This workflow automates the monitoring of IoT devices by periodically extracting device data from a dashboard using AI, analyzing device health, and sending alerts via Telegram. It runs every 30 minutes, gathering data on device status, battery levels, and temperature, then computes a health score, identifies issues, and logs all activity. If device health drops below a threshold or problems are detected, the system proactively notifies users, making it ideal for maintaining IoT network stability, performing proactive maintenance, and ensuring device safety.
IoT Device Health Monitoring and Alerts
| Node Count | 11 – 20 Nodes |
|---|---|
| Nodes Used | code, if, n8n-nodes-scrapegraphai.scrapegraphAi, scheduleTrigger, stickyNote, telegram |
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