About This Architecture

Air Quality Monitoring System ER diagram models a multi-table relational schema for tracking pollution and weather data across distributed monitoring stations. Users table links to Stations, which connect to Pollution Data, Weather Data, Model Predictions, and Alerts tables through foreign key relationships. The schema captures real-time sensor readings, meteorological conditions, predictive model outputs, and threshold-based alert triggers for air quality exceedances. Fork this diagram on Diagrams.so to customize station hierarchies, add alert escalation rules, or extend with data quality metrics. This normalized structure supports both operational dashboards and historical analysis for environmental compliance and public health monitoring.

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What is the database schema structure for an air quality monitoring system?

This ER diagram shows a normalized relational schema with seven core tables: Users for access control, Stations for monitoring locations, Pollution Data and Weather Data for sensor readings, Model Predictions for ML outputs, and Alerts for threshold violations. Foreign keys link Stations to all data tables, enabling efficient queries across sensor types and time periods.