Because the rule of evidence combination used by D-S fusion algorithm can not effectively deal with evidence conflict, and BP neural network fusion algorithm in the sample fluctuations needs to train again for completing the fusion, it is easy to cause local minimum problem. Therefore, we integrate D-S fusion algorithm and BP neural network fusion algorithm to propose multichannel multi source data fusion algorithm based on context weight. Firstly, this paper used D-S fusion algorithm and BP neural network fusion algorithm based on the context of detected data for the fusion processing of corresponding data in context, then the obtained fusion result was set for the corresponding weights, multiple parallel fusion results was weighted to get final fusion results. We compared with the setting threshold to obtain the final verdict. Experimental results show that the proposed algorithm can effectively deal with the fusion problem of evidence conflict, which has high accuracy and good fusion effect.