UDC 355.588
The article presents the developed model and algorithm and the results of experiments in conditions of natural and artificial smoke based on an augmented reality helmet during search and rescue operations. The main goal is to reduce the time required to conduct a PSR using a management decision support model and algorithm based on SDR in a smoky environment under fire conditions. To achieve this goal, tasks are being solved in the work, including conducting a series of experiments, developing a PDP algorithm for conducting SDR based on SDR in the conditions of fire and the creation of a PPD model during the implementation of the SDR based on in a smoky environment under fire conditions. Research methods include experimental methods, modeling, and statistical analysis. The results of the statistical analysis confirmed the significance of these improvements. The use of the SDR-based PPD algorithm when conducting CPR in a smoky environment under fire conditions made it possible to reduce the time of CPR by 39-47% in a subway car and train, which was confirmed by statistical analysis (p <0.0001)
model', algoritm, poiskovo-spasatel'nye raboty, zadymlennaya sreda, pozhar, podderzhka prinyatiya resheniy
1. Malfi H.A.M.N., Mokshancev A.V., Iftodi L.A., Hachirov A.V. O primenenii shlema dopolnennoy real'nosti pri provedenii poiskovo-spasatel'nyh rabot // Tehnologii tehnosfernoy bezopasnosti. 2024. Vyp. 2 (104). S. 40-54. DOI:https://doi.org/10.25257/TTS.2024.2.104.40-54 EDN: https://elibrary.ru/QKJGXS
2. Mokshancev A.V., Malfi H.A.M.N. Shlem dopolnennoy real'nosti pri provedenii poiskovo-spasatel'nyh rabot // Akademiya Gosudarstvennoy protivopozharnoy sluzhby MChS Rossii: Teoriya. Innovacii. Praktika: materialy nauchno-prakticheskoy konferencii s mezhdunarodnym uchastiem, posvyaschennoy 90-letiyu so dnya obrazovaniya Akademii GPS MChS Rossii: M.: Akademiya GPS MChS Rossii, 2023. S. 108-111. ISBN: 978-5-9229-0290-8
3. Mokshancev A.V., Malfi H.A.M.N.O primenenii modulya sistemy radiolokacionnyh signalov pri provedenii poiskovo-spasatel'nyh rabot // Pozhary i chrezvychaynye situacii: preduprezhdenie, likvidaciya. 2022. No 4. S. 13-22. DOI:https://doi.org/10.25257/FE.2022.4.13-22
4. Malfi H.A.M.N., Mokshancev A.V. Process provedeniya poiskovo-spasatel'nyh rabot na territorii Yemena // Molodye uchenye v reshenii aktual'nyh problem bezopasnosti: Sbornik materialov XI Vserossiyskoy nauchno-prakticheskoy konferencii. Zheleznogorsk: Sibirskaya pozharno-spasatel'naya akademiya GPS MChS Rossii, 2022. S. 79-82.
5. Mokshancev A.V., Malfi H.A.M.N. Universal'nyy modul' obrabotki radiolokacionnoy informacii pri provedenii poiskovo-spasatel'nyh rabot // Pozhary i chrezvychaynye situacii: preduprezhdenie, likvidaciya. 2023. No 2. S. DOI:https://doi.org/10.25257/FE.2023.2
6. Heydarian A., Carneiro J.P., Gerber D., Becerik-Gerber B., Hayes T., Wood W. Immersive virtual environments versus physical built environments: A benchmarking study for building design and user-built environment explorations // Automation in Construction. 2015. Vol. 54, Pp. 116-126. DOI:https://doi.org/10.1016/j.autcon.2015.03.020
7. Niu S., Pan W., Zhao Y. A virtual reality integrated design approach to improving occupancy information integrity for closing the building energy performance gap // Sustainable Cities and Society. 2016. Vol. 27. Pp. 275-286. DOI:https://doi.org/10.1016/j.scs.2016.03.010 EDN: https://elibrary.ru/XTESTL
8. Lovreglio R., Gonzalez V., Feng Z., Amor R., Spearpoint M., Thomas J., Trotter M., Sacks R. Prototyping virtual reality serious games for building earthquake preparedness: The Auckland City Hospital case study // Advanced Engineering Informatics. 2018. Vol. 38. Pp. 670-682. DOI:https://doi.org/10.1016/j.aei.2018.08.018
9. Kinateder M., Warren W. H., Schloss K. B. What color are emergency exit signs? Egress behavior differs from verbal report // Applied Ergonomics. 2019. Vol. 75. Pp. 155-160. DOI:https://doi.org/10.1016/j.apergo.2018.08.010
10. Muthalif M. Z. A., Shojaei D., Khoshelham K. A review of augmented reality visualization methods for subsurface utilities // Advanced Engineering Informatics. 2022. Vol. 51. P. 101498. DOI:https://doi.org/10.1016/j.aei.2021.101498 EDN: https://elibrary.ru/JUNGXN
11. Chung S., Cho C.-S., Song J., Lee K., Lee S., Kwon S. Smart Facility Management System Based on Open BIM and Augmented Reality Technology // Applied Sciences. 2021, Vol. 11 (21). P. 10283. DOI:https://doi.org/10.3390/app112110283 EDN: https://elibrary.ru/GHFAFH
12. Alonso-Rosa M., Gil-de-Castro A., Moreno-Munoz A., Garrido-Zafra J., Gutierrez-Ballesteros E., Cañete-Carmona E. An IoT Based Mobile Augmented Reality Application for Energy Visualization in Buildings Environments // Applied Sciences. 2020. Vol. 10 (2). P. 600;. DOI:https://doi.org/10.3390/app10020600 EDN: https://elibrary.ru/KHKEHR
13. Nagibin Yu. T. Metody statisticheskoy obrabotki eksperimental'nyh dannyh v optoelektronike. Regressionnyy i korrelyacionnyy analiz: ucheb. pos. SPb: Sankt-peterburgskiy gosudarstvennyy universitet informacionnyh tehnologiy, mehaniki i optiki, 2011. 53 s. https://books.ifmo.ru/file/pdf/807.pdf. EDN: https://elibrary.ru/ZUZCPH
14. Diez, D. M., Barr, C. D., & Çetinkaya-Rundel, M. (2019). OpenIntro Statistics (4th ed.). OpenIntro. (https://www.biostat.jhsph.edu/~iruczins/teaching/books/2019.openintro.statistics.pdf).
