The data quality defects in the emergency repair service platform of intelligent distribution network have negative impacts on the accuracy of early warning and emergency repair. Under the background, a data quality processing method for power-off information of power consumption information acquisition system is proposed. Firstly, the regression method is utilized to identify the overall anomaly rate of the data. Secondly, the defects of the shutdown and power on data are identified and processed according to the identification indicators of integrity, uniqueness, consistency and accuracy. Finally, the significant relationship between the latest data and historical data is analyzed to help identify data timeliness. This method identifies and processes the quality of source data, and provides reliable data support for the development and operation of information integration and fault diagnosis in the later platform construction.