Case Study
London, UK
Public sector-Flood Risks
Apache Kafka, PostgreSQL, Espressif ESP32 module, React Native, DeviceHive, Java, openHAB
London city sits on a flood plain and has been hit by a number of significant floods over the years, going as far back as 1903. The city flooded in 1947, 1954, 1959, 1979, 1998, 2007 and 2014 – and another one is predicted to hit the city sometime next year. This is a serious concern, because not only can floods cause irreversible damage to houses and other properties, but they can also temporarily unhouse thousands of people, whilst also forcing insurers to pay out big money on home insurance policies.
- Residents are all often poorly informed about the situation before the flood hits – meaning that there is little time to prepare for the worst.
- Improved advanced warning required
- Complex- many factors involved in understanding how, when, where flooding may occur.
The project has been focused on exploring the potential of the Internet of Things (IoT) to create an extensive, localised, early-warning system for flood-prone areas for the first time in the UK. The Flood Network is powered by three pieces of innovative technology developed:
- Ultrasonic Sensors in the stream groundwater and basin of the Thames and Cherwell rivers
- Geo visualisation and data analytic tool
- The use of TV white space to connect a number of hard-to-reach devices in the network
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