电能质量扰动数据压缩系统的分割与熵编码分析

2020 Workshop on Communication Networks and Power Systems (WCNPS) Pub Date : 2020-11-12 DOI:10.1109/WCNPS50723.2020.9263733

L. Gontijo, André N. de O. Sol, F. A. O. Nascimento

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引用次数: 1

摘要

在电力系统监测结构产生的海量数据中，对更好的数据存储和数据流的需求应运而生。本文对这一问题进行了描述，并提出了解决方法。将信号处理方法应用到电能质量领域，可以对电力信号进行压缩和分割。在处理管道中应用小波变换和熵编码器等变换来减少传输数据所需的带宽。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Segmentation and Entropy Coding Analysis of a Data Compression System for Power Quality Disturbances

Amidst the huge data generated from power systems monitoring structures, the demand for better data storage and streaming emerged. In this paper the problem is characterized and a solution is proposed. Utilizing signal processing methods into the field of energy quality, is possible to compress and segment the power signal. Transformations such as wavelets transforms and entropy encoders are applied in a processing pipeline to reduce the bandwidth necessary to transfer the data.

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2020 Workshop on Communication Networks and Power Systems (WCNPS)

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