摘要
电网技改大修项目管理数据库对视频图像以及文件的存储量低,存储平台无法承受大量访问,为此研究基于云技术的电网技改大修项目管理数据可视化平台构建。在硬件设计方面,多层次并行处理不同粒度大小的数据,实现多流数据传输和GPU运算。在软件设计方面,建立电网技改大修项目管理数据可视化演示模块,来更新和保存用户数据;建立电网技改大修项目管理数据平台的云技术分析模块,分析数据存储价值,节约费用成本。实验测试分成2个阶段,在数据采集通信测试中,用户从MapReduce模式处理时间快,CPU占用率低,运行稳定;在分布式数据存储性能测试中,在相同条件下,用户从MapReduce模型处理线程的写入能力和读取能力性能最好。
The storage of video images and files in the management database of power grid technical reformation and overhaul projects is low,and the storage platform cannot withstand large-scale visits.This paper studies the construction of a visualization platform which is based on cloud technology and is applicable for management data of power grid technical reformation and overhaul project.In the aspect of hardware design,multi-level parallel processing of data with different granularity can realize multi-stream data transmission and GPU operation.In terms of software design,a visual demonstration module and a cloud-technology-based analysis module for management data of power grid technical transformation and overhaul project are established,to update and save user data,and to analyze the value of data storage and save costs,respectively.The experimental test is divided into two stages.In the data acquisition communication test,the user′s processing under MapReduce mode is fast,the CPU usage is low,and the operation is stable;during the distributed data storage performance test,under the same conditions,the best performance is obtained when the user write and read threads from the MapReduce model.
作者
王宇超
余茜
於鑫磊
张晨波
斯楚婷
WANG Yuchao;YU Qian;YU Xinlei;ZHANG Chenbo;SI Chuting(Zhejiang Huayun Power Engineering Design Consulting Co.,Ltd.,Hangzhou 310000,China)
出处
《电工技术》
2023年第18期162-164,168,共4页
Electric Engineering
关键词
云技术
项目管理
数据可视化
电网
cloud technology
project management
data visualization
power grid
