A mine ventilation network optimization method and device based on multi-parameter perception

Abstract

The present disclosure provides a kind of mine ventilation network optimization method and device based on multi-parameter perception, which comprises: pre-processing the multi-parameter perception data of mine ventilation network, to obtain input data set;According to the wind resistance parameter of the initial ventilation network model in input data set, the pre-set key branch is corrected, to obtain target ventilation network model;According to the preset control range of equipment operating parameter, determine multiple groups of decision variables, calculate the individual fitness corresponding to each group of decision variables according to target ventilation network model, and according to individual fitness, each group of decision variables is iteratively optimized and determined candidate decision variable;If the iteration termination condition is met, the current candidate decision variable is determined as target control strategy, to determine the equipment control instruction of mine ventilation network based on target control strategy.The method and device proposed in the present disclosure realize the global collaborative optimization of mine ventilation network, and improve its control accuracy and response speed in dynamic environment.

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