Automated Monitoring System Development for Equipment Modernization
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Keywords

Industry 4.0, Equipment modernization, Monitoring system, Sensor.

How to Cite

Andrii Bondariev, Svitlana Maksymova, & Vladyslav Yevsieiev. (2023). Automated Monitoring System Development for Equipment Modernization. Journal of Universal Science Research, 1(11), 6–16. Retrieved from https://universalpublishings.com/index.php/jusr/article/view/2484

Abstract

This study examines a problem that arises from the incompatibility of two factors. The first is the desire to improve the enterprise in accordance with the concept of Industry 4.0. And the second is the lack of sufficient material resources due to the high cost of purchasing new equipment that will meet the requirements of Industry 4.0.

In this article, to solve the problem of modernizing enterprise equipment, it is proposed to create a monitoring system. The development of the system architecture is considered. Hardware complex development on the Arduino platform is also given.

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References

Lemstra, M. A. M. S., & de Mesquita, M. A. (2023). Industry 4.0: A tertiary literature review. Technological Forecasting and Social Change, 186, 122204.

Pozzi, R., & et al. (2023). Industry 4.0 technologies: critical success factors for implementation and improvements in manufacturing companies. Production Planning & Control, 34(2), 139-158.

Antony, J., & et al. (2023). Conceptualizing Industry 4.0 readiness model dimensions: An exploratory sequential mixed-method study. The TQM Journal, 35(2), 577-596.

Morteza Ghobakhloo, (2020). Industry 4.0, digitization, and opportunities for sustainability, Journal of Cleaner Production, 252, 119869.

Gustavo Dalmarco, & et al. (2019) Providing industry 4.0 technologies: The case of a production technology cluster. The Journal of High Technology Management Research, 30(2), 100355.

Luca Silvestri, & et al. (2020). Maintenance transformation through Industry 4.0 technologies: A systematic literature review, Computers in Industry, 123, 103335.

Nevliudov, I., Yevsieiev, V., Baker, J. H., Ahmad, M. A., & Lyashenko, V. (2020). Development of a cyber design modeling declarative Language for cyber physical production systems. J. Math. Comput. Sci., 11(1), 520-542.

Nevliudov, I., & et al.. (2020). Method of Algorithms for Cyber-Physical Production Systems Functioning Synthesis. International Journal of Emerging Trends in Engineering Research, 8(10), 7465-7473.

Lyashenko, V., Ahmad, M. A., Sotnik, S., Deineko, Z., & Khan, A. (2018). Defects of communication pipes from plastic in modern civil engineering. International Journal of Mechanical and Production Engineering Research and Development, 8(1), 253-262.

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.

Abu-Jassar, A. T., & et al.. (2022). Electronic user authentication key for access to HMI/SCADA via unsecured internet networks. Computational Intelligence and Neuroscience, 2022.

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. 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.

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.

Sotnik, S., & Lyashenko, V. (2022). Prospects for Introduction of Robotics in Service. Prospects, 6(5), 4-9.

Ahmad, M. A., Sinelnikova, T., Lyashenko, V., & Mustafa, S. K. (2020). Features of the construction and control of the navigation system of a mobile robot. International Journal of Emerging Trends in Engineering Research, 8(4), 1445-1449.

Lyashenko, V., & Sotnik, S. (2020). Analysis of Basic Principles for Sensor System Design Process Mobile Robots. Journal La Multiapp, 1(4), 1-6.

Matarneh, R., Maksymova, S., Zeleniy, O., & Lyashenko, V. (2018). Voice Control for Flexible Medicine Robot. International Journal of ComputerTrends and Technology (IJCTT), 56(1), 1-5.

Mustafa, S. K., Kopot, M., Ahmad, M. A., Lyubchenko, V., & Lyashenko, V. (2020). Interesting applications of mobile robotic motion by using control algorithms. International Journal of Advanced Trends in Computer Science and Engineering, 9(3), 3847-3852.

Abu-Jassar, A. T., Attar, H., Lyashenko, V., Amer, A., Sotnik, S., & Solyman, A. (2023). Access control to robotic systems based on biometric: the generalized model and its practical implementation. International Journal of Intelligent Engineering and Systems, 16(5), 313-328.

Al-Sharo, Y. M., Abu-Jassar, A. T., Sotnik, S., & Lyashenko, V. (2023). Generalized Procedure for Determining the Collision-Free Trajectory for a Robotic Arm. Tikrit Journal of Engineering Sciences, 30(2), 142-151.

RAJ, Alok, & et al. (2020). Barriers to the adoption of industry 4.0 technologies in the manufacturing sector: An inter-country comparative perspective. International Journal of Production Economics, 224, 107546

Julian M. Müller, (2019). Assessing the barriers to Industry 4.0 implementation from a workers’ perspective, IFAC-PapersOnLine, 52(13), 2189-2194.

Jan Stentoft, & et al. (2021). Drivers and barriers for Industry 4.0 readiness and practice: empirical evidence from small and medium-sized manufacturers, Production Planning & Control, 32(10), 811-828.

Chetna Chauhan, & et al. (2021). Barriers to industry 4.0 adoption and its performance implications: An empirical investigation of emerging economy, Journal of Cleaner Production, 285, 124809.

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

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

Zakoldaev, D. A., & et al. (2019). From Industry 3.0 to Industry 4.0: Production modernization and creation of innovative digital companies. In IOP conference series: Materials Science and Engineering, IOP Publishing, 560(1), 012206.

Khan, M. A., & et al. (2020). Midlife upgrade of capital equipment: A servitization-enabled, value-adding alternative to traditional equipment replacement strategies. CIRP Journal of Manufacturing Science and Technology, 29, 232-244.

Shaturaev, J. (2022). Company modernization and diversification processes. ASEAN Journal of Economic and Economic Education, 1(1), 47-60.

Inshakova, E., & Inshakova, A. (2020). Nanomaterials and nanotechnology: prospects for technological re-equipment in the power engineering industry. In IOP Conference Series: Materials Science and Engineering IOP Publishing, 709(3), 033020.

Mourtzis, D., & et al. (2020). Recycling and retrofitting for industrial equipment based on augmented reality. Procedia CIRP, 90, 606-610.

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