This invention relates to the field of power
data analysis technology, specifically disclosing a method and
system for representing power customer files based on a multidimensional
knowledge graph. The method includes the following steps: S1, defining the constituent elements of the power customer file
knowledge graph based on a power business
database, including entity types and relationship types; S2, constructing a static relationship layer of the
knowledge graph describing the current state of the power customer file based on entity types and relationship types; S3, adding time dimension information to the static relationship layer according to change data in the business
system, constructing a change history, and forming a dynamic time-series layer; S4, splitting the
event stream according to the combination dimension of
event type and
business entity identifier, and using a configurable
thread pool to concurrently process the split event subsets, forming an event concurrent
processing mechanism; S5, merging the static relationship layer, the dynamic time-series layer, and the concurrent
processing mechanism to form the final multidimensional knowledge graph, providing storage and query capabilities. The technical solution of this invention can ensure the consistency of power customer file data.