The invention discloses a low-voltage area network area-user relationship identification method based on data acquired by intelligent electric energy meters, and the method comprises the following steps: collecting and obtaining a preset number of days of original voltage data of gateway intelligent electric energy meters and user intelligent electric energy meters in a to-be-identified low-voltage area network, cleaning the original voltage data, and obtaining the effective data of each intelligent electric energy meter; according to the obtained effective data of each intelligent electric energy meter, calculating a daily average value and a standard deviation value of the voltage of the intelligent electric energy meter; respectively carrying out correlation analysis on an average valuesequence and a standard deviation value sequence of the user intelligent electric energy meters and the gateway intelligent electric energy meters; and if the analysis result shows that correlation coefficients of the average value and the standard deviation value of the intelligent electric energy meter of a certain user and the intelligent electric energy meter of a certain gateway are the maximum values, judging that the two are matched. The identification method is based on a big data analysis method, and the calculated amount is relatively small; the method can accurately identify the area-user relationship and a meter-phase relationship, and can predict the identification accuracy.