Dynamic prediction technology for gas based on data fusion theory
FU Gui-xiang · Meitan xuebao · 2008
A new method was presented based on fusion method,used Bayesian analysis and self-adapting weighted data to precess information and fuse data.It used the Dempster-Shafer evidence theory to deal with the indefinability and indefinability produced in gas prediction.It comprehensively considered the gas concentration and other related parameters and realized the optimization and integration of gas measurement and predicted parameters.This method enhances to establish the completeness of the data source and improve the accuracy of gas detection system for the coal mines.