Predictive Maintenance

Unplanned downtime is expensive. An Arduino with an accelerometer measures motor vibration and reports it to IoTFlow. When vibration spikes past a limit, an n8n flow raises a ticket and alerts the maintenance team.

Device code (Arduino)

iot.virtualWrite("vibration", readRms());   // g RMS

Create an alert rule (vibration > limit). The alert is the trigger for the flow.

The n8n workflow

Here is the low-code automation that ties it together. In IoTFlow, every device event (telemetry, alert, command) can be forwarded to an n8n Webhook, and n8n calls back into the platform to control the device.

1. The Webhook receives the ALERT for the machine.
2. An IF node confirms it is above the action threshold.
3. A ticket is created (Jira/Sheet) and the team is notified on Slack.

Wire it up in 3 steps

1. In n8n, add a Webhook node, activate it and copy the Production URL.
2. In IoTFlow → Automations → New automation, pick the event and paste the URL.
3. Click Test, then let real device data trigger it automatically.

Tip: bind a Switch or Slider widget to the same virtual pin so you can also control the device by hand from the web or mobile app.

Happy building! 🚀