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CREATION OF A DATABASE FOR THE PREPARATION OF A PROGRAMMABLE LOGIC CONTROLLER-BASED TRAINING SIMULATOR Rakhmonov I.U.1, Kurbonov N.N.2, Ganiev Sh.R.3, Erezhepov M.T.4
1Rakhmonov Ikromjon Usmonovich - Doctor of Technical Sciences, Head of the Department;
2Kurbonov Nurbek Nurullo ugli - doctoral student, associate professor, DEPARTMENT OF ELECTRICAL SUPPLY, TASHKENT STATE TECHNICAL UNIVERSITY, TASHKENT; 3Ganiev Shakhruz Razhabovich - Deputy Dean, BUKHARA INSTITUTE OF NATURAL RESOURCES MANAGEMENT, BUKHARA;
4Erezhepov Madiyar Tazhetovich - Senior Lecturer, KARAKALPAK STATE UNIVERSITY. NUKUS, REPUBLIC OF UZBEKISTAN
Abstract: the use of Programmable Logic Controllers (PLCs) in controlling and automating industrial processes requires a high level of technical knowledge and skills. One way to train operators and technicians on the use of PLCs is through the use of training simulators. This study presents the formation of a database for the preparation of a training simulator based on a programmed logical controller. The database was formed by collecting data from an existing PLC-controlled process and creating a simulation model of the process. The simulation model was integrated with a user interface to create a training simulator that accurately simulates the behavior of the PLC-controlled process and provides an interactive platform for training. Keywords: from programmable logic controllers (PLCs), virtual laboratory, technical higher education institutions, simulation model.
СОЗДАНИЕ БАЗЫ ДАННЫХ ДЛЯ ПОДГОТОВКИ УЧЕБНОГО СИМУЛЯТОРА НА БАЗЕ ПРОГРАММИРУЕМОГО ЛОГИЧЕСКОГО КОНТРОЛЛЕРА Рахмонов И.У.1, Курбонов Н.Н.2, Ганиев Ш.Р.3, Ережепов М.Т.4
1Рахмонов Икромжон Усмонович - доктор технических наук, заведующий кафедрой;
1Курбонов Нурбек Нурулло угли - докторант, доцент, кафедра электроснабжение, Ташкентский государственный технический университет, г. Ташкент;
2Ганиев Шахруз Ражабович- заместитель декана, Бухарский институт управления природными ресурсами, г. Бухара; 3Ережепов Мадияр Тажетович - старший преподаватель, Каракалпакский государственный университет. г. Нукус, Республика Узбекистан
Аннотация: использование программируемых логических контроллеров (ПЛК) для управления и автоматизации промышленных процессов требует высокого уровня технических знаний и навыков. Одним из способов обучения операторов и техников работе с ПЛК является использование тренажеров. В данном исследовании представлено формирование базы данных для подготовки тренажера на базе программируемого логического контроллера. База данных была сформирована путем сбора данных из существующего процесса, управляемого ПЛК, и создания имитационной модели процесса. Имитационная модель была интегрирована с пользовательским интерфейсом для создания обучающего симулятора, который точно имитирует поведение процесса, управляемого ПЛК, и представляет собой интерактивную платформу для обучения.
Ключевые слова: программируемых логических контроллеров (ПЛК), виртуальная лаборатория, технические вузы, имитационная модель.
UDC 623.592
Advances in technology in industry have led to the increased use of Programmable Logic Controllers (PLC) in controlling and automating various processes [1]. However, proper operation and maintenance of PLCs requires a high level of technical knowledge and skills. One way to train operators and technicians to use PLCs is to use training simulators. This study aims to present the database formation for the training simulator based on the programmed logic controller.
Programmable logic controllers (PLCs) are widely used in industrial settings to control and automate various processes. These devices require a high level of technical knowledge and skills to operate and maintain them properly [2,3]. Training operators and technicians in the use of PLCs is essential to ensure the efficient and safe
operation of industrial processes. One of the effective methods of training in PLC is the use of training simulators.
Training simulators allow operators and technicians to practice and improve their skills in a simulation environment that mimics the behavior of real PLC-controlled processes. However, the development of training simulators requires a large amount of data and information about the PLC-controlled process as well as the PLC program itself. This study aims to present the database formation for the training simulator based on the programmed logic controller [3,4,5]. The study discusses methods used to collect data from an existing PLC-controlled process, create a simulation model of the process, and integrate the simulation model with a user interface to create a training simulator. The purpose of this study is to provide a detailed methodology for building a database to prepare a training simulator that can be used to train operators and technicians in the use of PLCs in industrial settings.
The database for the training simulator was formed by collecting data from an existing PLC-controlled process. The process was analyzed and the PLC program was broken down into individual instructions. These instructions were then used to create a simulation model of the process. The simulation model was then combined with a user interface to create a training simulator.
The training simulator was able to accurately simulate the PLC-controlled process. The simulation model was able to reproduce the behavior of the process, including the response to different input conditions. The simulator's user interface allowed manipulation of input conditions and monitoring of process output.
The results of this study show that the formation of a database for the preparation of a training simulator based on a programmed logic controller was successful. Data collected from an existing PLC-controlled process was used to create a simulation model of the process. The simulation model was able to accurately reproduce the behavior of the process, including the response to different input conditions [6,7,12]. The simulation model was then combined with a user interface to create a training simulator.
The training simulator was able to accurately simulate the PLC-controlled process. The simulator's user interface allowed manipulation of input conditions and monitoring of process output. The simulator provided an interactive platform for training operators and technicians on the use of PLCs in a simulated environment that mimics the behavior of real PLC-controlled processes [11].
In addition, the results showed that the training simulator can be used to train operators and technicians to use PLCs in a safe and controlled environment without affecting the actual process, helping to reduce the risk of failures and downtime.
In general, the results of this study show the effectiveness of using training simulators in PLC training and the importance of forming a database for training a training simulator based on a programmed logic controller.
One potential area of discussion could be the effectiveness of using training simulators in PLC training. The results of this study show that the training simulator was able to accurately simulate the behavior of the PLC-controlled process and provided an interactive platform for training operators and technicians [8, 10, 11, 13]. This supports previous research that has shown the benefits of using training simulators in PLC training, such as improving technical knowledge and skills, increasing productivity and reducing the risk of failures and downtime in industrial processes.
Another area of discussion will be the importance of building a database for training a training simulator based on a programmable logic controller. A research methodology for collecting data from an existing PLC-controlled process, creating a simulation model, and integrating it with a user interface serves as a guide for other researchers and practitioners who wish to develop their own training simulators. When receiving new data, data is checked to ensure that it is not duplicated. and duplicate data is deleted (Figure 1). The results of this study show that a comprehensive database is critical to the proper simulation of a PLC-controlled process and therefore to the success of a training simulator.
In addition, the authors can discuss the limitations of this study and future research areas. For example, the study focused on a single PLC-controlled process, and further research could be conducted to test the generalizability of the methodology across different types of processes and PLCs.
Overall, the discussion section provides a thorough analysis of the findings and implications of the study, as well as suggestions for future research in the field of PLC training simulators.
One potential area of discussion could be the effectiveness of using training simulators in PLC training.
Fig. 1. Algorithm of receiving data.
The results of this study show that the training simulator was able to accurately simulate the behavior of the PLC-controlled process and provided an interactive platform for training operators and technicians. This supports previous research that has shown the benefits of using training simulators in PLC training, such as improving technical knowledge and skills, increasing productivity and reducing the risk of failures and downtime in industrial processes.
Another area of discussion will be the importance of building a database for training a training simulator based on a programmable logic controller. A research methodology for collecting data from an existing PLC-controlled process, creating a simulation model, and integrating it with a user interface serves as a guide for other researchers and practitioners who wish to develop their own training simulators. The results of this study show that a comprehensive database is critical to the proper simulation of a PLC-controlled process and therefore to the success of a training simulator [5-10].
In addition, the authors can discuss the limitations of this study and future research areas. For example, the study focused on a single PLC-controlled process, and further research could be conducted to test the generalizability of the methodology across different types of processes and PLCs [12, 13].
Overall, the discussion section provides a thorough analysis of the findings and implications of the study, as well as suggestions for future research in the field of PLC training simulators.
References / Список литературы
1. Yau, Ken & Chow, K.P. & Yiu, Siu-Ming. (2018). A Forensic Logging System for Siemens Programmable Logic Controllers. 10.1007/978-3-319-99277-8_18.
2. Rakhmonov I. U., Kurbonov N.N. Educational simulations are factors of strengthening theoretical knowledge in quality // «Иктисодиётни ракамлаштириш шароитларида энеретиканинг долзарб муаммолари» мавзусидаги Халкаро илмий-амалий конференцияси. Бухоро шадри 24-26 ноябрь 2022 йил.. 34-38 б.
3. Kurbonov N.N., Rakhmonov I. U. Simulation of the power supply system using industrial 4.0 wireless tools // "Тинчуринские чтения - 2022 «энергетика и цифровая трансформация" Международная молодежная научная конференция. Казан, 27-29 апреля 2022 г. 14-17 с.
4. Kydles Jens & Walter Markus. (2014). Method for verifying an application program in a failsafe programmable logic controller, and programmable logic controller for performing the method.
5. Kasemsap Kijpokin. (2017). The Role of Social Capital in Higher Education Institutions. 10.4018/978-1-5225-1837-2.ch074.
6. Rakhmonov I.U., Kurbonov N.N., Bijanov A.K. Types of simulators and their efficient architectures //Вестник науки и образования ISSN 2312-8089. № 9 (129). 2022 PP. 13-19.
7. Hrynkiewicz Edward & Milik Adam & Polok Dariusz. (2009). Programmable Logic Controller based on reconfigurable logic. 10.1109/SIITME.2009.5407367.
8. Kelemen Michal & Sincak Peter. (2020). Programmable logic controller training stands for educational purposes. Technical sciences and technologies. 274-280. 10.25140/2411-5363-2020-3(21)-274-280.
9. Berlik S. & Melnikov V. & Ivanov A. & Sergushev A. & Yakovlev A.. (2020). Programmable logic controller based on the Russian hardware components. Radio industry (Russia). 30. 125-144. 10.21778/2413-95992020-30-4-125-144.
10. Rakhmonov I.U., Kurbonov N.N., Bijanov A.K. Types of simulators and their efficient architectures // "Вестник науки и образования" ISSN 2312-8089. № 9 (129). 2022 PP. 13-19.
11. Рахмонов И.У., Ушаков В.Я., Ниёзов Н.Н. Определение факторы, влияющие на потребления электроэнергии предприятиями машиностроения при прогнозирование // «Проблемы современной науки и образования» ISSN 2413-4635, № 8 (177), 2022. 19-24 с.
12. Рахмонов И.У., Ниёзов Н.Н., Махмутхонов С.К. Эффективная архитектура симулятора для беспроводных устройств industry 4.0 // «European science» ISSN 2541-786Х, № 2 (64), 2022. 9-12 с.
13. Ушаков В.Я., Рахмонов И.У., Жалилова Д.А. Прогнозирование электропотребления текстильными предприятиями на основе метода главных компонент // «Проблемы науки» ISSN 2542-078Х, № 5 (73), 2022. 22-26 с.
