塔式起重机事故案例关联规则挖掘与分析

doi:10.16265/j.cnki.issn 1003-3033.2021.07.019

中国安全科学学报 ›› 2021, Vol. 31 ›› Issue (7): 137-142.doi: 10.16265/j.cnki.issn 1003-3033.2021.07.019

塔式起重机事故案例关联规则挖掘与分析

况宇琦, 赵挺生教授, 蒋灵, 张伟副教授

华中科技大学土木工程与力学学院,湖北武汉 430074

收稿日期:2021-04-20 修回日期:2021-06-15 出版日期:2021-07-28 发布日期:2022-01-28
作者简介:况宇琦 (1996—),女,江西宜春人,硕士研究生,主要研究方向为建筑施工安全管理。E-mail:1070545396@qq.com。
基金资助:
国家重点研发计划项目(2017YFC0805500)。

Mining and analysis of association rules in tower crane accident cases

KUANG Yuqi, ZHAO Tingsheng, JIANG Ling,ZHANG Wei

School of Civil Engineering and Mechanics, Huazhong University of Science and Technology, Wuhan Hubei 430074, China

Received:2021-04-20 Revised:2021-06-15 Online:2021-07-28 Published:2022-01-28

摘要/Abstract

摘要： 为充分利用塔式起重机事故案例信息,深入挖掘事故特征,提出一种改进的Apriori算法挖掘模式,快速有效挖掘塔式起重机事故关联规则。首先,收集200份具有详细事故调查报告的塔式起重机事故案例,分析并提取事故调查报告中事故的属性数据,按照事故属性的概念层次结构编码;然后,基于经典的Apriori算法,提出一种适用于多维多层关联规则挖掘的模式,挖掘塔式起重机事故属性与致因间多维多层的关联规则;最后,根据挖掘结果,分析并总结塔式起重机事故特征。结果表明:关联规则能有效利用塔式起重机事故调查报告信息,用定量的方式挖掘事故特征;塔吊事故属性间以及事故致因间有较强关联关系。

关键词: 塔式起重机, 事故案例, 关联规则, Apriori算法, 事故属性

Abstract: In order to make full use of tower crane accidents information and mine deep into tower crane accident characteristics, an improved Apriori algorithm mining pattern was proposed,association characteristics of tower crane accident can be quickly and effectively mined. Firstly, 200 detailed accident investigation reports of tower crane were collected, accident attribute data in accident investigation report were analyzed and extracted, and coded according to the hierarchical structure.Secondly, a pattern suitable for multi-dimensional association characteristic was proposed based on classic Apriori algorithmt, association characteristics between tower crane accident attributes and causes were mined. Finally, tower crane accident association characteristics were analyzed and summarized according to mining results. The results showed that association rules algorithm can effectively utilize investigation of accident reports and mine characteristic of tower crane accidents in a quantitative way. Between tower crane accident attributes and accident causes have a strong association relation.

Key words: tower crane, accident cases, association rules, Apriori algorithm, accident attribute

中图分类号:

X952

况宇琦, 赵挺生, 蒋灵, 张伟. 塔式起重机事故案例关联规则挖掘与分析[J]. 中国安全科学学报, 2021, 31(7): 137-142.

KUANG Yuqi, ZHAO Tingsheng, JIANG Ling,ZHANG Wei. Mining and analysis of association rules in tower crane accident cases[J]. China Safety Science Journal, 2021, 31(7): 137-142.

参考文献

[1] 马辉, 吕航, 栾瑞斌. 基于空间单元分析的装配式建筑施工安全预警模型[J]. 中国安全科学学报, 2020, 30(5): 27-32.
MA Hui, LYU Hang, LUAN Ruibin. Safety early-warning model of prefabricated construction based on spatial cell analysis[J]. China Safety Science Journal, 2020,30(5): 27-32.
[2] 张伟, 张潇, 薛楠楠,等. 塔吊安全事故致因网络模型构建与分析[J]. 中国安全科学学报, 2020, 30(12): 1-7.
ZHANG Wei, ZHANG Xiao, XUE Nannan, et al. Network model establishment and analysis of tower crane safety accident causes[J]. China Safety Science Journal, 2020,30(12): 1-7.
[3] SHIN I J. Factors that affect safety of tower crane installation/dismantling in construction industry[J]. Safety Science, 2015, 72: 379-390.
[4] RAVIV G, FISHBAIN B, SHAPIRA A. Analyzing risk factors in crane-related near-miss and accident reports[J]. Safety Science, 2017, 91: 192-205.
[5] 张潇, 张伟. 塔式起重机安全事故统计分析[J]. 工业安全与环保, 2019, 45(9): 24-29.
ZHANG Xiao, ZHANG Wei. Statistical analysis of tower crane safety accidents[J]. Industrial Safety and Environmental Protection, 2019,45(9): 24-29.
[6] SILVA J,VARELA N,LOPEZ L A B, et al. Association rules extraction for customer segmentation in the SMEs sector using the apriori algorithm[J]. Procedia Computer Science,2019, 151: 1 207-1 212.
[7] 刘文恒. 公路穿村镇路段交通事故特征及事故致因深度分析[D]. 北京:北京交通大学,2018.
LIU Wenheng. Traffic accident characteristics and accident causation depth analysis on highway passing through villages segments[D]. Beijing: Beijing Jiaotong University, 2018.
[8] HONG J, TAMAKLOE R, PARK D. Application of association rules mining algorithm for hazardous materials transportation crashes on expressway[J]. Accident Analysis & Prevention, 2020, 142:DOI:10.1016/j.aap.2020.105497.
[9] 叶颖婕. 基于关联规则的交通事故风险因素挖掘及预测模型构建[D]. 北京:北京工业大学, 2018.
YE Yingjie. Research on mining algorithm and prediction model of traffic accident risk factors based on association rules[D]. Beijing: Beijing University of Technology, 2018.
[10] 洪媛媛. 基于多维多层关联规则挖掘的低等级公路交通事故致因分析[D]. 南京:东南大学, 2017.
HONG Yuanyuan. Research on data mining of low-grade highway accidents baesd on multimensional association rules[D]. Nanjing:Southeast University, 2017.
[11] 佟瑞鹏,陈策,刘思路,等. 面向行为安全的泛场景数据理论与应用研究[J]. 中国安全科学学报, 2017, 27(2): 1-6.
TONG Ruipeng, CHEN Ce, LIU Silu, et al. Research on the theory and application of pan-scene data for behavioral safety[J]. China Safety Science Journal, 2017,27(2): 1-6.
[12] 王成勇. 关联规则Apriori算法的研究与应用[D]. 北京:华北电力大学, 2018.
WANG Chengyong. Research and application of apriori algorithm in association rules mining[D]. Beijing:North China Electric Power University, 2018.

[1]	赵楚凡, 米传民, 周志鹏, 方晶. 基于组合关联分析模型的电力人身事故关键致因链筛选[J]. 中国安全科学学报, 2022, 32(4): 99-106.
[2]	陈述, 习俊博, 王建平, 陈云. 水电工程施工安全隐患关联规则挖掘^*[J]. 中国安全科学学报, 2021, 31(8): 75-82.
[3]	张充, 赵挺生, 蒋灵, 王鑫, 唐菁菁. 塔式起重机结构安全监测参数选取及测点布置^*[J]. 中国安全科学学报, 2021, 31(8): 112-118.
[4]	张伟, 廖阳新, 蒋灵, 赵挺生. 基于物联网的塔式起重机安全监控系统[J]. 中国安全科学学报, 2021, 31(2): 55-62.
[5]	曹惠玲, 胡彦杰. 适航指令设计制造缺陷案例关联分析^*[J]. 中国安全科学学报, 2021, 31(11): 54-63.
[6]	何光辉, 李晓伟, 李鑫奎, 沈志勇. 基于有限元与物联网的塔式起重机安全监测系统[J]. 中国安全科学学报, 2020, 30(11): 88-94.
[7]	聂天琦. 国外铁路交通事故调查现状综述及对我国的启示[J]. 中国安全科学学报, 2018, 28(S1): 149-154.
[8]	佟瑞鹏, 陈策, 刘思路, 卢恒, 马建华. 面向行为安全的泛场景数据理论与应用研究[J]. 中国安全科学学报, 2017, 27(2): 1-6.
[9]	孙劲光, 刘露, 牛莉霞. 习惯性违章行为耦合关联分析模型[J]. 中国安全科学学报, 2017, 27(2): 30-35.
[10]	王新浩, 秦绪华, 罗云. 基于垂直数据格式的企业隐患预警方法研究[J]. 中国安全科学学报, 2017, 27(2): 157-162.
[11]	陈伟珂，张铮燕. 地铁施工灾害关键警兆监测指标研究[J]. 中国安全科学学报, 2013, 23(1): 148-.
[12]	姬浩，苏兵，吕美. 基于FP-growth算法的高校群体性突发事件关联规则分析[J]. 中国安全科学学报, 2012, 22(12): 144-.
[13]	王宇航，刘结友，陈攀，叶树青，樊晶光. 由53起较大以上事故探讨农产品加工企业风险特征[J]. 中国安全科学学报, 2010, 20(1): 136-.
[14]	叶青，罗新荣，贾真真，朱理哲. 煤矿事故管理系统的设计与开发[J]. 中国安全科学学报, 2008, 18(4): 131-.
[15]	徐维祥，苏晓军. 基于频繁模式树的一种关联规则挖掘算法及其在铁路隧道安全管理中的应用[J]. 中国安全科学学报, 2007, 17(3): 25-.

塔式起重机事故案例关联规则挖掘与分析

Mining and analysis of association rules in tower crane accident cases

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

本文评价