Using a fuzzy pattern recognition method to monitor dusty rooms

ABSTRACT This article discusses a decision support system (DSS) based on fuzzy methods used to identify and process gas dynamic images obtained during monitoring and control of underground coal mine atmosphere processes. DSS supports ventilation operator solutions in complex and unforeseen gas dynamic situations. The work will analyze the quantitative and qualitative information used by the ventilation operator to make decisions. Based on these data, an analysis of the effectiveness of using fuzzy models and methods for interpreting and processing gas dynamic images will be carried out. Fuzzy models and methods of interpretation and processing of gas dynamic images will be proposed. In the future, based on these models and methods, the operator's decision support software will be developed.