The method of analyzing the results of dust concentration measurements in mine workings that was conducted within the ROCD (Reducing risks from Occupational exposure to Coal Dust) European project using the developed dust prediction algorithm is presented. The analysis was based on the measurements of average dust concentration with the use of the CIP-10R gravimetric dust meters, for the respirable PM4 dust concentration, and IPSQ analyzer for instantaneous concentration measurements (including PM2.5 dust) and with the use of Pł-2 optical dust meters for instantaneous concentration measurements of PM10 dust. Based on the analyses of the measurement results, the characteristics of the distribution of PM10, PM4, and PM2.5 dust particles were developed for the tested dust sources. Then, functional models based on power functions were developed. The determined models (functions) allow predicting the dust distribution in such conditions (and places) for which we do not have empirical data. The developed models were implemented in a specially developed online tool, which enables predicting the concentration of PM10, PM4, and PM2.5 dust (on the basis of dust concentration of one source) at any distance from the dust source.

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The article presents conceptual assumptions and achieved functional-utility effects concerning the implementation of control and visualization system of operation of pulsating jigs in the Coal Mechanical Processing Plant of BUDRYK Coal Mine. The system includes six OSM medium-grain and two OM fine jigs. The communication structure of the control system, including the connection with the master controller, is presented. The process of selecting the controller settings, to stabilize the quality parameters of the coal beneficiation, is discussed.

The fuzzy controller of the bottom product collecting system of the pulsating jig is presented. The primary purpose of the research work was to design and properly adapt the fuzzy controller so that it would enable the correct operation of the jig with appropriate control properties in all compartments of the jig. The results of industrial tests, in which selected indicators of regulation quality were considered, were analyzed. A comparative analysis of the tested fuzzy controller and the classic PID controller was also performed.

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