A Near Real-Time Monitoring Architecture for Flood Detection and Water Resource Management.
The Challenge
In an era of increasing climate instability, weather unpredictability poses a critical risk to infrastructure, agriculture, and public safety. While data sources exist (IPMA, SNIRH), they are often fragmented, scattered, and difficult to interpret in time for effective decision-making. The lack of a centralized view creates a gap between raw telemetry and actionable safety measures.
The Sersight Solution
We engineered an end-to-end data architecture that transforms scattered meteorological and hydrological telemetry into a centralized Visual Command Center.
More than just a report, this is a Decision Support System designed to:
Monitor Hourly: Automated ingestion of precipitation and wind data via public APIs, ensuring near real-time awareness.
Manage Resources: Historical and current analysis of reservoir storage levels across major river basins (2017 – Current Month).
Detect Anomalies: Advanced visual algorithms (Dynamic KPIs) to identify Flash Flood risks instantly.
Tech Stack & Engineering
Visualization: Microsoft Power BI featuring advanced visual engineering for high-performance alerting.
ETL & Ingestion: Python (Azure Functions / Serverless) for resilient, self-healing data extraction.
Storage: Azure SQL Database for robust historical modeling.
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