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In order to improve the effect of multi-sensor consistent data fusion, before multi-sensor measurement data fusion, it is necessary to determine whether the measurement data of each sensor is consistent or not. In view of the shortcomings of the existing multi-sensor consistency data fusion methods, this paper proposes an online iterative clustering multi-sensor consistency data fusion method based on the hypothesis test theory, clustering analysis and normal distribution. A large number of simulation experiments with MATLAB show that the proposed method is better than the existing multi-sensor consistent data fusion method.