Big Data and Artificial Intelligence for better water management

big data

A while ago we talked about how little by little the Big Data in meteorology It will transform the way of doing it and studying it. How the "eyes" that can see what a priori goes unnoticed. Big Data is rapidly entering many sectorss, and it is already being applied to better water management. Along with Artificial Intelligence (AI) and sensors, is something that is underway. It is expected that by 2025 these technologies could help in the management and distribution of water, and reduce water leaks by 50%.

One of the problems that UNESCO focuses on in terms of water, is the management. As climate change advances, and the mismanagement that has been done, it is necessary to look for tools capable of improving and optimizing processes. At this point, Big Data and AI begin to see the light of how to make efficient and intelligent use of water.

The WatERP project, in search of water efficiency

moment that a drop of water falls into the water

WatERP, is a project funded by the European Commission. Its objective is the search for intelligent solutions for the water resource. Such as you can see (clicking here) it is an open standards website for the management of the guide in each of its phases of the cycle. From the data and information collected in it, they include everything related to supply points, locations, treatment schedules, and other legal and meteorological information.

Libelium CEO David Gascón, hydroinformatics expert, indicates that water management is currently based on global data, but it really should be local. Libelium is a company specialized in the development of sensors that collect and send data so that it can be processed quickly by artificial intelligence. In Gascón's words, local measurements, for a river for example, instead of taking data from 3 different points, it should be done at 300 points, to really get an idea with face and eyes, of what happens in that part of the cycle.

Little by little this technology has already been applied in cities like Barcelona, ​​where the water in irrigation systems has been reduced by 25%. Something that shows that good data management has great benefits for our planet.

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