Ontology-based Automatic Mapping Technology for Heterogeneous Common Information Model
Common Information Model (CIM) provides a unified information model for distribution automation, which is the premise for interactive information of smart distribution network. However, with the rapid update and private extension of CIM, the information models of different systems may remain heterogeneous and make information exchange difficult. Traditional solution costs too much human efforts to accomplish differences analysis work. This paper based on ontology model proposed a mapping algorithm to automatically map heterogeneous CIM. With only very few manual review, it can provide mapping solution for heterogeneous model transformation efficiently, which benefits the integration of heterogeneous distribution information model. The accuracy of proposed algorithm has also been verified through test case.
CIM Distribution Network Information Integration Model Mapping
Zhang Hong Liu Dong Lu Yiming Lv Guangxian Wang Kairui Xiong Xiaofang
Shanghai Jiao Tong University,Shanghai,200240,China China Electric Power Research Institute,Beijing,100192,China State Grid Jiangxi Electric Power Company Nanchang Branch,Jiangxi,330000,China
国际会议
西安
英文
1-5
2016-09-01(万方平台首次上网日期,不代表论文的发表时间)