A.A. Baydarov - Ph.D. (Eng.), Associate Professor, Department of Automation and Telemechanics, Perm National Research Polytechnic University. E-mail: cchp@bk.ru A.A. Yuzhakov - Dr.Sc. (Eng.), Professor, Department of Automation and Telemechanics, Perm National Research Polytechnic University. E-mail: uz@at.pstu.ru A.A. Loskutov - Post-graduate Student, Department of Automation and Telemechanics, Perm National Research Polytechnic University. E-mail: aaloskutov@mail.ru

One of the actual directions for introduction of intellectual control systems is providing a comfortable microclimate of the room. The intellectual control system is capable not only to optimize work of various climatic equipment, but also to cut expenses on operation due to optimization of parameters. Such systems it is freely integrated into system of the centralized control and management of the building of engineering, technological, information and communication systems. Besides, intellectual control systems increase reliability and provide protection of the elements and knots from premature wear and failure. With use of the knowledge base constructed on neural networks systems self-training allow to make use of similar systems, and possibilities of creation of data of systems on the basis of technologies of virtualization give the chance to considerably lower both technical, and financial expenses, allowing to realize the required solutions at qualitatively new level.

 

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