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INVESTIGATION OF DYNAMIC CHARACTERISTICS OF ELEMENTS OF AUTOMATICS OF A SMART HOUSE IN PARAMETRICAL STRUCTURAL SCHEMES

Vestnik MGSU 12/2017 Volume 12
  • Zaripova Victoria Madiyarovna - Astrakhan State University of Architecture and Civil Engineering (ASUACE) Candidate of Technical Sciences , Associate Professor of the Department of Computer Aided Design and Modeling Systems, Astrakhan State University of Architecture and Civil Engineering (ASUACE), 18 Tatishchev st., Astrakhan, 414056, Russian Federation.
  • 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.
  • Shumak Kirill Alekseevich - Astrakhan State University of Architecture and Civil Engineering (ASUACE) Senior Lecturer of the Department of Computer Aided Design and Modeling Systems, Astrakhan State University of Architecture and Civil Engineering (ASUACE), 18 Tatishchev st., Astrakhan, 414056, Russian Federation.
  • Lezhnina Yulia Arkad’evna - Astrakhan State University of Architecture and Civil Engineering (ASUACE) Candidate of Technical Sciences, Associate Professor of the Department of Computer Aided Design and Modeling Systems, Astrakhan State University of Architecture and Civil Engineering (ASUACE), 18 Tatishchev st., Astrakhan, 414056, Russian Federation.

Pages 1424-1434

Subject: automation of calculation of dynamic characteristics of the device being designed in the system of conceptual design of sensor equipment, structurally-parametric models of dynamic processes and algorithms for the automated calculation of the qualitative characteristics of elements of the information-measuring and control systems (IMCS). The stage of conceptual design most fully determines the operational characteristics of technical systems. However, none of the information support systems of this stage provides an opportunity to evaluate the performance characteristics of the element being designed taking into account its dynamic characteristics. Research objectives: increasing the effectiveness of the evaluation of dynamic characteristics of sensitive elements of the information-measuring and control systems of a smart house. Materials and methods: when solving the problems posed, the mathematical apparatus of system modeling was used (in particular, the energy-information method of modeling processes of various physical nature that occur in the sensor equipment); the main provisions of the theory of automatic control, the theory of constructing computer-aided design systems, the theory of operational calculus; basics of conceptual design of elements of the information-measuring and control systems. Results: we compared the known automated systems for conceptual design of sensors, highlighted their advantages and disadvantages and we showed that none of these systems allows us to investigate dynamic characteristics of the element being designed in a simple and understandable for engineer form. The authors proposed using energy-information method of modeling for the synthesis of operation principles of sensors and analysis of their dynamic characteristics. We considered elementary dynamic chains and issues of synthesis of parametrical structural schemes that reflect the dynamics of the process with the use of mathematical apparatus of operational calculus. We developed the project of automated system of the conceptual design of the sensor equipment that allowed us to visualize construction of the parametrical structural schemes and representation of evaluation results of the dynamic characteristics. Conclusions: it was shown that the energy-information models of chains of various physical nature can be used for synthesis of parametrical structural schemes with dynamic links. The mathematical apparatus was developed for evaluation of dynamic characteristics of parametrical structural schemes in analytic form. We also presented the information flow diagram and the functional model of the subsystem of synthesis of sensor operation principals with allowance for dynamic characteristics.

DOI: 10.22227/1997-0935.2017.12.1424-1434

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SYSTEM ENGINEERING OF FUNCTIONAL MODELING OF INTELLIGENT BUILDINGS

Vestnik MGSU 10/2015
  • Volkov Andrey Anatol’evich - Moscow State University of Civil Engineering (National Research University) (MGSU) Doctor of Technical Sciences, Professor, Rector, Moscow State University of Civil Engineering (National Research University) (MGSU), 26 Yaroslavskoe shosse, Moscow, 129337, Russian Federation.
  • Batov Evgeniy Igorevich - Moscow State University of Civil Engineering (National Research University (MGSU) postgraduate student, Department of Information Systems, Technology and Automation in Construction, Moscow State University of Civil Engineering (National Research University (MGSU), 26 Yaroslavskoe shosse, Moscow, 129337, Russian Federation.

Pages 188-193

The authors’ scientific hypothesis is that a selection of the most appropriate smart building solution for a particular building can be done properly only using functional modeling. “Intelligent” building was examined from the point of view of systems theory and cybernetics for the purpose of identifying essential factors which should be taken into account in functional modeling. The goal of an “intelligent” building, as a system, was identified as a continuous adaptation to the building occupants’ life-cycle. Building Intelligence Quotient serves the purpose of a quantification of the system’s goal. The system state is a set of building parameters which can be measured by sensors and meters. Two main factors that influence the changes of the system state are: occupants’ activities and outside environment changes. A functional model of an “intelligent” building should be able to provide the ability to simulate such influence. Based on the conducted system analysis, system engineering principles, which can be particularly helpful for a functional model development of “intelligent” buildings, were selected: the principle of a functional system, the probabilistic-statistical principle, the principle of simulation modeling, the principle of interactive graphics, the feasibility study principle.

DOI: 10.22227/1997-0935.2015.10.188-193

References
  1. Ashby W.R. An Introduction to Cybernetics. Second Impression. London, Chapman & Hall Ltd, 1957, pp. 86—93.
  2. Surmin Yu.P. Teoriya sistem i sistemnyy analiz [Theory of Systems and System Analysis]. Kiev, MAUP Publ., 2003, p. 64. (In Russian)
  3. Volkov A.A. Intellekt zdaniy: formula [Intelligence of Buildings: the Formula]. Promyshlennoe i grazhdanskoe stroitel’stvo [Industrial and Civil Engineering]. 2012, no. 3, pp. 54—57. (In Russian)
  4. Volkov A.A. Intellekt zdaniy. Chast’ 2 [Intelligence of buildings. Part 2]. Vestnik MGSU [Proceedings of Moscow State University of Civil Engineering]. 2009, no. 1, pp. 213—216. (In Russian)
  5. Volkov A.A. Gomeostaticheskoe upravlenie zdaniyami [Homeostatic Management of Buildings]. Zhilishchnoe stroitel’stvo [House Construction]. 2003, no. 4, pp. 9—10. (In Russian)
  6. Gusakov A.A. Sistemotekhnika stroitel’stva [System Engineering of the Construction]. Moscow, Stroyizdat Publ., 1993, 368 p. (In Russian)
  7. Mozer M.C. Lessons from an Adaptive Home. Smart Environments: Technologies, Protocols, and Applications. Edited by D.J. Cook and S.K. Das. 2005, John Wiley & Sons, Inc. DOI: http://dx.doi.org/10.1002/047168659X.ch12.
  8. National Building Information Model Standard Project Committee: National BIM Standard — United States. Data access: https://www.nationalbimstandard.org/.
  9. BuildingSmart. Data access: http://www.buildingsmart.org.
  10. Volkov A.A. Kompleksnaya bezopasnost’ uslovno-abstraktnykh ob”ektov (zdaniy i sooruzheniy) v usloviyakh chrezvychaynykh situatsiy [Integrated Safety of conditionally abstract objects (buildings and structures) in emergency situations]. Vestnik MGSU [Proceedings of Moscow State University of Civil Engineering]. 2007, no. 3, pp. 30—35. (In Russian)
  11. Volkov A.A. Sistemy aktivnoy bezopasnosti stroitel’nykh ob”ektov [Active Safety Systems of Construction Sites]. Zhilishchnoe stroitel’stvo [House Construction]. 2000, no. 7, p. 13. (In Russian)
  12. Volkov A.A., Yarulin R.N. Avtomatizatsiya proektirovaniya proizvodstva remontnykh rabot zdaniy i inzhenernoy infrastruktury [Computer-Aided Design of Repairs of Buildings and the Engineering Infrastructure]. Vestnik MGSU [Proceedings of Moscow State University of Civil Engineering]. 2012, no. 9, pp. 234—240. (In Russian)

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MIDDLEWARE FOR FUNCTIONAL MODELING OF INTELLIGENT BUILDINGS

Vestnik MGSU 10/2015
  • Volkov Andrey Anatol’evich - Moscow State University of Civil Engineering (National Research University) (MGSU) Doctor of Technical Sciences, Professor, Rector, Moscow State University of Civil Engineering (National Research University) (MGSU), 26 Yaroslavskoe shosse, Moscow, 129337, Russian Federation.
  • Batov Evgeniy Igorevich - Moscow State University of Civil Engineering (National Research University (MGSU) postgraduate student, Department of Information Systems, Technology and Automation in Construction, Moscow State University of Civil Engineering (National Research University (MGSU), 26 Yaroslavskoe shosse, Moscow, 129337, Russian Federation.

Pages 182-187

The main aim of intelligent building as a system is constant adaptation to life cycle of inhabitants, preservation of dynamic equilibrium (homeostasis) of the building parameters corresponding to the preferences of the residents, energy efficiency and safety. Adaptation happens with the help of three additional groups of components if compared to common buildings. They form a system of “artificial” building intelligence: hardware, software, communication network. This article concerns integration of an intelligent building and a functional model. The usage of middleware for integration was substantiated. The following requirements to middleware were set: delivery to several recipients, low-latency, asynchronous delivery, messages prioritization, durability and configurable time to live, heterogeneous integration. Based on the conducted analysis, message-oriented middleware with publisher-subscriber and point-to-point models was selected. The authors proved that middleware is necessary for integration of the system of artifical intelligence of a building and a functional model. The most adaptable solution is today the use of middleware based on message passing.

DOI: 10.22227/1997-0935.2015.10.182-187

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