The prefabricated building construction (PBC) project is sensitive to uncertainties due to the highly required coordination and interdependency among the installation activities, which may cause progress delay. Hence, it is necessary to monitor the installation progress and evaluate the schedule in terms of the project duration to take proactive control actions to avoid actual project delay. This study focuses on intelligent monitoring and evaluation for the PBC schedule by combining the computer vision-based (CVB) technology, a weighted kernel density estimation (WKDE) method, and the earned duration management (EDM) method. Intelligent and real-time far-field detection of the prefabricated components (PCs) and workers is achieved through the CVB technology, which is, respectively, used to measure the progress status of the PC installation works and other manual works by means of the WKDE method. The PBC project duration is then predicted based on the monitored progress status to evaluate the schedule through the EDM method. The proposed intelligent schedule monitoring and evaluation method have been illustrated and justified through a field application. This study contributes to achieving intelligent schedule monitoring and evaluation for the PBC project.

中文翻译：

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装配式施工进度智能监测与评价

装配式建筑施工 (PBC) 项目对不确定性很敏感，因为安装活动之间需要高度协调和相互依赖，这可能会导致进度延迟。因此，有必要监控安装进度并根据项目持续时间评估进度表，以采取主动控制措施以避免实际项目延误。本研究结合基于计算机视觉 (CVB) 技术、加权核密度估计 (WKDE) 方法和挣得持续时间管理 (EDM) 方法，对 PBC 进度进行智能监控和评估。通过CVB技术实现对预制构件（PC）和工作人员的智能实时远场检测，分别为：用于通过 WKDE 方法测量 PC 安装工作和其他手动工作的进度状态。然后根据监控的进度状态预测 PBC 项目持续时间，以通过 EDM 方法评估进度。所提出的智能调度监控和评估方法已通过现场应用进行了说明和论证。本研究有助于实现PBC项目进度监控与评估的智能化。