Intelligent acquisition method for low-redundancy power consumption data

The invention relates to the technical field of intelligent data acquisition, and discloses a low-redundancy power consumption data intelligent acquisition method, which comprises the following steps of: acquiring user power consumption data and performing set division; performing center point calculation on the user power consumption data set obtained by division; according to the calculated central point of the user power consumption data set, fusing the user power consumption data to obtain different data fusion clusters; and performing data deduplication processing on the data in the different data fusion clusters to obtain user power consumption data after deduplication. According to the method, attribute weights of different power utilization data attributes are constructed based on a correlation degree matrix of the power utilization data attributes and power utilization types, a user power utilization data set is divided into a plurality of data clusters based on data density of weighted attributes, a