A Cloud-Based with Microcontroller Platforms System Designed to Educate Students within Digitalization and the Industry 4.0 Paradigm
| Autor: | Damir Projović, Aleksandar Đorđević, Albina Gazizulina, Dejan Vidojević, Đorđe Mijailović, Miladin Stefanovic |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
IoT
ultrasonic Performance management Industry 4.0 Computer science Geography Planning and Development TJ807-830 Cloud computing Management Monitoring Policy and Law Special education TD194-195 Field (computer science) Renewable energy sources GE1-350 ThingSpeak education Data collection Environmental effects of industries and plants Renewable Energy Sustainability and the Environment business.industry NodeMcu cloud computing Benchmarking Environmental sciences Engineering management Management system business |
| Zdroj: | Sustainability, Vol 13, Iss 12396, p 12396 (2021) Sustainability Volume 13 Issue 22 |
| ISSN: | 2071-1050 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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