Theoretical study of the working process of a multivariate cabbage harvester

Abstract

BACKGROUND. A multi-variant cabbage harvester of a block-modular design is proposed for small-scale farming in vegetable growing. At the same time, it is planned to complete the cabbage harvester in three versions: with an elevator, with a lower longitudinal conveyor, with an elevator and an upper longitudinal conveyor. AIMS – modeling the working process of a multivariate cabbage harvester to identify its main technological parameters that ensure the efficiency of its operation. MATERIALS AND METHODS. The working process of a multivariate cabbage harvester is presented as the functioning of a certain physical system, the state of which changes during the technological process over time depending on stochastic factors. The process of sequential transition of a system from one state to another is considered on the basis of queuing theory depending on the intensity of movement of the flow of heads of cabbage λ in the technological line of the machine and the intensity of service μ of this flow. In this work, the limiting probabilities of the model states are determined and the stochastic indicators of its functioning are calculated. RESULTS AND DISCUSSION. Based on the results of calculations of stochastic indicators of the functioning of the model, the optimal number of service personnel people was established, when the maximum probability of servicing cabbage heads can be up to 0.934. CONCLUSIONS. The workflow of a multivariate cabbage harvester is modeled as a stationary stochastic queuing process. Based on the research results, it is recommended to take the number of service personnel at the combine refining table as .