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IoT-Based Fish Farm Water Quality Monitoring System
Typhoons in summer and cold snaps during winter in Taiwan often cause huge aquaculture losses. Simultaneously, the lack of human resources is a problem. Therefore, we used wireless transmission technology with various sensors to transmit the temperature, pH value, dissolved oxygen, water level, and...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9460614/ https://www.ncbi.nlm.nih.gov/pubmed/36081159 http://dx.doi.org/10.3390/s22176700 |
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author | Chen, Chiung-Hsing Wu, Yi-Chen Zhang, Jia-Xiang Chen, Ying-Hsiu |
author_facet | Chen, Chiung-Hsing Wu, Yi-Chen Zhang, Jia-Xiang Chen, Ying-Hsiu |
author_sort | Chen, Chiung-Hsing |
collection | PubMed |
description | Typhoons in summer and cold snaps during winter in Taiwan often cause huge aquaculture losses. Simultaneously, the lack of human resources is a problem. Therefore, we used wireless transmission technology with various sensors to transmit the temperature, pH value, dissolved oxygen, water level, and life expectancy of the sensor in the fish farm to the server. The integrated data are transmitted to mobile devices through the Internet of Things, enabling administrators to monitor the water quality in a fish farm through mobile devices. Because the current pH sensors cannot be submerged in the liquid for a long time for measurements, human resources and time are required to take the instrument to each fish farm for testing at a fixed time. Therefore, a robotic arm was developed to complete automatic measurement and maintenance actions. We designed this arm with a programmable logic controller, a single chip combined with a wireless transmission module, and an embedded system. This system is divided into control, measurement, server, and mobility. The intelligent measurement equipment designed in this study can work 24 h per day, which effectively reduces the losses caused by personnel, material resources, and data errors. |
format | Online Article Text |
id | pubmed-9460614 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-94606142022-09-10 IoT-Based Fish Farm Water Quality Monitoring System Chen, Chiung-Hsing Wu, Yi-Chen Zhang, Jia-Xiang Chen, Ying-Hsiu Sensors (Basel) Article Typhoons in summer and cold snaps during winter in Taiwan often cause huge aquaculture losses. Simultaneously, the lack of human resources is a problem. Therefore, we used wireless transmission technology with various sensors to transmit the temperature, pH value, dissolved oxygen, water level, and life expectancy of the sensor in the fish farm to the server. The integrated data are transmitted to mobile devices through the Internet of Things, enabling administrators to monitor the water quality in a fish farm through mobile devices. Because the current pH sensors cannot be submerged in the liquid for a long time for measurements, human resources and time are required to take the instrument to each fish farm for testing at a fixed time. Therefore, a robotic arm was developed to complete automatic measurement and maintenance actions. We designed this arm with a programmable logic controller, a single chip combined with a wireless transmission module, and an embedded system. This system is divided into control, measurement, server, and mobility. The intelligent measurement equipment designed in this study can work 24 h per day, which effectively reduces the losses caused by personnel, material resources, and data errors. MDPI 2022-09-05 /pmc/articles/PMC9460614/ /pubmed/36081159 http://dx.doi.org/10.3390/s22176700 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Chen, Chiung-Hsing Wu, Yi-Chen Zhang, Jia-Xiang Chen, Ying-Hsiu IoT-Based Fish Farm Water Quality Monitoring System |
title | IoT-Based Fish Farm Water Quality Monitoring System |
title_full | IoT-Based Fish Farm Water Quality Monitoring System |
title_fullStr | IoT-Based Fish Farm Water Quality Monitoring System |
title_full_unstemmed | IoT-Based Fish Farm Water Quality Monitoring System |
title_short | IoT-Based Fish Farm Water Quality Monitoring System |
title_sort | iot-based fish farm water quality monitoring system |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9460614/ https://www.ncbi.nlm.nih.gov/pubmed/36081159 http://dx.doi.org/10.3390/s22176700 |
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