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基于计算机视觉的临边洞口坠落事故自动预警方法

李建华 陈宋春 张可嘉 郭红领 骆杰 方东平

土木工程与管理学报2024,Vol.41Issue(3):1-11,11.
土木工程与管理学报2024,Vol.41Issue(3):1-11,11.DOI:10.13579/j.cnki.2095-0985.2024.20240064

基于计算机视觉的临边洞口坠落事故自动预警方法

An Automatic Warning Method of Falling from Edges and Openings Based on Computer Vision

李建华 1陈宋春 2张可嘉 3郭红领 2骆杰 3方东平2

作者信息

  • 1. 清华大学 建设管理系,北京 100084||北京城建集团有限责任公司,北京 100088
  • 2. 清华大学 建设管理系,北京 100084
  • 3. 北京城建集团有限责任公司,北京 100088
  • 折叠

摘要

Abstract

As a major hazardous source of falling accident from height,edges and openings have al-ways been the focus of safety management on construction sites.However,the complexity of construc-tion sites and a large number of edges and openings make managers difficult to monitor them simulta-neously.Therefore,this study proposed an automatic warning method for falling from edges and open-ings based on computer vision,to assist managers in mastering on-site information and prevent safety accidents in advance.Firstly,videos are captured by cameras installed on tower cranes and used to i-dentify and locate site the workers.Then,the location of hazardous area is determined,and the dis-tance between the workers and the hazardous area is measured automatically.Finally,the workers'safety state is judged and warning information is generated in a hierarchical way according to the es-tablished judgment rules.The proposed method was applied in Terminal 2 of Xinqiao International Airport.The results show that the overall measurement error is within 6%,which can effectively judge worker's safety state and assist in safety management.

关键词

安全管理/高处坠落/临边洞口/安全预警

Key words

safety management/falling from height/edge and opening/safety warning

分类

信息技术与安全科学

引用本文复制引用

李建华,陈宋春,张可嘉,郭红领,骆杰,方东平..基于计算机视觉的临边洞口坠落事故自动预警方法[J].土木工程与管理学报,2024,41(3):1-11,11.

基金项目

国家自然科学基金(52278310) (52278310)

土木工程与管理学报

OACHSSCDCSTPCD

2095-0985

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