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Mathematical modeling of food production technological processes in a computer training complex for operator education

Authors :
Mokrushin Sergey A.
Polevshchikov Ivan S.
Source :
BIO Web of Conferences, Vol 105, p 03007 (2024)
Publication Year :
2024
Publisher :
EDP Sciences, 2024.

Abstract

A computer training complex (CTC) structure has been designed for training food production operators, comprising interconnected subsystems generating output parameters. This CTC structure enables the configuration and storage of knowledge on specific technological processes, facilitating the customization of exercises by instructors. Individualized exercises are generated for students to perform in a virtual production environment, utilizing computer programs, tablets, smartphones, or simulated production equipment, including VR/AR technologies. During exercises, student actions are automatically recorded, and a quantitative assessment is provided based on standards, forming a comprehensive evaluation. A mathematical model, represented by a Markov transition graph, captures various states of the virtual production environment during simulated processes at the CTC. This model serves as the basis for constructing specific technological process models in the food industry, tailored to CTC hardware, software, and training methodologies. The methodology presented streamlines the development of training courses for CTC exercises, enhancing personnel knowledge and skills in food production. By utilizing these models, methods, and algorithms, CTCs can be tailored for training operators in diverse food production sectors. The approach outlined simplifies course creation, ensuring personnel development at the desired proficiency level through exercise quality assessment algorithms.

Details

Language :
English, French
ISSN :
21174458
Volume :
105
Database :
Directory of Open Access Journals
Journal :
BIO Web of Conferences
Publication Type :
Academic Journal
Accession number :
edsdoj.3df173d3557f4fcfa3de315d0d35ec0e
Document Type :
article
Full Text :
https://doi.org/10.1051/bioconf/202410503007