E3S Web Conf.
Volume 126, 2019International Conference on Modern Trends in Manufacturing Technologies and Equipment (ICMTMTE 2019)
|Number of page(s)||5|
|Published online||30 October 2019|
Intellectual technology of detection of anomalies in the aquatoria ecosystems of the Sevastopol on the basis of data clustering
Federal State Autonomous Educational Institution of Higher Education «Sevastopol State University»,
2 Black Sea Higher Navy Order of the Red Star Academy by P.S.Nakhimov, Federal State Owned Military Educational Institution of the Higher Professional Education, Russian Federation 299028, Sevastopol
* Corresponding author: firstname.lastname@example.org
The main features associated with the development of intelligent technology for detecting anomalies of ecosystems in the waters of the city of Sevastopol are considered. An approach is proposed, the feature of which is to ensure continuous monitoring of key environmental indicators presented in the form of heterogeneous information flows: hydrometeorological information, data on the level of pollution and air composition, soil, environmental monitoring, monitoring of maximum permissible emissions of harmfulsubstances in order to detect changes in the state of data flow monitoring. The proposed method for thedetection of anomalies of ecosystems of the water area is based on data clustering. We consider typicaloperations on clusters and main metrics based on the Kullback information measure.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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