Issue №: 2 (129)
The journal solves the problems of creation and improvement of machinery and technologies for agriculture: 131 - Applied Mechanics, 132 - Materials Science, 133 - Industrial Engineering, 141 - Power Engineering, Electrical Engineering and Electromechanics, 208 - Agricultural Engineering.
JUSTIFICATION OF METHODS AND TECHNICAL MEANS FOR DIAGNOSING TECHNICAL PARAMETERS OF MILKING EQUIPMENT
Elchyn ALIIEV – Doctor of Technical Sciences, Senior Researcher, Professor of the Department of Technical Systems Engineering of Dnipro State Agrarian and Economic University (St. S. Efremova, 25, Dnipro, Ukraine, 49000, e-mail: aliev@meta.ua, https://orcid.org/0000-0003-4006-8803).
Yevhenii NOSENKO – Postgraduate Student of Dnipro State Agrarian and Economic University (St. S. Efremova, 25, Dnipro, Ukraine, 49000, e-mail: vsetut13@gmail.com, https://orcid.org/0009-0006-1115-7443).
This study addresses the issue of technical reliability and efficiency of milking equipment, which is a crucial element of modern dairy production. It has been established that the technical condition of milking systems directly affects product quality, animal health, and overall farm productivity. Despite the existence of international standards (ISO 3918, ISO 5707, ISO 6690), the current diagnostic methods are largely outdated, highlighting the relevance of developing modern diagnostic instruments. The research reviews recent scientific advancements in monitoring the technical state of milking equipment, including the application of IoT technologies, machine learning (ML), sensor systems, and augmented reality (AR). The effectiveness of using LSTM and ARIMA models for failure prediction is demonstrated, along with the implementation of RGBD cameras, electrical conductivity, and infrared spectroscopy for improving milking quality and diagnosing animal health issues. The study presents original technical solutions: the Milking Installation Tester v.2.0 based on Arduino Mega 2560, which allows the measurement of key parameters such as pressure, pulsation, temperature, air flow, and rotational frequency; and a testing stand for evaluating the condition of teat liners, enabling assessment of tension and elongation under real operating conditions. The system supports external sensor connectivity, USB data transmission, and further processing in Excel, including hysteresis graph plotting. An adaptive maintenance approach is proposed, based on actual operating hours rather than a fixed schedule, considering the variability in component quality from different manufacturers. The study concludes that the implementation of integrated monitoring systems and technical bulletins can enhance operational efficiency. The deployment of the proposed methods and devices significantly improves the reliability of milking systems, reduces failure risks, enhances animal welfare, and increases the overall economic efficiency of dairy farms.
1. Aliiev, E., Paliy, A., Paliy, A., Kis, V., Levkin, A., Kotko, Y., Levchenko, I., Shkurko, M., Svysenko, S., & Sevastianov, V. (2022). Increasing energy efficiency and enabling the process of vacuum mode stabilization during the operation of milking equipment. Eastern-European Journal of Enterprise Technologies, 6(1(120)), 62–69. DOI: https://doi.org/10.15587/1729-4061.2022.267799. [in English].
2. Shevchenko, I.A., Aliiev, E.B. (2013). Naukovo-metodychni rekomendatsii z bahatokryteriialnoho vyrobnychoho kontroliu doilnykh ustanovok (I. A. Shevchenko, Ed.). Aktsent Invest-treid. [in Ukrainian].
3. International Organization for Standardization. (2007). ISO 3918: Milking machine installations – Vocabulary. Geneva, Switzerland. [in English].
4. International Organization for Standardization. (2007). ISO 5707: Milking machine installations – Construction and performance. Geneva, Switzerland. [in English].
5. International Organization for Standardization. (2007). ISO 6690: Milking machine installations – Mechanical tests. Geneva, Switzerland. [in English].
6. Kunes, R., Bartos, P., Iwasaka, G., Lang, A., Hankovec, T., Smutniy, L., & Kernerova, N. (2021). In-line technologies for the analysis of important milk parameters during the milking process: A review. Agriculture, 11(3), 239. DOI: https://doi.org/10.3390/agriculture11030239. [in English].
7. Borla, N., Kuster, F., Langenegger, J., Ribera, J., Honegger, M., Toffetti, G. (2021). Teat pose estimation via RGBD segmentation for automated milking. arXiv:2105.09843. DOI: https://doi.org/10.48550/arXiv.2105.09843. [in English].
8. Hao, Y., Yuan, T., Yang, Y., Gupta, A., Wieland, M., Birman, K., & Basran, P. S. (2024). AI-based teat shape and skin condition prediction for dairy management. arXiv:2412.17142. DOI: https://doi.org/10.48550/arXiv.2412.17142. [in English].
9. Aliev, T.A., Belyaev, V.E., Pomytkina, A.V., Nesterov, P.V., Shityakov, S.V., Sadovnychiy, R.V., Skorb, E.V. (2022). The development of an electrochemical sensor for antibiotics in milk based on machine learning algorithms. arXiv:2212.04422. https://doi.org/10.48550/arXiv.2212.04422. [in English].
10. Golisz, E., Kupczyk, A., Majkowska, M., Trajer, J. (2021). Simulation tests of a cow milking machine-Analysis of design parameters. Processes, 9(8), 1358. DOI: https://doi.org/10.3390/pr9081358. [in English].
11. Milanesi, S., Donina, D., Chierici Guido, V., Zaghen, F., Sora, V. M., & Zecconi, A. (2024). Comparing the performance of automatic milking systems through dynamic testing also helps to identify potential risk factors for mastitis. Animals, 14(19), 2789. DOI: https://doi.org/10.3390/ani14192789. [in English].
12. Liu, N., Qi, J., An, X., & Wang, Y. (2023). A review on information technologies applicable to precision dairy farming: Focus on behavior, health monitoring, and the precise feeding of dairy cows. Agriculture, 13(10), 1858. DOI: https://doi.org/10.3390/agriculture13101858. [in English].
13. Liu, H., Reibman, A. R., & Boerman, J. P. (2020). A cow structural model for video analytics of cow health. arXiv:2003.05903. https://doi.org/10.1016/j.compag.2020.105761. [in English].
14. Aliiev, E., Paliy, A., Paliy, A., Kis, V., Levkin, A., Kotko, Y., Levchenko, I., Shkurko, M., Svysenko, S., & Sevastianov, V. (2022). Increasing energy efficiency and enabling the process of vacuum mode stabilization during the operation of milking equipment. Eastern-European Journal of Enterprise Technologies, 6(1(120)), 62–69. https://doi.org/10.15587/1729-4061.2022.267799. [in English].
15. Ongom, J., Okella, H., Ferreira, F.C., Okello, E. (2024). Association between automatic milking system parameters and intramammary infections in dairy cows at dry-off. Frontiers in Animal Science, 5, Article 1397144. DOI: https://doi.org/10.3389/fanim.2024.1397144. [in English].
16. Takaeng, C., Aurasopon, A. (2021). Monitoring system for a bucket milking machine based on IoT. International Journal of Engineering Trends and Technology, 69(9), 29–33. DOI: https://doi.org/10.14445/22315381/IJETT-V69I9P204. [in English].
17. Abdallah, M., Lee, W.J., Raghunathan, N., Mousoulis, C., Sutherland, J.W., Bagchi, S. (2021). Anomaly detection through transfer learning in agriculture and manufacturing IoT systems. arXiv:2102.05814. DOI: https://doi.org/10.48550/arXiv.2102.05814. [in English].
18. Sara, G., Todde, G., & Caria, M. (2022). Assessment of video see-through smart glasses for augmented reality to support technicians during milking machine maintenance. Scientific Reports, 12, Article 15729. DOI: https://doi.org/10.1038/s41598-022-20154-2. [in English].
19. Talkit, V., Kininge, R., Kokate, P., Narkhebe, D., Madame, S., Bewoor, A., Patil, R.B. (2022). Reliability analysis of repairable and replaceable system: Dairy product industry. Materials Today: Proceedings, 77(3), 573–578. DOI: https://doi.org/10.1016/j.matpr.2022.10.074. [in English].
20. Wieland, M., Spellman, M.E., Case, K.L., Geary, C.M., Sipka, A. (2024). Comparison of sensor-based and audible detection of milking liner slips during machine milking of dairy cows. Sensors, 24(5), 1361. DOI: https://doi.org/10.3390/s24051361. [in English].
21. Aliiev, E.B., Tislichenko, O.S., Shevchenko, I.A. (2013). Rozrobyty systemu bahatokryterialʹnoho vyrobnychoho kontroliu tekhniko-tekhnolohichnykh parametriv doilʹnoho obladnannia ta zasobiv dlia yoho tekhnichnoho obsluhovuvannia: Final research report (in 3 vols.), reg. no. 0111U004420. National Scientific Center “Institute of Mechanization and Electrification of Agriculture” NAAS. [in Ukrainian].
22. Aliiev, E.B.O. (2012). Pidvyshchennia efektyvnosti ekspluatatsii vakuumnoi systemy molochno-doilʹnoho obladnannia (Candidate’s thesis, specialty 05.05.11). Zaporizhzhia. [in Ukrainian].
23. Boďo, Š., Gálik, R., Gurdil, G.A.K. (2024). Inspection of rubber parts of milking equipment by non-destructive testing method. Acta Technologica Agriculturae, 27(4), 234–241. DOI: https://doi.org/10.2478/ata-2024-0031. [in English].
About the journal
G8 – Materials Science
G9 – Applied Mechanics
G10 – Metallurgy
G11 – Mechanical Engineering (by specializations)
The journal "Engineering, Energy, Transport AIC" is indexed according to the following databases and catalogs:
The All-Ukrainian scientific journal “Technology, energy, agriculture transport AIC” is an open-access scientific publication that publishes the results of original research, theoretical and applied developments, as well as scientific papers in the fields of engineering sciences, energy systems, and transport technologies of the agro-industrial complex.
The main objective of the scientific journal “Technology, energy, agriculture transport AIC” is to disseminate the results of modern scientific research and to promote the development of technical, energy, and transport solutions for the agro-industrial complex through the publication of scientific materials characterized by scientific novelty and practical significance in the field of design and modernization of machinery, equipment, and technologies.
The journal’s activities are focused on supporting the development of engineering science, stimulating the implementation of innovative approaches into industrial practice, as well as ensuring effective exchange of scientific achievements among researchers, educators, engineers, and other specialists in relevant fields.
Objectives of the Journal
To achieve its defined objective, the journal ensures the implementation of the following key tasks:
· publication of the results of fundamental and applied research covering the fields of applied mechanics, mechanical engineering, materials science, energy systems, electrical engineering, electromechanics, and transport systems of the agro-industrial sector;
· promotion of the implementation of advanced technical and technological developments aimed at improving the efficiency of machinery, equipment, and production processes;
· creation of conditions for active scientific exchange among research institutions, higher education institutions, industrial enterprises, and other interested organizations;
· support for the development of interdisciplinary research and expansion of cooperation among specialists in various fields of science and technology;
· promotion of the improvement of the scientific and technical level of research related to the design, modernization, and operation of technical equipment used in agro-industrial production;
· dissemination of information on modern achievements in science and technology and the implementation of innovative technologies in the fields of technical support, energy, and transport;
· development of a scientific information environment that facilitates effective scientific communication and the integration of national research into the international scientific community.
Publication frequency: 4 issues per year
Languages of publication: Ukrainian, English
Editor-in-Chief: Vitalii YAROPUD
State Registration: Decision of the National Council of Ukraine on Television and Radio Broadcasting № 1337 and № 1180. Media Identifier: R30-05173
EDRPOU Code: 00497236
Publisher ROR: https://ror.org/05m3ysc06
Publisher DOI Prefix: 10.37128
Technology, energy, agriculture transport AIC is a scholarly professional journal with a long-standing history and stable academic tradition, reflecting the evolution of engineering and technical sciences within the agro-industrial sector of Ukraine.
The journal was founded in 1997 under the title Bulletin of Vinnytsia State Agricultural Institute. According to the Resolution of the Presidium of the Higher Attestation Commission of Ukraine dated September 11, 1997, the publication obtained the status of a professional scientific journal, which enabled the publication of the main results of doctoral and candidate dissertations in technical sciences. From its inception, the journal positioned itself as an academic platform for addressing current issues of mechanization, electrification, and technical support of agricultural production. During 2001–2014, the journal was published under the title Proceedings of Vinnytsia National Agrarian University. Series: Technical Sciences (State Registration Certificate of Print Media KV No. 16644-5116 PR dated April 30, 2010). Throughout this period, a systematic approach to the selection and peer review of scientific manuscripts was established, the thematic scope of publications was expanded, and continuity of scientific directions as well as the development of sectoral engineering schools was ensured. Since 2015, the journal has been published under its current title, Technology, energy, agriculture transport AIC (State Registration Certificate No. 21906-11806 R dated March 12, 2016). The change of title reflected the expansion of the journal’s thematic coverage and its orientation toward interdisciplinary research in mechanical engineering, energy systems, electrical engineering, transport technologies, automation, and digital solutions for the agro-industrial complex.
