Program Algorithm for Monitoring System Development
PDF
DOI

Keywords

Monitoring system
Industrial premise
Algorithm
Manufacturing Innovation
Industrial Innovation

How to Cite

Program Algorithm for Monitoring System Development. (2024). Journal of Universal Science Research, 2(7), 33-43. http://universalpublishings.com/index.php/jusr/article/view/6582

Abstract

In our time, the development of a system for monitoring the parameters of the production environment is of great relevance and importance in the current industrial environment for several reasons. First of all, the measurement and analysis of the parameters of the vibrational medium make it possible to ensure the safety of workers and avoid possible accidents and unsafe situations. In other words, monitoring systems allow you to optimize industrial processes by continuously monitoring parameters in real time. This allows you to detect possible malfunctions or anomalies in the plant and immediately respond to them, so as to avoid wasting time and resources. In this article authors propose a program algorithm for parameters of industrial premises monitoring system.

PDF
DOI

References

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.

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(1), 5866922.

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.

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.

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, 10(4), 1645.

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.

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.

Lyashenko, V. V., Matarneh, R., Kobylin, O., & Putyatin, Y. P. (2016). Contour Detection and Allocation for Cytological Images Using Wavelet Analysis Methodology. International Journal, 4(1).

Kuzomin, O., Lyashenko, V., Tkachenko, M., Ahmad, M. A., & Kots, H. (2016). Preventing of technogenic risks in the functioning of an industrial enterprise. International Journal of Civil Engineering and Technology, 7(3), 262-270.

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

Maksymova, S., & et al. (2024). The Monitoring System Architecture Development. Journal of Universal Science Research 2 (1), 69-79.

Nevliudov, I., & et al. (2023). Monitoring System Development for Equipment Upgrade for IIoT. In 2023 IEEE 5th International Conference on Modern Electrical and Energy System (MEES), IEEE, 1-5.

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

Невлюдов, І. Ш., & et al. (2023). Моделі та методи кіберфізичних виробничих систем в концепції Industry 4.0. Oktan Print, Prague, 321.

Bondariev, A., & et al. (2022). Automated Monitoring System Development. M&MS 2022, Kharkiv, 4-7.

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

Євсєєв, В.В., ., & et al. (2020), Технологія процесу керування розробкою кіберфізичних виробничих систем, Вчені записки ТНУ імені В.І. Вернадського. Серія: технічні науки, 31(50), 5, 56-63.

Stetsenko, K., & et al. (2023). Exploring BEAM Robotics for Adaptive and Energy-Efficient Solutions. Multidisciplinary Journal of Science and Technology, 3(4), 193-199.

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.

Lyashenko, V., Laariedh, F., Ayaz, A. M., & Sotnik, S. (2021). Recognition of Voice Commands Based on Neural Network. TEM Journal: Technology, Education, Management, Informatics, 10(2), 583-591.

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.

Tahseen A. J. A., & et al.. (2023). Binarization Methods in Multimedia Systems when Recognizing License Plates of Cars. International Journal of Academic Engineering Research (IJAER), 7(2), 1-9.

Lyashenko, V., Kobylin, O., & Selevko, O. (2020). Wavelet analysis and contrast modification in the study of cell structures images. International Journal of Advanced Trends in Computer Science and Engineering, 9(4), 4701-4706.

Maksymova, S., Matarneh, R., & Lyashenko, V. V. (2017). Software for Voice Control Robot: Example of Implementation. Open Access Library Journal, 4, e3848.

Al-Sherrawi, M. H., Saadoon, A. M., Sotnik, S., & Lyashenko, V. (2018). Information model of plastic products formation process duration by injection molding method. International Journal of Mechanical Engineering and Technology, 9(3), 357-366.

Matarneh, R., & et al.. (2019). Development of an Information Model for Industrial Robots Actuators. IOSR Journal of Mechanical and Civil Engineering (IOSR-JMCE), 16(1), 61-67.

Lyashenko, V., & et al.. (2015). Experiments with Fusion of Images with Use of Wavelet Transformation in Problems of the Text Information Analysis. International Journal of Engineering Research and General Science, 3(6), 14-20.

Sotnik, S., & et al.. (2022). Analysis of Existing Infliences in Formation of Mobile Robots Trajectory. International Journal of Academic Information Systems Research, 6(1), 13-20.

Lyashenko, V., Zeleniy, O., Mustafa, S. K., & Ahmad, M. A. (2019). An advanced methodology for visualization of changes in the properties of a dye. International Journal of Engineering and Advanced Technology, 9(1), 711-7114.

Mousavi, S.M.H.; MiriNezhad, S.Y.; Lyashenko, V. An evolutionary-based adaptive Neuro-fuzzy expert system as a family counselor before marriage with the aim of divorce rate reduction. In Proceedings of the 2nd International Conference on Research Knowledge Base in Computer Engineering and IT, Uttrakhand, India, 24–26 March 2017.

Marquès, J. M., & et al. (2022). Using a notification, recommendation and monitoring system to improve interaction in an automated assessment tool: An analysis of students’ perceptions. International Journal of Human–Computer Interaction, 38(4), 351-370.

Xia, C., & et al. (2020). A review on wire arc additive manufacturing: Monitoring, control and a framework of automated system. Journal of manufacturing systems, 57, 31-45.

Clot, B., & et al. (2024). The EUMETNET AutoPollen programme: establishing a prototype automatic pollen monitoring network in Europe. Aerobiologia, 40(1), 3-11.

Kerimov, M., & et al. (2020). Methodological aspects of building mathematical model to evaluate efficiency of automated vehicle traffic control systems. Transportation Research Procedia, 50, 253-261.

Guo, Y., & et al. (2020). Research and development of monitoring system and data monitoring system and data acquisition of CNC machine tool in intelligent manufacturing. International Journal of Advanced Robotic Systems, 17(2), 1729881419898017.

Mourtzis, D., & et al. (2021). Design and development of an IoT enabled platform for remote monitoring and predictive maintenance of industrial equipment. Procedia Manufacturing, 54, 166-171.

Hossain, M. L., & et al. (2020). Industrial IoT based condition monitoring for wind energy conversion system. CSEE Journal of Power and Energy Systems, 7(3), 654-664.

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.