基于HBase的小集群风电SCADA系统高效数据存取算法研究  

Research on an Efficient Data Access Algorithm for Small Cluster Wind Power SCADA System Based on HBase

作　　者：陈敏 汤晓安[2] 刘行 谢鑫 CHEN Min;TANG Xiao-an;LIU Xing;XIE Xin(School of Electronic Information,Hunan University of Information Technology,Changsha 410151,China;College of Electronic Science,National University of Defense Technology,Changsha 410073,China;Changsha Technology Research Institute of BeiDou Safety,Changsha 410205,China)

机构地区：[1]湖南信息学院电子信息学院,长沙410151 [2]国防科技大学电子科学学院,长沙410073 [3]长沙北斗产业安全技术研究院,长沙410205

出　　处：《自动化与仪表》2020年第12期7-11,共5页Automation & Instrumentation

基　　金：湖南省教育厅科学研究重点项目(20A351);湖南省自然科学基金项目(2019JJ50413);湖南省教育厅北斗专项课题(湘教通[2019]216)。

摘　　要：现阶段风力发电行业以中小型风力发电厂为主,随着数据监控升级,数据量大量增加,这些部门原有传统的数据库系统及数据存取方法已无法满足其高性能数据存取需求。针对中小型风力发电厂当前的小集群、低成本背景开展高效数据存取算法研究。以大数据存储平台HBase为载体,对现有多种Hbase数据存取方法的性能进行深入研究和对比分析,综合使用Hbase API、批量存取与多线程等技术,创新性地设计出一个适用于小集群低成本的风电SCADA系统的高效数据存储算法,并对之进行了算法实现与系统应用。应用表明,该算法性能高效,能够满足小集群风电SCADA系统的数据存取需要,因而具有较好的工程推广价值。At present,the wind power industry is dominated by small and medium-sized wind power plants.With the upgrading of data monitoring and the large increase of data volume,the traditional database system and data access methods of these departments can no longer meet their high-performance data access requirements.Aiming at the current small cluster and low cost background of small and medium-sized wind power plants to carry out efficient data access algorithm research.This paper takes HBase as the carrier,uses batch access and multithreading technology to innovatively design a high-efficiency storage algorithm of low-cost wind power SCADA system which is suitable for small cluster.The application shows that the algorithm has high performance and can meet the data access needs of small cluster wind power SCADA system,so it has good engineering promotion value.

关 键 词：小集群 风电数据采集与监控系统 HBASE 高性能 大数据 

分 类 号：TM769[电气工程—电力系统及自动化]