基于本体的火电机组故障知识和数据语义性建模  

SemanticModeling of Fault Knowledge and Data of Thermal Power Unit based on Ontology

作　　者：王仲 陈东超 韩旭东 WANG Zhong;CHEN Dong-chao;HAN Xu-dong(National Industrial Information Security Development Research Center;Northeast Electric Power University;Shenyang Jinshan Energy Co.,Ltd.)

机构地区：[1]国家工业信息安全发展研究中心 [2]东北电力大学 [3]沈阳金山能源股份有限公司

出　　处：《电站系统工程》2024年第3期22-25,共4页Power System Engineering

基　　金：国家自然科学基金青年科学基金项目(51906034);吉林省教育厅科学技术研究项目(JJKH20220105KJ)资助。

摘　　要：针对火电机组故障知识和数据类型多、关联关系复杂等问题,采用本体理论对故障知识和运行数据进行语义性建模,以促进故障知识和数据的整合、重用和共享,提高知识查询和推理的效率。首先,建立满足故障知识和数据多粒度语义性建模要求的本体,提出火电机组故障诊断场景下类、属性、个体的概念与关系;其次,基于本体SPARQL语言,提出了故障知识和数据的语义性查询模型;最后,以燃气-蒸汽联合循环机组为对象,利用Protégé软件建立了故障知识图谱,验证了故障知识和数据语义性查询的可行性,为火电机组运维领域的知识图谱与工业大数据平台的建立提供思路,也有助于支撑后续的智能诊断研究。Aiming at significant amount of fault knowledge and data types,and their complex correlation in thermal power units,a semantic modeling of fault knowledge and operational data based on ontology theory is built to promote the integration,reuse and sharing of fault knowledge and data,and then improve knowledge inquiry and reasoning.Firstly,an ontology that meets the multi-granularity semantic modeling requirements of fault knowledge and data is established,and the concepts and relationships of classes,attributes,and individuals in the fault diagnosis scenario of thermal power units are proposed.Secondly,a semantic query model for fault knowledge and data is proposed based on the ontology SPARQL language.Finally,taking the gas-steam combined cycle unit as the as the research object,the fault knowledge graph is established by using Protégésoftware.The feasibility of fault knowledge and data semantic query is verified,which provides ideas for the establishment of knowledge graphs and industrial big data platforms in the field of thermal power unit operation and maintenance,and also contributes to subsequent research on intelligent diagnosis.

关 键 词：火电机组 故障诊断 本体理论 语义性建模 知识图谱 

分 类 号：TK268[动力工程及工程热物理—动力机械及工程]