Construction a knowledge base of a CAD system for neutralizing emissions from energy source enterprises and production enterprises

The development of a computer-aided design (CAD) system for neutralizing emissions from energy source enterprises and production enterprises requires the creation of an appropriate knowledge base. This article discusses the construction of such a knowledge base and its application in CAD system for neutralizing emissions from energy source enterprises and production enterprises. Using development tools such as Protégé (Java), PyCharm (Python) and Navicat (MySQL), a knowledge base and a client platform for the CAD system for neutralizing emissions from energy source enterprises and production enterprises were developed. A key technical framework for building the CAD system for neutralizing emissions from energy source enterprises and production enterprises knowledge base is developed, covering the main aspects of knowledge acquisition, representation and dynamic updating. The accuracy and efficiency of knowledge retrieval were significantly enhanced through ontological modeling, which enabled the analysis of associations within diverse datasets. During the development of the knowledge base, logical inference rules were created and transformed into a knowledge graph model. This approach, combined with the dynamic characteristics of the knowledge graph, facilitates continuous updating of the knowledge base. The practical value of applying the knowledge base in complex scenarios was validated through its implementation in the system for neutralizing emissions from energy source enterprises and production enterprises. The developed knowledge base is an integral component of the CAD system for neutralizing emissions from energy source enterprises and production enterprises, aimed at addressing emission-related challenges. The CAD system for neutralizing emissions from energy source enterprises and production enterprises knowledge base solves the key problems of knowledge fusion, data migration and reasoning validity, and provides theoretical support and technical path for building an intelligent and scalable CAD system for neutralizing emissions from energy source enterprises and production enterprises knowledge service system.

Authors: R. I. Solnitsev, Lei Wang, S. A. Kuzmin, V. L. Klenin, M. S. Mikhailov

Direction: Informatics, Computer Technologies And Control

Keywords: CAD, system for neutralizing emissions from energy source enterprises and production enterprises, knowledge base, ontology, logical rule, knowledge graph

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