Abstract

Global environmental situation necessitates water management and conservation. Substantial water wastage can occur by leakage in the water supply system in household areas. Water usage monitoring is imperative in this era of declining water resources. This paper proposes a system to combat the above listed issues using enabling technologies like IoT and cloud services along with machine learning and sensor fusion techniques .In this paper we present a water leakage and monitoring system using cloud computing and IoT. Our proposed water leakage model is based on the idea that there is a relationship between flow values at various places and level of water in the tank. Cloud computing enables remote water usage monitoring and data processing capabilities. A novel method indicating the user to clean their overhead tank is also proposed in this paper.

Highlights

  • Water is a critical component of everyday human life.Due to scarcity of water at global scale its conservation is of utmost importance

  • Water resource availability in household areas has been declining in the last decade

  • In a situation of worsening water scarcity problem and higher water demands, water loss management is imperative.The water supplied to households need to be monitored continuously for two reasons: First being the leakage of water anywhere in the house leads to substantial wastage of water resources

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Summary

INTRODUCTION

Water is a critical component of everyday human life. Due to scarcity of water at global scale its conservation is of utmost importance. The main focus of the work is to monitor the water usage and to some extent water quality through cost effective IoT enabled ideas which give a way for automatic monitoring and avoiding human inspection and to make the system real time and energy efficient. For this purpose, the proposed system continuously collects data from the sensors and analyses the data using sensor fusion and machine learning to produce desirable outputs regarding the water usage, quality, leakage and predict the future usage.

LED and LDR circuit system as turbidity sensor
Microcontroller
METHODOLOGY
RESULTS AND DISCUSSIONS
CONCLUSION AND FUTURE SCOPE
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