知识图谱改进的施工行为安全风险与危险位置识别算法*

doi:10.16265/j.cnki.issn 1003-3033.2021.12.002

中国安全科学学报 ›› 2021, Vol. 31 ›› Issue (12): 10-16.doi: 10.16265/j.cnki.issn 1003-3033.2021.12.002

• 安全社会科学与安全管理 • 上一篇下一篇

知识图谱改进的施工行为安全风险与危险位置识别算法^*

龙丹冰¹ 讲师, 魏君豪¹, 杨成^**2 副教授

1 西南交通大学土木工程学院,四川成都 610031;
2 西南交通大学陆地交通地质灾害防治技术国家工程实验室,四川成都 610031

收稿日期:2021-09-13 修回日期:2021-11-09 出版日期:2021-12-28 发布日期:2022-06-28
通讯作者: **杨成(1977—),男,四川南充人,博士,副教授,主要从事工程结构防灾减灾方面的研究。E-mail:yangcheng_civil@foxmail.com。
作者简介:龙丹冰 (1983—),女,广西柳州人,博士,讲师,主要从事建筑信息化研究。E-mail: lornalong@swjtu.edu.cn。
基金资助:
国家自然科学基金资助(51808455,51778537);国家重点研发计划项目(2021YFB2600501);四川省科技计划项目(2017JY0237);中央高校基本科研业务费-专题研究项目(基础办)-学科交叉研究专项(2682021ZTPY080)。

An improved algorithm for construction behavior safety risk and hazard location identification based on knowledge graph

LONG Danbing¹, WEI Junhao¹, YANG Cheng²

1 School of Civil Engineering, Southwest Jiaotong University, Chengdu Sichuan 610031, China;
2 National Engineering Laboratory for Technology Geological Disaster Prevention in Land Transportation, Southwest Jiaotong University, Chengdu Sichuan 610031, China

Received:2021-09-13 Revised:2021-11-09 Online:2021-12-28 Published:2022-06-28

摘要/Abstract

摘要： 为解决传统施工行为安全风险分析中因专家主观判断而不能较好反映项目或地区特征的问题,提出知识图谱改进的施工行为安全风险分析方法与危险位置识别算法。首先,基于施工安全事故报告客观数据,建立可结构化存储与调用数据并支持推理的施工安全事故知识图谱;然后,在图谱中提取因施工行为导致的安全事故数据,修正初始由专家定义的风险等级可能度函数,进而改进基于灰聚类的施工行为安全风险分析方法;最后,提出知识图谱路径推理算法,基于风险分析结果明确关键行为指标后,确定关键危险位置;施工案例采用近年项目所在地区同类型的施工安全事故报告建立知识图谱,进行施工行为安全风险评价与危险位置识别,验证结果表明:该方法可实现动态、全局的施工行为安全风险定级,反映风险的地区和时段特征,辅助改进施工安全措施计划。

关键词: 知识图谱, 施工行为安全, 安全风险分析, 危险位置识别, 安全事故报告

Abstract: In order to address insufficiency of traditional construction behavior risk analysis in reflecting problems in projects and regions due to subjective judgement of experts, a knowledge graph method was proposed in this article for improving construction behavior-based safety risk analysis and hazardous location identification. Firstly, based on objective data report of construction accidents, an accident knowledge graph was built to store and recall data efficiently as well as support reasoning. Then, accident data deriving from construction behavior was extracted from the graph to modify possibility degree function of risk grading initially defined by experts, and the method based on gray clustering for risk analysis of construction behavior was improved. Finally, path reasoning algorithm over the knowledge graph was formed to identify relevant hazardous location corresponding to construction behavior indicators. After key behavior indicators were determined based on risk analysis results. Furthermore, a knowledge graph was developed through a case study on the same type of recent construction accident reports in the region where the project was located, the behavior-based safety risk analysis and hazardous location identification were carried out. The results show that the proposed method can determine accident level dynamically and comprehensively, and reflect risk location and timing characteristics, thus helping improve construction safety measures.

Key words: knowledge graph, construction behavior safety, risk analysis, hazardous location identification, accident reports

中图分类号:

X910

龙丹冰, 魏君豪, 杨成. 知识图谱改进的施工行为安全风险与危险位置识别算法^*[J]. 中国安全科学学报, 2021, 31(12): 10-16.

LONG Danbing, WEI Junhao, YANG Cheng. An improved algorithm for construction behavior safety risk and hazard location identification based on knowledge graph[J]. China Safety Science Journal, 2021, 31(12): 10-16.

参考文献

[1] HOLLNAGEL E. Human reliability analysis: context and control [M]. London: Academic Press, 1993:159-202.
[2] CHEN Dawei, TIAN Hanzhi. Behavior based safety for accidents prevention and positive study in China construction project [J]. Procedia Engineering, 2012, 43: 528-534.
[3] CHOUDHRY R M. Behavior-based safety on construction sites: a case study [J]. Accident Analysis & Prevention, 2014, 70: 14-23.
[4] LI Heng, LU Miaoia, HSU Shuchien, et al. Proactive behavior-based safety management for construction safety improvement [J]. Safety Science, 2015, 75: 107-117.
[5] LEE Pinchan, WEI Junhao, HSIN-I Ting, et al. Dynamic analysis of construction safety risk and visual tracking of key factors based on behavior-based safety and building information modeling [J]. KSCE Journal of Civil Engineering, 2019, 23(10): 4 155-4 167.
[6] 郭聖煜, 郭文会, 宫培松. 地铁施工工人不安全行为统计过程控制研究 [J]. 中国安全科学学报, 2018, 28(7): 153-158.
GUO Shengyu, GUO Wenhui, GONG Peisong. Research on statistical process control of metro construction workers' unsafe behaviors [J]. China Safety Science Journal, 2018, 28(7): 153-158.
[7] 陈大伟, 田翰之, 张江石. 基于行为安全的建筑事故预防量化方法与实证研究 [J]. 中国安全科学学报, 2010, 20(7): 96-102.
CHEN Dawei, TIAN Hanzhi,ZHANG Jiangshi. A quantitative method for construction accidents prevention based on behavior safety and its empirical study [J]. China Safety Science Journal, 2010, 20(7): 96-102.
[8] 张洪, 宫运华, 傅贵. 基于“2-4”模型的建筑施工高处坠落事故原因分类与统计分析 [J]. 中国安全生产科学技术, 2017, 13(9): 169-174.
ZHANG Hong, GONG Yunhua, FU Gui. Causes classification and statistical analysis on falling accidents on construction sites based on "2-4" model [J]. Journal of Safety Science and Technology, 2017, 13(9): 169-174.
[9] 孙世梅,赵金坤,傅贵.基于“2-4”模型的高处坠落事故行为原因研究[J].中国安全科学学报,2019,29(8):23-28.
SUN Shimei, ZHAO Jinkun, FU Gui. Study on behavioral causes of falling accidents based on "2-4" model [J]. China Safety Science Journal, 2019,29(8):23-28.
[10] 杨奇, 周红波, 唐强达. 考虑系统特征的概率风险分析方法在塔吊施工安全风险评估中的应用 [J]. 安全与环境学报, 2020, 20(5): 1 637-1 644.
YANG Qi, ZHOU Hongbo, TANG Qiangda. Modified probability risk analysis approach to the risk assessment of the tower crane safety on account of its system specialty [J]. Journal of Safety and Environment, 2020, 20(5): 1 637-1 644.
[11] 宋博.DEA-BP神经网络下地铁车站深基坑施工安全评价[J].中国安全科学学报,2019,29(5):91-96.
SONG Bo. Safety evaluation for deep foundation pit construction in metro station based on DEA-BP neural network[J]. China Safety Science Journal, 2019,29(5):91-96.
[12] SHAO Bo, HU Zhigen, LIU Quan, et al. Fatal accident patterns of building construction activities in China [J]. Safety Science, 2019, 111: 253-263.
[13] ZHOU Zhipeng, IRIZARRY J, LI Qiming. Using network theory to explore the complexity of subway construction accident network (SCAN) for promoting safety management [J]. Safety Science, 2014, 64: 127-136.
[14] 王莉, 王建平, 许娜, 等. 基于知识图谱的地铁工程事故知识建模与分析 [J]. 土木工程与管理学报, 2019, 36(5): 109-114,122.
WANG Li, WANG Jianping, XU Na, et al. Knowledge graph-based metro engineering accidents knowledge modeling and analysis [J]. Journal of Civil Engineering and Management, 2019, 36(5): 109-114,122.
[15] FANG Weili, MA Ling, LOVE P E, et al. Knowledge graph for identifying hazards on construction sites: integrating computer vision with ontology [J]. Automation in Construction, 2020, 119: 103310.1-103310.10.
[16] 刘思峰. 灰色系统理论及其应用(第8版) [M]. 北京: 科学出版社, 2017: 79-81.
[17] FARD M M, TEROUHID S A, KIBERT C J, et al. Safety concerns related to modular/prefabricated building construction[J]. International Journal of Injury Control and Safety Promotion, 2017, 24(1): 10-23.
[18] GÜRCANLI G E ,BARADAN S , UZUN M. Risk perception of construction equipment operators on construction sites of Turkey[J]. International Journal of Industrial Ergonomics, 2015, 46: 59-68.
[19] 中华人民共和国住房和城乡建设部.住建部房屋市政工程生产安全事故情况通报[EB/OL].[2020-12-22].http://www.mohurd.gov.cn/.

知识图谱改进的施工行为安全风险与危险位置识别算法^*

An improved algorithm for construction behavior safety risk and hazard location identification based on knowledge graph

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 12

编辑推荐

Metrics

本文评价

[1]	李杰, 刘娇, 梁绪树, 钱金鑫, 郝立敏. 《中国安全科学学报》30年的整体画像[J]. 中国安全科学学报, 2022, 32(3): 9-17.
[2]	赵宸豫, 张天巍, 张桂云, 郭子东. 基于科学知识图谱的杯式燃烧器文献计量分析^*[J]. 中国安全科学学报, 2021, 31(9): 157-166.
[3]	何昌原, 张鹏, 李驰原, 王乙程, 刘昶. 中国安全文化学研究热点与演进:基于2010—2019年中国知网数据库的知识图谱分析[J]. 中国安全科学学报, 2021, 31(5): 152-159.
[4]	刘林, 梅强, 常志朋. 国内70年来员工不安全行为研究:发展阶段、研究热点及趋势分析[J]. 中国安全科学学报, 2021, 31(3): 1-12.
[5]	邱东阳, 阳富强, 段在鹏. 基于CNKI数据库的安全氛围研究文献计量分析[J]. 中国安全科学学报, 2020, 30(7): 27-34.
[6]	谭章禄, 彭胜男. 煤矿安全生产知识图谱分析[J]. 中国安全科学学报, 2019, 29(4): 133-139.
[7]	李杰, 李平, 谢启苗, 付姗姗. 安全疏散研究的科学知识图谱[J]. 中国安全科学学报, 2018, 28(1): 1-7.
[8]	陈孝慈, 谭章禄, 马琳, 单斐. 可视化安全管理知识图谱分析[J]. 中国安全科学学报, 2017, 27(4): 13-18.
[9]	李琰，赵龙钊，李红霞. 1991-2012年《中国安全科学学报》发表论文可视化分析[J]. 中国安全科学学报, 2013, 23(9): 136-.
[10]	李杰，郭晓宏，姜亢，吕鹏辉. 安全科学知识图谱的初步研究——以《Safety Science》期刊数据为例[J]. 中国安全科学学报, 2013, 23(4): 152-.
[11]	梁曼，徐肖豪，邹少孚. 基于模糊BN和SHELLO模型的管制人为因素安全风险分析[J]. 中国安全科学学报, 2013, 23(11): 126-.
[12]	王云才，牛聚粉. 基于知识图谱的应急管理研究态势分析[J]. 中国安全科学学报, 2012, 22(4): 171-.