Prediction of water consumption in homes through non -invasive vibration sensors and predictive algorithms adapted to socio -economic contexts

This document describes the scope and methodology of a technological innovation project applied to the monitoring and prediction of residential water consumption. The purpose of this innovation is to generate precise information about the water consumption that allows to generate savings policies and, consequently, a better handling of this resource. The principle of operation of the device involves the use of non -invasive vibration sensors, which collect data about the use of water resource at all points of consumption within a home, without altering the existing infrastructure. The communication of the microns distributed by the property implies a technological barrier that through the development of this project will be resolved. The data collected are processed through automatic learning algorithms for the prediction of water consumption according to different socio -economic contexts of the homes of the city of Cuenca. This project addresses the need to manage water resource sustainably, especially in the context of climate change and population growth. The integration of sensors with data analysis techniques will allow you to learn water consumption patterns and generate recommendations to reduce waste. This innovative approach contributes to the development of technological solutions applicable to domestic water management and is a basis for the creation of water sustainability strategies in urban and rural environments, with direct impact on the planning of public policies related to the distribution and conservation of the resource.

21st UNIVERSITY RESEARCH PROJECT COMPETITION