The article is devoted to development of methodology and digital technologies for assessing, forecasting and determining scenarios of geomechanical process evolution. A new digital technology is proposed for remote mining safety monitoring, which integrates a network personnel management system and expert subsystems for decision-making support taking into account geomechanical factors presenting risk of the mine roadway stability loss. Elements of the expert subsystems analyze data in real time, and are used to determine potential risks on basis of criteria and assessments of the production environment state in mines. It is proposed to identify the forecast safety indicators with the help of geomechanical models and by assessing scenarios of the “support-rocks” system stressstrain state evolution. In order the expert assessment of the rock massif and mine roadway stability, integral indicators of emergency potential risk for each geotechnical system elements are specified by values of informative parameters at a certain time point, as well as deviations rates of parameters from the equilibrium point over a period of time. Job safety is provided through the improved effectiveness of personnel interaction and its stricter disciplinary responsibility, as well as by making early decisions on keeping the mine roadways in a trouble-free condition.
The article covers a live scientific problem consisting in development of new and improving of existing digital technologies for forecasting a stress-strain state of ultimate stressed rock massif. The analysis of the researches has shown that the approaches based on the synthesis of mine monitoring methods and analytical forecasting methods are promising for assessing the state of ultimate stressed rocks. The existing hazard indicators can be beaded by the integral indicators of the stress-strain state of the rock massif determined with the help of geo-information systems. However, there are no methods, algorithms and software for figuring these indications. As a result of the research, methods of implementation and functions of software elements have been developed for determining integral indicators characterizing the state of an ultimate stressed rock massif. The “Methodological recommendations …” have been developed, which describes specificity of using the information system for forecast integral parameters of the rock massif stress-strain state and assessing the conditions for the rock destruction. The use of the designed methods, algorithms and software decreases geomechanical risks of gas-dynamic phenomenon occurrence, reduces cost of breakdown elimination and increases economical efficiency of the mining enterprises.
The article presents results of study of intelligent fuzzy logic algorithms developed on the basis of fuzzy logic methods for information system of the mine safety system. In order to prevent emergency situations caused by the lost geotechnical system stability due to the uncertain behavior of the rock mass, a new fuzzy controller was designed which could generate an additional control signal. For the fuzzy controller, methods of data fuzziness, inference and de-fuzziness were validate, and linguistic rules were designed in order to control parameters of the geotechnical system. With the help of the Cauchy problem solved by Runge-Kutta method of the 4th order, designed a software model of the proposed system which simulated the system operation. The model has proved operability and static stability of the developed algorithms. Output signal of the fuzzy controller can be used as information for estimating risk for geotechnical systems, preventing possible emergency situations and, consequently, can improve job safety in the mines.
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