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Automatic checks from 3D point cloud data for safety regulation compliance for scaffold work platforms

机译：从3D点云数据自动检查安全调节脚手架工作平台的合规性

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摘要

Fall from scaffolds is one of the leading causes for injuries and fatalities in the construction industry. To prevent fall from scaffolds, toe-boards and guard-rails must be installed on scaffold work platforms according to relevant safety regulations. Traditionally, the checking of safety regulation conformity relies on manual observation, which is inefficient and inaccurate. To address the limitations of manual checking, this study proposes a technique to automatically check whether scaffold work platforms conform to the safety regulations based on 3D point cloud data. The proposed technique first detects the location of scaffolds from the point cloud data by finding the vertical scaffold components, known as uprights. Then, scaffold work platforms, which are planar and horizontal components, are detected based on the histogram of the Z values of the point cloud data. Once the work platforms are extracted, the toe-boards and guard-rails are detected along all the four sides of each work platform. Then, the detected toe-boards and guard-rails are checked to identify any violation of safety regulations. Validation experiments were conducted on a point cloud dataset acquired from a construction site in Singapore. The experimental results show that the proposed technique could successfully detect scaffolds and work platforms from point cloud data, and extract toe-boards and guard-rails for safety regulation checking. All the violations of safety regulations in the point cloud data were successfully identified using the proposed technique.
机译：来自脚手架的堕落是建筑业伤害和死亡的主要原因之一。为防止脚手架下降，必须根据相关的安全法规安装脚趾板和护栏轨道。传统上，检查安全调节符合性依赖于手动观察，这是低效和不准确的。为了解决手动检查的局限性，本研究提出了一种自动检查脚手架工作平台是否符合3D点云数据的安全规定的技术。所提出的技术首先通过找到垂直支架组件来检测脚手架的位置，通过找到垂直支架组件，称为竖直。然后，基于点云数据的Z值的直方图检测是平面和水平分量的脚手架工作平台。一旦提取了工作平台，沿着每个工作平台的所有四个边检测到脚趾板和护栏。然后，检查检测到的脚趾和保护导轨以确定任何违反安全规定的行为。在新加坡的建筑工地获取的点云数据集上进行了验证实验。实验结果表明，该技术可以成功地从点云数据中成功地检测脚手架和工作平台，并提取用于安全监管检查的脚趾电路板和护栏。使用该技术成功识别了点云数据中的所有违反安全规定的行为。

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