|本期目录/Table of Contents|

[1]荣莉莉,李群,于振.基于电力历史应急大数据的应急情景规则分析与发现方法研究[J].中国安全生产科学技术,2019,15(5):30-35.[doi:10.11731/j.issn.1673-193x.2019.05.005]
　RONG Lili,LI Qun,YU Zhen.Study on analysis and discovery methods of emergency scenario rules based on big data of electric power historical emergency[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2019,15(5):30-35.[doi:10.11731/j.issn.1673-193x.2019.05.005]
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基于电力历史应急大数据的应急情景规则分析与发现方法研究
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《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
15
期数:
2019年5期
页码:
30-35
栏目:
学术论著
出版日期:
2019-05-31

文章信息/Info

Title:
Study on analysis and discovery methods of emergency scenario rules based on big data of electric power historical emergency
文章编号:
1673-193X(2019)-05-0030-06
作者:
荣莉莉1; 李群1; 于振2
（1.大连理工大学 系统工程研究所，辽宁 大连 116024；
2.全球能源互联网研究院，北京 102209）
Author(s):
RONG Lili1;  LI Qun1;  YU Zhen2
(1. Institute of Systems Engineering, Dalian University of Technology, Dalian Liaoning 116024, China;
2. Global Energy Interconnection Research Institute Co., Ltd., Beijing 102209, China)
关键词:
大数据; 电力历史突发事件; 应急情景规则; 数据挖掘
Keywords:
big data;  electric power historical emergencies;  emergency scenario rule;  data mining
分类号:
X915.4
DOI:
10.11731/j.issn.1673-193x.2019.05.005
文献标志码:
A
摘要:
为了解决电力突发事件演化过程难于预测，进而导致事件应急缺少针对性，较为被动的问题，提出在现有应急预案指导、事故模拟仿真、事故案例经验总结等方法基础上，引入基于电力历史大数据分析与预测的应急情景规则分析与发现方法，将电力应急突发事件情景构建的结果与相关大数据预测模型（汇总统计、分类与预测）相结合，提出科学、合理且具有良好操作性的情景演化规则的获取方法与技术路线，为进一步提高复杂电力突发事件的应急处置与指挥能力提供技术支撑。
Abstract:
In order to solve the problem that the evolution process of electric power emergencies is difficult to predict, which causes the lacking of pertinence and passiveness in the emergency of events, the analysis and discovery methods of emergency scenario rules based on the analysis and prediction of the electric power historical big data were introduced on the basis of the existing emergency plan guidance, accident simulation and experience summary of accident cases. The results of scenario construction on the electric power emergencies were combined with the related prediction model of big data (summary statistics, classification and prediction), and the acquisition method and technical route of scenario evolution rules being scientific, reasonable and operable were put forward, which provide the technical support for further improving the emergency disposal and command abilities of complex electric power emergencies.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期： 2018-07-23
基金项目： 国家电网公司总部科技项目(基于大数据的电力应急辅助决策关键技术研究)
作者简介： 荣莉莉，博士，教授，主要研究方向为系统工程、应急管理。
更新日期/Last Update: 2019-06-11