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IoT Data Collection (idb)

Competence idb (space) by T. Amberg & J. Luthiger for FHNW.

Overview

The idb competence wants to enable you to use the physical world as a data source for your data analysis projects. In the end you will have a deeper unterstanding of:

  • How to aquire data from the physical world?
  • How to aggregate data in the field?
  • How to transport data to a backend?
  • How to access data on the backend for analysis?
  • How tools/platforms differ and what are advantages and disadvantages?

To be able to compare the technologies used, it is essential that you have an understanding of the underlying concepts.

Resources

Resources and code examples to get into Internet of Things (IoT) data collection:

  1. Introduction - how to get started with CircuitPython, nRF52840 and Raspberry Pi.
  2. Data Acquisition - how to acquire measurement data from sensors.
  3. Data Transport - how to transport data to the backend.
  4. Data Analysis - how to display and analyse data.

Mini-Challenge

For additional motivation try this mini-challenge:

Hardware

The following modular hardware is available in your IoT kit:

E.g. to build a battery-powered device with a sensor and connectivity:

Wiki

For additional resources, check the IoT Data Collection Wiki:

License

Unless noted otherwise:

Publishing your own code?