DEVELOPMENT AND IMPLEMENTATION OF INTEGRATED SOLUTIONS BASED ON IIOT FOR THE INTELLIGENT PACKAGING
Abstract
The synthesis of mechatronic modules combining heterogeneous physical principles is an urgent task of modern engineering. The study focuses on the development and implementation of integrated solutions based on IIoT to optimize the operation of robotic manipulators intended for product packaging. A methodology for processing data at the level of IIoT endpoints is proposed to minimize the amount of transmitted information and increase the efficiency of the system. To solve the tasks, an unconventional approach was taken, identifying certain methods of mathematical modeling and optimization. Models and simulation methods were developed for processing information on the endpoints of IІoT devices related to packaging equipment, aiming to reduce the amount of data transmitted and stored in IIoT systems. In the paper, based on the research results, a study was conducted on the influences of various parameters on the accuracy of dosing and recommendations were developed for optimizing the process.
References
2. Moraes, M. S. Experimental quantification of the head loss coefficient K for fittings and semi-industrial pipe cross section solid concentration profile in pneumatic conveying of polypropylene pellets in dilute phase. Powder Technology, 250-263. https://doi.org/10.1016/j.powtec.2017.01.039
(2017).
3. Dychka, I., Sulema, Ye., & Bukhtiiarov, Iu. Digital Twin Information Technology for Biomedical Data Complex Representation and Processing. Visnik Hersons'kogo nacional'nogo tekhnichnogo universitetu, (70), No 3, 112-119. (2019).
4. Gavva, O., & Kryvoplias-Volodina, L. Structural-parametric synthesis of hydro-mechanical drive of hoisting and lowering mechanism of package-forming machines. Eastern-European Journal of Enterprise Technologies, 5/7(89), 39-44. doi:10.15587/1729-4061.2017.111552 (2017).
5. Donovan, R. C. A theoretical melting model for plasticating extruders. Polymer Engineering and Science, 11(3), 247-257. doi:10.1002/pen.760110313(1971).
6. Zhang, P., Roberts, R. M., & Bénard, A. Computational guidelines and an empirical model for particle deposition in curved pipes using a Eulerian-Lagrangian approach. Journal of Aerosol Science, 53(Supplement C), 1-20. URL: http://www.sciencedirect.com/science/article/pii/S0021850212000997 (2012).
7. Rohrig, R., Jakirlic, S., & Tropea, C. Comparative computational study of turbulent flow in a 90° pipe elbow. International Journal of Heat and Fluid Flow, 55, 120-131. (2015).
8. Li, K., Kuang, S. B., Pan, R. H., & Yu, A. B. (2014). Numerical study of horizontal pneumatic conveying: Effect of material properties. Powder Technology, 251, 15-24.
9. Bogdanov, V. S., Lozovaya, S. Yu., Fadin, Yu. M., & Gavrilenko, A. V. Research of influence of the main parameters on the capability of the pneumatic chamber pump with multijet aeration unit. International Journal of Pharmacy & Technology, 8(4), 24669-24680. (2016).
10. Zhang, H., & Liu, M. Dense gas-particle flow in vertical channel by multi-lattice trajectory model. Science in China Series E: Technological Sciences, 55(2), 542-554. https://doi.org/10.1007/s11431-011-4578-7 (2012).
11. Raheman, H., & Jindal, V. Solid velocity estimation in vertical pneumatic conveying of agricultural grains. Applied Engineering in Agriculture, 17(2), 233-245. doi: 10.13031/2013.6903. (2021).
12. Raheman, Hifjur & Jindal, V. Solid velocity estimation in vertical pneumatic conveying of agricultural grains. Applied Engineering in Agriculture,7, 233–245. doi: 10.13031/2013.6903. (2001).
13. Lu C.-S. Multimedia Security: Steganography and Digital Watermarking Techniques for Protection of Intellectual Property. Idea Group Inc (IGI), 268 p. (2004).
14. Rubio-Tamayo J. L., Gertrudix B. M., García G. F. Immersive Environments and Virtual Reality: Systematic Review and Advances in Communication, Interaction and Simulation. Multimodal Technologies Interaction, Vol. 1 (4), 21 p. (2017).
15. Bozzelli L. et al. Interval vs. Point Temporal Logic Model Checking: an Expressiveness Comparison. ACM Transactions on Computational Logic, Vol. 1, Article 4, 31 p. (2019).
