Skip to main content
SpringerLink
Log in

A Simulation Modeling Method for Cooling Building Structures by Fire Robots

  • Conference paper
  • First Online:
Artificial Intelligence Trends in Systems (CSOC 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 502))

Included in the following conference series:

Abstract

The research proposes a method for simulating the cooling of building structures during a fire by a jet of water supplied by a fire robot according to a given algorithm, using a Python script developed as part of the conducted research. A functional model for modeling fire dynamics in rooms with structures protected by fire robots is presented. An algorithm for generating Fire Dynamics Simulator code simulating the motion of a cooling agent jet in the Pyrosim software environment is developed. The results of the simulation of building truss cooling during a fire in a thermal power plant building are presented #CSOC1120.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
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

References

  1. Pozharkova, I.: Construction metal structures simulation cooling by fire robots. In: AIP Conference Proceedings, vol. 2402, p. 050021 (2021). https://doi.org/10.1063/5.0071434

  2. Zenyutkin, N.V., Kovalev, D.I., Tuev, E.V., Tueva, E.V.: On the ways of forming information structures for modeling objects, environments and processes. Mod. Innov. Syst. Technol. 1(1), 10–22 (2021). https://doi.org/10.47813/2782-2818-2021-1-1-10-22

  3. Mun, S.Y., Hwang, C.H., Park, J.S., Do, K.: Validation of FDS for predicting the fire characteristics in the multi-compartments of nuclear power plant (Part I: Over-ventilated fire condition). Fire Sci. Eng. 27(2), 31–39 (2013)

    Article  Google Scholar 

  4. Jones, R.T., Erwee, M.W.: Simulation of ferroalloy smelting in DC arc furnaces using Pyrosim and FactSage. Calphad 55, 20–25 (2016)

    Article  Google Scholar 

  5. Domakhin, E.A., Spopov, N., Vilberger, M.E., Anibroev, V.I., Singizin, I.I.: Comparative analysis and experimental verification of simulation modelling approach in MATLAB-Simulink and SimInTech. In: Journal of Physics: Conference Series, vol. 1661, no. 1, p. 012030 (2020)

    Google Scholar 

  6. Pozharkova, I.: Modelling the water jet trajectory of a robotic fire monitor in the SimInTech dynamic modelling environment. In: Silhavy, R., Silhavy, P., Prokopova, Z. (eds.) CoMeSySo 2020. AISC, vol. 1295, pp. 837–844. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-63319-6_77

    Chapter  Google Scholar 

  7. Vogelsang, J.: Python+ FDS: Vorstellung des FDSReader-packages zum Einlesen von FDS-Simulationsdaten in Python. Zivile Sicherheitsforschung (2021)

    Google Scholar 

  8. Ryder, N.L., Sutula, J.A., Schemel, C.F., Hamer, A.J., Van Brunt, V.: Consequence modeling using the fire dynamics simulator. J. Hazard. Mater. 115(1–3), 149–154 (2004)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. FSBEE HE Siberian Fire and Rescue Academy EMERCOM of Russia, 1, Severnaya St., Zheleznogorsk, Russia

    Irina Pozharkova

  2. University of Central Asia, Naryn, Kyrgyz Republic

    Ayman Aljarbouh

  3. Universiti Sultan Zainal Abidin, Kuala Terengganu, Terengganu, Malaysia

    Shahzool Hazimin Azizam

  4. Ton Duc Thang University, Ho Chi Minh City, 70000, Vietnam

    Aly Pasha Mohamed

  5. Australian Computer Society, 839, Collins Street, Docklands, 3008, Australia

    Fazle Rabbi

  6. International Academy of Science and Technologies, Moscow, Russia

    Roman Tsarev

  7. Siberian Federal University, Krasnoyarsk, Russia

    Roman Tsarev

Authors
  1. Irina Pozharkova
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Ayman Aljarbouh
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Shahzool Hazimin Azizam
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Aly Pasha Mohamed
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Fazle Rabbi
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Roman Tsarev
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Irina Pozharkova .

Editor information

Editors and Affiliations

  1. Faculty of Applied Informatics, Tomas Bata University in Zlin, Zlin, Czech Republic

    Radek Silhavy

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

Pozharkova, I., Aljarbouh, A., Azizam, S.H., Mohamed, A.P., Rabbi, F., Tsarev, R. (2022). A Simulation Modeling Method for Cooling Building Structures by Fire Robots. In: Silhavy, R. (eds) Artificial Intelligence Trends in Systems. CSOC 2022. Lecture Notes in Networks and Systems, vol 502. Springer, Cham. https://doi.org/10.1007/978-3-031-09076-9_45

Download citation

Publish with us

Policies and ethics

Search

Navigation