The massive amount of meter measurement data brought by smart meters and remote meter reading technology makes it possible to carry out topology identification of low-voltage power supply networks. This paper proposes a topology identification method for low-voltage power supply network based on meter measurement data. The method defines the meters in the topology as branch node meters. According to the characteristics of power mu-tation, the feature is extracted by wavelet transform, and the connection relation of branch nodes is determined by similarity judgment. By using actual field data, an example analysis of a power supply network with 12 branch meters and 114 user meters is carried out, and the effectiveness of the method proposed in this paper is verified by the results.