基于建筑信息模型技术与智慧工地理念的地铁施工人员安全管理系统
代永双张志伟
Metro Construction Personnel Safety Management System Based on BIM Technology and Smart Construction site Concept
DAI YongshuangZHANG Zhiwei
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作者信息:1.北京市轨道交通建设管理有限公司， 100068， 北京
2.城市轨道交通全自动运行系统与安全监控北京重点实验室， 100068， 北京
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Affiliation:1.Beijing MTR Construction Administration Co., Ltd., 100068, Beijing, China
2.Beijing Key Laboratory of Fully Automatic Operation and Safety Monitoring for Urban Rail Transit, 100068, Beijing, China
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关键词:
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Key words:
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DOI:10.16037/j.1007-869x.2024.01.042
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中图分类号/CLCN:TP315∶TU714
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栏目/Col:应用技术
摘要:
［目的］人员的不安全行为是导致轨道交通工程施工安全事故的重要因素。为解决现存的视频图像监控系统依赖人工识别、安全质量问题发现不及时、不能及时报警等问题，需要对地铁施工人员安全管理系统展开研究。［方法］从整体架构、采集模块的设备安装、BIM(建筑信息模型)的建立及软件平台等方面，阐述了地铁施工人员安全管理系统的搭建方案。分析了地铁施工人员安全管理系统在具体工程试点的应用情况，进而验证该系统的智能识别准确性。［结果及结论］施工现场应用情况表明，地铁施工人员安全管理系统能智能识别未佩戴安全帽、进入禁止区域、睡岗离岗等人员不安全行为并自动报警，且报警正确率超过98%，大幅提高了安全隐患识别的精度和效率。相关人员通过交互终端即可实时查阅监控视频，实时接收报警信息，快速定位隐患发生位置并处置。
Abstracts:
［Objective］ Unsafe behaviors among personnel are significant factors contributing to safety accidents in rail transit engineering. To address the existing issues of video image monitoring systems, such as reliance on manual identification, delayed detection of safety problems, and inadequate real-time alarms, research on metro construction personnel safety management system is required. ［Method］ The construction scheme of the metro construction personnel safety management system is elaborated from the aspects of overall architecture, equipment installation for data collection modules, establishment of BIM (building information modeling), and software platform. The application of the above management system in specific engineering pilot projects is analyzed to verify the intelligent identification accuracy of the system. ［Result & Conclusion］ The application of the system on construction sites demonstrates that the system can intelligently identify unsafe behaviors of construction personnel, such as not wearing safety helmets, unauthorized entry into restricted areas, and sleeping or leaving posts, for which scenarios the accurately triggered alarms take up to 98%, significantly enhancing the precision and efficiency of identifying safety hazards. Relevant personnel can access surveillance videos in real-time through interactive terminals, receive alarm information promptly, swiftly locate the occurrence of hazards, and take necessary actions.
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