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UDC 004.724

THREE-LEVEL EARTH REMOTE SENSING ON THE BASIS OF CYBER-PHYSICAL SYSTEMS

B. V. Kostrov, PhD (technical sciences), full professor, Head of the Department, RSREU, Ryazan; This email address is being protected from spambots. You need JavaScript enabled to view it.
V. N. Ruchkin, PhD (technical sciences), full professor, RSREU; This email address is being protected from spambots. You need JavaScript enabled to view it.
A. I. Taganov, PhD (technical sciences), full professor, Head of the Department, RSREU, Ryazan; This email address is being protected from spambots. You need JavaScript enabled to view it.
A. N. Kolesenkov, Ph.D (technical sciences), assistant professor, RSREU, Ryazan; This email address is being protected from spambots. You need JavaScript enabled to view it.

The issues of cyber-physical systems (CPS) application to organize three-level monitoring of objects and territories for forecasting, warning and early detection of emergencies are considered. The aim of the work is to develop software for basic CPS management of the complex of information, operational and algorithmic support for terrestrial, airborne and remote sensing of the Earth. Computer systems and sensors that provide monitoring of various indicators and automatic transmission of collected data to the next level are the basis for such CPS. On the basis of the received data, special devices of the CPS make changes in the external environment, reducing the risks of emergencies. The operational component, including supercomputers, the cloud computing environment SaaS, PaaS or IaaS provides the implementation of the tasks set. As a result of using artificial neural networks, the complex is intelligent, capable of learning and self-learning. The structure and prototype of the CPS interface is proposed, the principles and algorithms of the main procedures are described. The hierarchical intellectual telecommunication structures of the components of the CPS based on the neuroprocessor MB 7707 and the modern NM 6407 are studied to reduce the risk of decision making due to specialized processing of data in conditions of uncertainty.

Key words: ground, air and remote sensing of the Earth, cyber-physics system, cloud computing, supercomputer, fire monitoring, sensors, decision-making risks, clusters, microprocessor module, intelligent telecommunications structure.

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