Infopaket

Automation and management of biotechnological production

OK 20

Обов’язкова дисципліна для ОП

First

2022/2023

8 Semester

4

Кnow the physical principles that underlie the operation of devices for measuring various technological parameters. Know the metrological characteristics and classification of measuring instruments used in biotechnological production Using the basic laws of control and regulation, to be able to build and explore mathematical models of multi-component control systems. Using the main criteria, be able to assess the quality and stability of the regulatory system. Be able to write simple micro software for microcontrollers. Be able to read block diagrams of production control systems Be able to work in a group, structure and present the results of scientific research in the form of abstracts and reports using modern technologies, correctly lead the discussion

The academic discipline "Automation and Management of Biotechnology Production" is based on such disciplines as "Higher Mathematics," "Physics," "Electrical Engineering and the Basics of Electronics," "Computational Mathematics and Programming," studied in preliminary and parallel courses. Acquired knowledge and skills in the study of the discipline. Preliminary requirements: to be able to solve systems of linear equations, to know the basics of integral and differential calculus, complex analysis, to know the basics of optics, electricity and magnetism; know the basics of digital technology and programming.

The subject of the discipline is the study of the elements of metrology, means and methods of measurement, the principles of measuring the main technological parameters under given conditions with a given accuracy. Within the discipline, the principles and laws of regulation, their technical implementation using means of reverse influence on control objects are also considered. Students get acquainted with the functioning of automation systems in general, as well as with industrial controllers and modern means of human-machine interface. In laboratory work, students acquire practical skills in measuring some parameters of technological processes, skills in building mathematical models of control systems and skills in programming controllers.

Додаткова: 5. Оберемок Є.А., Прикладна фізика. Основи програмного керування цифровими засобами автоматизації експерименту: Навчально-методичний посібник з лабораторними роботами [Електронний ресурс]/ Оберемок Є.А., Клімов О.С., Оберемок О.С. – Київ: Факультет радіофізики, електроніки та комп’ютерних систем Київського національного університету імені Тараса Шевченка, 2017. – 49 c. http://rex.knu.ua/wp/wp-content/uploads/2017/12/Prykladna-fizyka.-Osnovy-programnogo-keruvannya-tsyfrovymy-zasobamy.pdf 6. Стенцель Й.І. Автоматизація технологічних процесів хімічних виробництв.–К.: ІСДО, 1995. – 360 с. 7. Berger H. Automating with SIMATIC S7-1500 Configuring, Programming and Testing with STEP 7 Professional / Publicis Publishing, Erlangen, Germany 2014 - 831 P. 8. Шликов В.В. Мікропроцесорна техніка: Практикум: навч. посіб.– Київ : КПІ ім. Ігоря Сікорського, 2018. – 144 с.

Lectures in the amount of 12 hours Practics – 26 hours

Semester assessment: 1. Modular control work - 20 points/10 points 2. Practical tasks - 60 points/30 points 3. Abstracts/reports - 10 points/5 points 4. Verbal responses/additions - 10 points/5 points Final evaluation: in the form of offset Retaking semester control in order to improve a positive grade is not allowed. Modular control work is carried out after the completion of lectures. Evaluation of work in practical classes is carried out during the semester. Evaluation of abstracts, reports, oral answers, additions is carried out during the lecture course and practical classes.

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