电力系统自动化2009，Vol.33Issue(14)：56-60,5.
跨平台的海量波形数据并行绘制算法
A Cross-platform Parallel Painting Algorithm for Massive Waveform Data
桂勋 1姚兰 2钱清泉3
作者信息
- 1. 电子科技大学空天科学技术研究院,四川省成都市,610054
- 2. 成都信息工程学院控制工程系,四川省成都市,610225
- 3. 西南交通大学电气工程学院自动化研究所,四川省成都市,610031
- 折叠
摘要
Abstract
Since the current third party power system analysis software is low efficient and slow in printing massive waveform data, a cross-platform massive wave COMTRADE data parallel painting algorithm are proposed, based on the parallel multi-core computing technology, on the basis of the internal relationship of tradition serial painting system, a new relationship based on the parallel printing is presented in the algorithm, the original single layer is divided into waveform layer and user control layer, the waveform layer "is printed in parallel mode and the final printing is done by the way of image composition. By analyzing the printing technologies of Windows and Unix, QImage+ Qpainter is found to be the most suitable cross-platform technology for massive waveform parallel painting. Each step of the parallel printing algorithm is elaborated with a cross-platform thread library named Pthreads. the workload sharing formulas are given which can make channel printing thread run load balancing. The pseudo-code of the channel painting thread and image composition algorithms are presented in detail. Test results show that the proposed parallel printing algorithm has a high acceleration ratio and even linear acceleration ratio with the increasing of printing workload and central process unit (CPU) core number.关键词
COMTRADE/海量数据/并行绘制/QT4/PthareadsKey words
common format for transient data exchange (COMTRADE) / massive data/ parallel painting/ QT4/ Pthreads分类
信息技术与安全科学引用本文复制引用
桂勋,姚兰,钱清泉..跨平台的海量波形数据并行绘制算法[J].电力系统自动化,2009,33(14):56-60,5.
