SIMULATION OF LEVEL OF MACHINE UTILIZATION OF GRAIN HARVESTING COMBINERS BY NETWORK OF FUNCTIONAL MASS SERVICE CHAINS
Abstract
In the article, the author presents the results of the substantiation of the main indicator of the decrease in the technical equipment of agricultural production and the reliability of the functioning of the equipment, which increases the problem of the efficiency of the operation of grain harvesters. The lack of methods for optimizing the repair and service of grain harvesters, taking into account the variety of variable factors, do not ensure sufficient reliability of their use. The state of combine harvesters in the process of its intended use under the influence of operating conditions changes continuously. The conditions of operation of combine harvesters are determined by: the nomenclature of agricultural works for the planned period, the natural and climatic conditions and the conditions of technical operation of combine harvesters. The developed method of determining the level of operation of grain harvesters as a complex dimensionless indicator of the operating conditions allows to assess the state of operation of grain harvesters in a specific farm.The level of operation of combine harvesters is characterized by a list of generalized and determining factors that reflect the conditions of technical operation, the differentiation of agricultural work by combine harvesters for the planned period and have weights, the values of which depend on the degree of influence of natural and climatic conditions, the conditions of performance of work groups and technical operation operations on resource consumption of equipment units. It was established that the level of equipment operation is determined by six generalized factors: differentiation of mechanized work of combine harvesters, quality of maintenance and diagnostics, quality of running-in of new and repaired combine harvesters, organization and quality of repair, storage, refueling and quality of fuel and lubricants, combiner characteristics and 24 determining factors. Certain confidence intervals of the most distant point from the average level of the generalized factor with a confidence probability of 0.9 do not exceed 6%, which is within acceptable limits. A program has been developed for calculating the importance of determining, generalized factors and the level of operation of grain harvesters.
References
2. Forgó, Z., Tolvaly-Ros, ca F., Pásztor, J. & Kovari, A. (2021). Energy consumption evaluation of active tillage machines using dynamic modelling. Application Science, 11: 6240. https://doi.org/10.3390/app11146240.
3. Hrynkiv, A., Rogovskii, I., Aulin, V., Lysenko, S., Titova, L., Zagurskіy, O. & Kolosok, I. (2020). Development of a system for determining the informativeness of the diagnosing parameters of the cylinder-piston group of the diesel engines in operation. Eastern-European Journal of Enterprise Technologies, 3(105): 19–29. https://doi.org/10.15587/1729-4061.2020.206073.
4. Kuzmich, I. M., Rogovskii, I. L., Titova, L. L. & Nadtochiy, O. V. (2021). Research of passage capacity of combine harvesters depending on agrobiological state of bread mass. IOP Conference Series: Earth and Environmental Science, 677: 052002. https://doi.org/ 10.1088/ 1755-1315/677/5/052002.
5. Liu, Z., Cao, S. & Sun, Z. (2021). Tillage effects on soil properties and crop yield after land reclamation. Scientifc Reports, 11: 4611. https://doi.org/10.1038/s41598-021-84191-z.
6. Luo, A. C. J. & Guo, Y. (2013). Vibro-impact Dynamics. Berlin: Springer-Verlag: 213.
7. Masek, J., Novak, P. & Jasinskas, A. (2017). Evaluation of combine harvester operation costs in different working conditions. Engineering for Rural Development, 16: 1180–1185. https://doi.org/10.15587/1729-4061.2017.118135.
8. Nazarenko, I., Dedov, O., Bernyk, I., Rogovskii, I., Bondarenko, A., Zapryvoda, A. & Titova, L. (2020). Study of stability of modes and parameters of motion of vibrating machines for technological purpose. Eastern-European Journal of Enterprise Technologies, 6(7–108): 71–79. https://doi.org/10.15587/1729-4061.2020.217747.
9. Nazarenko, I., Mishchuk, Y., Mishchuk, D., Ruchynskyi, M., Rogovskii, I., Mikhailova, L., Titova, L., Berezovyi, M. & Shatrov, R. (2021). Determiantion of energy characteristics of material destruction in the crushing chamber of the vibration crusher. Eastern-European Journal of Enterprise Technologies, 4(7(112)): 41–49. https://doi.org/10.15587/1729-4061.2021 .239292.
10. Novotny, J. (2016). Technical and natural sciences teaching at engineering faculty of FPTM UJEP. Engineering for Rural Development, 15: 16–20. https://doi.org/10.15587/1729-4061.2016.239292.
11. Palamarchuk, I., Rogogvskii, I., Titova, L. & Omelyanov, O. (2021). Experimental evaluation of energy parameters of volumetric vibroseparation of bulk feed from grain. Engineering for Rural Development, 20: 1761–1767. https://doi.org/10.22616/ERDev.2021. 20.TF386.
12. Pinzi, S., Cubero-Atienza, A. J. & Dorado, M. P. (2016). Vibro-acoustic analysis procedures for the evaluation of the sound insulation characteristics of agricultural machinery. Journal of Sound and Vibration, 266(3): 407–441.
13. Rogovskii, I. L. & Titova, L. L. (2021a). Change of technical condition and productivity of grain harvesters depending on term of operation. IOP Conference Series: Earth and Environmental Science, 720: 012110. https://doi.org/10.1088/1755-1315/720/1/012110.
14. Rogovskii, I. L. & Titova, L. L. (2021b). Modeling of normativity of criteria of technical level of forage harvesters combines. IOP Conference Series: Earth and Environmental Science, 720: 012109. https://doi.org/ 10.1088/1755-1315/720/1/012109.
15. Rogovskii, I. L. & Titova, L. L. (2021c). Modeling the weight of criteria for determining the technical level of agricultural machines. IOP Conference Series: Earth and Environmental Science, 677: 022100. https://doi.org/10.1088/1755-1315/677/2/022100.
16. Rogovskii, I. L. (2019). Systemic approach to justification of standards of restoration of agricultural machinery. Machinery & Energetics. Journal of Rural Production Research. Kyiv. Ukraine, 10(3): 181–187. https://doi.org/10.31548/machenergy2019.03.181.
17. Rogovskii, I. L., Titova, L. L. & Berezova, L. V. (2021a). Conceptual bases of system technology of designing of logistic schemes of harvesting and transportation of grain crops. IOP Conference Series: Earth and Environmental Science, 723: 032032. https://doi.org/10.1088/1755-1315/723/3/032032.
18. Rogovskii, I. L., Titova, L. L., Gumenyuk, Yu. O. & Nadtochiy, O. V. (2021b). Technological effectiveness of formation of planting furrow by working body of passive type of orchard planting machine. IOP Conference Series: Earth and Environmental Science, 839: 052055. https://doi.org/10.1088/1755-1315/839/5/052055.
19. Rogovskii, I., Titova, L., Sivak, I., Berezova, L. & Vyhovskyi, A. (2022). Technological effectiveness of tillage unit with working bodies of parquet type in technologies of cultivation of grain crops. Engineering for Rural Development, 21: 884–890. https://doi.org/10.22616/ERDev.2022.21.TF279.
20. Rogovskii, I. L. (2020). Model of stochastic process of restoration of working capacity of agricultural machine in inertial systems with delay. Machinery & Energetics. Journal of Rural Production Research. Kyiv. Ukraine, 11(3): 143–150.
21. Rogovskii, I., Titova, L., Novitskii, A. & Rebenko, V. (2019). Research of vibroacoustic diagnostics of fuel system of engines of combine harvesters. Engineering for Rural Development, 18: 291–298. https://doi.org/10.22616/ERDev2019.18.N451.
22. Romaniuk, W., Polishchuk, V., Marczuk, A., Titova, L., Rogovskii, I. & Borek, K. (2018). Impact of sediment formed in biogas production on productivity of crops and ecologic character of production of onion for chives. Agricultural Engineering, 22(1): 105–125. https://doi.org/10.1515/agriceng-2018-0010.
23. Sergejeva, N., Aboltins, A., Strupule, L. & Aboltina, B. (2018). Mathematical knowledge in elementary school and for future engineers. Engineering for Rural Development, 17: 1166–1172. https://doi.org/10.22616/ERDev2018.17.N451.
24. Viba, J. & Lavendelis, E. (2006). Algorithm of synthesis of strongly non-linear mechanical systems. In Industrial Engineering – Innovation as Competitive Edge for SME, 22 April 2006. Tallinn, Estonia: 95–98.
25. Yata, V. K., Tiwari, B. C. & Ahmad, I. (2018). Nanoscience in food and agriculture: research, industries and patents. Environmental Chemistry Letters, 16: 79–84.
26. Zagurskiy, О., Ohiienko, M., Rogach, S., Pokusa, T., Titova, L. & Rogovskii, I. (2018). Global supply chain in context of new model of economic growth. Conceptual bases and trends for development of social-economic processes. Monograph. Opole. Poland: 64–74.
ISSN 
ISSN 
