Intelligent system to analyse distributed geophysical data for a network of test ranges with multiple landscapes
M.A. Abazokov, K.Ch. Bzhikhatlov
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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
For citation. Abazokov M.A., Bzhikhatlov K.Ch. Intelligent system to analyse distributed geophysical data for a network of test ranges with multiple landscapes. News of the Kabardino-Balkarian Scientific Center of RAS. 2024. Vol. 26. No. 6. Pp. 129–138. DOI: 10.35330/1991-6639-2024-26-6-129-138
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Information about the author
Mukhamed A. Abazokov, Junior Researcher, Laboratory of Neurocognitive Autonomous Intelligent
Systems, Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences;
360010, Russia, Nalchik, 2 Balkarov street;
Chief Researcher of Laboratory 57, V.A. Trapeznikov Institute of Control Sciences of the Russian
Academy of Sciences;
117997, Russia, Moscow, 65 Profsoyuznaya street;
abazokov1997@mail.ru, ORCID: https://orcid.org/0000-0002-8710-1562, SPIN-code: 5167-5962
Kantemir Ch. Bzhikhatlov, Candidate of Physical and Mathematical Sciences, Head of the
Laboratory of Neurocognitive Autonomous Intelligent Systems, Kabardino-Balkarian Scientific
Center of the Russian Academy of Sciences;
360010, Russia, Nalchik, 2 Balkarov street;
haosit13@mail.ru, ORCID: https://orcid.org/0000-0003-0924-0193, SPIN-code: 9551-5494