Construction of Hierarchical Knowledge Graph Based on Electromechanical Equipment

Yajian Zeng, Xiaorong Hou
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Abstract

The purpose of constructing the knowledge graph of electromechanical equipment is to make full use of the data and information carried by electromechanical equipment, constructing the knowledge association between each independent equipment. The knowledge graph of electromechanical equipment uses a structured way to express the relationship between concepts and entities in electromechanical equipment, and uses this form for data storage and computational reasoning. This can simplify the design of the electromechanical system and improve the efficiency of knowledge reasoning and knowledge calculation. However, due to the complex structure, high correlation and large amount of information of electromechanical equipment, the constructed knowledge graph of electromechanical equipment often has the problem of insufficient association expression and sparse information. Especially lack of expression of its hierarchical relationship. Therefore, this paper proposes a hierarchical relationship construction method based on electromechanical equipment, which is specifically used to extract the information about the physical model, logical model and geometric model of power distribution equipment, electrical equipment, cables, and pipelines in electromechanical equipment, constructing a Hierarchical knowledge graph. The hierarchical relationship construction method is mainly through the integration of logical and physical levels, hierarchical structure of electromechanical equipment data and data clustering as an important feature, so as to obtain stable and hierarchical characteristics of electromechanical equipment knowledge graph. At the same time, the hierarchical features can further complete the construction of the knowledge graph, thereby improving the structure of the knowledge graph and efficiency of the reasoning engine.
基于机电设备的层次知识图构建
构建机电设备知识图谱的目的是充分利用机电设备所承载的数据和信息,构建各独立设备之间的知识关联。机电设备知识图谱采用结构化的方式来表达机电设备中概念与实体之间的关系,并利用这种形式进行数据存储和计算推理。这样可以简化机电系统的设计,提高知识推理和知识计算的效率。然而,由于机电设备结构复杂、关联度高、信息量大,所构建的机电设备知识图谱往往存在关联表达不足、信息稀疏的问题。尤其是缺乏对其等级关系的表达。为此,本文提出了一种基于机电设备的层次关系构建方法,具体用于提取机电设备中配电设备、电气设备、电缆、管道的物理模型、逻辑模型、几何模型等信息,构建层次知识图。层次关系构建方法主要是通过逻辑和物理层的集成,将机电设备数据的层次结构和数据聚类作为重要特征,从而获得具有稳定和层次特征的机电设备知识图谱。同时,层次特征可以进一步完成知识图的构建,从而提高知识图的结构和推理引擎的效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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