Smart IoT device health monitor with ScrapeGraphAI and Telegram
Smart IoT Device Health Monitor with AI-Powered Dashboard Analysis and Real-Time Alerting
🎯 Target Audience
- IT operations and infrastructure teams
- IoT system administrators and engineers
- Facility and building management teams
- Manufacturing and industrial operations managers
- Smart city and public infrastructure coordinators
- Healthcare technology administrators
- Energy and utilities monitoring teams
- Fleet and asset management professionals
- Security and surveillance system operators
- Property and facility maintenance teams
🚀 Problem Statement
Monitoring hundreds of IoT devices across multiple dashboards is overwhelming and reactive, often leading to costly downtime, missed maintenance windows, and system failures. This template solves the challenge of proactive IoT device monitoring by automatically analyzing device health metrics, detecting issues before they become critical, and delivering intelligent alerts that help teams maintain optimal system performance.
🔧 How it Works
This workflow automatically monitors your IoT dashboard every 30 minutes using AI-powered data extraction, analyzes device health patterns, calculates system-wide health scores, and sends intelligent alerts only when intervention is needed, preventing alert fatigue while ensuring critical issues are never missed.
Key Components
- Schedule Trigger - Runs every 30 minutes for continuous device monitoring
- AI Dashboard Scraper - Uses ScrapeGraphAI to extract device data from any IoT dashboard without APIs
- Health Analyzer - Calculates system health scores and identifies problematic devices
- Smart Alert System - Sends notifications only when health drops below thresholds
- Telegram Notifications - Delivers formatted alerts with device details and recommendations
- Activity Logger - Maintains historical records for trend analysis and reporting
📊 Device Health Analysis Specifications
The template monitors and analyzes the following device metrics:
| Metric Category | Monitored Parameters | Analysis Method | Alert Triggers | Example Output | |-----------------|---------------------|-----------------|----------------|----------------| | Device Status | Online/Offline/Error | Real-time status check | Any offline devices | "Device-A01 is offline" | | Battery Health | Battery percentage | Low battery detection | Below 20% charge | "Sensor-B03 low battery: 15%" | | Temperature | Device temperature | Overheating detection | Above 70°C | "Gateway-C02 overheating: 75°C" | | System Health | Overall health score | Online device ratio | Below 80% health | "System health: 65%" | | Connectivity | Network status | Connection monitoring | Loss of communication | "3 devices offline" | | Performance | Response metrics | Trend analysis | Degraded performance | "Response time increasing" |
🛠️ Setup Instructions
Estimated setup time: 15-20 minutes
Prerequisites
- n8n instance with community nodes enabled
- ScrapeGraphAI API account and credentials
- Telegram bot token and chat ID
- Access to your IoT dashboard URL
- Basic understanding of your device naming conventions
Step-by-Step Configuration
1. Install Community Nodes
# Install required community nodes
npm install n8n-nodes-scrapegraphai
2. Configure ScrapeGraphAI Credentials
- Navigate to Credentials in your n8n instance
- Add new ScrapeGraphAI API credentials
- Enter your API key from ScrapeGraphAI dashboard
- Test the connection to ensure it's working
3. Set up Schedule Trigger
- Configure the monitoring frequency (default: every 30 minutes)
- Adjust timing based on your operational needs:
- Every 15 minutes:
*/15 * * * * - Every hour:
0 * * * * - Every 5 minutes:
*/5 * * * *
- Every 15 minutes:
4. Configure Dashboard URL
- Update the "Get Data" node with your IoT dashboard URL
- Customize the AI prompt to match your dashboard structure
- Test data extraction to ensure proper JSON formatting
- Adjust device field mappings as needed
5. Set up Telegram Notifications
- Create a Telegram bot using @BotFather
- Get your chat ID from @userinfobot
- Configure Telegram credentials in n8n
- Test message delivery to ensure alerts work
6. Customize Health Thresholds
- Adjust health score threshold (default: 80%)
- Set battery alert level (default: 20%)
- Configure temperature warning (default: 70°C)
- Customize alert conditions based on your requirements
7. Test and Validate
- Run the workflow manually with your dashboard
- Verify device data extraction accuracy
- Test alert conditions and message formatting
- Confirm logging functionality works correctly
🔄 Workflow Customization Options
Modify Monitoring Frequency
- Adjust schedule for different device criticality levels
- Add business hours vs. off-hours monitoring
- Implement variable frequency based on system health
- Add manual trigger for on-demand monitoring
Extend Device Analysis
- Add more device metrics (memory, CPU, network bandwidth)
- Implement predictive maintenance algorithms
- Include environmental sensors (humidity, air quality)
- Add device lifecycle and warranty tracking
Customize Alert Logic
- Implement escalation rules for critical alerts
- Add alert suppression during maintenance windows
- Create different alert channels for different severity levels
- Include automated ticket creation for persistent issues
Output Customization
- Add integration with monitoring platforms (Grafana, Datadog)
- Implement email notifications for management reports
- Create executive dashboards with health trends
- Add integration with maintenance management systems
📈 Use Cases
- Industrial IoT Monitoring: Track manufacturing equipment and sensors
- Smart Building Management: Monitor HVAC, lighting, and security systems
- Fleet Management: Track vehicle telematics and diagnostic systems
- Healthcare Device Monitoring: Ensure medical device uptime and performance
- Smart City Infrastructure: Monitor traffic lights, environmental sensors, and public systems
- Energy Grid Monitoring: Track smart meters and distribution equipment
🚨 Important Notes
- Respect your dashboard's terms of service and rate limits
- Implement appropriate delays between requests to avoid overloading systems
- Regularly review and update device thresholds based on operational experience
- Monitor ScrapeGraphAI API usage to manage costs effectively
- Keep your credentials secure and rotate them regularly
- Ensure alert recipients are available to respond to critical notifications
- Consider implementing backup monitoring systems for critical infrastructure
- Maintain device inventories and update monitoring parameters as systems evolve
🔧 Troubleshooting
Common Issues:
- ScrapeGraphAI connection errors: Verify API key and account status
- Dashboard access issues: Check URL accessibility and authentication requirements
- Data extraction failures: Review AI prompt and dashboard structure changes
- Missing device data: Verify device naming conventions and field mappings
- Alert delivery failures: Check Telegram bot configuration and chat permissions
- False alerts: Adjust health thresholds and alert logic conditions
Support Resources:
- ScrapeGraphAI documentation and API reference
- n8n community forums for workflow assistance
- Telegram Bot API documentation
- IoT platform-specific monitoring best practices
- Device manufacturer monitoring guidelines
- Industrial IoT monitoring standards and frameworks
Smart IoT Device Health Monitor with ScrapegraphAI and Telegram
This n8n workflow automates the monitoring of smart IoT device health and sends critical alerts to Telegram. It's designed to periodically check a condition and notify a designated channel if the condition is met, ensuring timely awareness of potential issues.
What it does
This workflow simplifies the process of monitoring and alerting by:
- Scheduled Polling: Periodically triggers the workflow at a specified interval (e.g., every hour, daily).
- Custom Logic Execution: Executes custom JavaScript code, likely to fetch or process IoT device health data, or to interact with a service like ScrapegraphAI to gather insights.
- Conditional Evaluation: Evaluates the results from the custom code using an If node. This node determines if a specific condition (e.g., device health status, anomaly detected) is met.
- Telegram Notification: If the condition evaluates to TRUE, a message is sent to a specified Telegram chat, providing an immediate alert.
Prerequisites/Requirements
To use this workflow, you will need:
- n8n Instance: A running instance of n8n.
- Telegram Account: A Telegram account and a Bot Token for sending messages. You will need to create a Telegram Bot and obtain its API token.
- Telegram Chat ID: The chat ID where the alerts should be sent. This can be a private chat or a group chat.
- Custom Code Logic: The JavaScript code within the "Code" node needs to be configured to interact with your IoT device data source or ScrapegraphAI, and define the health monitoring logic.
Setup/Usage
- Import the Workflow:
- In your n8n instance, go to "Workflows".
- Click "New" or "Import from JSON".
- Paste the provided JSON into the import dialog.
- Configure Credentials:
- Telegram:
- Locate the "Telegram" node.
- Click on the "Credential" field and select "Create New Credential".
- Enter your Telegram Bot Token.
- In the Telegram node's "Chat ID" field, enter the ID of the chat where you want to receive notifications.
- Telegram:
- Customize the Code Node:
- Locate the "Code" node.
- Edit the JavaScript code to implement your specific IoT device health check logic. This might involve:
- Making HTTP requests to an IoT platform API.
- Processing data received from a previous node (if you add one).
- Integrating with ScrapegraphAI to analyze data or generate insights.
- The output of this node should be structured in a way that the "If" node can easily evaluate a condition (e.g., a boolean
isAlertNeededor a status string).
- Configure the If Node:
- Locate the "If" node.
- Set up the condition(s) based on the output of your "Code" node. For example, if your "Code" node outputs
{{ $json.isAlertNeeded }}, you would set a condition likeValue1: {{ $json.isAlertNeeded }} | Operation: Is True.
- Configure the Schedule Trigger:
- Locate the "Schedule Trigger" node.
- Set the desired interval for the workflow to run (e.g., every 1 hour, every 30 minutes, daily).
- Activate the Workflow:
- Once all configurations are complete, save the workflow and activate it by toggling the "Active" switch in the top right corner.
The workflow will now run automatically based on your schedule, check the IoT device health, and send Telegram alerts if necessary.
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