Aiming at requirements of accuracy and reliability of multi-sensor data acquisition system

the data fusion method that combines batch estimation fusion of single sensor with the correlation function of fuzzy theory and the adaptive weighted fusion algorithm is proposed.Firstly

batch estimation fusion is applied to every single senor to obtain more reliable value of local decision-making.Secondly

correlation function of fuzzy theory is applied to calculate the degree of correlation of each sensor with others

then weed out the local decision-making value of low degree of correlation.At last

the adaptive weighted fusion algorithm is applied to the remaining value of local decision-making according to the principle of optimal weight distribution for data fusion.This method objectively reflects the reliability of every sensor without any priori knowledge.Data analysis result shows that this method has higher precision

compared with fusion method of similar.