Preview

Agricultural Science Euro-North-East

Advanced search

Investigation and optimisation of the functioning parameters of the milking machine electronic unit, diagnosing the state of the udder quarters of cows for mastitis

https://doi.org/10.30766/2072-9081.2022.23.4.562-571

Abstract

The article informs on the search of values of setting the parameters of electronic unit of the milking machine providing the current control of physiological state of udder quarters during milking. The milking machine is equipped with electrode sensor for quarterly control of the lactation intensity. A rotatable plan was used in the studies on a hexagon for two factors. The influence of delay duration of measuring and the duration of search for maximum on relative values of average yaver and maximum ymax deviations from minimum voltage value at the lower voltage divider arm has been determined. The algorithm of the program for the functioning of the electronic unit provided for restrictions on the width ∆ = 0.03 s and height Un = 2.45 V of the lactation diagram. There were experimentally determined the values of the duration of the measurement delay 10 s and the duration of the search for the maximum 40 s, which ensure an adequate quarterly indication of mastitis during milking. The threshold for changing the colour of the LEDs of the electronic unit from green to red, signalling inflammation of the mammary gland in the quarters, is set to exceeding ymax > 5 %. Parallel samples of milk from the udder quarters for the kenotest confirmed the efficiency of application and expediency of the milking machine, performing the function of quarterly testing of the quarters for mastitis. Providing the option of quarterly control of udder quarters by milking machine does not need correction of the basic circuit of electronic unit and is achieved only by its programming considering physiological features of livestock kept. The results of investigations indicate that, on average, for healthy cows, the range of variation of the maximum relative voltage deviation on the lower divider of the electronic unit should not exceed 6...10 %. 

About the Authors

P. A. Sаvinyh
Federal Agricultural Research Center of the North-East named N. V. Rudnitsky
Russian Federation

DSc in Engineering, professor, Head of the Laboratory, 

166a, Lenin str., Kirov, 610007



A. A. Rylov
Federal Agricultural Research Center of the North-East named N. V. Rudnitsky
Russian Federation

DSc in Engineering, associate professor, 

166a, Lenin str., Kirov, 610007



V. N. Shulatiev
Federal Agricultural Research Center of the North-East named N. V. Rudnitsky
Russian Federation

DSc in Engineering, professor, 

166a, Lenin str., Kirov, 610007



S. A. Ivanovs
Latvia University of Life Sciences and Technologies
Latvia

DSc in Engineering, Director of Ulbroka research center,

Instituta str., 1, Ulbroka, LV-2130, Riga



References

1. Priekulis J., Laurs A. Development trends of milk production mechanisation in Latvia. Engineering for Rural Development. 2020;19:270-275. DOI: https://doi.org/10.22616/ERDev.2020.19.TF063

2. Čechura L., Kroupova Z., Benešova I. Productivity and efficiency in european milk production: Can we observe the effects of abolishing milk quotas? Agriculture (Switzerland). 2021;11(9):835. DOI: https://doi.org/10.3390/agriculture11090835

3. Gavorski M., Priekulis J. Analysis of milking system development on example of two baltic countries. Engineering for Rural Development. 2014;13:79-84. URL: https://www.tf.llu.lv/conference/proceedings2014/Papers/13_Gaworski_M.pdf

4. Mangalis M., Priekulis J., Laurs A. Influence of milking robot application on cow longevity and amount of somatic cells in milk. Engineering for Rural Development. 2020;19:244-248. DOI: https://doi.org/10.22616/erdev.2020.19.tf059

5. Reinemann D. J., Smith D. J. Evaluation of automatic milking systems for the United States. Proceedings of the international symposium “Robotic Milking”. Netherlands, Wageningen Press, 2000. pp. 232-238.

6. Adriaens I., Van Den Brulle I., Geerinckx K., D'Anvers L., De Vliegher S., Aernouts B. Milk losses linked to mastitis treatments at dairy farms with automatic milking systems. Preventive Veterinary Medicine. 2021;194:105420. DOI: https://doi.org/10.1101/2021.01.04.425263

7. Penry J. F. Mastitis Control in Automatic Milking Systems. Veterinary Clinics of North America - Food Animal Practice. 2018;34(3):439-456. DOI: https://doi.org/10.1016/j.cvfa.2018.06.004

8. Ekkhorutoven O. T., Medvedev A. G. Noncontagious mastitis in cows. Current problems of veterinary obstetrics and animal reproduction: mat-ly Mezhdunar. nauchn.-prakt. konf. Gorki: BSKhA, 2013. pp. 458-464.

9. Dohmen W., Neijenhuis F., Hogeveen H. Relationship between udder health and hygiene on farms with an automatic milking system. Journal of Dairy Science. 2010;93(9):4019-4033. DOI: https://doi.org/10.3168/jds.2009-3028

10. Kapustin I. V., Grinchenko V. A., Gritsay D. I., Kapustina E. I. The physiological requirements for the engineering of milking machines to reduce mastitis. Research Journal of Pharmaceutical, Biological and Chemical Sciences. 2016;7(2):338-343.

11. Konopeltsev I. G., Shulyatev V. N. Udder inflammation in cows. Kirov-Saint-Petersburg: SPbGAVM, 2010. 355 p.

12. Paudyal S., Melendez P., Manriquez D., Velasquez-Munoz A., Pena G., Roman-Muniz I. N., Pinedo P. J. Use of milk electrical conductivity for the differentiation of mastitis causing pathogens in Holstein cows. Animal. 2020;14(3):588-596. DOI: https://doi.org/10.1017/S1751731119002210

13. Lubimov V. E. Intelligent Electrophysiological Control of Cows Milk Reflex by Registration Electrical Skin Activity. Advances in Intelligent Systems and Computing. 2020;1072:100-107. DOI: https://doi.org/10.1007/978-3-030-33585-4_10

14. Kirsanov V. V., Mileshina O. V. Methods and technical meansfor determining the early diagnosis of mastitis in cows and the separation of abnormal milk in the stream during milking at milking machines. Vestnik Vserossiyskogo nauchno-issledovatel'skogo instituta mekhanizatsii zhivotnovodstva. 2011;2 (2):54-58. (In Russ.). URL: https://cyberleninka.ru/article/n/sposoby-i-tehnicheskie-sredstva-opredeleniya-ranney-diagnostiki-mastita-ukorov-i-otdeleniya-anomalnogo-moloka-v-potoke-pri-doenii-na

15. Juozaitienė V., Anskienė L., Čereškienė E., Juozaitis A., Žymantiene J., Žilaitis V., Bobinienė R. Electrical conductivity of milk in different milking phases and relationship with subclinical mastitis and mastitis pathogens of cows. Journal of Animal and Plant Sciences. 2017;27(6):1829-1835. URL: https://www.vdu.lt/cris/entities/publication/5ba8066e-91bd-4f57-ad7f-c4893377a75c/details

16. Shulyatev V. N., Rylov A. A., Konopeltsev I. G. Using the device of controlling the lactation intensity of udder quarters for diagnosing the functional state of cows` mammary glands during milking. Vestnik Vyatskoy GSKhA. 2019;(1):2-14. (In Russ.). URL: https://www.elibrary.ru/item.asp?id=41367980

17. Rylov A. A., Shulyatev V. N. Suction milking machines: development, research, optimization. Kirov: OOO «VESI», 2021. 270 p.

18. Voznesenskiy V. A., Bazhenov Yu. M. Prospects of application of mathematical methods in the technology of precast concrete. Moscow: Stroyizdat, 1974. 192 p.

19. Bulgakov V., Ivanovs S., Adamchuk V., Boris A. Mathematical model for determination of losses of sugar bearing-mass when sugar beet tops are removed. Engineering for Rural Development, Proceedings. 2015;14:41-45. DOI: https://doi.org/10.22616/ERDev.2021.20.TF140

20. Fisher R. A. Statistical methods for research workers. Breakthroughs in Statistics. Kotz S., Johnson N. L. (eds), Springer Series in Statistics (Perspectives in Statistics). Springer: New York, 1992. DOI: https://doi.org/10.1007/978-1-4612-4380-9_6


Review

For citations:


Sаvinyh P.A., Rylov A.A., Shulatiev V.N., Ivanovs S.A. Investigation and optimisation of the functioning parameters of the milking machine electronic unit, diagnosing the state of the udder quarters of cows for mastitis. Agricultural Science Euro-North-East. 2022;23(4):562-571. https://doi.org/10.30766/2072-9081.2022.23.4.562-571

Views: 246


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 2072-9081 (Print)
ISSN 2500-1396 (Online)