Smart Cities5 min read
Flood early warning: river-level sensors feeding a city digital twin
When rivers rise, minutes matter. Connecting water-level, rainfall and city data gives emergency teams an earlier and clearer picture.
ALLINLET team
The challenge
Flood data is often spread across agencies and systems: river gauges, weather services, drainage operators and emergency services. Each holds part of the picture, and combining them by hand takes time cities don't have.
The data sources
- River and tide gauges: water levels and flow.
- Rain gauges and weather radar: rainfall now and forecast.
- Weather and hydrological models: forecasts in formats such as GRIB2, NetCDF or WaterML.
- Drainage and pumping stations: SCADA data from the water network.
- Seismic and structural sensors: early signs of damage to infrastructure.
- Alert systems: messages in the Common Alerting Protocol (CAP).
How it works with ALLINLET
- Bring gauges, forecasts and network data into one stream.
- Feed a city digital twin that maps water levels onto streets, buildings and infrastructure.
- Simulate how the flood could spread over the next hours.
- Trigger alerts and coordinate the response as thresholds are crossed.
What changes
- Earlier warnings, based on live data and forecasts.
- A shared picture for every agency involved.
- Better decisions about closures, evacuations and pumping.
- A record of each event to improve future planning.
Getting started
Start with the gauges and forecasts for one river basin, then add drainage, alerts and the city model.
( _how allinlet helps )
ALLINLET connects to IoT sensors and industrial systems through 900+ connectors across 22 domains, and delivers one clean data stream, in our cloud or in your own infrastructure.