电力大数据的异构数据混合采集系统模型研究
Research on Heterogeneous Data Hybrid Collection System Model for Power Big Data
陈家璘 1查志勇 1詹伟 1陈铈 1吴耿1
作者信息
- 1. 国网湖北省电力有限公司信息通信公司,湖北武汉 430077
- 折叠
摘要
传统的数据仓库在构建时,存在许多的冗余数据,而且物联网系统存在重复部署,数据之间形成逻辑孤岛,从而降低数据运行效率.为此,研究一种基于电力大数据异构数据混合采集方案的电力数据仓库系统.构建一个统一管理的电力数据仓库,对电力企业管辖范围内的所有相关应用软件提供统一的数据服务;在SimuWorks平台下使用25个变电站近一年真实数据进行数据模拟,发现新方案可节约超过85％的数据仓库硬件设施,提升约82.7％的数据分析准确率,同时实现IDC机房超过50％的节能.使用该方案,数据管理算法得到充分简化,数据读写响应时间也得到了显著提升.结果表明,设计的异构数据混合采集系统模型能够提高数据管理效率和读写响应时间,从而提高数据的使用效果.
Abstract
Traditional data warehouses have a lot of redundant data during construction,and IoT systems have duplicate deployments,forming logical islands between data,thereby reducing data operational efficiency.For this purpose,a power data warehouse system based on a hybrid collection scheme for heterogeneous data of power big data was studied.A unified management of power data warehouse was built to provide unified data services for all relevant application software within the jurisdiction of power enterprises;using real data from 25 substations over the past year for data simulation on the Simu Works platform,it was found that the new solution can save over 85％of data warehouse hardware facilities,improve data analysis accuracy by approximately 82.7％,and achieve energy savings of over 50％in IDC unit rooms.Using the scheme,the data management algorithm has been fully simplified,and the data read and write response time has also been significantly improved.The results indicate that using the heterogeneous data mixed collection system model designed in this article can improve data management efficiency and read/write response time,thereby improving the effectiveness of data usage.
关键词
电力大数据/数据仓库/异构数据/混合采集/信息管理Key words
power big data/data warehouse/heterogeneous data/hybrid collection/information management引用本文复制引用
基金项目
中国南方电网有限责任公司科技项目(GDKJXM20190387)
出版年
2024
NETL
NSTL
万方数据