BuntBrain, Artificial Intelligence for Smart Water Management
Manage your water network/assets remotely with the power of Artificial Intelligence and reduce your carbon footprint at the same timeLearn more
Award winning R&D ensures cutting edge technology
Artificial Intelligence explores the study and construction of algorithms that can learn from and make predictions on data.
Artificial Intelligence techniques are used by BuntBrain in order to make behavioural predictions and reduce analysis time to offer results in real time. At BuntPlanet we also use Artificial Intelligence to determine the best placement of sensors.
A virtual DMA is created through a combination of Artificial Intelligence, sensors and hydraulic modelling. BuntPlanet has been the first company in the world implementing Virtual DMA successfuly in a software. BuntBrain uses virtual DMAs to be capabable of prelocating leaks in large DMAs or open areas.
Big data is a term for data sets that are so large or complex that traditional data processing applications are inadequate to deal with them.
BuntBrain uses big data technology in order to process and store the massive amounts of data that are periodically gathered and sent by the utility to the cloud.
This technology is very useful to analyze the large amount of data coming from Smart Meters.
Metrology applied to water
Metrology is the science of measurement.
BuntBrain WaterMeters applies advanced metrology analytics and water meter knowledge to reduce metering inaccuracies and optimize water meter replacement policies.
A hydraulic model is a mathematical model of a water system that is used to analyse the system’s hydraulic behaviour.
BuntBrain LeakFinder combines the hydraulic model of the water network with Artificial Intelligence to perform hydraulic simulations which can detect, measure and locate leaks.
A digital twin is a virtual replication of the network, created in order to run simulations.
Sensor position optimization
Through the use of Artificial Intelligence we optimize the location of sensors to ensure an enhanced system diagnostic.
We determine the best placement of sensors for a better approach to leak detection and pre-location and monitoring the network’s water quality.