An IT Tool to Support Anti-crisis Training in WAZkA System: A Case Study
In the paper, the authors presented the concept and elements of implementation of the subsystem to support the training process of operators of the anti-crisis system. It was made in the form of emulators of hazard monitoring systems for the needs of an IT system supporting the analysis of threats in the form of CBRN (Chemical, Biological, Radiation, Nuclear) contamination, forecasting their effects and alerting the population (WAZkA).
The genesis of building the emulator subsystem is the need to provide a tool to support the training process of people involved in the activities of the National System of Detection of Contamination and Alarming (KSWSiA) in Poland. However, the emulators designed in this way can also be used as a tool to support the development of emergency procedures.
Emulators were proposed as IT tools. A constructive simulation was chosen as the emulation method, but reduced to a simple, determined data delivery in accordance with the previously prepared scenario.
KeywordsEmulators Support of anti-crisis training Software development WAZkA system
This work was partially supported by grant Noo DOB-BIO7/12/01/2015 of Polish National Center for Research and Development (NCBiR) titled “Integration and support of information management processes and decision optimization in warning and alarm system”  and Statutory Research Work of Institute of Computer and Information Systems, Cybernetics Faculty, Military University of Technology in Warsaw, Poland.
- 1.Binek, T., Czepiel, J.: The national system of contamination detection and alarm. Curr. Oper. Pol. BiTP 36(4), 15–24 (2014)Google Scholar
- 4.Grabowski, D., Kurowski, W., Muszynski, W., Rubel, B., Smagala, G., Swietochowska, J.: Radiation monitoring network in Poland. Nukleonika 46(4), 147–149 (2001)Google Scholar
- 7.Lipiński, P., Isajenko, K., Biernacka, M., Żak, A.: Integration of polish monitoring networks (ASS-500 and PMS systems). Nukleonika 46(4), 143–146 (2001)Google Scholar
- 8.Manatakis, D., Nennes, M., Bakas, I., Manolakos, E.: Simulation-driven emulation of collaborative algorithms to assess their requirements for a large-scale WSN implementation. In: Proceedings of the 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE Explore (2014)Google Scholar
- 9.Tarapata, Z.: Models and algorithms for knowledge-based decision support and simulation in defense and transport applications. Military University of Technology, Warsaw (2011)Google Scholar
- 10.Tarapata, Z., Antkiewicz, R., Chmielewski, M., Dyk, M., Kasprzyk, R., Kulas, W., Najgebauer, A., Pierzchała, D., Rulka, J.: A computer system for CBRN contamination threats analysis support, prediction their effects and alarming the population: polish case study. MATEC Web Conf. 125, 02012 (2017). https://doi.org/10.1051/matecconf/201712502012CrossRefGoogle Scholar
- 11.Waszkowski, R., Nowicki, T., Saniuk, A.: Human-computer interaction in sanitary inspection simulation exercises. In: Soares, M., Falcão, C., Ahram, T. (eds.) Advances in Ergonomics Modeling, Usability & Special Populations. Advances in Intelligent Systems and Computing, vol. 486. Springer, Cham (2017)Google Scholar
- 13.WAZkA Project Homepage, http://wazka.wat.edu.pl/. Accessed 5 June 2018