1st International ICST Workshop on Knowledge Discovery and Data Mining

Research Article

Ontology-based Research on Wind Power Plant Information Interaction

  • @INPROCEEDINGS{10.4108/wkdd.2008.2638,
        author={Yong-li Zhu and Xin-ying Wang and Dong-ling Cheng},
        title={Ontology-based Research on Wind Power Plant Information Interaction},
        proceedings={1st International ICST Workshop on Knowledge Discovery and Data Mining},
        publisher={ACM},
        proceedings_a={WKDD},
        year={2010},
        month={5},
        keywords={},
        doi={10.4108/wkdd.2008.2638}
    }
    
  • Yong-li Zhu
    Xin-ying Wang
    Dong-ling Cheng
    Year: 2010
    Ontology-based Research on Wind Power Plant Information Interaction
    WKDD
    ACM
    DOI: 10.4108/wkdd.2008.2638
Yong-li Zhu1,*, Xin-ying Wang1,*, Dong-ling Cheng1,*
  • 1: School of Computer Science and Technology, North China Electric Power University, Baoding, China.
*Contact email: Zyl2056@ncepubd.edu.cn, wangxinying@126.com, chdongling@163.com

Abstract

At present, wind power industry has developed rapidly in our country, and has also promoted the step of wind power plant information construction. But in this process, it’s impossible to set up a uniform wind power plant management information system using conventional technology and method, because the wind power plant’s devices span a long time, have many categories and the information model and communication protocol are also diverse in different wind turbines. Thus, this paper imports knowledgesharing- based ontology semantic technology, builds the ontology on the basis of wind power plant information model and describes it using OWL. It achieves the wind power plant information sharing, interaction and procession at the semantic level, and provides a new method to build a uniform wind power plant management information system.