Aimed at multi-sensor data fusion for gas monitoring

a multi-source data fusion algorithm based on adaptive theory and batch estimation algorithm is conducted.The variance of each group partial fusion value and the final fusion value is used to adjust the weight of each group adaptively.This algorithm can weaken the influence of the group with big error through multi-step fusion.The simulation experiment shows that this method can improve the precision of data fusion compared with the average value method and batch estimation algorithm.It can meet real-time and accuracy requirements for gas monitoring.