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Realization and Research of Intelligent system of client electricity information based on the Big Data Processing Technology

机译:基于大数据处理技术的客户电力信息智能系统的实现与研究

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摘要

Big data is the focus in power system currently. In order to analyze and classify the electricity model of clients, identify the avoiding peak space intelligently, extract value-added information of clients and control the electric load actively, it is extremely necessary to analyze the information of electricity clients and establish an intelligent system for electricity client information based on big data processing technology. A data collection method on client electricity information is proposed in this paper, which could be a security of client's electricity information. In order to improve the quality of data collection so as to consolidate the reliability of system information, distributed data processing platform based on Hadoop is designed to collect and process information of clients. On the basis of which, a software of intelligent system of client electricity information is designed as well, which consists of a series of intelligent clustering subsystems. The research results provide theoretical guidance for the application of big data processing technology in power system.
机译:大数据是当前电力系统的焦点。为了分析和分类客户的电力模型,识别避免峰值空间智能化,提取客户的增值信息并积极控制电负载,非常有必要分析电力客户的信息并建立智能系统基于大数据处理技术的电力客户信息。本文提出了一种关于客户电力信息的数据收集方法,这可能是客户的电力信息的安全性。为了提高数据收集的质量,以便巩固系统信息的可靠性,基于Hadoop的分布式数据处理平台旨在收集和处理客户端的信息。在其基础上,设计了一种客户端电信息的智能系统软件,这包括一系列智能聚类子系统。研究结果为应用大数据处理技术在电力系统中提供了理论指导。

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