摘要
本文针对智能电网大数据场景下传统的可视化方法处理能力和信息表达能力不足的问题展开研究,目的是通过现有先进的可视化手段将电力大数据中蕴藏的关系和规律更直观的呈现出来。本文选取了电力大数据分类监视、输变电设备状态,电网运行、用户用电,气象环境等电力大数据应用场景,寻找用户数据使用痛点并明确分析目标,收集并调研目标的可能影响因素后建立相应的分析模型,为各个场景设计相匹配的可视化技术方案,并着重分析了方案的特色和优势。本文将最新的网络可视化、时空数据可视化、多维数据可视化和Web GIS可视化等Web可视化技术应用到电网大数据展示场景中,为电网大数据应用场景的可视化提供了参考和有益实践,大大提升了电力大数据的利用率和价值。
This paper focuses on the problem of the traditional data visualization methods and the lack of information expression ability in the smart grid big data scenario. The purpose is to present the relationships and rules in the power big data more intuitively through the existing advanced visualization methods. This paper chooses the application scenarios of big data of electric power,such as classified monitoring of big data of electric power,status of transmission and transformation equipment,operation of electric power network,power consumption of users,meteorological environment,etc. It seeks the pain points of user data usage and makes clear the analysis target,collects and investigates the possible influencing factors of the target,establishes the corresponding analysis model,and designs the phases for each scenario. The matching visualization technology scheme is presented,and the characteristics and advantages of the scheme are emphatically analyzed. In this paper,the latest Web visualization technologies,such as network visualization,spatio-temporal data visualization,multi-dimensional data visualization and Web GIS visualization,are applied to the large data display scenario of power grid,which provides a reference and useful practice for the visualization of large data application scenario of power grid,and greatly improves the utilization rate and value of big data of power grid.
作者
潘玉春
胡剑锋
朱玉付
PAN Yuchun;HU Jianfeng;ZHU Yufu(NR Electric CO. ,Ltd. ,Nanjing 211102 Jiangsu,China)
出处
《电力大数据》
2019年第3期8-12,共5页
Power Systems and Big Data
关键词
可视化
电力大数据
多维信息
平行坐标
visualization
power big data
multidimensional in formation
parallel coordinates
