To prevent emergencies at mining enterprises, a model of controlling stability of geotechnical system by fuzzy logic methods was developed based on the data fuzzification, inference and defuzzification. The main principles were formulated for the identification of specific features of dangerous production facilities in mining industry. To determine the input parameters for the fuzzy logic model, the systematization of uncontrolled (mining and geological) and controlled (technical and technological) parameters, the presence or change of which affects the stability of the rock massif and roadways, was carried out. The application of such methods as aggregation, implication, defuzzification was substantiated for processing input signals. An algorithm of fuzzy logic inference was formed to control parameters of a geotechnical system. The model differs by its ability to adapt to the specifics of controlling the geotechnical system “support - rock massif” and to select logical rules depending on the established criteria.

The stress-strain state of the rock mass affects the content of methane gas and radon aerosols in the atmosphere of mine workings. Therefore, combined control of methane gas and radon in mine workings allows us to monitor changes in the state of the rock massif and to take measures in proper time to reduce the risks of the roadway destruction. Forecasting of rock massif and mine roadway dangerous state is based on the determined features of methane gas emission together with radon decay products into the mine roadways radon decay products. Interdependence between the dynamics of changes in the concentration of methane gas and the normalized concentration of radon is established when range of the deviations from the average value is ± 20%. Abrupt spikes at the range above 40% are explained in prone-to-destruction zones of the rock massif. One of the indicators of the rock massif readiness for dynamic manifestations of rock pressure and the destruction of mine roadways can be a decrease in the concentration of radon decay products Po218 below 5%.