THERMAL SCIENCE

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Can Chen

CONTROL METHOD OF MECHANICAL SMOKE EMISSION IN HIGH-RISE BUILDING CORRIDOR

ABSTRACT
The traditional method has a large control error in the corridor mechanical smoke control method. Therefore, a multi-task convolutional neural network-based high-rise building corridor mechanical smoke control method is proposed. Through the mechanical smoke exhaust principle of high-rise building corridors, the threshold of mechanical smoke exhaust is set to predict the mechanical smoke exhaust volume of high-rise building corridors. The movement of mechanical smoke in high-rise building corridors is simulated according to fire dynamics simulator to determine the turbulence state of mechanical smoke in high-rise building corridors. Input the mechanical smoke exhaust data of high-rise building corridors into the multi-task convolutional neural network to complete the mechanical smoke exhaust control of high-rise building corridors. Experimental results show that the maximum accuracy of this method is about 98%, and the control time is always less than 1 second.
KEYWORDS
high-rise buildings, mechanical flue gas emission, fire dynamics simulator simulation, turbulent regime multi-task convolutional neural networks
PAPER SUBMITTED: 2021-01-04
PAPER REVISED: 2021-07-10
PAPER ACCEPTED: 2021-07-12
PUBLISHED ONLINE: 2021-10-17
DOI REFERENCE: https://doi.org/10.2298/TSCI2106099C
CITATION EXPORT: view in browser or download as text file
THERMAL SCIENCE YEAR 2021, VOLUME 25, ISSUE Issue 6, PAGES [4099 - 4106]
REFERENCES
  1. Chen, H. Z., Emission Characteristics of Air Pollutants From Marine Auxiliaries Under ECA Policy, Acta Scientiae Circumstantiae, 40 (2020), 6, pp. 1943-1950.
  2. Azarov, V. N., Consideration of the Effect of Flue Gas Emissions Into the Atmosphere when Selecting Construction Sites, IOP Conference Series: Materials Science and Engineering, 698 (2019), 7, pp. 77-80
  3. Harry-Ngei, N., A Review of the Scrubber as a Tool for the Control of Flue Gas Emissions in a Combus-tion System, European Journal of Engineering Research and Science, 4 (2019), 11, pp. 1-4
  4. Zhu, Y., Smoke Exhausting Efficiency from Corridor of High-Rise Building vs. Coupled Factors (in Chinese), China Safety Science Journal, 29 (2019), 2, pp. 76-81
  5. Zhang, C., Combined Effects of Outdoor Wind and Mechanical Smoke Exhaust on Smoke Thermal Stratification in Corridor (in Chinese), Fire Science and Technology, 38 (2019), 10, pp. 1406-1411
  6. Doynska, M., The Utilization of Plum Stones for Pellet Production and Investigation of Post-Combustion Flue Gas Emissions, Energies, 13 (2020), 19, pp. 5107-5110
  7. Niederwieser, H., Model-Based Estimation of the Flue Gas Mass Flow in Biomass Boilers, IEEE Trans-actions on Control Systems Technology, 1 (2020), 99, pp.1-14
  8. Li, H. W., Numerical Simulation of the Influence of Flue Gas Discharge Patterns on a Natural Draft Wet Cooling Tower with Flue Gas Injection, Applied Thermal Engineering, 161 (2019), 14, pp. 10-15
  9. Aslam, A., Heavy Metal Bioremediation of Coal-Fired Flue Gas Using Microalgae Under Different CO2 Concentrations, Journal of Environmental Management, 241 (2019), 1, pp. 243-250
  10. Wang, L., Investigation on Regenerative Heat Exchanger with Novel Low-Leakage System for Flue Gas Denitration in Steel Industry, Applied Thermal Engineering, 178 (2020), 12, pp. 15-21
  11. Liu, D., Photocatalytic Oxidation Removal of Elemental Mercury from Flue Gas. A Review, Environ-mental Chemistry Letters, 18 (2020), 14, pp. 417-431
  12. Zhang, H., A Review on Adsorbent/Catalyst Application for Mercury Removal in Flue Gas: Effect of Sulphur Oxides (SO2, SO3), Journal of Cleaner Production, 276 (2020), 1, pp. 24-31
  13. Wang, K., et al., Numerical Simulation of Fire Smoke Control Methods in Subway Stations and Collab-orative Control System for Emergency Rescue, Process Safety and Environmental Protection, 147 (2021), Mar., pp. 146-161
  14. Cheng, J., et al., Model Tests of Fire Smoke Control Effects in Highway Tunnels, Gradevinar, 72 (2020), 9, pp. 781-792
  15. Youn, H. K., Kim, H. J., Optimal Measures for Smoke Control Performance for an Underground Parking Lot, Korean Society of Hazard Mitigation, 20 (2020), 1, pp. 251-256
  16. Tian, X., et al., Study on Design Optimization of Fire Smoke Control Modes for Subway Transfer Channel With Ceiling Beams, Proceedings, Heat Transfer Summer Conference Collocated with the Flu-ids Engineering Division Summer Meeting, and the 18th International Conference on Nanochannels, Mi-crochannels, and Minichannels, Virtual, On-line, 2020
  17. Hopkin, D. J., et al., Scoping Study on the Significance of Mesh Resolution vs. Scenario Uncertainty in the CFD Modelling of Residential Smoke Control Systems, Proceedings, Interflam, The University of Manchester, Manchester, UK, 2019
  18. Wang, C., et al., Free Acceleration Smoke Control Method of Non-Road Mobile Machinary. IOP Con-ference Series Earth and Environmental Science, 252 (2019), 01, pp. 57-69
  19. Song, D., et al., Assessment of Smoke Control Performance via. Fire Simulations and Hot Smoke Tests. Journal of Engineering and Applied Sciences, 14 (2019), 11, pp. 3588-3594
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Control method of mechanical smoke emission in high-rise building corridor

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