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Project titleMathematical modeling and control of the process of formation of professional skills in food production technologists based on computer training complexes

AffiliationFederal State Budgetary Educational Institution of Higher Education Russian Biotechnical University,

Research area 09 - ENGINEERING SCIENCES, 09-602 - Modelling of technical systems

KeywordsComputer simulators, food industry, automated training systems, mathematical modeling, intelligent systems, vocational training, adaptive learning, professional knowledge and skills, technological processes, advising systems.

Annotation
The food industry in Russia is one of the strategic sectors of the economy, which, in the current difficult situation, in particular, the problems of import substitution, is designed to provide the population of the country with the necessary quantity and quality of food. An analysis of the technological processes of most types of food production (in particular, in the meat, dairy, and confectionery industries) shows that operating enterprises are characterized by frequent changes in the range of products, multidimensionality, large volumes of products, non-linearity, and multi-channel production information. There is a significant potential for improving the quality and efficiency of food production through the introduction of information and, in particular, intellectual technologies directly into the production process, as well as in the training of personnel for the food industry, mainly food production technologists. In modern conditions, in the preparation of professional personnel, computer technologies, process plant simulators, and automated training systems are widely used. All this is aimed at reducing the human factor in managing complex processes. In particular, computer simulators are a widely used means of training operators of various types of complex and dangerous production processes. The use of simulators makes it possible not to use real equipment for educational purposes at the initial stage of skills formation, thereby reducing its wear and tear, energy costs, not distracting from the production process, reducing the level of industrial injuries, equipment breakdowns, and emergencies. However, important scientific tasks remain unresolved in the development of computer training complexes (CTC) for training food production technologists in professional skills, the solution of which would simultaneously help reduce labor intensity and financial costs for the creation and configuration of computer training complexes (CTC), increase the level of formation of sensorimotor skills and reducing the complexity of the educational process for teachers and students. In fact, there are no effective means of training the personnel of food enterprises based on imitation of real production situations in the educational process in order to form and control the required professional skills. This scientific study proposes a holistic approach to modeling a training computer simulator complex for a food production technologist for the formation of professional skills, which is distinguished by the semantic commonality of the main basic concepts: a) the dynamics of skills formation as a multi-step process based on an improved method of iterative learning, b) the dynamic characteristics of the elements of the technological process , c) control elements (control levers, control panels), d) a human operator who assesses the current situation and builds a rational process control trajectory. In a practical aspect, the results of the research planned within the framework of the project can be used to develop a CTC for the purpose of training technologists for various types of food production (in particular, meat, dairy, confectionery industries). Also, the results can be used in the process of professional training of future CTC developers - bachelors and masters in areas of training related to the development of automated information processing and control systems.

Expected results
The project is aimed at solving the scientific and technical problem of developing a set of mathematical, ontological, informational models and methods for automating the management of the process of forming professional skills using computer training systems (CTS) and improving the efficiency of training of food production technologists. As part of solving this problem, it is planned to obtain the following results: 1. The developed technique of mathematical and ontological modeling of the technological process in the virtual production environment of the CTS based on the description of the subject area of the professional activity of a food production technologist. 2. The developed complex of physical and mathematical models of visualization and virtualization of technological processes (on the example of production processes in the food industry), simulated when the trainee performs exercises on a computer simulator. 3. The developed mathematical model and algorithms of the automated control system for the formation of professional skills for food production technologists during training using CTS. 4. The developed models and algorithms of the advising system, which calculates control actions in real time and provides the possibility of the most efficient performance of actions by the trained technologist in the CTS virtual production environment. 5. Developed algorithms for correcting the values of the parameters of the virtual production environment of the CTS, the process of formation and control of skills in this environment based on the processing of accumulated data on the training of technologists at the CTS. 6. Developed algorithms for automated evaluation of the effectiveness of training technologists at CTS. 7. Developed software (software) of a computer simulator complex (CTS) for training food production technologists using the models, methods and algorithms described above. 8. Completed practical implementation and experimental confirmation of the results of the study, evaluation of the effectiveness of the proposed models, methods and algorithms. CTSs based on the developed models, methods and algorithms are planned for practical application in order to increase the effectiveness of training food technologists for various food industries (meat, dairy, confectionery, etc.). It is planned to implement the results at large modern food industry enterprises, in particular, United Confectioners Holding, Sokolniki Melkombinat OJSC, Voronezhsky Dairy Plant OJSC, OCHAKOVO MPBK CJSC. Also, the results can be used in the process of professional training of future CTS developers - bachelors and masters in the areas of training related to the development of automated information processing and control systems (in particular, “Computer Science and Computer Engineering”, “Software Engineering”, “Mechatronics and Robotics” , “Control in technical systems”, “Automation of technological processes and productions”). The implementation of this project is based on the results of world and Russian scientific research and development, but at the same time a new scientific and technical problem will be solved to create models, methods and algorithms for universal intelligent computer training systems (CTS), the use of which improves the quality of the formation of professional skills among technologists food production based on the results of adaptive training on the simulator, reducing the labor intensity of the process of training technologists (in particular, through flexible configuration of the parameters of the virtual production environment and the learning process in this environment).

Annotation of the results obtained in 2023
Based on the results of the 1st year of the project, tasks were completed in the field of modeling the virtual production environment of a computer training complex (CTC) for training food production technologists (in particular, modeling technological processes, scenarios and their analysis), as well as automating the training of technologists in the virtual production environment of CTC : 1. A method for mathematical modeling of the technological process in the virtual production environment of the CTC has been developed based on a description of the subject area of the professional activity of a technologist. 2. A set of physical and mathematical models for visualization and virtualization of technological processes has been developed (using the example of production processes in the food industry), which are simulated when the student performs exercises on a computer simulator. 3. Mathematical models and algorithms for an automated control system for the formation of professional skills among food production technologists during training using CTC have been developed. 4. Models and algorithms of an advising system have been developed that calculates control actions in real time and provides the ability for the most effective execution of actions by a trained technologist in the CTC virtual production environment. Based on the results of the 1st year of the project, the first stage of work was completed as part of solving the scientific and technical problem of creating models, methods and algorithms of universal intelligent CTC, the use of which helps to improve the quality of professional skills formation among food production technologists during adaptive training on a simulator, reducing labor intensity the process of training technologists (in particular, through flexible adjustment of the parameters of the virtual production environment and the learning process in this environment). CTC, based on the developed models, methods and algorithms, are planned for practical use in order to increase the efficiency of training food production technologists for various sectors of the food industry (meat, dairy, confectionery, etc.). It is planned to implement the results at large modern food industry enterprises. Also, the results of the project are used in ROSBIOTECH in the process of professional training of future CTC developers - bachelors and masters in areas of training related to the development of automated information processing and control systems (in particular, “Informatics and Computer Science”, “Control in Technical Systems”). The most significant scientific articles published based on the results of the 1st year of the project: 1.1. Mokrushin S.A., Polevshchikov I.S. Mathematical modeling of food production technological processes in a computer training complex for operator education // BIO Web Conf. 105, 03007 (2024). IV International Conference on Agricultural Engineering and Green Infrastructure for Sustainable Development (AEGISD-IV 2024). URL: https://doi.org/10.1051/bioconf/202410503007 1.2. Polevshchikov I.S., Kargin V.A., Mokrushin S.A., Nazoykin E.A., Ukolov M.S. Training complex for developing and evaluating skills for solving optimization and control problems in food production facilities // BIO Web Conf. 93, 03010 (2024). International Scientific Forestry Forum 2023: Forest Ecosystems as Global Resource of the Biosphere: Calls, Threats, Solutions (Forestry Forum 2023). URL: https://doi.org/10.1051/bioconf/20249303010 1.3. Polevshchikov I.S., Blagoveshchensky I.G. Modeling optimization problems when training engineering specialists using intelligent training systems // E3S Web of Conferences 486, 03020 (2024). IX International Conference on Advanced Agritechnologies, Environmental Engineering and Sustainable Development (AGRITECH-IX 2023). URL: https://doi.org/10.1051/e3sconf/202448603020 1.4. Polevshchikov I.S., Kravchenko R.A. Automated skills control of food production specialists using a training system // E3S Web of Conferences 443, 06011 (2023). II International Conference on Environmental Technologies and Engineering for Sustainable Development (ETESD-II 2023). URL: https://doi.org/10.1051/e3sconf/202344306011 1.5. Polevshchikov I.S., Blagoveshchensky V.G. Automated systems and processes visual modelling skills control in training engineering specialists with simulator complex // E3S Web of Conferences 460, 10007 (2023). International Scientific Conference on Biotechnology and Food Technology (BFT-2023). URL: https://doi.org/10.1051/e3sconf/202346010007 1.6. Polevshchikov I.S., Litvinova E.V. Automated evaluation models and algorithms for optimizing exercise assessments in food production training complexes // ITM Web of Conferences 59, 02025 (2024). II International Workshop “Hybrid Methods of Modeling and Optimization in Complex Systems” (HMMOCS-II 2023). URL: https://doi.org/10.1051/itmconf/20245902025 Links to media materials dedicated to the project: https://mgutm.ru/2023/12/07/doczent-kafedry-isiczt-prinyal-uchastie-v-iii-kongresse-molodyh-uchenyh/

Publications

1. - Доцент кафедры ИСиЦТ принял участие в III Конгрессе молодых ученых Пресс-служба МГУТУ им. К.Г. Разумовского (ПКУ) (г. Москва), https://mgutm.ru/2023/12/07/doczent-kafedry-isiczt-prinyal-uchastie-v-iii-kongresse-molodyh-uchenyh/ (year - )

2. Blagoveshchensky V.G., Blagoveshchensky I.G., Kholopov V.A., Adrodvortsev A.M., Golovin V.V., Mokrushin S.A. Автоматическое распознавание бракованного шоколада с помощью нейросети YOLO на основе данных из цифровой симуляции Современные проблемы автоматизации технологических процессов и производств. Сборник научных докладов научно-практической конференции с международным участием, посвященной 100-летию со дня рождения Игоря Константиновича Петрова, Современные проблемы автоматизации технологических процессов и производств. Сборник научных докладов научно-практической конференции с международным участием, посвященной 100-летию со дня рождения Игоря Константиновича Петрова. Курск, 2023. С. 38-47. (year - 2023)

3. Blagoveshchensky V.G., Blagoveshchensky I.G., Lomakin D.V., Chelnokov D.M., Blagoveshchenskaya M.M., Murina N.S. Структурная схема идентификации нестационарного технологического процесса производства пищевой продукции Современные проблемы автоматизации технологических процессов и производств. Сборник научных докладов научно-практической конференции с международным участием, посвященной 100-летию со дня рождения Игоря Константиновича Петрова., Современные проблемы автоматизации технологических процессов и производств. Сборник научных докладов научно-практической конференции с международным участием, посвященной 100-летию со дня рождения Игоря Константиновича Петрова. Курск, 2023. С. 28-37. (year - 2023)

4. Fedosin R.L., Kargin V.A., Nazoikin E.A., Sviridov I.E. Структура информационной системы контроля качества мяса в холодильной цепи Современные проблемы автоматизации технологических процессов и производств. Сборник научных докладов научно-практической конференции с международным участием, посвященной 100-летию со дня рождения Игоря Константиновича Петрова, Современные проблемы автоматизации технологических процессов и производств. Сборник научных докладов научно-практической конференции с международным участием, посвященной 100-летию со дня рождения Игоря Константиновича Петрова. Курск, 2023. С. 310-314. (year - 2023)

5. Lyapushin V.A., Polevshchikov I.S. Совершенствование программного обеспечения компьютерного тренажерного комплекса для обучения операторов технологических процессов Роговские чтения. Секция «Автоматизация технологических процессов и производств»: Сборник докладов научно-практической конференции с международным участием, Роговские чтения. Секция «Автоматизация технологических процессов и производств»: Сборник докладов научно-практической конференции с международным участием; РОСБИОТЕХ, 30 ноября 2023 года. Курск: Изд-во ЗАО «Университетская книга», 2024. С. 333-339. (year - 2024)

6. Mokrushin S.A., Blagoveshchensky I.G., Blagoveshchenskaya M.M., Okhapkin S.I., Blagoveshchensky V.G. Введение алгоритма диагностики аварийных ситуаций в систему автоматизированного управления процессом стерилизации консервов Хранение и переработка сельхозсырья. 2024. №1., Хранение и переработка сельхозсырья. 2024. №1. (year - 2024)

7. Mokrushin S.A., Polevshchikov I.S. Mathematical modeling of food production technological processes in a computer training complex for operator education BIO Web Conf., BIO Web Conf. 105, 03007 (2024). IV International Conference on Agricultural Engineering and Green Infrastructure for Sustainable Development (AEGISD-IV 2024) (year - 2024)

8. Morozov M.O., Polevshchikov I.S. Разработка веб-системы сбора и анализа данных о результатах обучения операторов на компьютерном тренажерном комплексе Современные проблемы автоматизации технологических процессов и производств. сборник научных докладов научно-практической конференции с международным участием, посвященной 100-летию со дня рождения Игоря Константиновича Петрова., Современные проблемы автоматизации технологических процессов и производств. сборник научных докладов научно-практической конференции с международным участием, посвященной 100-летию со дня рождения Игоря Константиновича Петрова. Курск, 2023. С. 259-263. (year - 2023)

9. Parfenov M.A., Blagoveshchensky I.G., Blagoveshchensky V.G., Zelenova E.N., Stetsik P.P., Strelkov I.A. Человеко-машинный интерфейс для интеллектуальной экспертной системы Современные проблемы автоматизации технологических процессов и производств. Сборник научных докладов научно-практической конференции с международным участием, посвященной 100-летию со дня рождения Игоря Константиновича Петрова, Современные проблемы автоматизации технологических процессов и производств. Сборник научных докладов научно-практической конференции с международным участием, посвященной 100-летию со дня рождения Игоря Константиновича Петрова. Курск, 2023. С. 279-287. (year - 2023)

10. Polevshchikov I.S. Онтологическое и физико-математическое моделирование технологических процессов в компьютерном тренажерном комплексе операторов пищевых производств Перспективы развития технологий обработки и оборудования в машиностроении: сборник научных статей 2-й Всероссийской научно-технической конференции (11-12 апреля 2024 года). Воронеж: Воронежский государственный технический университет, 2024., Перспективы развития технологий обработки и оборудования в машиностроении: сборник научных статей 2-й Всероссийской научно-технической конференции (11-12 апреля 2024 года). Воронеж: Воронежский государственный технический университет, 2024. С. 300-304. (year - 2024)

11. Polevshchikov I.S., Blagoveshchensky I.G. Modeling optimization problems when training engineering specialists using intelligent training systems E3S Web of Conferences 486, 03020 (2024). IX International Conference on Advanced Agritechnologies, Environmental Engineering and Sustainable Development (AGRITECH-IX 2023)., E3S Web of Conferences 486, 03020 (2024). IX International Conference on Advanced Agritechnologies, Environmental Engineering and Sustainable Development (AGRITECH-IX 2023). (year - 2024) https://doi.org/10.1051/e3sconf/202448603020

12. Polevshchikov I.S., Blagoveshchensky V.G. Automated systems and processes visual modelling skills control in training engineering specialists with simulator complex E3S Web of Conferences, E3S Web of Conferences 460, 10007 (2023). International Scientific Conference on Biotechnology and Food Technology (BFT-2023) (year - 2023) https://doi.org/10.1051/e3sconf/202346010007

13. Polevshchikov I.S., Kargin V.A., Mokrushin S.A., Nazoykin E.A., Ukolov M.S. Training complex for developing and evaluating skills for solving optimization and control problems in food production facilities BIO Web Conf. 93, 03010 (2024). International Scientific Forestry Forum 2023: Forest Ecosystems as Global Resource of the Biosphere: Calls, Threats, Solutions (Forestry Forum 2023)., BIO Web Conf. 93, 03010 (2024). International Scientific Forestry Forum 2023: Forest Ecosystems as Global Resource of the Biosphere: Calls, Threats, Solutions (Forestry Forum 2023). (year - 2024) https://doi.org/10.1051/bioconf/20249303010

14. Polevshchikov I.S., Kravchenko R.A. Automated skills control of food production specialists using a training system E3S Web of Conferences, E3S Web of Conferences 443, 06011 (2023). II International Conference on Environmental Technologies and Engineering for Sustainable Development (ETESD-II 2023). (year - 2023) https://doi.org/10.1051/e3sconf/202344306011

15. Polevshchikov I.S., Litvinova E.V. Automated evaluation models and algorithms for optimizing exercise assessments in food production training complexes ITM Web of Conferences., ITM Web of Conferences 59, 02025 (2024). II International Workshop “Hybrid Methods of Modeling and Optimization in Complex Systems” (HMMOCS-II 2023). (year - 2024) https://doi.org/10.1051/itmconf/20245902025

16. Polevshchikov I.S., Lyapushin V.A. Алгоритмическое и программное обеспечение автоматизированной обучающей системы для подготовки операторов технологических процессов на компьютерном тренажере Научно-технический вестник Поволжья. 2024. №3., Научно-технический вестник Поволжья. 2024. №3. С. 153-159. (year - 2024)

17. Polevshchikov I.S., Nedvetskiy V.M., Snopov I.V. Веб-системы компьютерных тренажерных комплексов для сбора, обработки и визуализации данных об успеваемости обучаемых Электроэнергетика сегодня и завтра: сборник научных статей 3-й Международной научно-технической конференции (27 марта 2024 года), Курский ГАУ. - Курск: Изд-во ЗАО «Университетская книга», 2024., Электроэнергетика сегодня и завтра: сборник научных статей 3-й Международной научно-технической конференции (27 марта 2024 года), Курский ГАУ. - Курск: Изд-во ЗАО «Университетская книга», 2024. С. 237-241. (year - 2024)

18. Polevshchikov I.S., Romanov R.M., Dmitruk M.V., Nedvetsky V.M. Тренажерный комплекс для контроля знаний и навыков разработки программных модулей автоматизированных систем управления Научно-технический вестник Поволжья, 2023. №10. С. 213-216. URL: https://ntvprt.ru/files/НТВП_10_2023.php (year - 2023)

19. Romanov R.M., Polevshchikov I.S. Особенности применения тренажерно-обучающей системы при изучении основ разработки программных приложений Поколение будущего: Взгляд молодых ученых-2023: сборник научных статей 12-й Международной молодежной научной конференции (09-10 ноября 2023 года), в 4-х томах, Том 3, - Курск: ЗАО «Университетская книга», 2023., Поколение будущего: Взгляд молодых ученых-2023: сборник научных статей 12-й Международной молодежной научной конференции (09-10 ноября 2023 года), в 4-х томах, Том 3, - Курск: ЗАО «Университетская книга», 2023. С. 91-95. (year - 2023)

20. Polevshchikov I.S., Ukolov M.S., Romanov R.M., Maksimova L.Yu. Компьютерный тренажерный комплекс для обучения задачам оптимизации и управления в пищевых производствах Дистанционное обучение в высшем образовании: опыт, проблемы и перспективы развития : XVII Всероссийская научно-практическая конференция с международным участием, 19 апреля 2024 г. Санкт-Петербург : СПбГУП, 2024., Дистанционное обучение в высшем образовании: опыт, проблемы и перспективы развития : XVII Всероссийская научно-практическая конференция с международным участием, 19 апреля 2024 г. Санкт-Петербург : СПбГУП, 2024. С. 97-98. (year - 2024)