基于知识图谱技术的风电数据管理与应用研究

随着我国风电领域的发展,行业内产生的相关数据在来源和数量上都达到了一个新的高度。这些数据被分散在各个业务系统中,若能对其进行统一管理并应用,则对行业具有积极作用。提出了一种用知识图谱管理风电数据的方法。首先,从多源风电数据中抽取出实体、关系、属性等知识图谱元素。在此过程中,分别给出了针对结构化与非结构化数据的抽取方法。其次,将得到的元素在图形数据库Neo4j中构建出了风电数据全景知识图谱,实现了不同类型、业务数据间的贯穿统一。最后,通过故障推理、业务查询等典型案例与传统的基于关系型数据库的数据管理模式作对比,结果显示提出的方法具有较好的运用效果。

Research on management and application of wind power data based on knowledge graph technology

With the development of the wind power industry in China,data from the field has reached a new stage in terms of sources and magnitude.These data are scattered over each business system,and if they can be managed intensively and applied,they will be helpful to industry.A wind power data management method based on a knowledge graph is proposed.First,knowledge graph elements such as entity,relation and attribute are extracted from multi-source wind power data,and the extraction methods for structured and unstructured data are given.Then those elements are used to construct a panoramic knowledge graph of wind power data in the graph database Neo4j to achieve the connection between different types and business data.Finally,typical cases such as fault reasoning,business query,etc.are compared with the traditional relational database-based data management mode.The results show that the proposed method is good in application.