Real-Time Airline Schedule Monitor & Passenger Alert System
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Automate flight schedule monitoring and passenger alerts with this powerful n8n workflow. Stay ahead of delays, gate changes, and cancellations by comparing live API data with your existing flight schedules.
About This Workflow
The Real-Time Airline Schedule Monitor & Passenger Alert System is an n8n workflow designed to provide proactive operational awareness for airline schedules. It intelligently monitors for discrepancies between live flight data and your internal records. Triggered at configurable intervals (e.g., every 30 minutes), it fetches the latest flight information from an aviation API and compares it against your PostgreSQL database. Any detected changes in departure/arrival times, flight status, gates, or terminals are logged, categorized by severity, and can trigger immediate notifications. This system ensures that your operations team is always informed of critical updates, allowing for swift responses and enhanced passenger communication.
Key Features
- Automated Schedule Monitoring: Continuously checks for flight schedule updates every 30 minutes.
- Real-Time Data Comparison: Compares live aviation API data with your internal PostgreSQL flight schedules.
- Change Detection: Identifies modifications in departure/arrival times, status, gate, and terminal.
- Severity-Based Alerts: Categorizes changes into low, medium, high, and critical for prioritized action.
- Automated Notifications: Sends critical updates to a designated Slack channel.
How To Use
- Schedule Trigger: Configure the 'Schedule Trigger' node to set the frequency of your schedule checks (e.g., every 30 minutes).
- Fetch Airline Data: Set up the 'Fetch Airline Data' node with your aviation API endpoint (e.g.,
https://api.aviationstack.com/v1/flights) and authenticate using your API key. - Get Current Schedules: Configure the 'Get Current Schedules' node to connect to your PostgreSQL database and retrieve the most recent flight schedule data. Ensure your query (
SELECT flight_number, departure_time, arrival_time, status, gate, terminal FROM flight_schedules WHERE updated_at > NOW() - INTERVAL 1 HOUR) accurately fetches relevant information. - Process Changes: This 'Process Changes' node contains JavaScript code that compares the API data with your database records. It identifies differences, calculates time differences for schedule changes, and assigns a severity level (low, medium, high, critical).
- Check for Changes: The 'Check for Changes' node acts as a gateway. If the 'Process Changes' node detects any changes (i.e.,
total_changes> 0), the workflow proceeds to the next steps. - Update Database: If changes are detected, the 'Update Database' node will execute an SQL
UPDATEstatement to synchronize your PostgreSQL database with the new flight schedule details. - Notify Slack Channel: For critical changes, the 'Notify Slack Channel' node sends a message to your designated Slack channel, providing a summary of the updates and specific details of the changes.
Apps Used
Workflow JSON
{
"id": "45a884e0-1a60-4c7c-9395-f35e54016213",
"name": "Real-Time Airline Schedule Monitor & Passenger Alert System",
"nodes": 9,
"category": "Operations",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: 45a884e0-1a60...
About the Author
DevOps_Master_X
Infrastructure Expert
Specializing in CI/CD pipelines, Docker, and Kubernetes automations.
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