施工进度的近实时监控:扩展现实和Kinect V2的集成

Ahmed Khairadeen Ali, Do-Yeop Lee, Chansik Park
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引用次数: 3

摘要

近年来,施工进度监测和可视化技术有了长足的发展。然而,建筑办公室和工地之间的数据交换过程仍然缺乏自动化和实时数据记录。此外,建筑办公室和工地活动之间的信息差距仍然存在,进度检查员仍然需要访问工地以检查进度并分配质量等级。因此,本研究提出了一种接近实时的施工进度监测系统(iVR),该系统将3D扫描、扩展现实和可视化编程相结合,实现可视化的交互式现场检查并提供数字数据。iVR系统包含四个模块:1)通过3D扫描(iVR-scan)记录现场活动;2)将三维扫描数据处理并转换为三维模型(ivr制备);3)施工办公室沉浸式虚拟现实巡检(iVR-inspect);4)利用增强现实技术(iVR-feedback)对施工现场的检测反馈进行可视化。换句话说,3D激光扫描仪首先捕获活动点云,然后通过ivr准备算法处理并将点云转换为3D模型,然后发送到施工办公室的BIM云。然后,在iVR-inspect中提出的VR模式使质量保证检查员能够跟踪工作流程,将当前项目进度与蓝图进行比较,测量对象,并在3D模型中添加文本或设计说明,以提高现场管理和决策质量。最后,ivr反馈将检查报告发送给现场工作人员,他们可以通过集成了图形算法的增强现实模式将其可视化。本文提出了一个实验室试验来验证这一概念;iVR进度监控系统成功生成所需结果。拟议的系统有可能通过开发一个富有成效和实用的交流平台,帮助进度检查员和工作人员完成质量和进度评估和决策。与传统的人工监控或数据捕获、处理和存储方法相比,它具有优势,后者具有存储、兼容性和时间效率问题。此外,iVR最大限度地减少了工人和QA检查员之间的身体互动,从而创造了更健康的建筑工地,其特点是人与人之间的互动最少。最后,同样的方法可以应用于更复杂的具有可移动性质的建筑活动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Near Real-Time Monitoring of Construction Progress: Integration of Extended Reality and Kinect V2
Construction progress monitoring and visualization have recently undergone advanced development. However, the data exchange process between construction offices and jobsites still lacks automation and real-time data records. Furthermore, an information gap between construction offices and jobsite activity persists, and progress inspectors still need to visit jobsites to check progress and assign quality ratings. Therefore, this research proposes a near real-time construction progress monitoring system called (iVR), which integrates 3D scanning, extended reality, and visual programming to visualize interactive onsite inspection and provide numeric data. The iVR system contains four modules: 1) recording jobsite activity through 3D scan (iVR-scan); 2) processing and converting 3D scan data into a 3D model (iVR-preparation); 3) immersive virtual reality inspection in the construction office (iVR-inspect); and 4) visualizing inspection feedback on the construction jobsite using augmented reality (iVR-feedback). In other words, 3D laser scanners first capture an activity point cloud and the iVR-preparation algorithm processes and converts the point cloud into a 3D model that is sent to the construction office's BIM cloud. Then, the proposed VR mode in iVR-inspect enables a quality assurance inspector to trace workflow, compare current project progress with blueprints, measure objects, and add text or design notes to 3D models to improve the site management and decision-making quality. Finally, iVR-feedback sends inspection reports to jobsite workers, who can visualize them in an augmented reality mode integrated with graphical algorithms. An experimental laboratory trial is presented in this paper to validate the concept; the iVR system for progress monitoring successfully generated the required results. The proposed system has the potential to help progress inspectors and workers complete quality and progress assessments and decision making through the development of a productive and practical communication platform. It compares favourably to conventional manual monitoring or data capturing, processing, and storing methods, which have storage, compatibility, and time-efficiency issues. Moreover, iVR minimizes physical interactions between workers and QA inspectors, thus creating healthier construction jobsites that are characterized by minimal human interaction. Finally, the same approach can be applied to more complex construction activities with movable natures.
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