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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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