Intelligent optimization and early warning method and platform for multi-dimensional factor collaborative large-scale material matching

Abstract

The invention discloses an intelligent optimization and early warning method and platform for multi-dimensional factor collaborative large-scale material registration. The method comprises the following steps: 1) constructing a control queue; 2) adding, deleting or changing nodes in the control queue; 3) loading a table item k in the mapping table and a material set contained in the predefined table item k, establishing mapping association between the table item k of the mapping table and a node nq of the control queue, and establishing an association pointer from materials in the material table to the table item k in the mapping table; 4) obtaining a complete set model function F and a control model function fj (t); 5) checking a safety boundary; and (6) adjusting is completed, the material quantity safety risk is solved, and the process is ended. According to the invention, aiming at a scene with a huge material type scale, various events influencing the materials are taken as driving, and the various events are processed according to a unified standard, so that efficient and accurate material neat set early warning, overstock early warning and management control are realized, the effectiveness of enterprise material management is improved, and the risk and the cost are reduced.

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