Justification of the Architecture a Promising Automated System for Monitoring Radiation, Chemical and Biological Environment Using Artificial Intelligence

Abstract

The most progressive direction for identifying and assessing the chemical warfare situation is the introduction of technologies based on artificial intelligence. The goal of the work is to develop the architecture of a promising system for monitoring the radiation, chemical and biological situation using artificial intelligence. Research information base. Publications on the use of mathematical models in artificial intelligence (AI), available via the Internet. The research method is analytical, from general to specific. We considered the features of using artificial intelligence in automated control systems. Results and discussion. Confrontations with Ukraine and NATO are multivariate and spatial in nature, and require constant monitoring in the face of a lack of specific information about attacks being prepared and already carried out. The use of AI technologies will allow us to go beyond simply displaying the current situation, providing tools for predicting the development of events. The proposed architecture of a promising system involves the creation of a single database filled with verified information from open sources. The developed structure of the web application, which is an interactive interface for analyzing and responding to changes in the chemical warfare situation, will allow flexible switching between information layers and obtaining data in real time. Conclusion. The use of neural network technologies by NBC protection troops will make it possible to search according to specified parameters and conduct retrospective data analysis, which will significantly simplify monitoring of NBC threats for the troops and population of the Russian Federation.

Keywords

• artificial intelligence
• automated monitoring system
• databases
• information technology
• machine learning
• modeling
• neural networks
• security