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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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

References
  1. Nakashima H., Aghajan H., Augusto J.C. Handbook of Ambient Intelligence and Smart Environments. New York, Springer, 2010, 1294 p. DOI: http://dx.doi.org/10.1007/978-0-387-93808-0.
  2. Badica C., Brezovan M., Badica A. An Overview of Smart Home Environments: Architectures, Technologies and Applications. Local Proceedings of the Sixth Balkan Conference in Informatics Thessaloniki, Greece, September 19—21, 2013. Pp. 78—86.
  3. «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)
  4. Aldrich Frances K. Smart Homes: Past Present, and Future. Inside the Smart Home (ed. Richard Harper). N.P. London, Springer, 2003.
  5. Smart Homes Market by Product, Protocol and Technology, Service and Geography — Trend and Forecast to 2020. Available st: http://www.marketsandmarkets.com/Market-Reports/smart-homes-and-assisted-living-advanced-technologie-and-global-market-121.html. Date of access: 14.06.2015.
  6. Sinyaeva Yu. Oplata ZhKKh s”edaet pochti 11 % byudzheta rossiyan [Housing and Utility Payment Takes nearly 11 % of the Budget of Russians]. Ezhednevnaya delovaya gazeta RBK [Daily Business Newspaper RBK]. 18.09.2012. Available at: http://www.rbcdaily.ru/politics/562949984735652. Date of access: 28.07.2015. (In Russian)
  7. Carrie MacGillivray, Vernon Turner. Worldwide Internet of Things Forecast, 2015—2020. May 2015. Available at: http://www.idc.com/getdoc.jsp?containerId=256397. Date of access: 28.07.2015.
  8. Gassmann O., Meixner H. Sensors in Intelligent Buildings. New York, Wiley, 2002, vol. 2. DOI: http://dx.doi.org/10.1002/3527600302.
  9. Petrova Irina, Zaripova Viktoriya, Lezhnina Yuliya. Sensors for Information-Measuring and Control Systems for Hi-Tech Building. Proceedings in Advanced Research in Scientific Areas 2014, vol. 3, no. 1, pp. 336—342. Available at: http://www.arsa-conf.com/archive/?vid=1&aid=1&kid=60301. Date of access: 14.06.2015.
  10. Vasil’ev V.A., Chernov P.S. Intellektual’nye datchiki, ikh seti i informatsionnye sistemy [Intelligent Sensors, Their Networks and Information Systems]. INTERMATIC — 2012 : materialy Mezhdunarodnoy nauchno-tekhnicheskoy konferentsii (3—7 dekabrya 2012 g.) [INTERMATIC — 2012 : Materials of the International Science and Technical Conference (December, 3—7, 2012)]. 2012, part 4, pp. 119—122. (In Russian)
  11. Intellektual’nye preobrazovateli temperatury serii Metran-280 [Intelligent Converters of Temperature of Metran-280 Series]. Available at: http://www.metran.ru/products/siz/dat/m280/. Date of access: 14.06.2015.
  12. Skorfild S. Mul’tisensor — effektivnoe reshenie problemy lozhnykh srabatyvaniy sistem pozharnoy signalizatsii [Multisensor — an Effective Solution of the False Alarms Problem in Fire Alarm Systems]. Sistemy bezopasnosti [Safety Systems]. 2006, no. 5 (71), pp. 128—133. (In Russian)
  13. Kombinirovannye datchiki pozharnoy bezopasnosti IQ8Quad kompanii Esser by Honeywell [Combined Smoke Detectors IQ8Quad of the Company Esser by Honeywell]. Armo-sistemy [ARMO-Systems]. Available at: http://www.armosystems.ru/system/fire-safety-sensors.ahtm. Date of access: 23.06.2015. (In Russian)
  14. High Sensitivity Enables Detection of Stationary Human Presence. Available at: http://www.omron.com/ecb/products/pdf/en-d6t.pdf. Date of access: 23.06.2015.
  15. Sysoeva S. Magnitoupravlyaemye, MEMS i mul’tisensornye datchiki dvizheniya 2009 goda — funktsional’nee, tochnee, miniatyurnee predshestvennikov [Magnetically Operated, MEMS and Multisensory Sensors of Motion, 2009 — More Functional, Precise, Small than Their Predecessors]. Komponenty i tekhnologii [Components and Technologies]. 2009, no. 8 (97), pp. 54—63. (In Russian)
  16. Sysoeva S. Novye gorizonty funktsional’noy i sistemnoy integratsii datchikov mekhanicheskogo dvizheniya [New Horizons in Functional and System Integration of Sensors of Mechanical Movement]. Komponenty i tekhnologii [Components and Technologies]. 2011, no. 1 (114), pp. 6—10. (In Russian)
  17. Growth G. Smart Sensor Networks: Technologies and Applications for Green Growth. Available at: http://www.oecd.org/internet/ieconomy/44379113.pdf. Date of access: 26.06.2015.
  18. Dibley M., Li H., Rezgui Y., Miles J. Cost Effective and Scalable Sensor Network for Intelligent Building Monitoring. International Journal of Innovative Computing, Information and Control ICIC International. 2012, vol. 8, no. 12, pp. 8415—8433.
  19. Yamanov A.D., Alevskiy D.A., Plekhanov A.E. Lokal’nye besprovodnye seti ZigBee: avtomatizatsiya zdaniy i promyshlennykh ob”ektov [Local Wireless Networks Zigbee: Automatization of Buildings and Industrial Facilities]. Zhurnal «ISUP» [Journal of Informatization and Control Systems in the Production]. 2012, no. 6 (42), pp. 83—87. Available at: http://www.analytic.ru/articles/lib414.pdf. Date of access: 26.06.2015. (In Russian)
  20. 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)
  21. 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.
  22. 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.
  23. 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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