Abstract

<p class="0abstract"><span lang="EN-US">This work presents an Internet of Things (IoT) solution to facilitate real time water quality monitoring by enabling the management of collected data from electronic sensors. Firstly, we present in detail problems encountered during the used data collection process. We discuss after the requirements from the water monitoring quality standpoint, data acquisition, cloud processing and data visualization to the end user. We designed a solution to minimize technicians’ visits to isolated water tower, we designed sensors achieving a lifespan of several years. The solution will be capable of scaling the processing and storage resources. This combination of technologies can cope with different types of environments. The system also provides a notification to a remote user, when there is a non-conformity of water quality parameters with the pre-defined set of standard values.</span></p>

Highlights

  • The increase in human activity over the past century is having a devastating impact on our environment, directly resulting in a cost to human health

  • The rapid pace of industrialization and greater emphasis on agricultural growth combined with latest advancements, agricultural fertilizers and non-enforcement of laws have led to water pollution to a large extent

  • We propose a conceptual model for water quality monitoring (WQM) based on Internet of Things (IoT)

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Summary

Introduction

The increase in human activity over the past century is having a devastating impact on our environment, directly resulting in a cost to human health. Different sources of errors are introduced including human errors during the sample collection (contamination of sample), sample analysis and data recording (statistical errors, round-off errors) and equipment (e.g., instrument malfunction) [6] These limitations led to a shift toward a more reliable approach for capturing water parameters to measure water quality. New sensors are developed using laser technology, biosensors, and optical sensors, to detect different water quality parameters in situ In this case, technician uses in situ sensors on the water source to measure certain parameters on-site. Such systems would optimize resources and avoid expensive installations in-situ, allowing massive supervision of all fixed water sources (water towers) or mobile water sources (cisterns), in urban or in isolated areas Monitoring these sources would allow accurate diagnosis of key parameters affecting water quality, which is useful for technicians to localize where water quality is deteriorated, so decide what actions need to be implemented.

Literature Review
Domain Model for WQM System Based on IoT
Things
End user
Proposed Solution
Used material
Communication protocols
Wiring module
Data storage
Formulas to calculate the volume of chlorine to be dosed
Calculation of the volume of chlorine to add in the water tower in liter
Conclusion
Findings
Authors
Full Text
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