The invention relates to a sensor network data fusion method based on data uniformity weighting, which is implemented according to the following steps: determining the distance weighted value Omega(di) of each sensor node i according to the distance from an actuator; generating a node association relation diagram according to the geographical location of each sensor node in a scene to describe the adjacent relation around each node; calculating the smoothness weighted value Omega(si) of each node i according to the node association relation diagram; calculating the pre-estimated result De according to the distance weighted value Omega(di) and the smoothness weighted value Omega(si); calculating the amount of weighting fine-tuning Delta Omega(i); and after getting the amount of weighting fine-tuning, calculating the final data fusion result D. According to the sensor network data fusion method based on data uniformity weighting put forward by the invention, the influence of error nodes on the final result is weakened by adopting different weighted values, and an accurate sensing result can be obtained.