The invention relates to a multi-time scale power utilization anomaly analysis method based on a power utilization acquisition system, and belongs to the field of monitoring. The multi-time scale power utilization anomaly analysis method comprises the steps of firstly classifying data acquired by the power utilization information acquisition system according to a time scale; sorting the data acquired by the power utilization acquisition system into short-term power utilization data and mid-and-long term power utilization data, and in allusion to the short-term power utilization data, identifying a power utilization anomaly user by combining a relevant threshold judgment method through using electrical information such as current and voltage; and in allusion to the mid-and-long term power utilization data, searching power utilization anomaly conditions by combining a clustering algorithm and a correlation coefficient method through using electrical information such as daily power consumption and monthly power consumption. According to the multi-time scale power utilization anomaly analysis method based on the power utilization acquisition system, the data acquired by the power utilization acquisition system is sorted into the short-term power utilization data and the mid-and-long term power utilization data according to the time scale, so that abnormal power utilization suspect users are searched from different time scales. The multi-time scale power utilization anomaly analysis method can be widely applied to the fields of power utilization management of power supply companies and user power utilization abnormal condition identification.