To compare effects of the single integration model fusion

and the different optimal weighting information fusion model effects through the study by information fusion model of BP

RBF neural networks

support vector machine（SVM） integration on the failure CO sensor data fusion in the highway tunnel.The simulation test results show that the effectiveness of integration of three kinds of single-fusion model on tunnel CO volume fraction

among which the single SVM fusion model is the best.Optimal weighted fusion performance is superior to a single fusion model

in which BP and SVM

the optimal weighted fusion has the highest precision. The effect rule of the redundancy of precision of single fusion precision between the model outputs on optimal weighted fusion precision is also analyzed.The rule provides a new way to select single models of the optimal weighted fusion.