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Towards autonomous cloud-based close call data management for construction equipment safety
Automation in Construction ( IF 9.6 ) Pub Date : 2021-09-25 , DOI: 10.1016/j.autcon.2021.103962
Olga Golovina 1 , Jochen Teizer 2 , Karsten W. Johansen 2 , Markus König 1
Affiliation  

Construction accounts for up to 25% of all occupational fatalities. About half are being struck by and caught-in/between objects or vehicles, resulting from insufficient or delayed detection of pedestrian workers. Research has proposed detecting visibility-related close calls in order to alarm the involved personnel and prevent negative consequences at the earliest possible time. This work has three objectives: First, a comprehensive synthesis on close call reporting processes and individual technologies. Second, a system focusing on (a) autonomous close call data generation from real-time proactive proximity detection and alerting technology and (b) cloud-based data processing and visualization in building information models at run time. Test results demonstrate that the developed system reaches purposes for decision making in safety management beyond the scope of existing detection and alarming devices. Third, guiding future research by outlining the role of proximity detection and alarming technology in developing autonomous safety systems for construction.



中文翻译:

面向建筑设备安全的基于云的自动近距离呼叫数据管理

建筑业占所有职业死亡人数的 25%。由于对行人工作人员的检测不足或延迟,大约一半被物体或车辆撞击并夹在/之间。研究建议检测与能见度相关的近距离呼叫,以提醒相关人员并尽早防止负面后果。这项工作有三个目标:首先,对近距离通话报告过程和个别技术的综合综合。其次,一个系统专注于 (a) 从实时主动接近检测和警报技术中自动生成近距离呼叫数据,以及 (b) 在运行时构建信息模型中的基于云的数据处理和可视化。测试结果表明,开发的系统达到了安全管理决策的目的,超出了现有检测和报警装置的范围。第三,通过概述接近检测和报警技术在开发自主施工安全系统中的作用来指导未来的研究。

更新日期:2021-09-27
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