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MATHEMATICAL MODEL OF THE BIOTECHNIC SYSTEM CONTROLLED BY THE SYSTEM OF ANIMAL SYSTEM ON THE EXAMPLE OF INFRARED IRRADIATION OF PIG-REMOVAL

https://doi.org/10.21122/2309-4923-2017-3-33-39

Abstract

This article proposes a model biotechnical system and exposure control algorithm on the behavior of piglets using machine vision technology. The effective temperature of the indoor air is an indirect indicator of the favourable conditions for keeping animals. In this article, a hypothesis has been put forward: the management of the microclimate in the cattle-breeding premises should be based on direct indicators of the favourableness of the content. This indicator is appropriate to consider the behaviour of animals. Structurally functional schemes for the functioning of the biotechnical system of the cattle-breeding complex have been developed in the IDEF0 notation. An algorithm for controlling the irradiation of piglets and weaners based on the ethological character of the location of animals across the floor area is presented. This problem was not solved before. Algorithms for automatic control of electro technological processes in agriculture have not been encountered in the literature before. The developed principle of intelligent control allows optimal provision of comfortable conditions for keeping animals in real time. The results can be used to create and design of modern automatic climate control systems in livestock. 

About the Authors

L. S. Gerasimovich
Institute of Energy of the National Academy of Sciences of Belarus
Belarus
Leonid S. Gerasimovich - Professor, PhD in Engineering


A. N. Kosko
Institute of Energy of the National Academy of Sciences of Belarus
Belarus
Post-graduate


A. V. Sinenkii
Institute of Energy of the National Academy of Sciences of Belarus
Belarus
Post-graduate


References

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For citations:


Gerasimovich L.S., Kosko A.N., Sinenkii A.V. MATHEMATICAL MODEL OF THE BIOTECHNIC SYSTEM CONTROLLED BY THE SYSTEM OF ANIMAL SYSTEM ON THE EXAMPLE OF INFRARED IRRADIATION OF PIG-REMOVAL. «System analysis and applied information science». 2017;(3):33-39. (In Russ.) https://doi.org/10.21122/2309-4923-2017-3-33-39

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ISSN 2309-4923 (Print)
ISSN 2414-0481 (Online)