The invention discloses a
charging station dynamic recommendation method and
system based on multi-dimensional real-
time data, and relates to the technical field of
big data analysis, and the
charging station dynamic recommendation method based on the multi-dimensional real-
time data comprises the steps: obtaining charging data of all users according to charging requests of the users, the charging data comprises historical order data, real-time charging gun data, charging
pile data and
charging station data; based on the charging data of all users, constructing a multi-source heterogeneous
relational graph of an associated order, a charging gun, a charging
pile and a charging
station, and constructing a corresponding initial
feature vector for each node in the multi-source heterogeneous
relational graph; and updating all charging
station node features based on adjacent order nodes, order node information of each user, charging gun node features and charging
pile node features so as to obtain final all charging
station node features, calculating recommendation indexes of all charging stations, and recommending the charging stations to the users. And the recommendation result can better meet the real intention of the customer and the station operation
collaboration.