Alexander Y. Fridman

Institute for Informatics and Mathematical Modelling, FRC KSC RAS

An intelligent information technology for situational modelling of industrial-natural complexes (INCs) of various scales for the purpose of strategic and operative management of them, focused on complex processing of heterogeneous information regarding static and dynamic characteristics of such systems, is considered. The relevance of this task results from the following: complication and interpenetration of INCs; growth of uncertainties in the world due to acceleration of INCs development; increasing data availability due to the birth of the Internet of Things. The novelty of the proposed approach lies in integration of means for studying poorformalised complex non-stationary spatial objects within the framework of cause-and-effect models and integrated usage of expert knowledge to form criteria and select preferable options for implementing INCs structure, which are studied in more detail in a simulation mode with using digital twins of INCs components.

industrial-natural complex, strategic and operative management, quantitative assessment of situational awareness, preventive analytics in safety tasks, digital twin