The invention discloses a wearable device data optimization processing method based on the editing distance. The method includes the steps of firstly, conducting simple zero crossing point data segment on data fed back by a sensor; secondly, conducting periodic detection, and conducting the following more detailed periodic distinguishing if the data conforms to periodic action standards after periodic detection is completed; thirdly, conducting editing distance calculation on a data stream of the second step, and obtaining the calculation result; fourthly, obtaining the final precise result according the result of the third step and through the assistance of a correction function, and making the precise result conform to the objective common sense; fifthly, putting forward an undirected graph concept for a multi-sensor system, and calculating all edge weight values through the similarity algorithm; sixthly, obtaining the minimum sensor set Vf through the optimal node algorithm. According to the method, the existing long data processing flow in a single-sensor system is abandoned, and in a multi-sensor system, the aims of saving energy and reducing space expenses are achieved through an undirected graph and a dynamic planning function.