一种高效的海量电力暂态数据索引方法

CHEN Yongyan

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一种高效的海量电力暂态数据索引方法

更新时间：2025-08-13

- 一种高效的海量电力暂态数据索引方法
- Automation of Electric Power Systems Vol. 39, Issue 14, Pages: 126-132(2015)
- 作者机构：
  
  昆明理工大学计算中心,云南省,昆明市,650051
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2015
- 稿件说明：
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CHEN Yongyan. [J]. Automation of electric power systems, 2015, 39(14): 126-132.
DOI：

CHEN Yongyan. [J]. Automation of electric power systems, 2015, 39(14): 126-132. DOI：

摘要

随着故障录波和行波装置的广泛应用和技术进步

IEEE COMTRADE 1999格式暂态数据(简称COMTRADE数据)已经呈现出海量化发展的趋势。如何对海量COMTRADE数据进行快速检索和分析也成为当前亟待解决的问题。文中研究并设计了一种高效的索引框架

该框架构建了以词对齐混合编码(WAH)为基础的位图索引

通过对COMTRADE数据构建元数据并建立相关索引

能够实现高速的电力数据检索

可以解决传统搜索技术的性能问题。该框架通过引入两阶段提交协议(2PC)来保证原始数据和元数据

元数据和索引文件的一致性。在与传统的MySQL关系数据库的比较测试中

所提方法性能更为优越

特别在对多维数据多条件和浮点数检索时

优势更为明显。该框架能够满足当前海量COMTRADE数据检索的需要

并可应用于电力行业其他大数据的存储检索和分析。

Abstract

With the wide application and technical progress of fault recording and travelling wave devices

the IEEE COMTRADE 1999 is apparently going massive. How to rapidly retrieve and analyze massive COMTRADE data has become a problem demanding prompt solution. An index framework based on word-aligned hybrid (WAH) bitmap for massive COMTRADE data and capable of solving the traditional indexing defect latency and delayed response is built. By introducing the two phase commit protocol (2PC)

the consistence between index and metadata

metadata and data is ensured. The test is done between bitmap based on WAH and MySQL

and the results show that the bitmap index based on WAH is more effective than MySQL’s

especially for multi-dimensional

multi-condition and floating-point COMTRADE data indexing. This index framework meets the need of COMTRADE data as well as those other big data of power industry. This work is supported by National Natural Science Foundation of China (No. U1202233

No. 51267009).

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基于递推算法的海量COMTRADE数据计算并行化

基于分布式文件系统的海量电能质量监测数据管理方案

海量COMTRADE数据并行解析算法

跨平台的海量波形数据并行绘制算法

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