Work in Progress: Enhancing Sewage Systems Monitoring Through the Integration of Optical Fibre Sensors in IoT

Efficient monitoring of sewage systems networks and their pump stations is vital to avoid environmental spills and enhance customer safety. This paper proposes the integration of optical fibre sensors (OFSs) into an Internet of Things (IoT) platform for better monitoring of such sewage networks. The work addresses key challenges such as scalability and interoperability of an IoT platform that supports seamless OFS-to-Cloud connectivity. The proposed platform leverages compression algorithms and edge devices to optimize data communication. This platform is based on 28 different OFSs that have been set up in a laboratory environment to simulate a similar set up in a sewage network. This work achieved 50% compression ratio for the data collected from the OFSs and Amazon Web Services (AWS) S3 cloud system is used for data storage. This work is conducted in collaboration with Sydney Water.

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Publication Details

Published
2024-11-10
DOI
https://doi.org/10.1109/wf-iot62078.2024.10811356
Primary Topic
Water Quality Monitoring Technologies
Type
article
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article

Work in Progress: Enhancing Sewage Systems Monitoring Through the Integration of Optical Fibre Sensors in IoT

Matthias Fabian, Kenneth Tv Grattan, Heriberto Bustamante, Mounib Khanafer et al.
Water Quality Monitoring Technologies
article

Work in Progress: Enhancing Sewage Systems Monitoring Through the Integration of Optical Fibre Sensors in IoT

Matthias Fabian, Kenneth Tv Grattan, Heriberto Bustamante, Mounib Khanafer, Tong Sun, H.K.M. Youssef
article en

Abstract

Efficient monitoring of sewage systems networks and their pump stations is vital to avoid environmental spills and enhance customer safety. This paper proposes the integration of optical fibre sensors (OFSs) into an Internet of Things (IoT) platform for better monitoring of such sewage networks. The work addresses key challenges such as scalability and interoperability of an IoT platform that supports seamless OFS-to-Cloud connectivity. The proposed platform leverages compression algorithms and edge devices to optimize data communication. This platform is based on 28 different OFSs that have been set up in a laboratory environment to simulate a similar set up in a sewage network. This work achieved 50% compression ratio for the data collected from the OFSs and Amazon Web Services (AWS) S3 cloud system is used for data storage. This work is conducted in collaboration with Sydney Water.

City, University of London (GB), Sydney Water (AU), American University of Kuwait (KW)
Clean water and sanitation
Openalex Percentile: Top 76%
Water Quality Monitoring Technologies
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Work in Progress: Enhancing Sewage Systems Monitoring Through the Integration of Optical Fibre Sensors in IoT — Matthias Fabian, Kenneth Tv Grattan, et al. · (2024) | TGRS Research Map | TGRS