СРАВНИТЕЛЬНЫЙ АНАЛИЗ SCADA-СИСТЕМ С ТОЧКИ ЗРЕНИЯ ВОЗМОЖНОСТИ ПРОГНОЗИРОВАНИЯ СОСТОЯНИЯ ТЕХНИЧЕСКИХ ОБЪЕКТОВ
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Научный журнал Моделирование, оптимизация и информационные технологииThe scientific journal Modeling, Optimization and Information Technology
Online media
issn 2310-6018

THE COMPARATIVE ANALYSIS OF SCADA-SYSTEMS FROM THE POINT OF VIEW MAINTAINANCE OF TECHNICAL OBJECTS

Kazakov Y.N. 

UDC 621.396
DOI:

  • Abstract
  • List of references
  • About authors

This paper analyzes the characteristics of building information-measuring systems. The SCADA systems are reviewed that have official distributors in Russia and is designed to work with Windows. Their basic structure, is specified marked by the practical application. The analysis of methods of forecasting of the technical condition of the various systems is given. The factors influence the choice of method of forecasting are shown.

1. Scada . ru - Публикации - SCADA - системы: взгляд изнутри // URL: http://www.scada.ru/publication/book/preface.htm

2. GENESIS32 Getting Started //URL:(http://downloads.braasco.com/Iconics/Product%20Guides/Getting_St arted.pdf)

3. Andreev E.B., Mezentseva S.A., Pelipets S.V. "System Design controls in the InTouch SCADA package. "Computer workshop. - M.: Russian State University of Oil and Gas, 2009 .-- 83 p.

4. Kravchenko I. Century. SCADA TRACE MODE 6 technologies for creating telemechanical control systems // Automation in industry. 2008. No. 4. P. 47-48.

5. Malovik K.N. Development of the scientific basis for improving the quality of assessment and forecasting the resource characteristics of complex objects: Monograph. Sevastopol: SNUYaEiP, 2013, 332 p.

6. Ostreykovsky V.A. Aging and prediction of equipment life nuclear power plants. - M .: Energoatomizdat, 1994 .-- 288 p.

7. Soldatova O. Application of neural networks for solving problems forecasting / O. Soldatova, V. Semenov // Investigated in Russia: electric scientific magazine. - 2006.

8. RD 153-34.0 09-.115-98. Forecasting guidelines specific fuel consumption. - M .: ORGRES Excellence Service, 1998 .-- 39 p.

9. Lukashin Yu.P. Adaptive methods for forecasting time series / Yu.P. Lukashin. M.: Finance and Statistics, 2003.416 p.

10. Transfiguration Yu.P. Statement and classification of tasks optimal management of production facilities / Yu.P. Preobrazhensky, R.Yu. Panevin // Bulletin of Voronezh State Technical University. 2010.Vol. 6. No. 5. P. 99-102.

11. Moskalchuk Yu.I. Problems of optimization of innovative processes in organizations / Yu.I. Moskalchuk, E.G. Naumova, E.V. Kiseleva / Modeling, optimization and information technology. 2013. № 2, p. 10.

12. Zyablov E.L. Building an object-semantic model of the system Management / E.L. Zyablov, Yu.P. Preobrazhensky // Bulletin Voronezh Institute of High Technologies. 2008. No. 3. S. 029-030.

13. Lisitsky D.S. The construction of a simulation model of socio-economic system / D.S. Lisitsky, Yu.P. Preobrazhensky // Bulletin of the Voronezh Institute of High Technologies. 2008. No. 3. S. 135-136.

14. Fomina Yu.A. Search Indexing Principles systems / Yu.A. Fomina, Yu.P. Preobrazhensky // Bulletin Voronezh Institute of High Technologies. 2010. No. 7. S. 98-100.

Kazakov Yevgeniy Nikolayevich

Email: kazakov_evnik@mail.ru

Voronezh Institute of High Technologies

Voronezh, Russian Federation

Keywords: information-measuring system, forecasting, program, information technology

For citation: Kazakov Y.N. THE COMPARATIVE ANALYSIS OF SCADA-SYSTEMS FROM THE POINT OF VIEW MAINTAINANCE OF TECHNICAL OBJECTS. Modeling, Optimization and Information Technology. 2016;4(1). URL: https://moit.vivt.ru/wp-content/uploads/2016/02/Kazakov_1_16_1.pdf DOI: (In Russ).

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Published 31.03.2016