Year: 2021
Type: conference-paper
Abstract: The purpose of the study is a computer analysis of the milking process mathematical model as well as the influence of statistical characteristics allowing developing adaptive algorithms to control the process of rotary conveyor milking on the "Carousel" lines. The methods of probability theory and mathematical statistics are used in the research. When conducting a computational experiment, the Maple analytical computing system was used. Using of Pearson's chi-squared test sets the gamma distribution of the individual milking time and speed for each cow with acceptable reliability. One of the Morgenstern-Gumbel models is used as a first approximation of the joint distribution of time and speed of the rotary conveyor milking. It was found that this model does not contradict the sample data. The authors believe that it is necessary to conduct further research using statistical sequential analysis to reduce the amount of sample cows from the herd and to refine the estimates of the model parameters. It will lead to improving the algorithm for adaptive control of the "Carousel" rotation speed and will increase the productivity of the milking process in the rural areas of Russia and abroad.
Authors: T Borodina, V Zorin, S Strebulyaev, O Tareeva, N Shkilev, S Kazakov
Language: English
Subfield: Mechanical Engineering
Field: Engineering
Domain: Physical Sciences
SDG: Zero hunger
Open Access status: diamond
OpenAlex ID: W3206529340