CASPIAN JOURNAL
MANAGEMENT AND HIGH TECHNOLOGIES
SELECTION OF THE KNOWLEDGE REPRESENTATION MODEL FOR THE INTELLECTUAL QUALITY MANAGEMENT SYSTEM OF PART PROCESSING IN PCB PRODUCTION
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Read | Bolshakov Aleksandr A., Malyy Lev V. SELECTION OF THE KNOWLEDGE REPRESENTATION MODEL FOR THE INTELLECTUAL QUALITY MANAGEMENT SYSTEM OF PART PROCESSING IN PCB PRODUCTION // Caspian journal : management and high technologies. — 2019. — №2. — pp. 30-40. |
Bolshakov Aleksandr A. - Doct. Sci. (Engineering), Professor, Saint-Petersburg State Institute of Technology, aabolshakov57@gmail.com
Malyy Lev V. - post-graduate student, Saint-Petersburg State Institute of Technology, lev.malyy@gmail.com
The cause of defects in printed circuit boards is mainly in non-compliance with technology or the imperfection of their production. To reduce emerging defects and optimize production processes, the development of an intelligent decision support system for managing the quality of processing work pieces in the production of printed circuit boards becomes urgent. The basis of the developed decision support system becomes the knowledge representation model and its software implementation, since it is one of the modules of the expert system for informing the production line operator about the causes of the arising defects and explaining how to avoid their development in the future. For this purpose, an analytical review of the subject area of printed circuit board production with the identification of the main characteristics of quality control was performed. Based on this review, the main objectives and knowledge management system requirements have been developed, which are used to monitor decision support system. A review of existing knowledge representation models was made and based on the generated requirements, a selection was made of a model that meets the requirements for ensuring aggregation, classification and systematic description of knowledge, ensuring the possibility of updating and reusing them, as well as the tasks to accumulate and systematize actual knowledge about defects, with the possibility of constant expansion of information, providing functionality for filtering and semantic search for knowledge and others. A review of the existing ontology development tools with the subsequent selection of the ProtГ©gГ© software package based on the comparative characteristics of the systems is made, and with its use a model for representing knowledge about defects in the printed circuit board pattern has been developed for later use in the expert system.
Key words: печатная плата, дефекты, модели представления знаний, онтология, система поддержки принятия решений, информационные технологии, printed circuit board, defects, knowledge representation models, ontology, decision support system