AI/ML
n8n Workflow Automation Solutions for Production Line Monitoring
Overview
n8n monitors IoT sensor data for production issues and notifies maintenance via Slack instantly.
Prerequisites
- n8n installed.
- IoT platform (e.g., AWS IoT) with API access.
- Slack workspace with API token.
Workflow Setup
Prepare n8n Environment
- Navigate to http://localhost:5678 and log in.
- Click “Workflows,” then “+ New,” and name it (e.g., “Production Alerts”). Click “+” to start.
Trigger Node: Webhook
Node: Webhook
Settings:
- Path: iot-alert
- Webhook URL: https://<n8n-host>/webhook/iot-alert
Output: Sensor data (e.g., {{ $json.body.status }}).
Notify Node: Slack
Node: Slack
Settings:
- Credentials: Slack API token
- Channel: #maintenance
- Text: Alert: Machine {{ $node["Webhook"].json.body.machine_id }} down - {{ $node["Webhook"].json.body.status }}
Output: Message posted.
Workflow Summary
- Flow: Webhook (trigger) → Slack (notify).
- Execution: ~10 seconds.
Benefits
- Cuts downtime response by ~90%.
- Ensures rapid issue resolution.
- Boosts production uptime.
Troubleshooting
- Webhook Fail: Check IoT platform integration.
- Slack Issues: Verify token permissions.
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