基于Hadoop的电力大数据智能处理平台设计

Guanhao Gao
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引用次数: 0

摘要

为了提高对海量电力数据的并行处理和规划能力,提出了一种基于Hadoop框架开发的海量电力数据智能处理平台。研究包括数据处理模块、数据加载模块、总线控制模块和人机交互模块,构建电力领域大数据并行处理集成数据库模型。仿真试验结果表明,本研究开发的智能电力大数据处理平台能够有效地将数据挖掘与资源规划能力相结合,进一步提高电力大数据综合处理能力,为电力大数据的高效管理与分析提供了一种高效解决方案的新思路,这对电力系统的发展至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design of Intelligent Processing Platform for Electric Big Data in Hadoop
In order to improve the capabilities of parallel processing and planning of large volumes of electricity data, an intelligent platform for processing large volumes of electricity data developed on the basis of the Hadoop framework is proposed. The research includes a data processing module, a data loading module, a bus control module, and a human-machine interaction module to build an integrated database model for the parallel processing of big data in the field of electricity. The results of the simulation tests show that the intelligent big electricity data processing platform developed in this study can efficiently combine data mining and resource planning capabilities, further improve the integrated big electric data processing capability, and provide a new idea for an efficient solution for the efficient management and analysis of big electricity data, which is crucial for the development of electric systems.
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