Slashchov А.І., Slashchov І.M., Osinnya N.V., Konstantynova I.B. The hierarchical model of fuzzy logic output formalization for digital systems evaluating mine workings stability

Details
Parent Category: Geo-Technical Mechanics, 2019
Category: Geo-Technical Mechanics, 2019, № 149

Geoteh. meh., 2019, 149, 122-131

https://doi.org/10.15407/geotm2019.149.122

 THE HIERARCHICAL MODEL OF FUZZY LOGIC OUTPUT FORMALIZATION FOR DIGITAL SYSTEMS EVALUATING MINE WORKINGS STABILITY

1Slashchov А.І., 1Slashchov І.M., 1Osinnya N.V., 1Konstantynova I.B.

1Institute of Geotechnical Mechanics named by N. Poljakov NAS of Ukraine

UDC 622.831.31 : 622.112.3

Language: Russian

Annotation.

The article presents results of studies on substantiating logic output algorithms in the fuzzy logic hierarchical model for digital systems evaluating mining operation safety. Research methods: mathematical theory of fuzzy sets and fuzzy logic; methods of fuzzy logic algorithm implementation for converting input and output signals and creation of expert rules; methods of computational process organization and building of software models for information systems. In the number of complex, hardly formalized objects, which, mainly, operate in the conditions of uncertainty, one should include geotechnical system. Solution to the problems of intensification and safety of mining operations is associated with the uncertain behavior of rock massif, for which accurate data exist only in analytical calculations. Therefore, for controlling real processes of the mine working stability, it is necessary to operate with ranges of parameter values, boundaries of which can be determined by analytical methods as well, which are based on various model. In this research, the initial data were systematized, which made it possible to substantiate significant factors or the most relevant reasons affecting stability of the underground mine workings. In order to prevent emergency situations caused by the lost geotechnical system stability due to the uncertain behavior of the rock mass, methods of data fuzziness, inference and de-fuzziness were validated. Usability of the following methods of input signal processing was justified: method of logical multiplication (intersection of fuzzy sets), aggregation method (joining by belonging to the rule); implication method; and de-fuzziness method (gravitational). Linguistic rules were formulated, and fuzzy logical inference algorithm was designed in order to control parameters of geotechnical systems. Odd symmetry of matrix of the formulated linguistic rules determined a typical symmetric shape of the control surface.  The findings can be used in digital safety systems for evaluating mine working stability and preventing possible emergency situations.

Keywords: mine workings stability, labor safety, intelligent algorithms, fuzzy logic.

 

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About the authors

Slashchov Anton Ihorovych, Candidate of Technical Sciences (Ph.D), Junior Researcher in Department of Geodynamic Systems and Vibration Technologies, Institute of Geotechnical Mechanics named by N. Poljakov NAS of Ukraine (IGTM, NASU), Dnepr, Ukraine, This email address is being protected from spambots. You need JavaScript enabled to view it.

Slashchov Ihor Mykolayovych, Candidate of Technical Sciences (Ph.D), Senior Researcher, Senior Researcher in Department of Mineral Mining at Great Depths, Institute of Geotechnical Mechanics named by N. Poljakov NAS of Ukraine (IGTM, NASU), Dnepr, Ukraine, This email address is being protected from spambots. You need JavaScript enabled to view it.

Osinnya Nataliya Volodymyrivna, Master of Science, Junior Researcher in Department of Elastomeric Component Mechanics in Mining Machine, Institute of Geotechnical Mechanics named by N. Poljakov NAS of Ukraine (IGTM, NASU), Dnepr, Ukraine, This email address is being protected from spambots. You need JavaScript enabled to view it.

Konstantynova Iryna Borysivna, Master of Science, Lead Engineer in the Department of Mineral Mining at Great Depths, Institute of Geotechnical Mechanics named by N. Poliakov NAS of Ukraine (IGTM, NAS of Ukraine), Dnіpro, This email address is being protected from spambots. You need JavaScript enabled to view it.