Review on Big Data Fusion Methods of Quality Inspection for Consumer Goods

摘要

Quality big data comes from a wide range, the problem is how to eliminate the structure barriers between various types of data from different sources, to achieve the effective integration for isolated or fragmented data, and then to mine the information, knowledge and wisdom according to the actual needs. It is urgent for the quality inspection departments to solve the problem of making a decision the first time and take preventive measures. This paper introduced the research status of named entity recognition, solid unified detection, data conflict resolution, data fusion method from the characteristics of quality inspection data. The existence problems are analyzed and the research direction is looking forward of the research on data fusion in this paper.