Ainakulov, Zh., Iskakova, A., & Kurmankulova, G.
Smart sensors and internet of things technologies as a basis for resource management in manufacturing processes: the potential of deep learning and VR technologies. |
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Full Article: PDF
Scientific Object Identifier: http://s-o-i.org/1.1/TAS-12-140-37
DOI: https://dx.doi.org/10.15863/TAS.2024.12.140.37
Language: Russian
Citation: Ainakulov, Zh., Iskakova, A., & Kurmankulova, G. (2024). Smart sensors and internet of things technologies as a basis for resource management in manufacturing processes: the potential of deep learning and VR technologies. ISJ Theoretical & Applied Science, 12 (140), 318-322. Soi: http://s-o-i.org/1.1/TAS-12-140-37 Doi: https://dx.doi.org/10.15863/TAS.2024.12.140.37 |
Pages: 318-322
Published: 30.12.2024
Abstract: This paper explores the role of smart sensors and Internet of Things (IoT) technologies in enabling efficient resource management in manufacturing processes. Particular attention is paid to the potential of using deep learning methods to analyze sensor data to improve forecasting accuracy and optimize decision making. The application of virtual reality (VR) technologies for process visualization, model creation, and employee training is also considered. The importance of integrating IoT, deep learning, and VR in developing intelligent control systems aimed at increasing resource efficiency, improving productivity, and reducing manufacturing costs is noted.
Key words: Smart sensors, Internet of Things, IoT, deep learning, virtual reality, VR, resource management, manufacturing processes, optimization, control systems, data analysis, modeling.
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