摘要
In view of the deficiency of current gas monitoring systems in coal mine roadwayexcavation, a two-level information fusion technology, which adopted the adaptiveweighted 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 decreasingthe weight value of the failed sensor automatically, so as to eliminate the effect ofthe 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 excavationroadway, but also accurately calculate the gas concentration in the region whereone or more sensors have failed, so as to provide the basis for judging the safety status ofthe roadway excavation.The experiments prove the superiority and feasibility of the applicationof information fusion in gas monitoring.
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.
基金
Supported by the National Natural Science Foundation of China(50874106)
the National High Technology Research and Development Program of China(2007AA06Z114)
