaly detection in BMS systems
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Looking at possible algorithms that would be suitable to our project and the required software for it. Came up with software tools such as python, TensorFlow module for machine learning
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Brief discussion on hardware and possibly looking to emulate BACnet devices in the form of raspberry pi stacks
Discussion and Notes:
Sofian was in talks with Shaqfeh (Mentor's research assistant) on collecting data and deciding which ML algorithm to implement for anomaly detection to use. Zahid started researching on hardware components and suggested the idea of raspberry pi stack after discussion with our mentor Dr. Nuweiri. Rahul started researching existing solutions on the market and ways to bring a unique selling point to our project.
Next meeting action items:
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To collect information on existing solutions
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Make a budget list of components needed
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Research extensively on type of ML techniques after obtaining the dataset
Meeting Adjournment: 5:15pm
Meeting Minutes prepared by: Sofian Ghazali