Product quality prediction method and system based on identifier analysis

• Main Authors: QIU XUZHI, HUANG XIN, ZHU DAOYUAN, CHEN YUMENG, LIU JIE, TANG QUANBIN, HUANG LIN, YANG PEILI, ZHOU GUANYU, YU MENGMENG
• Format: Patent
• Language: Chinese; English
• Published: 07.07.2023
• Subjects: CALCULATING; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; PHYSICS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

The invention discloses a product quality prediction method and system based on identification analysis. The method comprises the following steps: acquiring first basic data from an identification analysis secondary platform; obtaining one or more kinds of second basic data in production environment basic data and order basic data through an Internet of Things platform or an input mode; training a corresponding preset model based on the first basic data and/or the second basic data to obtain a product quality factor prediction model; and obtaining product quality prediction data by using the product quality factor prediction model and analyzing the product quality prediction data so as to predict the quality of the product. According to the method and the system, data including upstream raw material total factor data, product historical experience data and the like are selectively acquired from an identification analysis secondary platform, total factor and full-chain data acquisition of raw materials, enviro