|本期目录/Table of Contents|

[1]马明焕,王新浩,许晓辉,等.基于数据挖掘技术的事故隐患预警方法研究[J].中国安全生产科学技术,2017,13(7):11-17.[doi:10.11731/j.issn.1673-193x.2017.07.002]
　MA Minghuan,WANG Xinhao,XU Xiaohui,et al.Research on early-warning method of potential safety hazard based on data mining techniques[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2017,13(7):11-17.[doi:10.11731/j.issn.1673-193x.2017.07.002]
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基于数据挖掘技术的事故隐患预警方法研究
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《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
13
期数:
2017年7期
页码:
11-17
栏目:
学术论著
出版日期:
2017-07-31

文章信息/Info

Title:
Research on early-warning method of potential safety hazard based on data mining techniques
文章编号:
1673-193X(2017)-07-0011-07
作者:
马明焕1; 王新浩2; 许晓辉1; 罗云2; 杨凌3
（ 1.国网吉林省电力有限公司，吉林 长春 130000；2.中国地质大学(北京) 工程技术学院，北京 100083； 3.国网吉林省电力有限公司 延边供电公司，吉林 延吉 133000）
Author(s):
MA Minghuan1;  WANG Xinhao2;  XU Xiaohui1;  LUO Yun2;  YANG Ling3
(1. State Grid Jilin Province Power Company Limited, Changchun Jilin 130000, China; 2. School of Engineering and Technology, China University of Geosciences-Beijing, Beijing 100083, China; 3. Yanbian Power Supply Company, State Grid Jilin Province Power Company Limited, Yanji Jilin 133000, China)
关键词:
事故隐患; 隐患辨识; 隐患整改; 数据挖掘; 等价类变换算法; 变化挖掘算法
Keywords:
potential safety hazard;  potential safety hazard investigation;  potential safety hazard rectification;  data mining;  equivalence class transformation algorithm;  change mining algorithm
分类号:
X913
DOI:
10.11731/j.issn.1673-193x.2017.07.002
文献标志码:
A
摘要:
为改良企业既有隐患排查治理方法，提高辨识效率，提升整改效果，应用并优化数据流滑动窗口模型、等价类变化算法、变化挖掘算法等数据挖掘技术，构建1种关联隐患预警方法，该方法以企业历史隐患数据为基础，通过挖掘实时隐患数据的关联规则，发布关联隐患的类型、存在可能性和变化模式等预警信息，指导企业进行针对性排查和整改。最后，以72家安全管理性质相似企业的28 957项隐患数据为例，验证该方法可行性。研究结果表明：该方法不但能挖掘关联隐患类型及其变化模式，而且预警准确率随置信度水平提升而不断提高。
Abstract:
In order to improve the existing investigation and control methods of potential safety hazard in enterprise, increase the identification efficiency and the rectification effect, an early-warning method of associated potential safety hazard was constructed by applying and optimizing the data stream sliding window model, the equivalence class transformation algorithm, the change mining algorithm and other data mining techniques. Based on the historical data of potential safety hazard in enterprise, the association rules on the real-time data of potential safety hazard were mined, and the early-warning information, such as the types, possibility and change patterns of the associated potential safety hazard, were released to guide the enterprise to carry out the targeted investigation and rectification. Finally, taking 28 957 items of potential safety hazard data in 72 similar standard enterprises as example, the feasibility of the method was verified. The results showed that the method can not only mine the types and change patterns of the associated potential safety hazard, but also continually increase the early-warning accuracy with the increase of the confidence level.

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备注/Memo

备注/Memo:
国家重点研发计划项目（2016YCF0801906）
更新日期/Last Update: 2017-08-21