E3S Web Conf.
Volume 41, 2018IIIrd International Innovative Mining Symposium
|Number of page(s)||5|
|Section||Mining Regions’ Sustainable Development|
|Published online||26 June 2018|
Counter-Strategy to Emergencies in the Coal Mining Industry Based on the Use of Multi-Agent Systems and Fuzzy Logic
Central Economic and Mathematics Institute, Russian Academy of Sciences,
117418 Nakhimovsky Prospect 47,
2 Market Economy Institute, Russian Academy of Sciences, 117418 Nakhimovsky Prospect 47, Moscow, Russia, Moscow, Russian Federation
3 Financial University under the Government of the Russian Federation, 125993 Leningradsky Prospekt 49, Russian Federation, Moscow
Research carried out at the expense of the grant RFBR No 17-02-00416-OGN is devoted to the consideration of problems of formation of a qualitatively new model of monitoring, identification and forecasting of any forms of threats and risks in the field of security of coal mining facilities. Research take into account their new aspects (cross-border network structures, lack of a single control center, presence of a large number of quasi-autonomous organizational and technical elements with their own management trajectories and localized interests etc.). Monitoring and modelling these processes is the basis of the systemic strategies of prevention of emergencies. Developing specific measures for information assurance organizational process in implementation of management action is based on the convergence of information, telecommunication and computing services to government agencies as a control object with a significant number of deviant implemented operational variables with the absence or delay of information signals about their dynamics and ensuring interdepartmental cooperation.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.