Development of databases of intelligent expert systems for automatic control of product quality indicators

Abstract

Currently existing methods of product quality assessment are far from perfect, since this assessment is carried out in the laboratories of enterprises. Successful solution of this problem is possible when implementing intelligent expert systems for monitoring and forecasting in the flow of product quality indicators using intelligent technologies in the production process. One of the most important components of the expert system is the database. The article deals with the methodological basis for creating databases for building an intelligent expert system for monitoring and forecasting product quality indicators in the production process. Distinctive features of databases are highlighted. The method of database development is investigated and proposed. The main stages of database development are investigated and analyzed. An integrated conceptual model of the domain database of the integrated expert system has been developed. Developed: a tree of database goals, the composition of the main elements of the database system of the intellectual expert system of product quality control. The main phases and stages of designing the database and expert system have been worked out. VAD data flow diagrams are presented. The description of the domain semantics is developed in the form of a system of functional and multi-valued dependencies between attributes of the conceptual model of the domain database. The database architecture has been developed. The developed specialized database of the integrated expert system for monitoring food quality indicators is a single information environment that provides information for automatic control of product quality indicators.