Method for mining consensus data in product collaborative design block chain

The invention relates to mining of consensus data in a multi-group product collaborative design block chain. A method for mining consensus data in a product collaborative design block chain comprises the following steps: S1, finding out a data mapping relation probability by grouping various design data in each design block of a multi-group product; S2, analyzing and designing an interaction frequency value; and S3, determining a data warehouse which needs to form common confirmation in the design according to the data association relationship, and further forming a data account book which needs to be coordinated in the group design. According to the method, the problem that collaborative consensus parameter selection and mining are needed in collaborative design of multiple groups of products is solved, the problem of optimization of mass data in product design can be solved, and the result consistency correctness and efficiency of all design blocks are improved. 本发明涉及多群组产品协同设计区块链中共识数据的挖掘。一种产品协同设计区块链中共识数据的挖掘