Electricity fee collection risk assessment device based on big data platform clustering algorithm and method thereof

The invention relates to the technical field of fee collection risk assessment, and provides an electricity fee collection risk assessment device based on a big data platform clustering algorithm and a method thereof. The device comprises an electricity consuming unit feature data import module, a clustering data mining module and an electricity consuming unit credit evaluation system output module. The electricity consuming unit feature data import module extracts a social attribute indicator, a value attribute indicator, a behavior attribute indicator and other mass data of an electricity consuming unit and stores the mass data in a big data platform. The clustering data mining module performs parallel iterative analysis processing one the data and preliminarily judges the credit rating to which the electricity consuming unit belongs. The electricity consuming unit credit evaluation system output module confirms and outputs the credit rating of the electricity consuming unit according to data division of the clustering data mining module. The risk that the electricity consuming unit does not pay electricity fee on time can be effectively avoided so that the risk that funds of electric power enterprises cannot be withdrawn on time can be effectively reduced further.