PERFORMANCE LEVEL OF COMPLETE TECHNICAL CONTROL FOR FAILURE OF SELF-PROPELLED SPRAYERS
Abstract
In the article, the author conducted a meaningful analysis of the processes of technical control of self-propelled sprayers, on the basis of which the initial prerequisites were formulated and the requirements for the information support system of technical control of self-propelled sprayers were substantiated. An information model of the system of technical control of self-propelled sprayers has been developed, which is a formalized description of objects and processes of technical control of self-propelled sprayers in an agricultural company, taking into account their hierarchical structure. With its use, the main blocks and relationships between its blocks are defined. The formed system of technical control of self-propelled sprayers consists of blocks. The formed system of technical control of self-propelled sprayers consists of blocks. The system of technical control of self-propelled sprayers is considered from the position that reflects the actual implementation of technical control operations of self-propelled sprayers within the framework of known regulatory and technical requirements. In this regard, the composition and structure of the information model of the system of technical control of self-propelled sprayers is largely determined by the level of its functioning under consideration. As this level, a certain territorial education is highlighted as the most general case, and then possible ways of transition to individual cases are presented. Each block differs in levels of detail depending on the integrity and content of the information material and the specifics of the subject area, designed as an autonomous unit, but can be used as a component in other information systems. The file structure of the information base was created for the use of the main blocks of the system of technical control of self-propelled sprayers and their components. Each block differs in levels of detail depending on the integrity and content of the information material and the specifics of the subject area, designed as an autonomous unit, but can be used as a component in other information systems. The file structure of the information base has been created for the use of the main blocks of the system of technical control of self-propelled sprayers and their components. The developed block of technical control operations consists of information components that describe in detail a complete set of operations in the amount of 115 from the technical control of self-propelled sprayers in the form of a single technological process, including equipment, devices and tools used in maintenance.Technological processes are considered in terms of each brand of self-propelled sprayer. The equipment and equipment block contains information about 30 components. In the tools and devices block, the number of described objects is 58. The fuel, lubricants and consumables block contains information on 14 components. The total amount of information of the system of technical control of self-propelled sprayers is 58 MB.
References
2. Craessaerts, G., De Baerdemaeker, J. & Saeys, W. (2020). Fault diagnostic systems for agricultural machinery. Biosystems Engineering, 106(1): 26–36.
3. Findura, P., Turan, J., Jobbágy, J., Angelovič, M. & Ponjican, O. (2019). Evaluation of work quality of the green peas self-propelled sprayers. Research in agricultural engineering, 59: 56–60.
4. Hanna, H. M. & Jarboe, D. H. (2021). Effects of full, abbreviated, and no clean-outs on commingled grain during selfpropelled sprayers. Applied Engineering in Agriculture, 27(5): 687–695.
5. 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.
6. Korenko, M., Bujna, M., Földešiová, D., Dostál, P. & Kyselica, P. (2015). Risk analysis at work in manufacturing organization. Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 63: 1493–1497.
7. Lee, D. H., Kim, Y. J., Choi, C. H., Chung, S. O., Nam, Y. S. & So, J. H. (2016). Evaluation of operator visibility in three different cabins type Far-East self-propelled sprayers. International Journal of Agricultural and Biological Engineering, 9(4): 33–44.
8. Li, P. (2020). Design and experimental study of broadband hybrid energy self-propelled sprayers with frequency-up conversion and nonlinear magnetic force. Micro- and Nanosystems Information Storage and Processing Systems, 5. https://doi.org/10.1007/ s00542-019-04716-5.
9. Meng, A. (2020). Modeling and experiments on Galfenol energy self-propelled sprayers. Acta Mechanica. Sinica. https://doi. org/10.1007/s10409-020-00943-6.
10. 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.
11. 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.
12. 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.
13. Prístavka, M. & Bujna, M. (2013). Use of satatical methods in quality control. Acta Technologica Agriculturae. SUA in Nitra, 13: 33–36.
14. Prístavka, M., Bujna, M. & Korenko, M. (2013). Reliability monitoring of self-propelled sprayers in operating conditions. Journal of Central European Agriculture, 14: 1436–1443.
15. 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.
16. 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.
17. 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.
18. 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.
19. 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.
20. 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.
21. 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.
22. 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.
23. 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.
24. 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.
25. Savickas, D. (2020). Self-propelled sprayers fuel consumption and air pollution reduction. Water, Air & Soil Pollution. 231: 95. https://doi.org/10.1007/ s11270-020-4466-5.
26. Singh, M., Verma, A. & Sharma, A. (2012). Precision in grain yield monitoring technologies: a review. AMA-Agricultural Mechanization in Asia Africa and Latin America, 43(4): 50–59.
27. Toro, A., Gunnarsson, C., Lundin, G. & Jonsson, N. (2021). Cereal harvesting – strategies and costs under variable weather conditions. Biosystems Engineering, 111(4): 429–439.
28. Viba, J. & Lavendelis, E. (2006). Algorithm of synthesis of strongly non-linear mechanical systems. Industrial Engineering – Innovation as Competitive Edge for SME, 22 April 2006. Tallinn, Estonia: 95–98.
29. 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.
30. Žitňák, M., Kollárová, K., Macák, M., Prístavková, M. & Bošanský, M. (2015). Assessment of risks in the field of safety, quality and environment in post-harvest line. Research in Agricultural Engineering, 61: 26–36.
31. Žitňák, M., Macák, M. & Korenko, M. (2014). Assessment of risks in implementing automated satellite navigation systems. Research in Agricultural Engineering, 60: 16–24.
ISSN 
ISSN 
