Development of the system to control milk acidity in the milk pipeline of a milking robot

Authors

DOI:

https://doi.org/10.15587/1729-4061.2018.133159

Keywords:

milking robot, milk pipeline, milk, semiconductor pH-FT-electrode, acidity, Turner degree

Abstract

Acidity characterizes the suitability of milk for primary processing and is one of the key parameters monitored when accepting it at a dairy plant. Therefore, it is important to timely separate milk with lowered acidity in the process of milking by a robot. However, no technical means for the detection and separation of milk with lowered acidity in a milk pipeline were designed for robotic milking systems.

Based on the results of experimental study, we established a linear correlation dependence of milk acidity, using a traditional Turner method, on pH. We calculated parameters for the main and additional containers, for milk of superior grade and for non-standard milk in terms of acidity. Linear parameters are determined for inserting into the main milk pipeline of a robot the measuring pH-electrode and a tee with electromagnetic valve for the automated discharge of non-standard milk. Based on the experimental study and our calculations, we developed a project of the technical system for the robotic cow milking technology. A standard technology is complemented by a process of automated measurement of milk pH in a flow, which is implemented using a high-speed transistor pH-FT electrode with a measuring unit.

Control over milk pH in a flow during milking makes it possible to operatively solve two tasks at a time ‒ to improve the accuracy of estimating the quality of starting raw materials and to correct the feed of cows in order to standardize the acidity of milk required for its acceptance at a milk processing plant. We thus exclude a labor-intensive laboratory operation for determining the acidity because this indicator has already been measured during robotic milking process. Therefore, our improvement of technology for robotic milking will make it possible to more accurately assess the quality of raw milk using milking robots that are included in the system of machines for precision cattle breeding.

Author Biographies

Oleksandr Nanka, Kharkiv Petro Vasylenko National Technical University of Agriculture Moskovskyi ave., 45, Kharkiv, Ukraine, 61050

PhD, Associate Professor

Department of Technical Systems and Animal Husbandry Technologies

Viktor Shigimaga, Kharkiv Petro Vasylenko National Technical University of Agriculture Moskovskyi ave., 45, Kharkiv, Ukraine, 61050

Doctor of Technical Sciences, Associate Professor

Department of Technical Systems and Animal Husbandry Technologies

Andriy Paliy, Kharkiv Petro Vasylenko National Technical University of Agriculture Moskovskyi ave., 45, Kharkiv, Ukraine, 61050

PhD, Associate Professor

Department of Technical Systems and Animal Husbandry Technologies

Vitaliy Sementsov, Kharkiv Petro Vasylenko National Technical University of Agriculture Moskovskyi ave., 45, Kharkiv, Ukraine, 61050

PhD

Department of Technical Systems and Animal Husbandry Technologies

Anatoliy Paliy, National Scientific Center «Institute of Experimental and Clinical Veterinary Medicine» Pushkinska str., 83, Kharkiv, Ukraine, 61023

Doctor of Veterinary Sciences, Senior Researcher

Laboratory of Veterinary Sanitation and Parasitology

References

  1. Paliy, A. (2014). Perspective directions of development of dairy cattle breeding in Ukraine. Izvestiya Velikolukskoy GSKHA, 2, 10–15.
  2. Naumenko, A. A., Chigrin, A. A., Paliy, A. P. (2014). Robotic systems in dairy cattle breeding. Visnyk Kharkivskoho natsionalnoho tekhnichnoho universytetu silskoho hospodarstva imeni Petra Vasylenka, 144, 92–96.
  3. Marcussen, D., Laursen, A. K. (2007). The Basics of Dairy Cattle Production. 1st ed. Danish Agricultural Advisory Service, National Centre, Aarhus, Denmark, 234.
  4. Lutsenko, M. M., Ivanyshyn, V. V., Smolyar, V. I. (2006). Perspective technologies of milk production. Kyiv: VC "Academy", 191.
  5. DSTU 3662-97. ow's milk is not assembled. Requirements for the purchase (1997). Kyiv, 13.
  6. Meijering, A., Hogeveen, H., Koning, de C. J. A. M. (Eds.) (2004). Automatic Milking, a better understanding. Book Type: Edited Collection, 544. doi: 10.3920/978-90-8686-525-3
  7. Hupfauer, M., Hecht, H., Ruhmann, N. (1966). Bauarten von Melkanlagen. Landtechnik, 11, 402–407.
  8. Kitikov, V. O. (2008). Scientific and technological approaches in the development of advanced technologies in dairy cattle breeding on the basis of robotic equipment. Mechanization and electrification of agriculture, 42, 160–165.
  9. Hillerton, J. E., Ohnstad, I., Baines, J. R., Leach, K. A. (2002). Performance differences and cow responses in new milking parlours. Journal of Dairy Research, 69 (01). doi: 10.1017/s0022029901005283
  10. Bergveld, P. (2003). ISFET Theory and Practice. IEEE Sensor Conference. Toronto, Canada, 1–26.
  11. Turner, E. (1992). Biosensors: basic applications. Moscow: Mir, 614.
  12. Xueji, Z., Huangxain, Ju., Joseph, W. (2008). Electrochemical sensors, biosensors and their biomedical applications. Elsevier, Academic Press, 616. doi: 10.1016/b978-0-12-373738-0.x5001-6
  13. Borstlap, D. (2006). High-k dielectrics as bioelectronic interface for field-effect transistors. Julich, Institut fur Biound Nanosysteme. Bioelectronik, 143.
  14. Dzyadevych, S. V., Soldatkin, A. P., El’skaya, A. V., Martelet, C., Jaffrezic-Renault, N. (2006). Enzyme biosensors based on ion-selective field-effect transistors. Analytica Chimica Acta, 568 (1-2), 248–258. doi: 10.1016/j.aca.2005.11.057
  15. Kukla, O. L., Pavlyuchenko, O. S., Goltvyankiy, Yu. V. (2008). Sensory massifs based on differential ISTT elements for monitoring of toxic substances of natural and artificial origin. Sensor electronics and microsystem technologies, 2, 58–68.
  16. Arkhipova, V. M., Shelyakina, M. K., Kukla, O. L. (2009). Biosensor analysis of potato glycoalkaloids. Magazine Biotechnology, 3, 64–73.
  17. Marchenko, S. V., Nazarenko, O. A., Kukla, O. L. (2009). Development of creatinine-sensitive biosensor for medical use. Sensor electronics and microsystem technologies, 4, 55–62.
  18. Pavlyuchenko, A. S., Kukla, A. L., Goltvyansky, Yu. V. (2010). Application of ion-selective field-effect transistors for enzymatic analysis of toxic impurities in aqueous solutions. Technology and design in electronic equipment, 3, 35–46.
  19. Shigimaga, V. A., Faizullin, R. A. (1998). Method for measuring the pH of meat. Svinovodstvo, 3, 14–15.
  20. GOST 3624-92. Milk and dairy products. Titrimetric methods for determining acidity (2009). Moscow, 7.
  21. GOST 8.135-2004. State system for ensuring the uniformity of measurements (ICG). Standard-titers for preparation of buffer solutions – working standards of pH of the 2nd and 3rd digits. Technical and metrological characteristics. Methods for their determination (2008). Moscow, 9.
  22. Skoryk, O. P., Polupanov, V. M. (Eds.) (2009). Design of technology and equipment for animal husbandry. Kharkiv: KhNTUAS, 429.
  23. Paliy, A. P., Paliy, A. P., Naumenko, O. A. (2015). Innovative technologies and technical systems in dairy cattle breeding. Kharkiv: Miskdruk, 324.
  24. Laurs, A., Priekulis, J., Purins, M. (2009). Studies of operating parameters in milking robots. 8th International Scientific Conference “Engineering for rural development”. Jelgava, 38–42.
  25. Paliy, A. P. (2016). Innovative foundations for the production of high-quality milk. Kharkiv: Miskdruk, 270.
  26. Koning, de K., Ouweltjs, W. (2000). Maximising the milking capacity of an automatic milking system. In: Proceedings of the International Symposium “Robotic Milking”. Lelystad, Netherland, 38–46.
  27. Artmann, R. (2005). Ergebnisse aus langjährigem Praxiseinsatz von Melkrobotern. In: Konferenzmaterialen der 7 Internationalen Tagung “Bau, Technik und Umwelt in der landwirtschaftlichen Nutztierhaltung 2005”. KTBL: Darmstadt, 145–150.

Downloads

Published

2018-06-08

How to Cite

Nanka, O., Shigimaga, V., Paliy, A., Sementsov, V., & Paliy, A. (2018). Development of the system to control milk acidity in the milk pipeline of a milking robot. Eastern-European Journal of Enterprise Technologies, 3(9 (93), 27–33. https://doi.org/10.15587/1729-4061.2018.133159

Issue

Section

Information and controlling system