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Informational, operational and algorithmic support of cyber-physical systems monitoring emergency situations

Keywords:

V.N. Ruchkin – Dr. Sc. (Eng.), Professor, Department of Informatics and Computer Engineering, Ryazan State University named for S. Yesenin
E-mail: v.ruchkin@rsu.edu.ru
B.V. Kostrov – Dr. Sc. (Eng.), Professor, Department of Computer, Ryazan State Radio Engineering University
E-mail: kostrov.b.v@evm.rsreu.ru
A.N. Kolesenkov – Ph. D. (Eng.), Associate Professor, Department of Space Technology, Ryazan State Radio Engineering University
E-mail: kolesenkov.a.n@rsreu.ru


For the prevention and early detection of emergencies it is necessary to create and improve a global integrated tools comprehensive detection, capture, maintenance and liquidation of foci in real time. This will allow to carry out many functions detection of hazardous factors in the indirect and direct signs of the above complex of funds from direct measurements of physical parameters from various remote sensing methods.
The synergy of information, computational and physical components results in the development of cyber-physical system that enables interaction with elements of cyber and physical spaces, combining hardware and software resources at various levels, including the actual physical devices and processes, as well as providing operating control and management of geographically distributed objects in the external environment.
The functioning and development of complex systems described by statistical laws, so it is impossible to clearly predict the occurrence of a certain situation. For the prediction of damage used indicators of the risk of emergency due to the possibility of damage as a result of implementation of the threat.
Multilevel organization of land, air and remote sensing and the use of high performance low power parallel processors required to implement complex interactions of sensors, processing video and other signals.
The structure of the complex of informational, operational and algorithmic support cyber-physical system is proposed to be divided into informational, operational and algorithmic components, connecting them high-speed radio-TV Wi-Fi and cloud computing-based Protocol UDP.
The paper describes the management interface modes of operation that conventionally includes five modules. For the practical im-plementation of the proposed algorithms as the Central computational module has been selected microcomputer module Russian-made MV 7707 working in a broad range of embedded electronic devices.
The solution of the formulated tasks and implementation provides operational component, including supercomputers, cloud computing environment SaaS, PaaS or IaaS. The use of artificial neural networks in General, the complex are intelligent, capable of learning and self-education.

References:
  1. Kolesenkov A.N., Kostrov B.V., Ruchkin V.N. Emergencies monitoring and preventing // Proceedings 2nd Mediterranean Conference on Embedded Computing (MECO). 2013. P. 263−265.
  2. Kolesenkov A., Kostrov B., Ruchkina E., Ruchkin V. Anthropogenic situation express monitoring on the base of the fuzzy neural networks // Proceedings 3rd Mediterranean Conference on Embedded Computing (MECO). 3/2014 (including ECyPS). P. 166−168.
  3. Teodora Sanislav, George Mois, Silviu Folea, Liviu Miclea, Giulio Gambardella, Paolo Prinetto. A Cloud-based Cyber-Physical System for Environmental Monitoring // Proceedings of 3rd Mediterranean Conference on Embedded Computing (MECO). Montenegro, Budva. 2014. P. 6−9.
  4. Ruchkin V.N., Kostrov B.V., Kolesenkov A.N., Ruchkina E.V. Algorithms of Fire seat Detection, Modeling Their Dynamics and Observation of Forest Fires via Communication Technologies // Proceedings 4th Mediterranean Conference on Embedded Computing. Budva. 2015. P. 254−257.
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