摘要
针对电网调度数据类型多样,结构复杂,管理困难的问题,以构建电网本体知识库为基础,将电网设备、调度运行数据、电网专业术语进行统一知识建模,研究电网调度运行结构化与非结构化数据的存储、解析,及其数据间相互关联,归属及同义关系。根据电网本体推理规则找出本体之间潜在的关联关系。基于电网本体知识库、对结构化与非结构化采用倒排索引解析技术,最终研究电网调度数据的智能检索技术,在快速检索到相关数据的同时,找出数据间内在联系。最后以查询运行数据与分析电网事故为例,讨论了该技术的应用场景,以及未来对电网调度运行智能分析提供技术支撑。
In view of the type diversity, structure complexity and management difficulty of power grid dispatc- hing data, this paper builds unified model on grid equipment, dispatching operation data and power grid term by constructing ontology-based knowledge base. Further, we research the storage and analysis of structured and unstructured data and correlation, subordination and synonymy among the data in dispatching operating system. The potential correlation among ontology is derived from power grid ontology in[erence rules. Then the intelligent retrieval technology in power grid dispatching data is researched based on the ontology-based knowledge base, structured and unstructured data and inverted index analysis techniques, which can search the relevant data very fast and find out the internal relationship among data at the same time. Finally, taking quer- ying operating data and analyzing power grid accident as an example, we discuss the application scenarios of this technology, aiming to provide future technology support to intelligent analysis of power grid dispatching operation.
出处
《电力与能源》
2016年第1期1-6,共6页
Power & Energy
关键词
本体知识库
推理规则
非结构化
倒排索引
ontology-based knowledge base
inference rule
unstructured
inverted index