K.O. Belyakov1
1 Stroganov Russian State University of Design and Applied Arts (Moscow, Russia)

1 9099332211@mail.ru

Traditional methods of managing mining complexes do not provide effective processing of extremely large telemetry arrays and synchronisation of autonomous nodes in real time. Existing approaches to deterministic control of mining processes demonstrate low stability in the event of sudden changes in the geomechanical and technological parameters of the environment.

The objective of the article is to conduct information modelling of an adaptive decision-making graph in collaborative control systems to stabilize technological processes in conditions of uncertainty in the mining and geological environment.

A conceptual hierarchical model of intelligent control has been proposed, combining the levels of strategic synthesis, collaborative information environment, logical inference graph, and executive technical systems. The developed architecture ensures the integration of heterogeneous data flows and the functioning of predictive analyzers to identify critical conditions of equipment and rock mass.

Practical significance. The presented model serves as a theoretical basis for the development of autonomous control systems operating in real time. The transition to distributed intelligent systems allows the implementation of algorithms for proactive parameter adjustment, ensuring the efficiency of mine development and the transition to a proactive paradigm of industrial subsoil development.

Belyakov K.O. Information modelling of decision-making graphs in collaborative mining management systems // Neurocomputers. 2026. V. 28. № 4. P. 81–87. DOI: https://doi.org/10.18127/j19998554-202604-08

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