To solve the problem of area identification, on the basis of introducing the basic theory of wavelet frame makes the intelligent watt-hour meter in use the same a wavelet framework, respectively to pyramidal decomposition of the voltage data gathered themselves, and to frame the signal decomposition son after calculating the distribution of energy, by differential calculation to determine the position of sampling signal mutation, Using the broadband carrier communication network of the existing electricity information acquisition system, the intelligent electricity meters can judge the results interactively. Finally, they can identify their own stations through the similarity of the mutation positions. Theoretical analysis and practical application show that the new technique makes full use of the wavelet framework and has low computational complexity in signal analysis. Low memory data retention and small communication load between nodes; The high accuracy of identification results provides a new solution for the management department which can remotely identify a large number of smart electricity meters at the same time without introducing new hardware equipment.