基于深度学习的施工安全隐患整改智能推荐系统

doi:10.11959/j.issn.2096-0271.2023076

Abstract

Abstract:

The management of safety hazards in water conservancy engineering construction is transitioning towards informatization and intelligence.In order to efficiently mine valuable potential information from a large amount of unstructured construction safety hazard data, an intelligent recommendation system for construction safety hazard rectification based on deep learning is proposed.This paper is based on the TF-IDF algorithm to extract feature words of hidden danger, construct a safety hazard association Sankey diagram and display the information flow characteristics among construction sections, hazard features and hazard types.Then, this paper mines association rules in historical data based on the FP-Growth algorithm.In addition, the process of case retrieval recommendation is optimized by combining the sequence similarity matching algorithm and the Doc2Vec model.This paper uses 80 953 construction safety hazard information as the data source, which is recorded in the water resources allocation project of Pearl River Delta from 2019 to 2023.Example verification shows that the proposed method can match accurate rectification measures for current construction safety hazards, effectively assisting construction safety managers to identify and address hidden danger.

Key words: construction safety, correlation analysis, deep learning, intelligent recommendation

CLC Number:

TP183

Zhen LIU, Song ZHAO, Tao YANG, Taiwei CAI. Intelligent recommendation system for rectification of construction safety hazards based on deep learning[J]. Big Data Research, 2023, 9(6): 124-136.

Figures/Tables 13

References 24

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标段	隐患描述	隐患类型	整改措施	检查日期
A1	沉淀池无标识牌，无安全防护	环境隐患	悬挂标识牌，做好防护	2019-09-01
B1	现场人员存在吸烟现象	人的不安全行为	进行现场安全教育	2021-01-21
C1	现场多处电缆损坏且拖地	管理隐患	对电缆进行更换	2022-10-05

序号	条件	结果	置信度	支持度
1	配电箱	不规范、灭火器、接线	0.75	0.0031
2	区域、人员	警示、设置、安全帽	0.66	0.0023
3	电缆线	拖地、破损	0.67	0.0024
4	施工、警示	设置、临时	0.50	0.0024
5	杂物	堆放、灭火器	0.53	0.0027
6	标识牌	记录、拖地	1.00	0.0025
7	电缆、防护栏杆	防护、基坑	0.55	0.0030
8	高处作业	安全带、佩戴、安全帽	0.76	0.0032
9	气瓶	防倾倒、措施	0.82	0.0045
10	危险源	公示牌、警示	0.92	0.0026
…	…	…	…	…

编号	当前隐患描述	历史案例数据库	相似度
1	左线一电箱未及时贴标识牌	配电箱未张贴标识牌	0.903
2	高压线安全距离防护措施不足	220 kV高压线安全距离防护措施不足	0.891
3	仓库氧气瓶未专库存放	氧气瓶未使用时专库存放	0.869
4	现场安全警示牌排序未按标准进行挂设	工作井井底施工作业架安全警示牌排序未按标准进行挂设	0.782
5	入库输水箱涵处木工盘锯无防护罩	木工盘锯无防护罩	0.879
6	北三角营地宿舍私拉乱接，违规使用插线板	西南角营地宿舍内私拉乱接，违规使用插线板	0.891
7	灭火器无巡查记录	仓库灭火器无巡查记录	0.888
8	现场交叉道路无减速带	工区现场大门车道缺少减速带	0.785
9	工作井道路积土严重、扬尘较多	工作井场地积水、污泥严重	0.783
10	工作井泥浆池临边防护不到位	工作井临边防护不到位	0.880
…	…	…	…
综合准确率		0.869

编号	相似案例推荐整改措施	安全管理者制定整改措施	相似度
1	加强现场人员教育，正确佩戴安全帽	对现场不正确佩戴安全帽人员进行教育	0.934
2	及时修复损坏警示标志牌	及时加设安全提示标语有安全标志牌	0.869
3	加设相应灭火器	及时加配灭火器	0.897
…	…	…	…
综合准确率		0.914

输入	模型	输出
焊工棚二氧化碳气瓶无防护棚、	SSM	焊工棚二氧化碳气瓶无防倾倒措施
无防倾倒措施
		二氧化碳气瓶无防倾倒措施
		工作井内二氧化碳气瓶无防倾倒措施
		工作井二氧化碳气瓶无防倾倒措施、无防震圈、无防撞帽
		钢筋加工场所二氧化碳气瓶无防倾倒措施
	Doc2Vec	颜屋工区料仓防护棚揽风绳花篮螺栓无保险扣
		洞门墙上的2级配电箱需要加防护棚
		检修交通涧工区拌和站氧气、乙炔瓶无防护棚和防倾倒措施
		焊工棚二氧化碳气瓶无防倾倒措施
		配电箱无防护棚
	SSM+Doc2Vec	焊工棚气瓶无防倾倒措施
		焊工棚气瓶未做防倾倒
		焊工棚氧气瓶无防倾倒
		焊工棚氧气瓶无防倾倒
		焊工棚二氧化碳气管开裂较多

Intelligent recommendation system for rectification of construction safety hazards based on deep learning

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