2 results about "Product issues" patented technology

The invention discloses a product quality problem solution automatic generation method and device, a medium and a product, and relates to the field of data processing. The method comprises the steps that a fault code and product type information of a current product quality problem are determined as a target fault code and target product type information, the fault code comprises multiple pieces of fault identification information, and the fault identification information comprises failure part information, failure position information and failure mode information; determining a first recommended solution set from a historical database based on the target fault code and the target product type information; when the data size of the first recommended solution set is insufficient, a second recommended solution set is determined from a historical database based on the fault identification information, and the data size of the second recommended solution set is larger than that of the first recommended solution set; and finally, generating a quality problem recommendation solution based on the second recommendation solution set. The problem that the formulating efficiency of the product problem solution is not high can be relieved.

This invention discloses a multi-level and self-learning analysis method and medium for testing data. The method includes: acquiring and parsing product testing result data, and creating a general intelligent agent for the parsed data; determining the type of product problem based on the general intelligent agent, creating a corresponding specialized intelligent agent according to the problem type, and assigning the product problem to at least one corresponding specialized intelligent agent; establishing at least one attribution model based on the specialized intelligent agents to perform in-depth causal analysis of the product testing data and outputting the product reasoning chain; and performing hierarchical self-learning analysis of the product problem based on the reasoning chain and an accumulated knowledge base to obtain key factors affecting the product and the correlation between these factors. This application improves the depth and accuracy of product problem analysis by assigning data to general and specialized intelligent agents, with the general intelligent agent identifying the problem type and the specialized intelligent agents conducting in-depth analysis and mining to output the product reasoning chain.