Application research of energy data acquisition and analysis based on real-time stream processing platform

Kunming Li, Cong Ji, Chunlin Zhong, Fei Zheng, Jun Shao
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引用次数: 1

Abstract

In the context of national energy-saving emission reduction strategy, the user energy efficiency has become a hot topic in academia and the business community. In order to solve the problems of large amount of data and fast changing speed in real-time transmission terminal equipment, it has strict requirement for processing timeliness. We need to introduce distributed real-time data, high-speed synchronization, acquisition and processing and analysis technology to build a real-time flow processing platform. Real-time stream processing platform uses message queue (Kafka) to receive data from different real-time sources, and the back-end uses stream processing technology (Storm) to analyze real-time data.
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基于实时流处理平台的能源数据采集与分析应用研究
在国家节能减排战略的背景下,用户能效问题已成为学术界和企业界的热门话题。为了解决实时传输终端设备中数据量大、变化速度快的问题,对处理的时效性有严格的要求。我们需要引入分布式实时数据、高速同步、采集和处理分析技术,构建实时流处理平台。实时流处理平台使用消息队列(Kafka)接收来自不同实时源的数据,后端使用流处理技术(Storm)分析实时数据。
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