Algorithm for identifying the location of a potential indoor fire source, its characteristics, and the cause of fire
| Parent link: | Process Safety and Environmental Protection.— .— Amsterdam: Elsevier Science Publishing Company Inc. Vol. 208.— 2026.— Article number 108455, 19 p. |
|---|---|
| Altres autors: | , , , |
| Sumari: | Title screen Negative fire statistics highlight the need for improving fire safety monitoring systems in various types of rooms. Known approaches to fire detection rely on a multi-criteria analysis of data from fire detectors of different types. Adaptive automatic systems of fire safety monitoring are being actively developed and designed. However, existing systems are limited to detecting fire incidents at incipient stages without providing information on the fire location, size, and type of reacting material. The aim of the research was to identify the most efficient devices for locating an indoor fire in the early stages and identifying the type of pyrolyzing material, fire behavior and fire cause. The fire detector activation characteristics were obtained from the experimental research using a test chamber measuring 1 × 1.5 × 1.25 m equipped with CO, O2, and CO2 sensors, smoke and heat detectors, video recording tools, and a monitoring system for data collection and recording. Using the research findings, an algorithm was developed, and a flowchart was proposed for identifying the fire cause, type of combustible material, fire size and location. The obtained data can enhance fire protection systems and auxiliary information systems providing output data about fire behavior Текстовый файл AM_Agreement |
| Idioma: | anglès |
| Publicat: |
2026
|
| Matèries: | |
| Accés en línia: | https://doi.org/10.1016/j.psep.2026.108455 |
| Format: | Electrònic Capítol de llibre |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=684501 |
MARC
| LEADER | 00000naa0a2200000 4500 | ||
|---|---|---|---|
| 001 | 684501 | ||
| 005 | 20260127152932.0 | ||
| 090 | |a 684501 | ||
| 100 | |a 20260127d2026 k||y0rusy50 ba | ||
| 101 | 0 | |a eng | |
| 102 | |a NL | ||
| 135 | |a drcn ---uucaa | ||
| 181 | 0 | |a i |b e | |
| 182 | 0 | |a b | |
| 183 | 0 | |a cr |2 RDAcarrier | |
| 200 | 1 | |a Algorithm for identifying the location of a potential indoor fire source, its characteristics, and the cause of fire |f R. S. Volkov, G. V. Kuznetsov, P. A. Strizhak, S. S. Kropotova | |
| 203 | |a Текст |b визуальный |c электронный | ||
| 283 | |a online_resource |2 RDAcarrier | ||
| 300 | |a Title screen | ||
| 320 | |a References: 44 tit | ||
| 330 | |a Negative fire statistics highlight the need for improving fire safety monitoring systems in various types of rooms. Known approaches to fire detection rely on a multi-criteria analysis of data from fire detectors of different types. Adaptive automatic systems of fire safety monitoring are being actively developed and designed. However, existing systems are limited to detecting fire incidents at incipient stages without providing information on the fire location, size, and type of reacting material. The aim of the research was to identify the most efficient devices for locating an indoor fire in the early stages and identifying the type of pyrolyzing material, fire behavior and fire cause. The fire detector activation characteristics were obtained from the experimental research using a test chamber measuring 1 × 1.5 × 1.25 m equipped with CO, O2, and CO2 sensors, smoke and heat detectors, video recording tools, and a monitoring system for data collection and recording. Using the research findings, an algorithm was developed, and a flowchart was proposed for identifying the fire cause, type of combustible material, fire size and location. The obtained data can enhance fire protection systems and auxiliary information systems providing output data about fire behavior | ||
| 336 | |a Текстовый файл | ||
| 371 | 0 | |a AM_Agreement | |
| 461 | 1 | |t Process Safety and Environmental Protection |c Amsterdam |n Elsevier Science Publishing Company Inc. | |
| 463 | 1 | |t Vol. 208 |v Article number 108455, 19 p. |d 2026 | |
| 610 | 1 | |a электронный ресурс | |
| 610 | 1 | |a труды учёных ТПУ | |
| 610 | 1 | |a compartment fire | |
| 610 | 1 | |a sfire identification algorithm | |
| 610 | 1 | |a fire detectors | |
| 610 | 1 | |a concentration of pyrolysis products | |
| 610 | 1 | |a response times | |
| 701 | 1 | |a Volkov |b R. S. |c specialist in the field of power engineering |c Associate Professor of the Tomsk Polytechnic University, candidate of technical Sciences |f 1987- |g Roman Sergeevich |9 17499 | |
| 701 | 1 | |a Kuznetsov |b G. V. |c Specialist in the field of heat power energy |c Professor of Tomsk Polytechnic University, Doctor of Physical and Mathematical Sciences |f 1949- |g Geny Vladimirovich |9 15963 | |
| 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 | |
| 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 | |
| 801 | 0 | |a RU |b 63413507 |c 20260127 | |
| 850 | |a 63413507 | ||
| 856 | 4 | |u https://doi.org/10.1016/j.psep.2026.108455 |z https://doi.org/10.1016/j.psep.2026.108455 | |
| 942 | |c CF | ||