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Low-Cost IoT-Based Sensor System: A Case Study on Harsh Environmental Monitoring
Wireless Sensor Networks (WSNs) are promising technologies for exploiting in harsh environments such as can be found in the nuclear industry. Nuclear storage facilities can be considered harsh environments in that, amongst other variables, they can be dark, congested, and have high gamma radiation l...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7795175/ https://www.ncbi.nlm.nih.gov/pubmed/33396278 http://dx.doi.org/10.3390/s21010214 |
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author | Sunny, Ali Imam Zhao, Aobo Li, Li Sakiliba, Sambu Kanteh |
author_facet | Sunny, Ali Imam Zhao, Aobo Li, Li Sakiliba, Sambu Kanteh |
author_sort | Sunny, Ali Imam |
collection | PubMed |
description | Wireless Sensor Networks (WSNs) are promising technologies for exploiting in harsh environments such as can be found in the nuclear industry. Nuclear storage facilities can be considered harsh environments in that, amongst other variables, they can be dark, congested, and have high gamma radiation levels, which preclude operator access. These conditions represent significant challenges to sensor reliability, data acquisition and communications, power supplies, and longevity. Installed monitoring of parameters such as temperature, pressure, radiation, humidity, and hydrogen content within a nuclear facility may offer significant advantages over current baseline measurement options. This paper explores Commercial Off-The-Shelf (COTS) components to comprise an installed Internet of Things (IoT)-based multipurpose monitoring system for a specific nuclear storage situation measuring hydrogen concentration and temperature. This work addresses two major challenges of developing an installed remote sensing monitor for a typical nuclear storage scenario to detect both hydrogen concentrations and temperature: (1) development of a compact, cost-effective, and robust multisensor system from COTS components, and (2) validation of the sensor system for detecting temperature and hydrogen gas release. The proof of concept system developed in this study not only demonstrates the cost reduction of regular monitoring but also enables intelligent data management through the IoT by using ThingSpeak in a harsh environment. |
format | Online Article Text |
id | pubmed-7795175 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-77951752021-01-10 Low-Cost IoT-Based Sensor System: A Case Study on Harsh Environmental Monitoring Sunny, Ali Imam Zhao, Aobo Li, Li Sakiliba, Sambu Kanteh Sensors (Basel) Communication Wireless Sensor Networks (WSNs) are promising technologies for exploiting in harsh environments such as can be found in the nuclear industry. Nuclear storage facilities can be considered harsh environments in that, amongst other variables, they can be dark, congested, and have high gamma radiation levels, which preclude operator access. These conditions represent significant challenges to sensor reliability, data acquisition and communications, power supplies, and longevity. Installed monitoring of parameters such as temperature, pressure, radiation, humidity, and hydrogen content within a nuclear facility may offer significant advantages over current baseline measurement options. This paper explores Commercial Off-The-Shelf (COTS) components to comprise an installed Internet of Things (IoT)-based multipurpose monitoring system for a specific nuclear storage situation measuring hydrogen concentration and temperature. This work addresses two major challenges of developing an installed remote sensing monitor for a typical nuclear storage scenario to detect both hydrogen concentrations and temperature: (1) development of a compact, cost-effective, and robust multisensor system from COTS components, and (2) validation of the sensor system for detecting temperature and hydrogen gas release. The proof of concept system developed in this study not only demonstrates the cost reduction of regular monitoring but also enables intelligent data management through the IoT by using ThingSpeak in a harsh environment. MDPI 2020-12-31 /pmc/articles/PMC7795175/ /pubmed/33396278 http://dx.doi.org/10.3390/s21010214 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Communication Sunny, Ali Imam Zhao, Aobo Li, Li Sakiliba, Sambu Kanteh Low-Cost IoT-Based Sensor System: A Case Study on Harsh Environmental Monitoring |
title | Low-Cost IoT-Based Sensor System: A Case Study on Harsh Environmental Monitoring |
title_full | Low-Cost IoT-Based Sensor System: A Case Study on Harsh Environmental Monitoring |
title_fullStr | Low-Cost IoT-Based Sensor System: A Case Study on Harsh Environmental Monitoring |
title_full_unstemmed | Low-Cost IoT-Based Sensor System: A Case Study on Harsh Environmental Monitoring |
title_short | Low-Cost IoT-Based Sensor System: A Case Study on Harsh Environmental Monitoring |
title_sort | low-cost iot-based sensor system: a case study on harsh environmental monitoring |
topic | Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7795175/ https://www.ncbi.nlm.nih.gov/pubmed/33396278 http://dx.doi.org/10.3390/s21010214 |
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