Establishment and Application of Hospital BIM Based on Point Cloud and Image Fusion for Infectious Disease (Novel Corona Virus Pneumonia)

CONVERTER Pub Date : 2021-07-29 DOI:10.17762/converter.264
G. He, Jun Yang, Q. Nie
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Abstract

Since neither a single high-precision 3D coordinate laser point cloud nor a oblique image of high-precision spectral information can make the computer understand the data as human, in order to accurately and completely understand the object in the real world, in this paper, the fusion of the point cloud and the oblique image is studied for the understanding and application of the real object buildings by establishing a BIM model. Firstly, point cloud data and image data are acquired by different data acquisition methods. Laser point cloud and oblique image are fused by installation parameters so that geometric elements are consistent and benchmark is unified. Processing level is not limited to element level only, so as to ensure the integrity of information, and the fused mutual information remains consistent in scale, texture and direction. Secondly, under the condition of space-time synchronization, the relationship between point cloud and image in geometric space is established, and the alternating "energy transfer" is used for shape prediction and visual filling by matching under texture mapping constraints to enhance the semantic information of the 3D scene. Finally, a 3D building information model is established. Using the experimental results to track the whole life cycle (design, construction, operation) in real time saves the cost of building rework, reduces the building cycle, and improves the building accuracy. Especially based on BIM during Novel Coronavirus Pneumonia: analyze hospital space resource management and elastic function; construct medical unit model of infectious disease hospital; simulate and optimize medical process in infectious disease hospital; rapidly construct prefabricated infectious disease emergency hospital; simulate hospital infection path and dynamics; the auxiliary design and construction of infectious disease treatment in existing hospitals; The monitoring analysis and automatic control of hospital infection safety operation.
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基于点云和图像融合的传染病(新型冠状病毒肺炎)医院BIM的建立与应用
由于单一的高精度三维坐标激光点云和高精度光谱信息的斜像都不能使计算机像人一样理解数据,为了准确、完整地理解现实世界中的物体,本文通过建立BIM模型,研究点云和斜像的融合,以便对实物建筑的理解和应用。首先,采用不同的数据采集方法获取点云数据和图像数据。通过安装参数融合激光点云和斜像,使几何元素一致,基准统一。处理层次不局限于元素层次,保证了信息的完整性,融合后的互信息在尺度、纹理、方向上保持一致。其次,在时空同步的条件下,建立点云和图像在几何空间中的关系,在纹理映射约束下,利用交替的“能量传递”进行形状预测和视觉填充,增强三维场景的语义信息;最后,建立了三维建筑信息模型。利用实验结果实时跟踪建筑全生命周期(设计、施工、运行),节省了建筑返工成本,缩短了建筑周期,提高了建筑精度。特别是基于BIM的新型冠状病毒肺炎:分析医院空间资源管理及弹性功能构建传染病医院医疗单位模式;传染病医院医疗流程的模拟与优化快速建设装配式传染病急救医院;模拟医院感染路径及动态;现有医院传染病治疗辅助设计与施工医院感染安全操作的监测分析与自动控制。
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