INTEGRATION OF AN ONTOLOGY-BASED DECISION SUPPORT SYSTEM WITH DIGITAL TWINS AND DIGITAL THREADS OF UAVS FOR IMPROVING DECISION TRACEABILITY AND ECONOMIC ASSESSMENT ACCURACY

Ю. А. Воробйов, К. В. Майорова, А. О. Сосунов

Abstract


The object of this study is the integration of an ontology-based decision support system with digital twins and a digital thread of unmanned aerial vehicles (UAVs). The research addresses the problem of the absence of a formalized information architecture capable of ensuring semantic consistency, full decision traceability, and coherent integration of technical and economic assessments within a unified digital environment.

An integrated information architecture is proposed that combines a semantic ontology layer, a dynamic digital twin layer, a decision-making module, and a graph-based digital thread into a coordinated system. A formal model of the digital twin is used to enable adaptive recalculation of alternatives when the technical state of the UAV changes. Decision traceability is achieved through the construction of a structured explanatory subgraph within the digital thread, preserving the complete context of requirements, system states, activated rules, and economic indicators.

The integration of economic evaluation directly into the digital decision loop ensures consistent updating of risk-adjusted mission cost indicators in response to state variations. The results confirm deterministic recalculation of alternatives, semantic coherence between ontology and digital twin parameters, locality of updates, and full traceability of decisions.

The proposed approach can be applied in mission planning systems, UAV fleet management, lifecycle digital platforms, and traceable decision support environments operating under dynamically changing conditions.


Keywords


ontology-based decision support system; digital twin; digital thread; UAV; decision traceability; economic assessment; information architecture; lifecycle integration

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DOI: https://doi.org/10.32620/oikit.2026.108.21

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