Abstract

The conceptual stage of designing an intelligent territorial safety management system is presented. The article shows the problems of information support for management associated with the need to process a large volume of unformal-ized data and their low reliability. Existing descriptions of objects and processes are not constructive. The approval and decision-making processes are poorly algorithmized and there are no feedback mechanisms reflecting the quality of decisions. As an alternative, the article proposes the use of intelligent technologies that change the mechanisms for col-lecting, processing and using data. An ontological description of a multi-level management model is presented that formalizes the main tasks of ensuring the natural and technogenic security of territories. Management levels and ob-jects are highlighted, and their information support is shown. The model is based on assessments of territorial risks, rep-resenting a combination of comprehensive monitoring indicators. The novelty of the approach lies in the possibility of justifying the types and volumes of activities with the magnitude of risks, as well as linking management results with the necessary resources. The model is the basis of the intelligent system project. Using object-oriented programming methods, the transition from ontological description to structural and functional designing is shown. Representation of ontology elements in the form of sets allows the construction of multidimensional analytical models that reveal ways to solve management problems in specific conditions. This makes it possible to justify the composition of information and the requirements for its quality for each level of the territorial management hierarchy. Problem solving examples of ensuring territorial safety in accordance with the proposed classification are given. The model can be used as a scien-tific basis for management digitalization programs implemented in the constituent entities of the Russian Federation.

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