Quality Management of the Food Cold Chain System based on Big Data Analysis

摘要

The condition monitoring of food cold chain quality management systems is the key to ensuring the stable operation of food cold chain quality management systems. In the process of food cold chain quality management systems, it is necessary to accurately detect and identify the quality of food cold chain systems, and the quality management technology of food cold chain systems based on big data analysis is put forward. The statistical analysis model of food cold chain system quality management evaluation is constructed. Through the same kind of mapping and closed frequency complex item collection evaluation method, the hierarchical cluster analysis of data is carried out. The criterion of food cold chain quality management systems can be obtained by the Sigma test. In the statistical regression analysis model, the attribute set of food cold chain quality distribution big data in food cold chain quality management systems is constructed. There are six secondary indexes under the management scale of the enterprise, five secondary indexes under the warehousing management level, four secondary indicators under the logistics level, three information indexes under the information level, and three evaluation indexes under the customer management level. By using this evaluation system, the development status and operation status of fresh cold chain logistics can be reflected comprehensively, and the quality management of food cold chain systems can be determined. It is found that the reliability of this method for quality management of food cold chain systems is good.