The Application of Fuzzy Mathematics on Classification of Producing Dust Condition in Mining Working Face Different Processes and Selection of Nozzles with Dust Removal Function

Abstract

Aiming at the problem of large water consumption of the coal mine dust suppression by atomized water, this article based on the fuzzy mathematics theory, to realize the classification of dust condition that different processes of mining coal face produced and the scientific choice of dust nozzle, application of fuzzy clustering analysis method to classify dust condition that different processes of mining coal face produced, and this article uses the fuzzy similarity measure for the process to select the most appropriate a classified nozzles with dust removal function, the multi-target quantitative analysis method makes the choice of the nozzles to have the scientific nature, there is an important guiding significance on water saving which dust suppression by atomized water use, the reliability of this method was verified through the actual example analysis.