[1]孙 超,常夏勤,王永贵,等.电力大数据多元数据采集监视技术研究与应用[J].计算机技术与发展,2020,30(07):180-185.[doi:10. 3969 / j. issn. 1673-629X. 2020. 07. 038]
　SUN Chao,CHANG Xia-qin,WANG Yong-gui,et al.Research and Application of Multi-source Data Acquisition Monitoring Technology for Power Big Data[J].,2020,30(07):180-185.[doi:10. 3969 / j. issn. 1673-629X. 2020. 07. 038]
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电力大数据多元数据采集监视技术研究与应用()

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
30
期数:
2020年07期
页码:
180-185
栏目:
应用开发研究
出版日期:
2020-07-10

文章信息/Info

Title:
Research and Application of Multi-source Data Acquisition Monitoring Technology for Power Big Data
文章编号:
1673-629X(2020)07-0180-06
作者:
孙 超; 常夏勤; 王永贵; 胡剑锋
南京南瑞继保电气有限公司,江苏 南京 211102
Author(s):
SUN Chao; CHANG Xia-qin; WANG Yong-gui; HU Jian-feng
NR Electric Engineering Co. ,Ltd. ,Nanjing 211102,China
关键词:
电力大数据; 多源数据; 分布式系统; 智能索引; 数据监视
Keywords:
big data for power system; multi-source data; distributed system; intelligent index; data monitoring
分类号:
TP311
DOI:
10. 3969 / j. issn. 1673-629X. 2020. 07. 038
摘要:
随着智能电网的蓬勃发展,电力系统中产生的数据也迅速增长,大数据技术在电网安全稳定运行的决策过程中起到的作用越发重要,然而各类数据的采集与集成的复杂度高稳定性差,缺乏有效的监视手段,成为制约大数据技术应用的一个主要障碍。 针对这种情况,研究面向电力大数据采集环境的监视技术,通过分布式采集代理架构实现对多源异构系统数据接入程序日志和运行信息的采集,通过弹性消息队列以及跨安全区和跨级传输代理实现海量监视数据的可靠安全传输,通过智能索引技术实现对数据库海量数据的快速检索和分析,为运维人员提供了良好的数据接入监视管理手段。该系统已经在南方电网公司广州供电局承接的 863 课题“基于大数据分析的城市电网设备状态评估系统开发与应用”中应用,实现了对课题示范工程接入的 22 个业务系统采集过程的监视。投运以来运行效果良好,能够快速、及时、准确地提供系统运行状态数据和告警,明显提高了运维人员的工作效率。
Abstract:
With the rapid development of smart grid,the data generated in power system also increases rapidly. Big data technology plays an increasingly important role in the decision-making process of safe and stable operation of power grid. But the high complexity,poor stability and   lack of effective monitoring means of data acquisition and integration have become a major obstacle to the application of large data technology. In view of this situation,the monitoring technology for large data acquisition environment of electric power is studied. The data access program log and operation information of multi-source heterogeneous system are collected by distributed acquisition agent architecture,elastic message queue with cross-security zone and cross-level transmission agent are used to achieve reliable and secure transmission    of massive monitoring data,and with intelligent indexing technology,the rapid retrieval and analysis of the massive data in the database is realized, which provides a means of data access monitoring and management for operation and maintenance staff. The system has been applied in 863 project “Development and application of equipment status assessment system for city power grid based on big data analysis”undertaken by Guangzhou Power Supply Bureau of China Southern Power Grid Corporation. It has achieved the monitoring of the acquisition process of 22 business systems connected to the demonstration project. Since operation, the system has worked well and can provide its operation status data and alarm quickly,accurately and just in time,obviously improving the efficiency of operation and maintenance staff.

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更新日期/Last Update: 2020-07-10