Wireless & IoT DivisionStatus: In ProgressCategory: Smart Infrastructure & Environmental Monitoring

Urban Flood Intelligence Engine

A hybrid GIS visualization and IoT telemetry ingestion platform designed to model urban surface water runoff and ingest live water level measurements from ultrasonic sensors mounted at critical drainage culverts.

Problem Statement

Intense localized urban rainfall causes rapid flash flooding in low-lying city thoroughfares, overwhelming traditional regional weather forecasts.

Project Objectives

✓Ingest digital elevation models (DEM) and urban storm drain vector GIS layers.

✓Ingest real-time water level data from connected ultrasonic IoT field nodes.

✓Render dynamic inundation heatmaps for urban planning and emergency awareness.

Hardware & Sensors

Ultrasonic water level distance sensor node
Solar-powered cellular IoT telemetry gateway
IP67 weather-proof culvert mounting enclosure
Note: Platform operates as a hybrid software/GIS platform capable of ingesting live IoT sensor feeds or synthetic rainfall model data.

Communication Architecture

MQTT / HTTP REST API ingesting sensor payload JSON packets from field ultrasonic nodes into a GIS cloud server.

Software & Data Processing

Python GIS processing pipeline (GeoPandas, Rasterio)
Hydrodynamic digital elevation flow routing algorithm
Real-time WebGL interactive map dashboard

Implementation Workflow

Municipal DEM elevation layer ingestion and slope flow routing calculation
MQTT telemetry ingestion server deployment
Ultrasonic water level node bench testing

Testing & results

Hydrodynamic elevation flow model validated against historical municipal rain data.

Tech stack

Python GISGeoPandasUltrasonic NodeMQTTWebGL MapDocker

Interested in this project?

Connect with the Alistron engineering team to discuss technical specifications, school workshops, or joint R&D collaboration.

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