A System for Adaptive Suppressing the Ignition of Materials and Substances; Journal of Engineering Physics and Thermophysics; Vol. 97, iss. 7
| Parent link: | Journal of Engineering Physics and Thermophysics.— .— New York: Springer Science+Business Media LLC. Vol. 97, iss. 7.— 2024.— P. 1760-1769 |
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| מחבר ראשי: | |
| מחברים אחרים: | , |
| סיכום: | By using a model room, the conditions are reproduced for the functioning of the system of early identification of ignition originated due to the statistically most typical causes and its effective suppression are represented due to the timely and reliable information on the type of fire source, its size and position, and on pyrolyzing material and its mass. The response characteristics of different types of fire detectors are recorded. Specialized software has been developed that allows accumulating statistics on the response of various types of sensors in a model room, analyzing statistical data and issuing recommendations for the fire safety system operator. Statistical data are used by a neural network to determine the type of combustible material, its mass, material heating mechanism, and the volume of extinguishing agent necessary and sufficient to localize and suppress combustion of the material. The proposed adaptive approach to fire extinguishing allows one to significantly reduce the amount of water required to suppress the fire source and the time of its extinguishing Текстовый файл AM_Agreement |
| שפה: | אנגלית |
| יצא לאור: |
2024
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| נושאים: | |
| גישה מקוונת: | https://doi.org/10.1007/s10891-024-03056-0 |
| פורמט: | אלקטרוני Book Chapter |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=683224 |
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| 200 | 1 | |a A System for Adaptive Suppressing the Ignition of Materials and Substances |f M. I. Glotov, S. S. Kropotova, P. A. Strizhak | |
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| 330 | |a By using a model room, the conditions are reproduced for the functioning of the system of early identification of ignition originated due to the statistically most typical causes and its effective suppression are represented due to the timely and reliable information on the type of fire source, its size and position, and on pyrolyzing material and its mass. The response characteristics of different types of fire detectors are recorded. Specialized software has been developed that allows accumulating statistics on the response of various types of sensors in a model room, analyzing statistical data and issuing recommendations for the fire safety system operator. Statistical data are used by a neural network to determine the type of combustible material, its mass, material heating mechanism, and the volume of extinguishing agent necessary and sufficient to localize and suppress combustion of the material. The proposed adaptive approach to fire extinguishing allows one to significantly reduce the amount of water required to suppress the fire source and the time of its extinguishing | ||
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| 610 | 1 | |a low-inertia identification | |
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| 700 | 1 | |a Glotov |b M. I. |g Maksim Ivanovich |f 1999- |c specialist in the field of thermal power engineering and heat engineering |c programmer of Tomsk Polytechnic University |y Tomsk |7 ba |8 eng |9 89045 | |
| 701 | 1 | |a Kropotova |b S. S. |c specialist in the field of heat power engineering and heat engineering |c Research Engineer of Tomsk Polytechnic University |f 1996- |g Svetlana Sergeevna |9 22475 | |
| 701 | 1 | |a Strizhak |b P. A. |c Specialist in the field of heat power energy |c Doctor of Physical and Mathematical Sciences (DSc), Professor of Tomsk Polytechnic University (TPU) |f 1985- |g Pavel Alexandrovich |9 15117 | |
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