INFORMATION SYSTEMS AND LOGISTICS IN CIVIL ENGINEERING

Design of information-measuring and control systems for intelligent buildings. Trends of development

Vestnik MGSU 12/2015
  • 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.
  • 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.
  • 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.

Pages 147-159

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

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