Skip to main content
SpringerLink
Log in

Problems of Fuzzy – Multiple Control of the “Smart House” System (Review)

  • Conference paper
  • First Online:
11th International Conference on Theory and Application of Soft Computing, Computing with Words and Perceptions and Artificial Intelligence - ICSCCW-2021 (ICSCCW 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 362))

  • 411 Accesses

Abstract

A study of the available mathematical models of the “Smart Home” system, as a system that controls electrical loads, lighting, security, climate control, and media devices in households, has been carried out. The article presents an overview of the most relevant devices that carry out the technical configuration of the “Smart Home” system for controlling electrical appliances and the environment, including air temperature, humidity levels, light, noise, as well as air quality, security and alarms, cleaning and cleaning systems. It is noted that the control of all these devices and subsystems, as a rule, is based on fuzzy logic, as well as gamification as the use of fascinating elements that are usually present in games, in real or productive actions. An overview of the most relevant modern works devoted to fuzzy-multiple control of heating, energy saving, gates, lighting, watering, alarms, video surveillance is given; special attention is paid to the model of connected thermostats based on gamification, as well as to complex models of the “Smart Home” system. The second part of the review is devoted to the theoretical foundations of modeling the Internet of Things based on fuzzy-set models.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. https://ru.wikipedia.org/wiki/Fuzzy_set – Fuzzy logic and fuzzy sets and their father Lutfi Zadeh

  2. Chou, Y.-K.: Actionable gamification: beyond points, badges and leaderboards. Octalysis Media: Fremont. CA. Rev. Int. Organizaciones, (18), 137 (2016). https://doi.org/10.17345/rio18.137-144

  3. http://irvispress.ru/catalog/v-dome-i-sadu/umnyj-dom/smart-home-smart-tech/

  4. https://gooosha.ru/umnaya-kuxnya-top-15-bytovyx-priborov-kompanii-xiaomi-2018-goda/

  5. https://www.mvideo.ru/obzor-gadzhetov-dlya-umnogo-doma

  6. https://smartdomus.ru/umnyj-dom/umnaya-dacha.html

  7. Kristalinsky, V.R., Golubentsov, A.A.: Fuzzy model of control control in a smart house. Fuzzy model of control of a control system in a smart home, pp. 47–52 (2015)

    Google Scholar 

  8. Қuanyshbaeva, T.: Development and research of a system of intelligent control of energy supply of a building, P. 88 (2020)

    Google Scholar 

  9. Amosov, O.S., Baena, S.G., Ivanov, Y.S., Soe H.: Automatic barrier control system using fuzzy inference technologies and computer vision. Sci. Sci. Internet J. 9(1) (2017)

    Google Scholar 

  10. Avanyan T.G., Zubov, D.V., Paramonov, A.: Actual problems of intelligent lighting control. Izvestia MGTU “Mami” 4(22), 3, 57–58 (2014)

    Google Scholar 

  11. Mammadov, J.F., Narimanova, R.O.: Development of intellectual irrigation system for growing tea plantation. Vestnik Tambovskogo Gosudarstvennogo Tehnicheskogo Universiteta 26(2), 234–242 (2020)

    Google Scholar 

  12. Bukharin, S.V., Melnikov, A.V., Chernikov, D.N.: Preliminary clustering of video surveillance equipment based on nonlinear and fuzzy multiple quality indicators. Bull. VI Ministry Internal Aff. Russ. 3, 23–34 (2018)

    Google Scholar 

  13. Gavrishev, A.A., Burmistrov, V.A, Osipov, D.L.: Assessment of the security of wireless signaling from unauthorized access based on the concepts of fuzzy logic. Appl. Inf. 10. 4(58), 62–69 (2015)

    Google Scholar 

  14. Ponce, P., Meier, A., Méndez, J.I.: Lawrence Berkeley national laboratory. J. Cleaner Prod.40 (2020)

    Google Scholar 

  15. Rychkova, V.A.: Reliability of the “smart house” system as the main criterion for the efficiency of the functioning of an object. Bull. Sci. Educ. 4–2(58), 31–34 (2019)

    Google Scholar 

  16. Eremenko, V.T.: Informatics, Computer Science and Management, 146–151 (2017)

    Google Scholar 

  17. Application of the theory of fuzzy sets to the problem of forming a portfolio of projects

    Google Scholar 

  18. Berchuk, D.Y., Zhuravlev, D.V.: Application of fuzzy logic to control scenarios of the Smart House system. 254–255 (2016)

    Google Scholar 

  19. Averin A.I.: Intellectual house control. Smart House

    Google Scholar 

  20. Kuznetsov, I.M.: Iot and Smart Home control systems, 5

    Google Scholar 

  21. Shishov, O.V., Bobrov, M.A.: Specialized interfaces in the “Smart House” systems, 8

    Google Scholar 

  22. Alimuradov, A.K., Churakov, P.P., Kvitk, Y.S.: Voice control device for home automation system Z-Wave. 48–57 (2014)

    Google Scholar 

  23. https://Swsu.Ru/Sbornik-Statey/Metody-Regulirovaniya.Php

  24. Baigozin, D.V., Pervukhin D.N., Zakharova G.B.: Development of the principles of intelligent management of engineering equipment in the “Smart House” system. 168–172 (2008)

    Google Scholar 

  25. Karnitsky, V.Y., Ershov, S.V., Ryumov, A.Y.: Features of power supply of the “Smart House” system. 134–140 (2017)

    Google Scholar 

  26. Kovalev, C.M., Kolodenkova A.E.: Building a knowledge base of an intelligent system for monitoring and preventing risk situations for the design stage of complex technical systems. 398–409 (2017)

    Google Scholar 

  27. Ermilov, A.E., Misevich P.V.: The use of a frame model and fuzzy logic as the basis for constructing tools for automated monitoring systems. 71–76 (2015)

    Google Scholar 

  28. Glushan, V.M., Karelin, V.P., Kuzmenko, O.L.: Fuzzy models and methods of multicriteria choice in intelligent decision support systems. 106–113 (2018)

    Google Scholar 

  29. Stzheletskia, R., Demidova, G.L., Lukichev, D.V., Polyakov, N.A., Abdullin, A.A., Lovlin, S.Y.. Control algorithms for electromechanical objects using controllers based on fuzzy logic. 14 (2019)

    Google Scholar 

  30. Ignatiev, V.V., Spiridonov, O.B.: Hybrid algorithm for forming the base of rules of a fuzzy controller. 177–185 (2018)

    Google Scholar 

  31. Golosovsky, M.S., Bogomolov A.V., Terebov D.S., Yevtushenko E.V.: Algorithm for tuning a fuzzy inference system of the Mamdani type. 19–29 (2018)

    Google Scholar 

  32. Finaev: Prospects for solving control problems under uncertainty. 79–86

    Google Scholar 

  33. Finaev, E.D., Sinyavskaya, I.V.: Fur. Fuzzy model of temperature control in the baking chamber. 149–159

    Google Scholar 

  34. Shilkina, S.V., Fokina, E.N.: The controller of fuzzy logic in the management of technological processes. Vestn. SibADI 15(1), 106–114 (2018)

    Google Scholar 

  35. Yuran, S.I., Vershinin, M.N.: Improvement of the microclimate control system based on fuzzy logic Bulletin of Ngiei, 9(100), 33–45 (2019)

    Google Scholar 

  36. Bulgakov, A.G., JuburiIssam, A.l., Ali, M.: Fuzzy control system of microclimate of premises of buildings. 31–37 (2009)

    Google Scholar 

  37. Blagodarov, A.A. Kostin, Y.M., Safonov, A.S.: Tarasov Intelligent control methods in ventilation and air conditioning systems. 4 (2013)

    Google Scholar 

  38. Nadezhdin, I.S., Goryunov, A.G.: Control systems for a non-stationary object based on the MRS-controller and a pid-controller with fuzzy logic. 50–75

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Private Educational Institution of Higher Education “Southern University (IMBL)”, Rostov-on-Don, Russia

    G. Akperov Imran

  2. Rostov State University of Economics, Rostov-on-Don, Russia

    Sakharova Lyudmila

Authors
  1. G. Akperov Imran
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Sakharova Lyudmila
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to G. Akperov Imran .

Editor information

Editors and Affiliations

  1. Department of Control Systems, Azerbaijan State Oil and Industry University, Baku, Azerbaijan

    Rafik A. Aliev

  2. System Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Janusz Kacprzyk

  3. Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada

    Witold Pedrycz

  4. Department of Electrical and Computer Engineering, University of Texas at San Antonio, San Antonio, TX, USA

    Mo Jamshidi

  5. Azerbaijan State Oil and Industry University, Baku, Azerbaijan

    Mustafa Babanli

  6. Department of Mechatronics, Near East University, North Cyprus, Turkey

    Fahreddin M. Sadikoglu

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Akperov Imran, G., Lyudmila, S. (2022). Problems of Fuzzy – Multiple Control of the “Smart House” System (Review). In: Aliev, R.A., Kacprzyk, J., Pedrycz, W., Jamshidi, M., Babanli, M., Sadikoglu, F.M. (eds) 11th International Conference on Theory and Application of Soft Computing, Computing with Words and Perceptions and Artificial Intelligence - ICSCCW-2021. ICSCCW 2021. Lecture Notes in Networks and Systems, vol 362. Springer, Cham. https://doi.org/10.1007/978-3-030-92127-9_91

Download citation

Publish with us

Policies and ethics

Search

Navigation