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Robust sensing suite for measuring temporal dynamics of surface temperature in sewers
Sewerage systems are paramount underground infrastructure assets for any nation. In most cities, they are old and have been exposed to significant microbial induced corrosion. It is a serious global problem as they pose threats to public health and economic repercussions to water utilities. For mana...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6207747/ https://www.ncbi.nlm.nih.gov/pubmed/30375408 http://dx.doi.org/10.1038/s41598-018-34121-3 |
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author | Thiyagarajan, Karthick Kodagoda, Sarath Ranasinghe, Ravindra Vitanage, Dammika Iori, Gino |
author_facet | Thiyagarajan, Karthick Kodagoda, Sarath Ranasinghe, Ravindra Vitanage, Dammika Iori, Gino |
author_sort | Thiyagarajan, Karthick |
collection | PubMed |
description | Sewerage systems are paramount underground infrastructure assets for any nation. In most cities, they are old and have been exposed to significant microbial induced corrosion. It is a serious global problem as they pose threats to public health and economic repercussions to water utilities. For managing sewer assets efficaciously, it is vital to predict the rate of corrosion. Predictive models of sewer corrosion incorporate concrete surface temperature measurements as an observation. However, currently, it has not been fully utilized due to unavailability of a proven sensor. This study reports the feasibility of infrared radiometer for measuring the surface temperature dynamics in the aggressive sewer conditions. The infrared sensor was comprehensively evaluated in the laboratory at different environmental conditions. Then, the sensor suite was deployed in a Sydney based sewer for three months to perform continuous measurements of surface temperature variations. The field study revealed the suitability of the developed sensor suite for non-contact surface temperature measurements in hostile sewer conditions. Further, the accuracy of the sensor measurements was improved by calibrating the sensor with emissivity coefficient of the sewer concrete. Overall, this study will ameliorate the present sewer corrosion monitoring capabilities by providing new data to models predicting sewer corrosion. |
format | Online Article Text |
id | pubmed-6207747 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-62077472018-11-01 Robust sensing suite for measuring temporal dynamics of surface temperature in sewers Thiyagarajan, Karthick Kodagoda, Sarath Ranasinghe, Ravindra Vitanage, Dammika Iori, Gino Sci Rep Article Sewerage systems are paramount underground infrastructure assets for any nation. In most cities, they are old and have been exposed to significant microbial induced corrosion. It is a serious global problem as they pose threats to public health and economic repercussions to water utilities. For managing sewer assets efficaciously, it is vital to predict the rate of corrosion. Predictive models of sewer corrosion incorporate concrete surface temperature measurements as an observation. However, currently, it has not been fully utilized due to unavailability of a proven sensor. This study reports the feasibility of infrared radiometer for measuring the surface temperature dynamics in the aggressive sewer conditions. The infrared sensor was comprehensively evaluated in the laboratory at different environmental conditions. Then, the sensor suite was deployed in a Sydney based sewer for three months to perform continuous measurements of surface temperature variations. The field study revealed the suitability of the developed sensor suite for non-contact surface temperature measurements in hostile sewer conditions. Further, the accuracy of the sensor measurements was improved by calibrating the sensor with emissivity coefficient of the sewer concrete. Overall, this study will ameliorate the present sewer corrosion monitoring capabilities by providing new data to models predicting sewer corrosion. Nature Publishing Group UK 2018-10-30 /pmc/articles/PMC6207747/ /pubmed/30375408 http://dx.doi.org/10.1038/s41598-018-34121-3 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Thiyagarajan, Karthick Kodagoda, Sarath Ranasinghe, Ravindra Vitanage, Dammika Iori, Gino Robust sensing suite for measuring temporal dynamics of surface temperature in sewers |
title | Robust sensing suite for measuring temporal dynamics of surface temperature in sewers |
title_full | Robust sensing suite for measuring temporal dynamics of surface temperature in sewers |
title_fullStr | Robust sensing suite for measuring temporal dynamics of surface temperature in sewers |
title_full_unstemmed | Robust sensing suite for measuring temporal dynamics of surface temperature in sewers |
title_short | Robust sensing suite for measuring temporal dynamics of surface temperature in sewers |
title_sort | robust sensing suite for measuring temporal dynamics of surface temperature in sewers |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6207747/ https://www.ncbi.nlm.nih.gov/pubmed/30375408 http://dx.doi.org/10.1038/s41598-018-34121-3 |
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