Service impact analysis and visualization display based on massive real-time monitoring data

Junwen LIU; Shuo CUI; Xiaomeng LI; Zhihong LI; Yang LI

doi:10.11959/j.issn.1000-0801.2018121

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Service impact analysis and visualization display based on massive real-time monitoring data

Power information column | 更新时间：2024-06-05

- Service impact analysis and visualization display based on massive real-time monitoring data
- Telecommunications Science Vol. 34, Issue 3, Pages: 192-196(2018)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2018121
  CLC： TP311
- Published Online：2018-03，
  
  Published：20 March 2018
- 稿件说明：
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Junwen LIU, Shuo CUI, Xiaomeng LI, et al. Service impact analysis and visualization display based on massive real-time monitoring data[J]. Telecommunications science, 2018, 34(3): 192-196.
DOI：

Junwen LIU, Shuo CUI, Xiaomeng LI, et al. Service impact analysis and visualization display based on massive real-time monitoring data[J]. Telecommunications science, 2018, 34(3): 192-196. DOI： 10.11959/j.issn.1000-0801.2018121.

摘要

随着电力信息化进程的加快，电力信息系统、交互数据、资源体系也在不断增加。日常运行中所产生的海量数据，对系统运行和故障研判提出了严峻挑战。但传统监控方式只是简单地进行数据采集及无差别化记录，并没有从监控数据中提取规律性的有效信息，同时监控手段上也无法直观体现出系统物理层和业务层上的拓扑。通过对电网信息系统海量实时监控数据的采集，并对采集数据进行有效提取，形成信息的互相关联，建立了平台监控与上层业务之间的映射关系，实现了数据流的可视化展现。

Abstract

With the development of electric power informatization

electric power information systems

interactive data and resource systems are also increasing.The amount of data generated during daily operation

has been a serious challenge to system operation and fault judge.But the traditional way of monitoring is simply to carry out data collection and indifferentiated recording

but no effective information is extracted from the monitoring data

while the means of monitoring can't be intuitive to reflect the system physical layer and business layer topology.Through the collection of electric power information system massive real-time monitoring data

and the collected data for effective extraction

the formation of information was interrelated

the mapping relationship between platform monitoring and upper service was established

thus the visualization of data flow was realized.

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Keywords

references

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