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JOURNALS // News of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences // Archive

News of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences, 2024 Volume 26, Issue 6, Pages 129–138 (Mi izkab916)

Computer science and information processes

Intelligent system to analyse distributed geophysical data for a network of test ranges with multiple landscapes

M. A. Abazokovab, K. Ch. Bzhikhatlovb

a V.A. Trapeznikov Institute of Control Sciences RAS 117997, Russia, Moscow, 65 Profsoyuznaya street
b Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences, 360010, Russia, Nalchik, 2 Balkarov street

Abstract: The article presents a system for collecting and analysing distributed geophysical data from a sensor network of test ranges with multiple landscapes. The paper presents an architecture and features of a software for collecting data from sensors and for their intelligent analysis, taking into account the lack of stable access to the Internet on the territory of the test ranges. The article shows principles of intelligent system analysis of sensor data designed to use various approaches to create artificial intelligence systems. Moreover, the process of data exchanging with programs to model intelligent systems based on multi-agent neurocognitive architectures is described. In addition, the structure of a website and database of a service for collecting and processing data are presented.

Keywords: distributed sensor network, intelligent data processing, multi-agent systems, neurocognitive architectures, test ranges with multiple landscapes, data forecasting, wireless sensor networks, geophysical data

UDC: 004.89:528.8

MSC: Primary 68T01; Secondary 93C65

Received: 21.10.2024
Revised: 08.11.2024
Accepted: 22.11.2024

DOI: 10.35330/1991-6639-2024-26-6-129-138



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