Open Machine Monitoring

Take your first step into Industry 4.0 with our free, open-source machine monitoring tool.

View on GitHub Learn More

Overview

OpenMachineMonitoring is a lightweight, extensible, open-source platform for collecting, visualising, and analysing machine utilisation data.

OpenMachineMonitoring Dashboard

UI showing machine utilisation over the course of a day

Key Features

  • Data collection using off-the-shelf current clamp sensors
  • MQTT support for easy integration and expandability
  • Asset view showing all of the machines currently connected and their statuses
  • Timeline view showing different periods of activity over the current day
  • Weekly view showing the daily activity of each machine over the current week
  • Calendar view showing daily activity over the year
  • Comparison view to compare uptime across connected assets
  • Ranked view showing all assets in order of utilisation
  • Downtime events to explain periods of inactivity with a log and stats view.

Technical Details

System Architecture

High-level system architecture showing key components

Technology Stack

  • Backend: Python with FastAPI
  • Frontend: React
  • Database: SQLite for local storage of statistics, InfluxDB for cloud storage of raw sensor data
  • Message Routing: HiveMQ cloud MQTT server
  • Sensors: YHDC current clamp

Getting Started

It's super easy to get started with OpenMachineMonitoring.

Firstly, gather the necessary hardware together. For our demonstrator we use the following:

  • Sensor: DFRobot current sensor kit (available here)
  • Controller: Arduino MKR WiFi 1010 (available here)
  • Computer to run OpenMachineMonitoring: Raspberry Pi 4 Model B (available here)

Next, get everything up and running quickly with our step-by-step guide:

Get Started Guide

Roadmap

Now

Hardware enclosure

3D-printable DIN rail enclosure for the Arduino, and sensor signal circuit

Code refactoring

Making sure the code is clean and easy to understand, and extensible for future features.

Later

Automated reporting

OMM sends automated reports to users via email.

Additional sensor feeds

Support for other sources of data (e.g. vibration and temperature).

AI-powered recommendations

Using AI to make recommendations for improving efficiency, productivity, lifetime and other key metrics