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A wide-area, wide-spectrum big data system

机译:广域,广谱的大数据系统

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Power system data undergo significant signal filtering and downsampling at measuring devices before being communicated to wide-area visualization and analysis applications. For these applications, such processing acts in part to reduce network bandwidth requirements while maintaining essential characteristics of the original signal. However, modern communications systems are advancing in their capacity, and the price of data storage continues to drop. The constraints under which existing systems were built are being mitigated. Meanwhile, the need for higher-resolution data across larger areas continues to increase. This paper discusses the design and implementation of a system that delivers wide-spectral bandwidth data with precise time stamps over a wide area. Processing steps, such as converting to phasor representation, are moved to receivers. The system architecture allows a broader utilization of power system data. Several applications are described. Construction of a test system, operating between several cities, is described, and performance results are shown.
机译:电力系统数据在传递给广域可视化和分析应用程序之前,在测量设备上经过大量的信号过滤和下采样处理。对于这些应用,这种处理部分地起到减少网络带宽要求的作用,同时保持原始信号的基本特性。但是,现代通信系统的容量正在不断提高,数据存储的价格继续下降。建立现有系统的限制正在减轻。同时,跨大区域对高分辨率数据的需求持续增长。本文讨论了一种系统的设计和实现,该系统可以在宽范围内提供具有精确时间戳的宽频谱带宽数据。处理步骤(例如转换为相量表示)将移至接收器。系统架构允许更广泛地利用电力系统数据。描述了几种应用。描述了在多个城市之间运行的测试系统的构建,并显示了性能结果。

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