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Petrova Irina Yur’evna -
Astrakhan State University of Architecture and Civil Engineering (ASUACE)
Doctor of Technical Sciences, Professor, First Vice-Rector, Astrakhan State University of Architecture and Civil Engineering (ASUACE), 18 Tatishchev st., Astrakhan, 414056, Russian Federation.
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Zaripova Viktoriya Madiyarovna -
Astrakhan Institute of Civil Engineering (AICE)
Candidate of Technical Sciences, Associate Professor, Department of Computer Aided Design, Astrakhan Institute of Civil Engineering (AICE), 18 Tatishcheva str., Astrakhan, 414056, Russian Federation.
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Lezhnina Yuliya Arkad’evna -
Astrakhan Institute of Civil Engineering (AICE)
Candidate of Technical Sciences, Associate Professor, Department of Computer Aided Design, Astrakhan Institute of Civil Engineering (AICE), 18 Tatishcheva str., Astrakhan, 414056, Russian Federation.
The article considers the modern requirements for integrated management systems of a smart home. The authors propose a hierarchical classification of the levels of house automation, which allows allocating different levels of information transfer. The article considers the trends of development of information-measuring and control systems of intelligent buildings. The generalized scheme of information-measuring and control subsystems of an intelligent building are given. The energy-information model of the knowledge base of physical and technical effects described in the article allows developing a system of automated support of the conceptual stage of elements design in information measuring and control systems. With the help of this knowledge base the system allows dozens of times expanding the scope of knowledge actively used by specialists and two or three times reducing the time of creating new solutions by selecting the most efficient of the options and the underlying calculation of the essential characteristics of their conceptual models, which significantly reduces the number of created prototypes and field tests.
DOI: 10.22227/1997-0935.2015.12.147-159
References
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- «Umnye» sredy, «umnye» sistemy, «umnye» proizvodstva : seriya dokladov (zelenykh knig) v ramkakh proekta «Promyshlennyy i tekhnologicheskiy forsayt Rossiyskoy Federatsii» [Smart Entironments, Smart Systems, Smart Productions : a Series of Reports (Green Books) in Frames of the Project “Industrial and Technological Foresight of the Russian Federation]. Saint Petersburg, 2012, no. 4, 62 p. (Seriya dokladov v ramkakh proekta «Promyshlennyy i tekhnologicheskiy forsayt Rossiyskoy Federatsii» [Series of reports in frames of the project “Industrial and Technological Foresight of the Russian Federation”]) (In Russian)
- Aldrich Frances K. Smart Homes: Past Present, and Future. Inside the Smart Home (ed. Richard Harper). N.P. London, Springer, 2003.
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- Endress K. Sostoyanie i perspektivy razvitiya priborostroeniya dlya tekhnologicheskikh protsessov [The State and Development Prospects of Instrumentation for Technological Process]. Promyshlennye ASU i kontrollery [Industrial ACS and Controllers]. 2004, no. 1, pp. 45—48. (In Russian)
- Zaripova V., Petrova I. System of Conceptual Design Based on Energy-Informational Model. Progress in Systems Engineering, Proceedings of the 23rd International Conference on Systems Engineering, August, 2014, Las Vegas, NV, Series: Advances in Intelligent Systems and Computing. 2014, vol. 330, pp. 365—373. DOI: http://dx.doi.org/10.1007/978-3-319-08422-0_54.
- Zaripova V.M., Petrova I.Yu. Ontological Knowledge Base of Physical and Technical Effects for Conceptual Design of Sensors. Journal of Physics: Conference. Series 588. 2015, vol. 588, issue 1, article id. 012031, pp. 1—6. DOI: http://dx.doi.org/10.1088/1742-6596/588/1/012031.
- Zaripova V.M., Petrova I.Yu., Lezhnina Yu.A., Faber E.N. Ontologicheskaya baza znaniy po fiziko-tekhnicheskim effektam dlya avtomatizatsii tekhnologicheskikh protsessov [Ontological Knowledge Base of Physical and Technical Effects for the Automation of Technological Processes]. Vestnik Astrakhanskogo gosudarstvennogo tekhnicheskogo universiteta. Seriya: Upravlenie, vychislitel’naya tekhnika i informatika [Bulletin of the Astrakhan State Technical University. Series: Management, Computer Engineering, Computer Science]. 2015, no. 4, pp. 47—56. (In Russian)
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Shikul’skaya Ol’ga Mikhaylovna -
Astrakhan State University of Architecture and Civil Engineering (ASUACE)
Doctor of Technical Science, Professor, Department Chair, Fire Safety and Water Use Department, Astrakhan State University of Architecture and Civil Engineering (ASUACE), 18 Tatishchev st., Astrakhan, 414056, Russian Federation.
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Esmagambetov Timur Ulykmanovich -
Astrakhan State University (ASU)
postgraduate student, Department of Information Technologies, Astrakhan State University (ASU), 20a Tatishcheva str., Astrakhan, 414056, Russian Federation.
The choice and use of rational routes at strict observance of deliveries terms help to achieve not only minimization of operational expenses, but also to reduce commodity and production stocks in warehouses by 1,5...2 times. Therefore special relevance is gained by the works allowing precisely calculating the volumes of a cargo transportation, to count the quantity of transport units necessary for providing cargo flow, to define the rational routes of transportation, and also to reduce total costs of transportation. On the basis of the analysis of the known mathematical methods applied in transport logistics, the authors drew a conclusion that the route of freight delivery is estimated according to the distance passed by the vehicle. However the time of freight delivery depends not only on distance, but also on a set of other factors, such as vehicle type, road capacity, intensity of transport stream, weather conditions, season and others. For taking note of additional factors when optimizing a freight delivery route the method of analogy and similarity is used by the authors. The transportation parameters were estimated by analogy with an electric chain. For this purpose the authors entered the new concepts “fictitious distance” and “conductivity of the road”. The mathematical model allowing optimizing the organization of freight delivery taking into account not only distances, but also the probable speed of the vehicle movement depending on the road quality, intensity of transport stream and weather conditions is developed. Further development of the system of decision-making support while choosing the optimum route of cargo delivery is planned.
DOI: 10.22227/1997-0935.2015.12.160-173
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