Detail Abstract

Analysis of Water Use Patterns Based on Big Data and Neural Networks

Abstract

Demand for water wellness technology is increasing due to the continuous occurrence of water accidents, interest in water quality. Currently, various studies on water supply as welfare are being conducted, and it is connected to interest in indoor water quality and water use patterns in the existing water supply system.</br> This study constructed data based on past water usage data and reviewed water usage patterns for each purpose of use compared to total water usage by applying external factors that can affect the total water usage and water usage patterns through machine learning. The purpose of use was analyzed by dividing it into toilet water, sink, washing machine, and kitchen sink, and the analysis technique was analyzed by applying a neural network-based algorithm that is easy for various statistical analysis and big data analysis.</br> As a result, it seems that it is sufficiently predictable with a coefficient value of 0.7 or higher, it intends to develop a program that the direction of improving the model in a predictable form by collecting data directly. In addition, it will be applied to the actual area in the form of living labs to derive the direction of improvement.