MATEC Web Conf.
Volume 125, 201721st International Conference on Circuits, Systems, Communications and Computers (CSCC 2017)
|Number of page(s)||8|
|Published online||04 October 2017|
A Computer System for CBRN Contamination Threats Analysis Support, Prediction Their Effects and Alarming the Population: Polish Case Study
Institute of Computer and Information Systems, Faculty of Cybernetics, Military University of Technology, Warsaw, Poland
a Corresponding author: firstname.lastname@example.org
The article outlines a concept for the system supporting analyses of threats related to contamination and alarming (WAZkA), for the purpose of the National System for Detection of Contamination and Alarming (Krajowy System Wykrywania Skażeń i Alarmowania, KSWSiA) in Poland. Additionally, the article presents the point of designing such system, its concept and components. The main objective of WAZkA is to support the following processes of the KSWSiA: information exchange between the system elements and coordination of the system operations, as well as to prepare assessment and expert analyses, needed by the decision-making bodies, with respect to risk emergency situations during natural disasters, technical failures or other events resulting in biological, chemical or radioactive contamination. The selected modules included in the WAZkA system: Event Tree Analyzer, visualization module (COP) and emulators of the threats monitoring systems, were described as well as the idea of using the system for the purpose of training, including the designed emulators of the risk monitoring systems together with the scenario editor. The Event Tree Anlyzer is a graphical representation of a chronological sequence of events, significant from the point of view of the functioning of the object, which occur after a given event that initiates such sequence. COP is the GIS tool, which allows to present an operating situation on the basis of background maps. The application offers a possibility of enriching the presented operating situation with the risk data provided in the form of NATO ADat-P3 (CBRN) reports. Emulators of the threats monitoring systems allow to generate, in an artificial and user-controlled manner, data on risks, which “pretend” to be real data obtained from the monitoring systems. The above approach significantly facilitates the organization of training and learning about rare situations or situations that have never occurred, but that are potentially dangerous.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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