基于云平台的电力大数据多角度可视化分析与研究

发布时间：2018-04-02 02:23

本文选题：可视化　切入点：SVG　出处：《华北电力大学(北京)》2017年硕士论文

【摘要】：随着计算机技术以及电力系统的发展,各类设备以及电网系统所产生的数据也急剧增加,使得以往的数据展示方式不再能满足人们的需求。数据的可视化展示可以让人们在获取信息的同时,了解到更多的隐藏在数字背后的信息,而多角度的可视化能够让人更加直观、全面的了解数据本身以及数据之间的信息。针对电力大数据种类繁多、数据量庞大以及实时性强等特点,本论文采用了Mysql和Redis两种数据库来对电力大数据进行存储。利用Redis内存数据库的优势,对实时数据进行存储,再结合Mysql关系型数据库的容量大、易于维护等特性对非实时性数据进行存储。通过两种数据库的结合以及优势互补,为可视化展示提供了数据支持。本论文结合上诉电力大数据的特点,研究并实现了三种可视化展示方法,分别为:基础图表可视化、SVG可视化以及地图可视化。其中,对于SVG可视化,本论文提出了基于分层思想的SVG可视化展示方法,丰富了SVG动态展示功能。地图可视化借助了GIS地理信息系统的理念,将电力系统中的各项数据通过地图插件来进行显示,同时通过在地图上进行的各项操作及数据展示,达到多角度可视化的目的。最后,本论文的研究成果在需求响应云平台中得到了具体实现,完成了对各类电力大数据的提取、分析及展示的功能,并通过不同的可视化展示技术,实现了多角度可视化的功能。
[Abstract]:With the development of computer technology and power system, the data produced by all kinds of equipments and power grid systems have increased dramatically. So that the past data display can no longer meet the needs of the people. The visual display of data can allow people to obtain information, at the same time, to learn more information hidden behind the number, The multi-angle visualization can make people understand the data itself and the information between the data more intuitively, aiming at the characteristics of big data, such as the variety of power, the huge amount of data and the strong real-time, etc. In this paper, Mysql and Redis are used to store power big data. The advantage of Redis memory database is used to store real time data, and the capacity of Mysql relational database is large. Easy to maintain and other characteristics to store non-real-time data. Through the combination of two databases and complementary advantages, provide data support for visual display. Three visualization methods are studied and implemented, which are basic chart visualization and map visualization. For SVG visualization, this paper proposes a SVG visualization method based on layered theory. It enriches the dynamic display function of SVG. With the help of the idea of GIS GIS, map visualization displays all kinds of data in power system through the map plug-in, at the same time, through the operation and data display on the map. Finally, the research results of this paper are realized in the demand response cloud platform, and the functions of extracting, analyzing and displaying big data are completed. And through the different visualization display technology, has realized the multi-angle visualization function.
【学位授予单位】：华北电力大学(北京)
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TP311.13;TM73

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