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文章摘要
云平台下全维度电力设备状态数据并行化处理技术
Parallel processing technology for full-scale power equipment state data under cloud platform
Received:October 17, 2018  Revised:October 17, 2018
DOI：10.19753/j.issn1001-1390.2020.09.011
中文关键词: 云计算  大数据  电力设备状态  并行处理
英文关键词: 
基金项目:
Author NameAffiliationE-mail
Liu Shunzhu* Shenzhen Power Supply Co.,LTD. srfgsgv546@163.com 
ZhangLin Shenzhen Power Supply Co.,LTD. srfgsgv546@163.com 
LvQishen Shenzhen Power Supply Co.,LTD. srfgsgv546@163.com 
MeiChunhua Shenzhen Comtop Information Technology Co.,LTD srfgsgv546@163.com 
WenDa Shenzhen Comtop Information Technology Co.,LTD srfgsgv546@163.com 
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中文摘要:
      数据集成和信息共享是建立智能电网的必然趋势，设备状态数据越来越多地被发送到控制中心，如何快速处理大量的历史数据和实时在线监测数据成为亟待解决的问题。结合开源云平台和大型数据处理技术，对电力设备运行状态监控数据进行并行处理和诊断研究。提出基于Spark内存技术的集合经验模型的分解并行算法EEMD，以补偿复杂场景处理中HDoop Map Reduce的不足。设计实现了两种不同结构的并行EEMD算法，并通过对比实验分析算法的性能。研究工作可为我国电力设备状态数据并行处理技术的发展提供一定的参考和借鉴。
英文摘要:
      
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