A Cloud-Based with Microcontroller Platforms System Designed to Educate Students within Digitalization and the Industry 4.0 Paradigm
The primary purpose of this paper is to present a system intended for student education based on a microcontroller platform and a cloud system where data will be stored. Obtained research results will be based on the application of The NodeMcu platform for data collection with sensor systems. MatLab...
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2021
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oai:doaj.org-article:a24d99a31b6d46088161577e3adc35522021-11-25T19:00:42ZA Cloud-Based with Microcontroller Platforms System Designed to Educate Students within Digitalization and the Industry 4.0 Paradigm10.3390/su1322123962071-1050https://doaj.org/article/a24d99a31b6d46088161577e3adc35522021-11-01T00:00:00Zhttps://www.mdpi.com/2071-1050/13/22/12396https://doaj.org/toc/2071-1050The primary purpose of this paper is to present a system intended for student education based on a microcontroller platform and a cloud system where data will be stored. Obtained research results will be based on the application of The NodeMcu platform for data collection with sensor systems. MatLab, ThingSpeak cloud system, and the Virtuino platform will be used for data presentation. Quantitative data are applied to determine conditions for agriculture system performance management. By analyzing the literature and the current situation in monitoring and managing in the agriculture and ecology field, it can be concluded that there are no special education courses regarding these issues. This knowledge was a good starting point for the research presented in this paper. Accordingly, the findings include developing a monitoring and management system intended for student education in mentioned fields. In addition, the practical implications of this research includes the acquisition of information related to student satisfaction with this method of education in the courses of engineering, agriculture, and ecology. The presented system may enable benchmarking, simulation, and verification of different scenarios to improve students’ knowledge regarding sensors’ application in natural conditions. The originality of the research lies in the presented software solution that can be made available to educational institutions and other scientific institutions to serve as a basis in the overall monitoring and management of agricultural and ecology parameters.Đorđe MijailovićAleksandar ĐorđevićMiladin StefanovicDejan VidojevićAlbina GazizulinaDamir ProjovićMDPI AGarticleeducationIndustry 4.0NodeMcucloud computingIoTultrasonicEnvironmental effects of industries and plantsTD194-195Renewable energy sourcesTJ807-830Environmental sciencesGE1-350ENSustainability, Vol 13, Iss 12396, p 12396 (2021) |
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education Industry 4.0 NodeMcu cloud computing IoT ultrasonic Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350 |
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education Industry 4.0 NodeMcu cloud computing IoT ultrasonic Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350 Đorđe Mijailović Aleksandar Đorđević Miladin Stefanovic Dejan Vidojević Albina Gazizulina Damir Projović A Cloud-Based with Microcontroller Platforms System Designed to Educate Students within Digitalization and the Industry 4.0 Paradigm |
description |
The primary purpose of this paper is to present a system intended for student education based on a microcontroller platform and a cloud system where data will be stored. Obtained research results will be based on the application of The NodeMcu platform for data collection with sensor systems. MatLab, ThingSpeak cloud system, and the Virtuino platform will be used for data presentation. Quantitative data are applied to determine conditions for agriculture system performance management. By analyzing the literature and the current situation in monitoring and managing in the agriculture and ecology field, it can be concluded that there are no special education courses regarding these issues. This knowledge was a good starting point for the research presented in this paper. Accordingly, the findings include developing a monitoring and management system intended for student education in mentioned fields. In addition, the practical implications of this research includes the acquisition of information related to student satisfaction with this method of education in the courses of engineering, agriculture, and ecology. The presented system may enable benchmarking, simulation, and verification of different scenarios to improve students’ knowledge regarding sensors’ application in natural conditions. The originality of the research lies in the presented software solution that can be made available to educational institutions and other scientific institutions to serve as a basis in the overall monitoring and management of agricultural and ecology parameters. |
format |
article |
author |
Đorđe Mijailović Aleksandar Đorđević Miladin Stefanovic Dejan Vidojević Albina Gazizulina Damir Projović |
author_facet |
Đorđe Mijailović Aleksandar Đorđević Miladin Stefanovic Dejan Vidojević Albina Gazizulina Damir Projović |
author_sort |
Đorđe Mijailović |
title |
A Cloud-Based with Microcontroller Platforms System Designed to Educate Students within Digitalization and the Industry 4.0 Paradigm |
title_short |
A Cloud-Based with Microcontroller Platforms System Designed to Educate Students within Digitalization and the Industry 4.0 Paradigm |
title_full |
A Cloud-Based with Microcontroller Platforms System Designed to Educate Students within Digitalization and the Industry 4.0 Paradigm |
title_fullStr |
A Cloud-Based with Microcontroller Platforms System Designed to Educate Students within Digitalization and the Industry 4.0 Paradigm |
title_full_unstemmed |
A Cloud-Based with Microcontroller Platforms System Designed to Educate Students within Digitalization and the Industry 4.0 Paradigm |
title_sort |
cloud-based with microcontroller platforms system designed to educate students within digitalization and the industry 4.0 paradigm |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/a24d99a31b6d46088161577e3adc3552 |
work_keys_str_mv |
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