IoT based water management system with machine learning.

Autor: Tejas, Yadav, Utkarsh, Krishnan, Vijay, Vishrutha, Mallikarjuna
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Zdroj: AIP Conference Proceedings; 2024, Vol. 2742 Issue 1, p1-10, 10p
Abstrakt: This paper discusses a keen way to manage and distribute water from a water tank or reservoir to consumers with minimal wastage. The aim of this paper is to discuss about the implementation of an IoT (Internet of Things) based water distribution system that will diminish the water wastage by consumers. The setup can be extended from a small society to the entire urban infrastructure. The proposed system consists of a waterflow sensor, actuator, microcontroller (ESP8266), and a web-application which can remotely control, cut, monitor, and analyze the water usage. Administrators will have access to restrict the water flow and upon consumers' requests ancillary water can be supplied. Also, this system is equipped with machine learning techniques for predicting the usage and learns the flow patterns of water among different user spaces, which will be useful to estimate the water requirements. Also, classify consumers based on their usage. The application is equipped with a reward system where consumers are rewarded with ancillary water when their consumption is minimal. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index