Abstract
In view of the deficiency of current gas monitoring systems in coal mine roadway excavation, a two-level information fusion technology, which adopted the adaptive weighted algorithm and the BP neural network technology, was applied to gas monitoring. The results show that the adaptive weighted algorithm can realize self-regulation by decreasing the weight value of the failed sensor automatically, so as to eliminate the effect of the failed sensor and ensure the effectiveness and accuracy of the gas monitoring system. The BP neural network can not only effectively predict the gas gush quantity of the excavation roadway, but also accurately calculate the gas concentration in the region where one or more sensors have failed, so as to provide the basis for judging the safety status of the roadway excavation. The experiments prove the superiority and feasibility of the application of information fusion in gas monitoring.
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