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基于图形引擎的720°全景与BIM模型视角同步方法

A Research on Viewpoint-synchronized Visualization Method of 720° Panoramic Imagery and BIM Models Based on a Lightweight Graphics Engine

  • 摘要: 针对工程施工中隐蔽工程不透明、后期隐患难追溯等问题,提出一种基于轻量化图形引擎的720°全景与BIM模型视角同步对比方法。首先,通过Revit构建项目BIM模型,并利用自研轻量化图形引擎将其转换为L3M格式以实现Web端高效渲染;其次,使用Insta360 X5全景相机采集现场720°全景图片,并基于Three.js实现在线全景预览。通过轻量化图形引擎的二次开发,实现全景视图与BIM模型视角的动态关联与双向同步,构建了实模一致的可视化对比机制。将该功能集成智慧工地系统,实现全景上传、实模对比、BIM/GIS热点关联等应用。案例应用表明该方法相较于传统人工巡检,质量问题沟通确认时间平均缩短约30%,隐蔽工程资料生成效率提升60%以上,显著提升了项目质量和进度精细化管理水平,对工程智慧化施工提供了有力的技术支撑。

     

    Abstract: In response to challenges in construction projects, such as the lack of transparency in concealed works and difficulties in tracing potential hazards during later stages, this paper proposes a method for synchronized perspective comparison between 720° panoramas and BIM models, developed based on a lightweight graphics engine. Firstly, the project's BIM model is constructed using Revit and converted into the L3M format via a self-developed lightweight graphics engine to achieve efficient web-based rendering. Secondly, 720° panoramic images are captured on-site using an Insta360 X5 camera and integrated into an online panoramic preview system developed with Three.js. Through secondary development of the lightweight graphics engine, dynamic linkage and bidirectional synchronization between the panoramic view and the BIM model perspective are achieved, establishing a visual comparison mechanism that ensures physical-digital consistency. After integrating this functionality into a smart construction site system, applications such as panoramic upload, reality-model comparison, and BIM/GIS hotspot association were implemented. Case studies demonstrate that, compared to traditional manual inspection, the proposed method reduces the average time required for quality issue communication and confirmation by approximately 30%, improves the efficiency of as-built documentation generation for concealed works by over 60%, and significantly enhances the fine-grained management of project quality and schedule, thereby providing robust technical support for intelligent construction practices.

     

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