本文以绍兴地区高铁站为案例,探索性的将三维激光点云建模和无人机倾斜摄影技术应用于城市地上地下空间的三维建模,深入研究了激光点云数据处理、BIM(building information model)建模,以及倾斜摄影三维建模和修模的方法。鉴于地面与地...本文以绍兴地区高铁站为案例,探索性的将三维激光点云建模和无人机倾斜摄影技术应用于城市地上地下空间的三维建模,深入研究了激光点云数据处理、BIM(building information model)建模,以及倾斜摄影三维建模和修模的方法。鉴于地面与地下三维模型难以集成且精度不高的问题,提出了地上地下BIM三维模型一体化的解决方法及相应工作流程。研究结果表明:该三维一体化模型的精度符合空间建筑物测绘的相关规范要求,为城市空间一体化集成建模提供了有价值的经验,具有广泛推广应用的潜力。展开更多
In view of the limitations of traditional measurement methods in the field of building information,such as complex operation,low timeliness and poor accuracy,a new way of combining three-dimensional scanning technolog...In view of the limitations of traditional measurement methods in the field of building information,such as complex operation,low timeliness and poor accuracy,a new way of combining three-dimensional scanning technology and BIM(Building Information Modeling)model was discussed.Focused on the efficient acquisition of building geometric information using the fast-developing 3D point cloud technology,an improved deep learning-based 3D point cloud recognition method was proposed.The method optimised the network structure based on RandLA-Net to adapt to the large-scale point cloud processing requirements,while the semantic and instance features of the point cloud were integrated to significantly improve the recognition accuracy and provide a precise basis for BIM model remodeling.In addition,a visual BIM model generation system was developed,which systematically transformed the point cloud recognition results into BIM component parameters,automatically constructed BIM models,and promoted the open sharing and secondary development of models.The research results not only effectively promote the automation process of converting 3D point cloud data to refined BIM models,but also provide important technical support for promoting building informatisation and accelerating the construction of smart cities,showing a wide range of application potential and practical value.展开更多
文摘本文以绍兴地区高铁站为案例,探索性的将三维激光点云建模和无人机倾斜摄影技术应用于城市地上地下空间的三维建模,深入研究了激光点云数据处理、BIM(building information model)建模,以及倾斜摄影三维建模和修模的方法。鉴于地面与地下三维模型难以集成且精度不高的问题,提出了地上地下BIM三维模型一体化的解决方法及相应工作流程。研究结果表明:该三维一体化模型的精度符合空间建筑物测绘的相关规范要求,为城市空间一体化集成建模提供了有价值的经验,具有广泛推广应用的潜力。
文摘In view of the limitations of traditional measurement methods in the field of building information,such as complex operation,low timeliness and poor accuracy,a new way of combining three-dimensional scanning technology and BIM(Building Information Modeling)model was discussed.Focused on the efficient acquisition of building geometric information using the fast-developing 3D point cloud technology,an improved deep learning-based 3D point cloud recognition method was proposed.The method optimised the network structure based on RandLA-Net to adapt to the large-scale point cloud processing requirements,while the semantic and instance features of the point cloud were integrated to significantly improve the recognition accuracy and provide a precise basis for BIM model remodeling.In addition,a visual BIM model generation system was developed,which systematically transformed the point cloud recognition results into BIM component parameters,automatically constructed BIM models,and promoted the open sharing and secondary development of models.The research results not only effectively promote the automation process of converting 3D point cloud data to refined BIM models,but also provide important technical support for promoting building informatisation and accelerating the construction of smart cities,showing a wide range of application potential and practical value.
