Leveraging IoT and industry 4.0 for enhanced environmental safety
Smart water for the quality monitoring is to be gaining in importance with a advancements in communication technology. The Web of Things (IoT) gets the associations among different gadgets with the capacity to trade and getting information. IoT additionally stretches out its ability to ecological is...
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Format: | Article |
Language: | English |
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REA Press
2023-12-01
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Series: | Computational Algorithms and Numerical Dimensions |
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Online Access: | https://www.journal-cand.com/article_166517_cd9f96ac5130641c48ec4b10d7437f12.pdf |
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author | Javad Pourqasem Duško Tešić Eisa Abdolmaleki |
author_facet | Javad Pourqasem Duško Tešić Eisa Abdolmaleki |
author_sort | Javad Pourqasem |
collection | DOAJ |
description | Smart water for the quality monitoring is to be gaining in importance with a advancements in communication technology. The Web of Things (IoT) gets the associations among different gadgets with the capacity to trade and getting information. IoT additionally stretches out its ability to ecological issues notwithstanding the computerization industry by utilizing industry 4.0. As water is one of the fundamental necessities of human endurance, it is expected to consolidate some instruments to screen water quality from the opportunity to time. Around 45% of passing’s are caused because of defiled water on the planet. Subsequently, there is a need to guarantee the supply of filtered drinking water for individuals both in urban areas and towns. Water Quality Monitoring is a practical and proficient framework intended to screen drinking water quality that utilizes Internet of Things (IoT) innovation. In this paper, the proposed framework comprises a few sensors to gauge different boundaries, for example, pH esteem, and turbidity in the water, level of water in the tank, temperature, and mugginess of the encompassing air. And for more, information the Microcontroller Unit (MCU) is connected to these sensors and handled with a Personal Computer (PC). The got information is shipped off the cloud by utilizing IoT based Think Speak application to screen the nature of the water. |
format | Article |
id | doaj-art-4becf451a1524a0fa7715748006e2510 |
institution | Kabale University |
issn | 2980-7646 2980-9320 |
language | English |
publishDate | 2023-12-01 |
publisher | REA Press |
record_format | Article |
series | Computational Algorithms and Numerical Dimensions |
spelling | doaj-art-4becf451a1524a0fa7715748006e25102025-01-30T11:22:31ZengREA PressComputational Algorithms and Numerical Dimensions2980-76462980-93202023-12-012423423910.22105/cand.2023.166517166517Leveraging IoT and industry 4.0 for enhanced environmental safetyJavad Pourqasem0Duško Tešić1Eisa Abdolmaleki2Department of Computer Engineering, Urmia University, Urmia, Iran.University of Defence in Belgrade, Belgrade, Serbia.Department of Mathematics, Tonekabon Branch, Islamic Azad University, Tonekabon, Iran.Smart water for the quality monitoring is to be gaining in importance with a advancements in communication technology. The Web of Things (IoT) gets the associations among different gadgets with the capacity to trade and getting information. IoT additionally stretches out its ability to ecological issues notwithstanding the computerization industry by utilizing industry 4.0. As water is one of the fundamental necessities of human endurance, it is expected to consolidate some instruments to screen water quality from the opportunity to time. Around 45% of passing’s are caused because of defiled water on the planet. Subsequently, there is a need to guarantee the supply of filtered drinking water for individuals both in urban areas and towns. Water Quality Monitoring is a practical and proficient framework intended to screen drinking water quality that utilizes Internet of Things (IoT) innovation. In this paper, the proposed framework comprises a few sensors to gauge different boundaries, for example, pH esteem, and turbidity in the water, level of water in the tank, temperature, and mugginess of the encompassing air. And for more, information the Microcontroller Unit (MCU) is connected to these sensors and handled with a Personal Computer (PC). The got information is shipped off the cloud by utilizing IoT based Think Speak application to screen the nature of the water.https://www.journal-cand.com/article_166517_cd9f96ac5130641c48ec4b10d7437f12.pdfdeep learningpython, wireless network communicationwater treatment |
spellingShingle | Javad Pourqasem Duško Tešić Eisa Abdolmaleki Leveraging IoT and industry 4.0 for enhanced environmental safety Computational Algorithms and Numerical Dimensions deep learning python, wireless network communication water treatment |
title | Leveraging IoT and industry 4.0 for enhanced environmental safety |
title_full | Leveraging IoT and industry 4.0 for enhanced environmental safety |
title_fullStr | Leveraging IoT and industry 4.0 for enhanced environmental safety |
title_full_unstemmed | Leveraging IoT and industry 4.0 for enhanced environmental safety |
title_short | Leveraging IoT and industry 4.0 for enhanced environmental safety |
title_sort | leveraging iot and industry 4 0 for enhanced environmental safety |
topic | deep learning python, wireless network communication water treatment |
url | https://www.journal-cand.com/article_166517_cd9f96ac5130641c48ec4b10d7437f12.pdf |
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