Knowledge Base Architecture for Analyzing Defect Occurrence in Printed Circuit Assemblies

The study aims to optimize data utilization in thermal imaging inspection to facilitate the implementation of preventive measures. To achieve this goal, the following tasks were addressed: сollect data on the thermal imaging inspection process and the personnel performing inspections; establish relationships between tables in the knowledge base; develop a framework for processing data to identify defects in printed circuit assemblies; analyze data on the frequency of specifi c defect occurrences to generate recommendations for preventive actions. Hypothesis: automating thermal imaging inspection processes necessitates the development of a knowledge base for effi cient storage and utilization of acquired data. The study employed SQL knowledge base simulation modeling. As a result, an informational model for the knowledge base was developed, which provides insights into the need for implementing preventive measures.