[1]滕爱国,单新文,王鹏飞,等.基于 Hadoop 平台电力数据服务匹配查询性能研究[J].计算机技术与发展,2020,30(09):182-187.[doi:10. 3969 / j. issn. 1673-629X. 2020. 09. 033]
　TENG Ai-guo,DAN Xin-wen,WANG Peng-fei,et al.Research on Matching Query Performance of Power Data Service Based on Hadoop Platform[J].,2020,30(09):182-187.[doi:10. 3969 / j. issn. 1673-629X. 2020. 09. 033]
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基于 Hadoop 平台电力数据服务匹配查询性能研究()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
30
期数:
2020年09期
页码:
182-187
栏目:
应用开发研究
出版日期:
2020-09-10

文章信息/Info

Title:
Research on Matching Query Performance of Power Data Service Based on Hadoop Platform
文章编号:
1673-629X(2020)09-0182-06
作者:
滕爱国; 单新文; 王鹏飞; 陶晔波; 闾 龙; 顾玉皎
国网江苏省电力有限公司,江苏 南京 210016
Author(s):
TENG Ai-guo; DAN Xin-wen; WANG Peng-fei; TAO Ye-bo; LYU Long; GU Yu-jiao
State Grid Jiangsu Electric Power Co. ,Ltd. ,Nanjing 210016,China
关键词:
电网大数据; Hadoop; 查询; 服务匹配; RDF
Keywords:
grid big data; Hadoop; query; service matching; RDF
分类号:
TP39
DOI:
10. 3969 / j. issn. 1673-629X. 2020. 09. 033
摘要:
电网大数据的数据结构复杂、种类繁多,除传统的结构化数据外,还包含大量的半结构化、非结构化数据,如服务系统的语音数据,检测数据中的波形数据、直升机巡检中拍摄的图像数据和地理信息数据等。 针对电力大数据的复杂性和地理图数据在服务匹配查询中困难的问题,提出一种基于描述逻辑的匹配模型,该模型的描述逻辑包括 TBox 和 ABox,其方法是将个体和整体分开进行量化。 在匹配用户输入本体数据库时,该模型采取正式化信息域作为类和实例,同时基于 RDF 框架的描述逻辑将结构化数据转换为 DL。 该模型通过 Hadoop 组件生成 SPARQL 查询语言,然后查询语言与Mongodb 匹配输出查询处理结果。 最后基于实际数据进行大量对比实验,结果证明了该模型提供了最小的搜索时间和最佳的匹配准确度。
Abstract:
The data structure of power grid big data is complex and diverse. In addition to the traditional structured data,it also contains a large amount of semi-structured and unstructured data,such? ?as voice data of service system,waveform data in detection data,image data and geographic information data that helicopter captured. Aiming at the complexity of power big data and the difficulty of geographic map data in service matching query,we propose a matching model based on description logic,including TBox and ABox,which is to quantify the individual and the whole separately. When matching the user input ontology database, the model takes the formalized information domain as a class and instance, and converts the structured data into DL based on the description logic of the RDF framework. It generates a SPARQL query language through Hadoop components, and then the query language matches Mongodb to output query processing results. Finally, a large number of experiments are carried out based on actual data. It is showed that the proposed system model provides the minimum search time and the best matching accuracy.

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更新日期/Last Update: 2020-09-10