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Международный научный журнал «ИННОВАЦИОННАЯ НАУКА»_ISSN 2410-6070_№ 4/2015
ТЕХНИЧЕСКИЕ НАУКИ
УДК 303.733.32
Akhmetshin I.R., Afanaseva O. V., Ph.D, AP
System Analysis and Control Department, Faculty of Economics, National Mineral Resources University (University of Mines), Saint Petersburg, Russia
METHODS OF STUDY DESIGN AND TECHNOLOGICAL SOLUTIONS HEATING AND VENTILATION SYSTEMS BASED ON STATISTICAL ANALYSIS
Abstract
Results the analysis of statistical data on the basic, to applied heating and ventilating systems are given. The technique which can be used by leading structures of the enterprises for the purpose of a choice of partners among suppliers and customers is offered.
Keywords
Analysis, assessment, forecast, heating and ventilating system.
Needs and demands of specific work types should guide the range of services in the field of engineering systems of building and structures for successful development of the company [3, p. 84]. Effective operation at the internal and external markets require knowledge and consideration of objective market laws, ability to organize and receive operational use of market information, ability to increase the competitiveness of organization etc [2, p. 119].
Objective of the research is to study the statistical data for assessing relevance forecast of a particular heating and ventilation system.
The analysis of statistical data used by main heating and ventilation systems showed that systems indicators have different trends in different time periods. Therefore it seems appropriate and in most cases relevant for management to implement a comprehensive comparative evaluation of the relevance of each system at different stages.
Based on principles of information and statistical approach it is appropriate to apply specialized packet data STATGRAPHICS Plus for Windows, with base system contained a fairly complete set of common statistical data analysis types, to evaluate the relevance of heating and ventilation systems. Moreover additional modules offer to a scalable system [1, p. 33]. Statistical data analysis identified the main heating and ventilation systems used in 19902014 yy.
Figure 1 show the predictive models built for the analyses of the one-pipe heating system; figure 2 show the predictive models built for the analyses of the two-pipe riser heating system; figure 3 show the predictive models built for the analyses of the heating system with two-pipe incidental internal distribution; figure 4 show the predictive models built for the analyses of the heating system with two-pipe beam internal distribution; figure 5 show the predictive models built for the analyses of the heating system with inside heated floor layout; figure 6 show the predictive models built for the analyses of the natural exhaust ventilation system channel; figure 7 show the predictive models built for the analyses of the mixed ventilation system; figure 8 show the predictive models built for the analyses of the artificial supply and exhaust ventilation system; figure 9 show the predictive models built for the analyses of the conditioning duct system.
2 4 6 8
Figure 1 One-pipe heating system
Figure 2 Two-pipe riser heating system
Figure 3 Heating system with two-pipe incidental internal distribution
Figure 4 Heating system with two-pipe beam internal distribution
Figure 5 Heating system with inside heated floor layout
Figure 6 Natural exhaust ventilation system channel
Figure 7 Mixed ventilation system
Figure 8 Artificial supply and exhaust ventilation system
2 4 6 8 10
Figure 9 Conditioning duct system
Simulation results analysis showed that the most promising is heating system with two-pipe beam internal distribution. The system has highest complex refractive and ever-increasing trend. The leadership of the system demonstrated far ahead of the other systems. This is explained by using the most advanced materials, durability and efficiency of the system.
Ventilation systems of the leadership still takes natural exhaust ventilation system since it is the simplest and budget one. Forecast outsider is conditioning duct system. This is due to high cost of equipment, complexity of installation and commissioning works. In spite of all the disadvantages of this system it becomes more urgent due to advantages not found in one of the other systems, as well as the system has an increasing trend.
As a result of the work established that indicators systems have different trends in different time periods. Therefore seems appropriate and in most cases the actual for management to implement a comprehensive comparative relevance evaluation of each system at different stages.
The available information situation shows that the most effectively have models constructed using the principle of maximum uncertainty. One approach based on this principle is potential method of probability distribution.
Studies suggest the methodology proposed in the comparative evaluation of heating and ventilation system has the necessary objectivity and sufficient reliability. The methodology can be used by enterprise's management to select partners of suppliers and customers.
List of references
1. Afanaseva O.V. Information-analytical prediction specifications heating and ventilation systems /Afanaseva O.V., Akhmetshin I.R. //Actual problems of the humanities and the natural sciences.- 2014.- № 7-1.- P. 32-36.
2. Afanaseva, O.V. Probabilistic methods for predicting complex systems. Part I: Training. Benefit / O. V. Afanasyeva. - St. Petersburg. SZTU, 2008. - 197 p.
3. Golik, E.S. Theory and methods of statistical prediction: a tutorial / E.S.Golik, O.V.Afanasyeva. - St. Petersburg. SZTU, 2007.- 182 p.
© О.В. Афанасьева, И.Р. Ахметшин, 2015
УДК 621.316.718
А.А. Азарян
студент 5 курса С.В. Черных
студент 3 курса А.П. Волошин
ассистент Факультет энергетики Кубанский государственный аграрный университет г. Краснодар, Российская Федерация
ОСОБЕННОСТИ ПРИМЕНЕНИЯ ШАГОВЫХ ДВИГАТЕЛЕЙ ДЛЯ ЭЛЕКТРОПРИВОДА МЕХАНИЗМОВ С ПРОГРАММНЫМ УПРАВЛЕНИЕМ.
Аннотация
Одним из главных преимуществ шаговых двигателей является возможность осуществлять точное позиционирование и регулировку скорости без датчика обратной связи. Управление шаговым двигателем сводится к задаче отработать определенное число шагов в нужном направлении и с нужной скоростью. Все большее распространение шаговые двигатели применяют в электроприводе механизмов с числовым программным управлением.
Ключевые слова
Шаговый двигатель, позиционирование, коммутатор, схема работы шагового двигателя.
