关键词: 风电设备, 情境知识图谱, 情境语义约束, 可视化交互引擎, 形状约束语言

Abstract: Traditional methods for constructing knowledge graphs didnt consider the contextual constraints on knowledge, making it challenging to effectively represent the complex associative relationships among vast knowledge in complex electromechanical equipment like wind turbines. This limitation hindered the practical applications of knowledge graphs in the production processes. This paper proposed a method for constructing a context-aware knowledge graph tailored for wind turbine equipment. Initially, the method extracted contextual knowledge, module meta-knowledge, and module instance knowledge generated from project customization. Utilizing the SHACL, an ontology model was constructed, incorporating context paths and attribute value constraints, thereby precisely characterizing and extracting various knowledge types. Furthermore, an ontology parsing-based algorithm is introduced for visualizing contextual knowledge subgraphs. Through the parsing of contextual knowledge classes within the ontology, data observation windows were generated for each contextual class, facilitating the construction of multi-dimensional visualization interactions tailored to specific scenarios. Through practical applications, the proposed method effectively integrates module meta-knowledge with project-specific module instance knowledge, meeting the demands for precise representation and diverse application scenarios in wind turbine equipment knowledge.

Key words: wind power equipment, contextual knowledge graph, contextual semantic constraint, visualization interaction engine, shape constraint language(SHACL)