METHOD FOR ESTIMATING THE TIME OF CONCENTRATION OF FORCES AND MEANS OF FIRE PROTECTION USING MODERN GEO-INFORMATION TECHNOLOGIES
Abstract and keywords
Abstract:
This paper describes a method for estimating the time of concentration of firefighting forces and means in urban areas using geographic information technologies (GIS) and shortest path search algorithms. Estimation of the time of arrival of the first firefighting unit to the place of call is one of the key tools for preliminary planning of firefighting operations. Using information about the expected time of arrival of fire units to certain objects, you can more reasonably predict the expected situation at the site of a possible fire and make appropriate management decisions. Using data on transportation infrastructure, traffic speeds and the most likely routes, the proposed method allows us to accurately calculate the time required for the arrival of fire units. The paper presents an algorithm consisting of the following steps: data collection, analysis of the urban transportation network, construction of optimal routes and visualization of the results. The work also includes the creation of an open repository with access to tools and techniques, which allows users to familiarize themselves with the proposed approach in depth and apply it in their research. This approach provides improved traffic flow management and overall safety in urban environments

Keywords:
fire department, geographic information technology, arrival time, route optimization, transportation network, data visualization, open repository
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References

1. Ob utverzhdenii Pravil ispol'zovaniya sredstv individual'noy zaschity organov dyhaniya i zreniya lichnym sostavom podrazdeleniy pozharnoy ohrany: Prikaz MChS Rossii ot 27.12.2022 g. N 640 // Konsul'tantPlyus: sayt. - URL: https://www.consultant.ru/document/cons _doc_LAW_434782/ (data obrascheniya 23.12.2024).

2. Malyutin O.S. i dr. Ocenka primenimosti biblioteki OSMnx dlya analiza parametrov pribytiya pozharnyh podrazdeleniy na primere stroyaschihsya stanciy metropolitena v Krasnoyarske // Monitoring, modelirovanie i prognozirovanie opasnyh prirodnyh yavleniy i chrezvychaynyh situaciy: Sbornik materialov Mezhdunarodnoy nauchno-prakticheskoy konferencii, Krasnoyarsk. - 2024.

3. Sokolov S.V., Sudakov E.A. Analiz i ocenka vremeni pribytiya pozharnyh podrazdeleniy k mestam vyzovov v Sankt-Peterburge v 2006-2015 gg // Tehnologii tehnosfernoy bezopasnosti. - 2016. - No 2(66). - S. 86-93. EDN: https://elibrary.ru/YGDJUR

4. Brushlinskiy N.N., Sokolov S.V. Matematicheskie metody i modeli upravleniya v Gosudarstvennoy protivopozharnoy sluzhbe: Uchebnik. Izdanie vtoroe, ispravlennoe i dopolnennoe. M: Akademiya GPS MChS Rossii. - 2019. - S. 194.

5. Alehin E.M. i dr. Reshenie problemy orgproektirovaniya ekstrennyh i avariyno-spasatel'nyh sluzhb v gorodah // Tehnologii tehnosfernoy bezopasnosti. - 2016. - No 3(67). S. 192-199. EDN: https://elibrary.ru/YKVJOV

6. Sokolov S.V., Brushlinskiy N.N., Fam K.H. Razrabotka i adaptaciya imitacionnoy sistemy operativnoy deyatel'nosti pozharnyh podrazdeleniy k usloviyam V'etnama // FE. - 2021. - No2. - S. 5-14.

7. Poroshin A.A. i dr. Avtomatizirovannaya sistema organizacionnogo proektirovaniya deyatel'nosti i resursnoy osnaschennosti operativnyh podrazdeleniy pozharnoy ohrany // M.:VNIIPO. - 2012. - S. 523-542.

8. Alehin E.M. i dr. Problemno-orientirovannye imitacionnye sistemy dlya avtomatizirovannogo proektirovaniya i strategicheskogo upravleniya ekstrennymi i avariyno-spasatel'nymi sluzhbami gorodov // Vestnik RAEN. - 2012. - No 3(12). - S. 27-34.

9. Buynevich M.V., Peleh M.T. Sovershenstvovanie marshrutov sledovaniya pozharno-spasatel'nyh podrazdeleniy k mestu vyzova. Kazan': OOO "Konvert". - 2019. - S. 86-88. EDN: https://elibrary.ru/JDBXAW

10. Malyutin O.S., Habibulin R.Sh. Analiz skorosti dvizheniya pozharnyh avtomobiley v zavisimosti ot naznacheniya dorog s ispol'zovaniem mashinnogo obucheniya // Sbornik materialov ezhegodnoy mezhdunarodnoy nauchno-tehnicheskoy konferencii "Sistemy bezopasnosti". - 30 noyabrya 2023 goda. - Moskva. - S. 44-50.

11. Izotova T.Yu. Obzor algoritmov poiska kratchayshego puti v grafe // Novye informacionnye tehnologii v avtomatizirovannyh sistemah. - 2016. - No19. - S. 341-344. EDN: https://elibrary.ru/VTZOVJ

12. Smolin I.Yu., Barabanschikov I.Yu. Optimizaciya poiska puti. Algoritmy nahozhdeniya kratchayshego puti // Colloquium-Journal. - 2020. - No 1-2(53). - S. 92-97. EDN: https://elibrary.ru/PZXYYN

13. Chris Garrard. Geoprocessing with Python. Shelter Island, NY: Manning Publication Co., 2016.

14. Berezin A.A. Obzor bibliotek Python dlya resheniya zadach obrabotki sputnikovyh dannyh // sbornik statey XIX Mezhdunarodnoy nauchno-prakticheskoy konferencii. V 2 ch., Penza, 05 iyunya 2024 goda. Penza: Nauka i Prosveschenie (IP Gulyaev G.Yu.), - 2024. - S. 123-125. EDN: https://elibrary.ru/SGAQZZ

15. Boeing G. OSMnx: New methods for acquiring, constructing, analyzing, and visualizing complex street networks // Computers, Environment and Urban Systems. - 2017. - No 65. - S. 126-139.

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