Smart compressor monitoring system (multi-sensor)


Source: Wikimedia Commons (licence)


I. Objectives of the tutorial

In this tutorial, we make a smart multi-sensor device that will be able to monitor an air compressor and detect anomalies.

This will be achieved using the following 5 sensors / 10 variables:

  • 1-3: Three-axis accelerometer
  • 4-6: Three-axis gyroscope
  • 7-8: Two temperature sensors
  • 9: One pressure sensor
  • 10: One humidity sensor

This device will integrate and use Cartesiam’s NanoEdge AI Library, which will be selected via NanoEdge AI Studio.

Project constraints

The device will be able to:

  • learn the “normal” behavior of the air compressor
  • alert the user when an anomaly is detected

II. Requirements

Coming soon!

III. Making a data logger

Coming soon!

IV. Finding the best library and testing it using NanoEdge AI Studio

Coming soon!

V. Using your NanoEdge AI Library to build your final product

Coming soon!


All NanoEdge AI Studio documentation is available here.
Step-by-step tutorials, to use NanoEdge AI Studio to build a smart device from A to Z:

Useful links: