Introduction & Onboarding for MSIoT - GeorgiaTech-DDI/makerspace_iot GitHub Wiki

💡Everything you want to know about the project!


➡️Project Aim

Enable data collection for various machine parameters in Flower Invention Studio.

➡️Project inspiration

After going through various research papers we realised there was no paper which provided holistic knowledge of principles of mechanical, electrical, electronics and computer science to set up predictive maintenance in makerspace environment. The predictive maintenance techniques being used in the industry are complex, proprietary and expensive to implement.

➡️ User Stories

As a PI, I want to have a way to know when the Cold Cut Saw is broken and be able aware of it as soon as possible.

As a PI, I want to have a way to monitor the Cold Cut Saw in real time to know when it needs maintenance.

➡️Project Goals

We have made an IoT infrastructure which utilizes sensors to gather data on various machine parameters like current, vibration, temperature etc. These machine parameters are constantly measured and stored in a cloud warehouse.

➡️Project Expectations

➡️Project Teams

Analytics Cloud/AWS Sensor
Goal 1: To analyze the gathered data and work towards predictive maintenance. Goal 1: Handle process from IoT Core to Dashboard. Goal 1: Provide a sensor suite that can record machine data.
Goal 2: Scale monitoring to multiple machines. Goal 2: Create and improve firmware for data transfer to cloud.
Lead: Aditya Jarial Lead: TBD Lead: Gate Tangchartsiri

➡️Hardware used

  • Microcontroller: Teensy
  • Microprocessor: Beaglebone Black Wireless
  • Vibration sensor: MPU 6050
  • Temperature sensor

➡️Softwares used

Asana

Mainly used for project managing and assigning. Anything that deals with the progress of the project goes through Asana first.

Microsoft Teams

Teams is used as a chatting tool between different sub-teams in MSIoT and also a way to communicate between team members. Any announcements will be done there.

Github

Where all the programs and code will be stored. GitHub Wiki is also where the documentation of project will be stored.

Google Drive

Used to store any processing files that are not at the documentation level yet.

Google Meet

This project will meet through google meets and meetings will be scheduled here.

➡️What steps do new people have to take to understand the project?

The Makerspace IoT project utilizes certain aspects of the Agile methodology to make tasks delegation, assigning, and completion more efficient. This guide provides a way for new project members to understand what applications and processes we have on a weekly basis.

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