基于三维点云的室内工程施工进度跟踪研究

朱思雨

摘 要

随着我国经济建设的进步与发展，建筑工程规模与数量不断扩大。室内工程作为建筑工程的重要组成部分也成为人们关注的焦点。室内工程由于自身场地有限通常会面临工作面重叠、施工流水作业衔接混乱等问题，从而可能导致工程进度延误、成本超支，增加项目风险。因此行业普遍认识到开展针对室内工程的施工进度管理的具有非常重要的现实意义。实时、准确的施工进度信息采集是保障室内工程进度目标实现的关键步骤，但是目前室内工程大多采用的是的施工进度进度信息采集方式主要是人工检查、手工录入进度信息，这种方式不仅耗时费力、而且结果大都是以文字形式呈现，数据处理、分析效率较低，难以满足现代室内工程项目施工进度跟踪对数据精度、及时性和准确性的要求。本文以提高现场数据的采集技术自动化水平为切入点，提出一种基于三维点云的施工进度监控方法，使得建设项目各管理人员可以及时的了解现场进度，便于决策。

本论文提出的方法包括重建现场三维点云模型、三维点云模型和BIM模型集成2大模块。首先利用基于深度相机的三维建模方法创建现场实时点云模型，减少信息采集过程的人工参与，提供实时准确的现场数据；然后将三维点云模型和BIM模型集成，有效连接BIM模型和建筑工程施工现场，支持现场进度可视化展示，帮助管理人员及时发现进度偏差。最后在一个室内场景内进行了实验，实验结果表明该方法能够有效地实现实时的室内工程施工进度跟踪。

基于三维点云的施工进度监测方法减少了人工参与、降低了数据采集的误差、提升了数据收集的效率和施工现场管理的效率，为室内工程进度的自动化跟踪打下基础，同时为施工进度信息的管理和共享问题提供解决办法。

关键词：三维点云；施工进度跟踪；深度相机；建筑信息模型；室内工程

Abstract

 Interior engineering is an important part of architectural engineering, due to the limited space, Interior projects usually face problems such as overlapping working faces and chaotic connection of construction operations due to their limited space, which may lead to delays in project progress, cost overruns, and increased project risk. Therefore, the industry generally recognizes that it is of great practical significance to carry out construction schedule management for interior projects. Real-time and accurate construction progress information collection is a key step to ensure the achievement of Interior project progress goals. However, most of the Interior projects currently use construction progress progress information collection methods, which are mainly manual inspection and manual entry of progress information. This method is not only time-consuming and labor-intensive, but the results are mostly presented in text form, and the efficiency of data processing and analysis is low, which is difficult to meet the data accuracy, timeliness and accuracy requirements of the construction progress tracking of modern interior engineering projects. Taking the improvement of on-site data collection technology automation level as the starting point, this thesis proposes a construction progress monitoring method based on three-dimensional point cloud, so that construction project managers can timely understand the on-site progress and facilitate decision-making.

The method proposed in this thesis includes the reconstruction of the three-dimensional point cloud model, the integration of the three-dimensional point cloud model and the BIM model. Firstly, Use the depth camera-based 3D modeling method to create a real-time point cloud model in the field, reduce manual participation in the information collection process, and provide real-time and accurate field data; Then integrate the 3D point cloud model and the BIM model, effectively connect the BIM model and the construction site of the construction project, support the visual display of the on-site progress, and help the management personnel discover the progress deviation in time. Finally, Experimented in an interior scene. The experimental results show that this method can effectively achieve real-time interior construction progress tracking.

The 3D point cloud-based progress monitoring in interior construction site reduces manual participation, reduces the error of data collection, improves the efficiency of data collection and the efficiency of construction site management, lays the foundation for the automatic tracking of interior project progress, and at the same time provides information for construction progress information. Provide solutions to management and sharing issues.

Key Words: Three-dimensional point cloud; Construction progress monitoring; Depth camera; Building information model; Interior engineering