Comparison of Integrated Rescue System Software Tools Used to Support the Implementation and Creation of Exercises
Abstract
:1. Introduction
- Fire and Rescue Service of the Czech Republic;
- Fire protection units included in the area coverage of the region;
- Czech Republic Police;
- Providers of emergency medical services.
- Dedicated forces and resources of the armed forces;
- Municipal police;
- Public health authorities;
- Emergency, professional, and other services;
- Civil protection equipment;
- Non-profit organizations and citizen associations that can be used for rescue and liquidation work.
- Preparatory;
- Implementation;
- Evaluation.
2. Materials and Methods
3. Results
3.1. Preparatory Phase
- Blue line—shock wave overpressure (kPa);
- Red line—shrapnel hazard;
- Green line—Threat to persons outside the building;
- Brown line—building damage.
3.2. Implementation Phase
3.3. Evaluation Phase
- Receiving an alert, announcing a fire alarm, and leaving;
- Assessment of the technique used;
- Intervention organization and management;
- Deployment and use of fire equipment;
- Supplying deployed forces and resources with water and other materials;
- Passability of roads and logistics areas;
- Communication;
- Compliance with regulations on occupational safety and health protection;
- Discipline in intervention [23].
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- Czechia. Act No. 239 of 28 June 2000 on the Integrated Rescue System; Amount 73; Collection of Laws of the Czech Republic: Prague, Czech Republic, 2000.
- Vichova, K.; Hromada, M. Assessment of emergency supply of healthcare facilities as a module of the crisis management information system. MATEC Web Conf. 2018, 210, 02026. [Google Scholar] [CrossRef]
- Collective of authors. Module–G: Integrated Rescue System and Fire Protection; Ministry of the Interior: Prague, Czech Republic, 2020; ISBN 978-80-7616-071-2.
- Haddow, G.D.; Bullock, J.A.; Coppola, D.P. Introduction to Emergency Management; Butterworth-Heinemann: Oxford, UK, 2020; ISBN 978-0-12-817139-4. [Google Scholar]
- Yusufalievich, M.S.; Maripjon, O.; Xakimov, O. Natural Emergency Situations and Protection of the Population from their Effects. Cent. Asian J. Theor. Appl. Sci. 2022, 3, 379–383. [Google Scholar]
- Firefighters Documentation. Fire and Rescue Service of the Czech Republic: Prague, Czech Republic. 2022. Available online: https://www.hzscr.cz/clanek/dokumentace-izs-587832.aspx?q=Y2hudW09NQ%3D%3D (accessed on 15 July 2022).
- LI, F. Intelligent Science Empowers: Building Fire Protection Technology Development. In Handbook of Cognitive and Autonomous Systems for Fire Resilient Infrastructures; Springer: Cham, Switzerland, 2022; pp. 93–116. [Google Scholar]
- Benda, L.; Kopecký, Z.; Pulpan, P. Basis for Improving Information Support of Crisis Managers’ Decision Making. In Proceedings of the 7th Scientific International Conference on Crisis Management: Environmental Protection of Population, Brno, Czech Republic, 13–14 June 2012; ISBN 978-80-86710-61-7. [Google Scholar]
- Stanek, S.; Drosio, S. Intelligent computer support for crisis management. Intell. Decis. Technol. 2013, 8, 53–63. [Google Scholar] [CrossRef]
- Çakıroğlu, Ü.; Seyfullah, G. Development of fire safety behavioral skills via virtual reality. Comput. Educ. 2019, 133, 56–68. [Google Scholar] [CrossRef]
- Guo, Y.; Zhu, J.; Wang, Y.; Chai, J.; Li, W.; Fu, L.; Xu, B.; Gong, Y. A Virtual Reality Simulation Method for Crowd Evacuation in a Multiexit Indoor Fire Environment. ISPRS Int. J. Geo Inf. 2020, 9, 750. [Google Scholar] [CrossRef]
- Xu, L.; Huang, K.; Liu, J.; Dongsheng Li, Y.; Chen, F. Intelligent planning of fire evacuation routes using an improved ant colony optimization algorithm. J. Build. Eng. 2022, 61, 105208. [Google Scholar] [CrossRef]
- Yu, X.; Yu, P.; Wang, C.; Wang, D.; Shi, W.; Shou, W.; Wang, J.; Wang, X. Integrating Virtual Reality and Building Information Modeling for Improving Highway Tunnel Emergency Response Training. Buildings 2022, 12, 1523. [Google Scholar] [CrossRef]
- Czech Republic. Population Protection Concept until 2025 with a View to 2030; MV-GŘHZS ČR: Prague, Czech Republic, 2020.
- Grabowski, A.; Jach, K. The use of virtual reality in the training of professionals: With the example of firefighters. Comput. Animat. Virtual Worlds 2020, 32, e1981. [Google Scholar] [CrossRef]
- Bartošíková, R.; Bilíková, J.; Strohmandl, J.; Šefčík, V.; Taraba, P. Modelling of decision-making in crisis management. In Proceedings of the 24th International Business Information Management Association Conference-Crafting Global Competitive Economies: 2020 Vision Strategic Planning and Smart Implementation, Milan, Italy, 6–7 November 2014; pp. 1479–1483, ISBN 978-098604193-8. [Google Scholar]
- Qin, J.; Liu, C.; Huang, Q. Simulation on fire emergency evacuation in special subway station based on Pathfinder. Case Stud. Therm. Eng. 2020, 21, 100677. [Google Scholar] [CrossRef]
- Mach, V.; Valouch, J.; Adamek, M.; Sevcik, J. Virtual reality—Level of immersion within the crime investigation. MATEC Web Conf. 2019, 292, 01031. [Google Scholar] [CrossRef]
- Levin, T.; Chessum, S.; Mullins, J.; Yoshihashi, N.; Hayashi, K. Ensuring Greater Safety for our Firefighters and Our Communities: Integrating FLAIM Trainer TM and hitoe TM. NTT Tech. Rev. 2019, 17, 24–31. [Google Scholar]
- Doerner, R.; Broll, W.; Grimm, P.; Jung, B. Virtual and Augmented Reality (VR/AR) Foundations and Methods of Extended Realities (XR); Springer: Freiberg, Germany, 2022. [Google Scholar] [CrossRef]
- Zhang, L.; He, W.; Liu, Y.; Zou, Q.; Bai, H.; Billinghurst, M. ARinVR: Bringing Mobile AR into VR. In Proceedings of the Computer Graphics and Interactive Techniques Conference, Virtual, 9–13 August 2021; p. 2. [Google Scholar] [CrossRef]
- ARCore Supported Devices. Google. 2022. Available online: https://developers.google.com/ar/devices (accessed on 15 July 2022).
- Czech Republic. Instruction of the Director General of the Fire and Rescue Service of the Czech Republic of 3 February 2009: Laying down the Procedure for the Preparation and Conduct of Screening and TACTICAL exercises; Fire and Rescue Service of the Czech Republic: Prague, Czech Republic, 2009.
- Benvegnù, G.; Furlan, M.; Orso, V.; Gamberini, L. The Role of Virtual Spaces and Interactivity in Emergency Training. In Proceedings of the European Conference on Cognitive Ergonomics 2021 (ECCE 2021), Siena, Italy, 26–29 April 2021; Volume 5, pp. 1–5. [Google Scholar] [CrossRef]
- Arias, S.; Wahlqvist, J.; Nilsson, D.; Ronchi, E.; Frantzich, H. Pursuing behavioral realism in Virtual Reality for fire evacuation research. Fire Mater. 2020, 45, 462–472. [Google Scholar] [CrossRef]
- Popov, O.; Kyrylenko, Y.; Kameneva, I.; Iatsyshyn, A.; Andrii, I.; Kovach, V.; Artemchuk, V.; Bliznyuk, V.; Kiv, A. The use of specialized software for liquid radioactive material spills simulation to teach students and postgraduate students. CTE Workshop Proceedings. 2022, 3085, 306–322. [Google Scholar] [CrossRef]
- Lorusso, P.; De Iuliis, M.; Marasco, S.; Domaneschi, M.; Cimellaro, G.P.; Villa, V. Fire Emergency Evacuation from a School Building Using an Evolutionary Virtual Reality Platform. Buildings 2022, 12, 223. [Google Scholar] [CrossRef]
- Yang, L.; Liang, Y.; Wu, D.; Gault, J. Train and Equip Firefighters with Cognitive Virtual and Augmented Reality. In Proceedings of the IEEE 4th International Conference on Collaboration and Internet Computing (CIC), Philadelphia, PA, USA, 18–20 October 2018; pp. 453–459. [Google Scholar] [CrossRef]
- Catal, C.; Akbulut, A.; Tunali, B.; Ulug, E.; Ozturk, E. Evaluation of augmented reality technology for the design of an evacuation training game. Virtual Real. 2020, 24, 359–368. [Google Scholar] [CrossRef] [Green Version]
Function | PRACTICE | TerEx | Pathfinder |
---|---|---|---|
Affordability | Unspecified | Unspecified | $ 2250–3375 |
Time intervals | Yes | No | Yes |
Programme training intervals | Individual | Individual | Individual |
Graphic display | Yes | Yes | Yes |
Event schedule | Yes | No | No |
Map materials | No | Yes | No |
Mobile device | No | No | No |
Possibility to run on a web portal | Yes | Yes | No |
Possibility to insert documents | Yes | No | No |
The demand of programme operation | Medium | Low | High |
Creating scenarios | Yes | No | No |
Demarcation of participants | Yes | No | Yes |
Manufacturer | Device Model | Technology |
---|---|---|
Asus | Zenfone 8 | Supports Depth API |
Pixel 6 | Supports 60 fps camera capture frame rate on the rearfacing camera; Supports multiple GPU texture resolutions—1080p, 720p, 480p; Supports Depth API | |
Huawei | Mate 20 | Supports Depth API |
Huawei | P20 | Supports multiple GPU texture resolutions—1440 × 1880; 1280 × 960; 480p; Supports Depth API |
LG | Style2 | ARCore uses the wide-angle fixed focus rear-facing camera for AR tracking |
Motorola | Edge 20 | Supports Depth API |
Realme | GT Neo | Supports Depth API |
Samsung | Galaxy Note 10 | Supports multiple GPU texture resolutions—1080p, 720p, 480p; Supports Depth API |
Sony | Xperia 5 | Supports Depth API |
Xiaomi | Poco X3 Pro | Supports Depth API |
Device | Generation |
---|---|
iPod | 7th generation |
iPad | 5th generation |
iPad | Air 3rd generation |
iPhone | SE |
iPhone | 6S and 6S Plus |
iPhone | Pro Max |
Level of Analysis | Methods | Outcomes | Managerial Insights |
---|---|---|---|
Preparatory Level | Research Complexity Theory Reliability Theory/Statistical Planning Analysis | Analysis of scientific publications Study of legislative documents Set work procedure Cooperation with external entities Use of special software | Identification of insufficient professional resources Out-of-date legislation that does not support modern trends Obstacles on the part of the supplier of software tools Insufficient capacity for complex software tools |
Implementation Level | Optimization Programming Testing Technology knowledge | Announcement of a simulated emergency Testing software tools Possibility of usage VR and AR Comparison of equipment for realization | Analysis of contingency preparedness plans Collision of tested tools Availability of modern technologies in IRS Ending support of mobile devices |
Evaluation Level | Optimal Control Software tools Simulation | Collection of evaluation reports Creation of team for results evaluation Comparison of the simulation Evaluation by an authorized person | Loss or incompleteness of supporting documents Inexpertness Reservations about the model situation and the course of the trained emergency The unpredictability of real conditions and situations |
Authors and Publication Year | Title | Journal | Central Focus | Method(s) | Outcomes |
---|---|---|---|---|---|
Yusufalievich, M. S. et al. (2022) [5] | Natural Emergency Situations and Protection of the Population from their Effects | Central Asian Journal of Theoretical & Applied Sciences | Education, news, and procedures in the field of emergency and civil protection | Explanation, analysis | Modern teaching methods, interactive methods, and new pedagogical technologies in higher education |
Li, F. (2022) [7] | Intelligent Science Empowers: Building Fire Protection Technology Development | Handbook of Cognitive and Autonomous Systems for Fire Resilient Infrastructures | Building intelligent systems of fire detection and response, robots, evacuation | Simulation, analysis, observation, mapping, modelling | Proposal to improve fire protection, use of modern technologies in fire detection/evacuation |
Yu, X. et al. (2022) [13] | Integrating Virtual Reality and Building Information Modeling for Improving Highway Tunnel Emergency Response Training | Buildings | Integrating BIM and VR, fire evacuation training | BIM, simulation, modelling | Simulation training platform to enhance the skills and optimize the existing plans for handling emergency response |
Doerner, R. et al. (2022) [20] | Virtual and Augmented Reality (VR/AR) Foundations and Methods of Extended Realities (XR) | Springer | Basic principles of use and description of VR and AR | Explanation, analysis, modelling, simulation | Introducing the reader of the book to the basic knowledge of virtual and augmented reality |
Xu, L. et al. (2022) [12] | Intelligent planning of fire evacuation routes using an improved ant colony optimization algorithm | Journal of Building Engineering | Proposal of the optimal algorithm of evacuation routes (IACO) | Modelling, simulation, algorithmization | Design of optimal evacuation routes, simulated in selected SW tools |
Vichova, K. et al. (2018) [2] | Assessment of emergency supply of healthcare facilities as a module of the crisis management information system | MATEC Web of Conferences | Evaluation of crisis preparedness | Analysis, induction, comparison, heuristic analysis of preparedness | Creation of a module to assess the emergency preparedness of health establishments |
Qin, J. et al. (2020) [17] | Simulation on fire emergency evacuation in special subway station based on Pathfinder | Case Studies in Thermal Engineering | Creating an evacuation simulation in a special metro station | Analysis, spatial modelling, simulation | Proposal to relieve the pressure of people during evacuation on subway station staircases |
Popov, O. O. et al. (2022) [26] | The use of specialized software for liquid radioactive material spills simulation to teach students and postgraduate students | CTE Workshop Proceedings | Relevance of using specialized software to solve problems of emergency prevention | Modelling, use of specialized software, mathematical modeling | Modelling of physical properties of radioactive liquid leakage and transport of radioactive substances in emergency areas |
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Dzermansky, M.; Ficek, M.; Snopek, L. Comparison of Integrated Rescue System Software Tools Used to Support the Implementation and Creation of Exercises. Appl. Sci. 2022, 12, 10509. https://doi.org/10.3390/app122010509
Dzermansky M, Ficek M, Snopek L. Comparison of Integrated Rescue System Software Tools Used to Support the Implementation and Creation of Exercises. Applied Sciences. 2022; 12(20):10509. https://doi.org/10.3390/app122010509
Chicago/Turabian StyleDzermansky, Martin, Martin Ficek, and Lukas Snopek. 2022. "Comparison of Integrated Rescue System Software Tools Used to Support the Implementation and Creation of Exercises" Applied Sciences 12, no. 20: 10509. https://doi.org/10.3390/app122010509
APA StyleDzermansky, M., Ficek, M., & Snopek, L. (2022). Comparison of Integrated Rescue System Software Tools Used to Support the Implementation and Creation of Exercises. Applied Sciences, 12(20), 10509. https://doi.org/10.3390/app122010509