The Monitoring System Architecture Development
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Keywords

IoT, Monitoring system, Production parameters, Sensor.

How to Cite

The Monitoring System Architecture Development. (2024). Journal of Universal Science Research, 2(1), 69-79. http://universalpublishings.com/index.php/jusr/article/view/3778

Abstract

To implement the principles of the IoT concept, many production facilities must be re-equipped. Some of them must completely replace all existing equipment with new ones. This leads to significant costs. However, it is possible to develop external monitoring systems that, when connected to existing equipment, greatly expand the capabilities of the equipment. This allows you to modernize existing equipment and introduce IoT principles into production. In this article, the authors present the development of such a monitoring system for production.

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References

Sotnik, S. Overview of Modern Accelerometers / S. Sotnik, V. Lyashenko // International Journal of Engineering and Information Systems (IJEAIS). – Vol. 6(1). – 2022. – P. 57-64.

Lyashenko, V., Sotnik, S., & Manakov, V. (2021). Modern CAD/CAM/CAE Systems: Brief Overview. International Journal of Engineering and Information Systems (IJEAIS), 5(11), 32-40.

Attar, H., Abu-Jassar, A. T., Lyashenko, V., Al-qerem, A., Sotnik, S., Alharbi, N., & Solyman, A. A. (2023). Proposed synchronous electric motor simulation with built-in permanent magnets for robotic systems. SN Applied Sciences, 5(6), 160.

Baker, J. H., Laariedh, F., Ahmad, M. A., Lyashenko, V., Sotnik, S., & Mustafa, S. K. (2021). Some interesting features of semantic model in Robotic Science. SSRG International Journal of Engineering Trends and Technology, 69(7), 38-44.

Al-Sharo Y., & et al. (2023). A Robo-hand prototype design gripping device within the framework of sustainable development. Indian Journal of Engineering, 20, e37ije1673.

Abu-Jassar, A. T., Attar, H., Yevsieiev, V., Amer, A., Demska, N., Luhach, A. K., & Lyashenko, V. (2022). Electronic User Authentication Key for Access to HMI/SCADA via Unsecured Internet Networks. Computational Intelligence and Neuroscience, 2022, 5866922.

Abu-Jassar, A. T., Al-Sharo, Y. M., Lyashenko, V., & Sotnik, S. (2021). Some Features of Classifiers Implementation for Object Recognition in Specialized Computer systems. TEM Journal: Technology, Education, Management, Informatics, 10(4), 1645-1654.

Al-Sharo, Y. M., Abu-Jassar, A. T., Sotnik, S., & Lyashenko, V. (2021). Neural Networks As A Tool For Pattern Recognition of Fasteners. International Journal of Engineering Trends and Technology, 69(10), 151-160.

Dat, M. N., & et al. (2023). Assessment of energy efficiency using an energy monitoring system: A case study of a major energy-consuming enterprise in Vietnam. Energies, 16(13), 5214.

Bondariev, A., & et al. (2023). Automated Monitoring System Development for Equipment Modernization. Journal of Universal Science Research, 1(11), 6-16.

Yevsieiev, V., & et al. (2023). An Automatic Assembly SMT Production Line Operation Technological Process Simulation Model Development. International Science Journal of Engineering & Agriculture, 2(2), 1-9.

Lyashenko, V., & et al. (2023). Automated Monitoring and Visualization System in Production. Int. Res. J. Multidiscip. Technovation, 5(6), 09-18.

Yevsieiev, V., & et al. (2022). Development of A System for the Production Process Monitoring Using Telegram Bot. In the III International Scientific and Theoretical Conference “The Current State of Development of World Science: Characteristics and Features”, Lisbon, Portuguese Republic, 70-72.

Sotnik, S., Mustafa, S. K., Ahmad, M. A., Lyashenko, V., & Zeleniy, O. (2020). Some features of route planning as the basis in a mobile robot. International Journal of Emerging Trends in Engineering Research, 8(5), 2074-2079.

Nevliudov, I., Yevsieiev, V., Lyashenko, V., & Ahmad, M. A. (2021). GUI Elements and Windows Form Formalization Parameters and Events Method to Automate the Process of Additive Cyber-Design CPPS Development. Advances in Dynamical Systems and Applications, 16(2), 441-455.

Mustafa, S. K., Yevsieiev, V., Nevliudov, I., & Lyashenko, V. (2022). HMI Development Automation with GUI Elements for Object-Oriented Programming Languages Implementation. SSRG International Journal of Engineering Trends and Technology, 70(1), 139-145.

Sotnik, S., Matarneh, R., & Lyashenko, V. (2017). System model tooling for injection molding. International Journal of Mechanical Engineering and Technology, 8(9), 378-390.

Lyashenko, V., Deineko, Z., & Ahmad, A. (2015). Properties of wavelet coefficients of self-similar time series. International Journal of Scientific and Engineering Research, 6(1), 1492-1499.

Lyashenko, V., Kobylin, O., & Ahmad, M. A. (2014). General methodology for implementation of image normalization procedure using its wavelet transform. International Journal of Science and Research (IJSR), 3(11), 2870-2877.

Liu, W., & et al. (2020). A method of NC machine tools intelligent monitoring system in smart factories. Robotics and computer-integrated manufacturing, 61, 101842.

Chen, W. (2020). Intelligent manufacturing production line data monitoring system for industrial internet of things. Computer communications, 151, 31-41.

Liu, Y., & et al. (2020). Research on digital production technology for traditional manufacturing enterprises based on industrial Internet of Things in 5G era. The International Journal of Advanced Manufacturing Technology, 107, 1101-1114.

Kuntoğlu, M., & et al. (2020). A review of indirect tool condition monitoring systems and decision-making methods in turning: Critical analysis and trends. Sensors, 21(1), 108.

Milić, S. D., & Babić, B. M. (2020). Toward the future—upgrading existing remote monitoring concepts to IIoT concepts. IEEE Internet of Things Journal, 7(12), 11693-11700.

Cohen, S., & Macek, J. (2021). Cyber-physical process monitoring systems, real-time big data analytics, and industrial artificial intelligence in sustainable smart manufacturing. Economics, Management and Financial Markets, 16(3), 55-67.

Andronie, M., & et al. (2021). Artificial intelligence-based decision-making algorithms, internet of things sensing networks, and deep learning-assisted smart process management in cyber-physical production systems. Electronics, 10(20), 2497.

Nath, C. (2020). Integrated tool condition monitoring systems and their applications: a comprehensive review. Procedia Manufacturing, 48, 852-863.

Kung, C. C., & et al. (2022). The development of input-monitoring system on biofuel economics and social welfare analysis. Science Progress, 105(3), 00368504221118350.

Shin, K. Y., & Park, H. C. (2019). Smart manufacturing systems engineering for designing smart product-quality monitoring system in the industry 4.0. In 2019 19th International Conference on Control, Automation and Systems (ICCAS), IEEE, 1693-1698.

Sari, M. W., & et al. (2020). Design of product monitoring system using internet of things technology for smart manufacturing. In IOP Conference Series: Materials Science and Engineering, 835(1) IOP Publishing, 012048.

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