Перегляд за Автор "Shkolna, Olena"

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Automation of Evaporation Plants Using Energy-Saving Technologies
(2016) Ladanyuk, Anatoly; Shkolna, Olena; Kyshenko, Vasil
The article deals with methods and ways of energy saving automatic control of sugar factory evaporators based on modern control theory, including a number of approaches that can provide both basic tasks of finished-product output and saving of energy and material resources. A great importance of an evaporator plant is admitted not only in a technological complex, but also in a heating complex of a sugar factory as a supplier of secondary steam for other subsystems of technological complex, such as vacuum devices and various heaters, to ensure their proper functioning.
Development of the Algorithm of Determining the State of Evaporation Station Using Neural Networks
(2016) Ladanyuk, Anatoly; Kyshenko, Vasil; Shkolna, Olena; Sych, Maryna
For the rational use of thermal resources with the help of optimal control of evaporation station at a sugar factory, it is necessary to carry out the operation control of the states of evaporation station, which is determined based on the current assessments of technological parameters such as levels and temperature in cases of a station, juice and syrup consumption, thermophysical characteristics of vapor as well as the level of its consumption by technological plants of the factory. The algorithm of determining the state of evaporation station as a control object based on intelligent methods of clustering and classification was developed. The applied method of clustering based on the Kohonen self-organizing maps allowed defining a set of possible states of the object on the basis on information hidden in time series of technological parameters of evaporation stations. The application of the method of fuzzy classification allowed determining the state of evaporation station in the current moment based on the values of current parameters of evaporation station and the obtained set of possible states of an object. The developed algorithm of determining the state of evaporation station as a control object is expedient to use in automated control systems with the purpose of operational determining the state of control object in order to make timely decisions on optimal control of evaporation station.
Effective Control over the Evaporation Station of Sugar Factory
(2015) Shkolna, Olena; Cherednichenko, Galina
Automation of Evaporation station based on modem methods will help to increase its functional efficiency, which would decrease costs for fuel and energy resources at sugar factory.
Individual approach to student’s computer-aided learning
(2015) Cherednichenko, Galina; Shkolna, Olena
It is well known that individual student’s attention is an essential component of effective education. Experienced teacher focuses on individual characteristics of students, which include psychological characteristics, and seeks an individual approach to each student. But what about a computer-aided learning, where direct student-to-teacher communication is minimized? For instance, the computer-aided learning is designed for self-tuition or for distance education.
Intelligent control system of evaporation system
(2016) Shkolna, Olena
Approach, which will help to improve the efficiency of the evaporation system, is the development and implementation of modern intellectual information control systems. These systems allow you to quickly search, synthesis and implementation of strategies that minimize energy consumption and resources consumption. Підхід, який дозволить підвищити ефективність випароъ установки, це розробка і впровадження сучасних інтелектуальних систем управління. Ці системи дозволяють швидко здійснювати пошук, синтез і реалізацію стратегій, які зводять до мінімуму споживання енергії та споживання ресурсів.
Non-linear recurrent analysis of the behavior of a complex technological object
(2016) Kyshenko, Vasil; Ladanyuk, Anatoly; Sych, Maryna; Shkolna, Olena
For the efficient management of a technological complex of a sugar plant, based on the synthesis of synergetic managing strategies, it is necessary to perform a number of experimental studied by methods of nonlinear dynamics. The applied method is built on such a property of a complex system as recurrence. This method of analysis is based on the representation of the properties of a complex object of management in the form of geometric space-time structures and their quantitative assessments. It, accordingly, makes it possible to carry out a prompt analysis of its behavior for making resource saving management decisions. When creating information management systems of complex objects there is always a task of assessing their state. This is caused by a continuous change in both the external environment and the object’s parameters, which is relevant for a technological complex of a sugar plant. It was established that the character of the processes that occur in the technological complex of a sugar plant is predetermined by the intermittency in behavior while it is also subject to laws of the theory of dynamic chaos. Chaotic behavior of technological objects was explored by the methods of nonlinear dynamics, which allowed us to determine qualitative and quantitative assessment of deterministic chaos. This, in its turn, makes it possible to develop of efficient systems of synergetic management that ensure maximal use of own resources of the object of management owing to the phenomena of self-organization. Для ефективного керування технологічним комплексом цукрового заводу на основі синте- зу синергетичних керуючих стратегій необхід- но встановити наявність явищ самоорганізації. Рекурентний аналіз проводився на представлен- ні властивостей складного об'єкта керування у вигляді геометричних просторово-часових струк- тур. Визначені кількісні оцінки детермінованості, стохастичності та хаотичності в поведінці технологічних процесів цукрового виробництва дозволили організувати ресурсоощадні керуючі дії.