Hydrology objects monitoring system
https://doi.org/10.21122/2309-4923-2019-4-25-31
Abstract
The article deals with the results of the development of monitoring system of potentially dangerous hydro-objects. The formal statement of the problem, models of the monitoring scene and its participants are presented. The scene is initially focused on the gradual replacement of participants-people on systems with artificial intelligence. The models are unified and can be refined to the level of program code. On the basis of models the proactive algorithm of monitoring providing fixing of dangerous situations at an initial stage of their emergence and operational synthesis of the corresponding managing decisions is constructed. The algorithm uses a knowledge base containing formalized expert knowledge about the features of the observed objects and resources of the regional administration to combat catastrophic phenomena.
To automate the solution, a hardware and software system using domestic intelligent sensors has been developed. Programs are written in the console version, require a minimum of computing resources. The peculiarity of the system is to minimize the time of decision-making and reducing their subjectivity by reducing the role of the human factor.
The complex is intended for use in areas where possible floods of water bodies with disastrous consequences.
About the Authors
A. I. Kuzmich
«Gornelectronics» Ltd
Belarus
Kuzmich Anatoly Avanovich, PhD, Director of Innovative Technologies of the company «Gornelectronics»
Belarus
Kuzmich Anatoly Avanovich, PhD, Director of Innovative Technologies of the company «Gornelectronics»
O. V. Baranovski
Belarusian State University
Belarus
Baranovski Oleg Vasilievich, the applicant for the Information Management Systems Department
Belarus
Baranovski Oleg Vasilievich, the applicant for the Information Management Systems Department
A. N. Valvachev
Belarusian State University
Belarus
Valvachev Alexander Nikolaevich, Ph. D., Assoc. Prof,. Associate Professor of Information Management Systems Department
Belarus
Valvachev Alexander Nikolaevich, Ph. D., Assoc. Prof,. Associate Professor of Information Management Systems Department
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Review
For citations:
Kuzmich A.I., Baranovski O.V., Valvachev A.N. Hydrology objects monitoring system. «System analysis and applied information science». 2019;(4):25-31. (In Russ.) https://doi.org/10.21122/2309-4923-2019-4-25-31
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