Automated IoT Device Health Monitoring with AI and Telegram Alerts

This workflow continuously monitors IoT devices using AI to extract data, analyze health metrics, and send alerts via Telegram when issues arise, ensuring proactive maintenance and optimal performance.

The workflow operates by scheduling regular checks of IoT dashboards every 30 minutes. It uses ScrapeGraphAI to extract device data without the need for APIs, analyzes the data to calculate health scores, and identifies any problematic devices. Alerts are sent through Telegram only when necessary, such as when health scores fall below a set threshold or devices go offline, reducing alert fatigue. Historical data is logged for trend analysis and reporting.
Platform
n8n
Category
Internet of Things
Price
$9.99
Creator
Olivia Nguyen

How to import this workflow into n8n

  1. 1Purchase or download the workflow to get the n8n workflow JSON file.
  2. 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
  3. 3Open each node marked with a credential warning and connect your own accounts and API keys.
  4. 4Run the workflow once manually to verify the data flow, then toggle it to Active.

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