Architectural Solution for the Distribution of Software and Hardware Systems for Monitoring Potentially Unsafe Objects

Abstract

The relevance of the scientific research topic is determined by the constant increase of accidents and technological disasters on modern industrial objects, especially those events, that developed further accidents. The basis of the scientific research methodological approach is a combination of the artificial intelligence-based (AI-based) software-hardware system development key principles systemic analysis method and complex research of AI-based software-hardware basic system employment to prognosis potential accidents during the organization of potentially unsafe object monitoring. The results acquired in the scientific research, state, that it is necessary to develop and implement new, improved architectural solutions, which will be used as a base for the creation of software-hardware automated potentially unsafe object monitoring systems, which will predict possible accidents in real-time and prevent the development of severe accidents, that may grow into major disasters. Moreover, the creation of a hierarchic, interbranch, potentially unsafe object monitoring system to prevent technological disasters, accidents, and events will save life and health of workers and the civilian population.