首页> 外文OA文献 >A parametric-assisted method for 3D generation of as-built BIM models for the built heritage
【2h】

A parametric-assisted method for 3D generation of as-built BIM models for the built heritage

机译:用于建筑遗产的3B生成的BIM模型的参数辅助方法

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

The paper outlines a parametric-assisted method for the 3D reconstruction and creation of BIM models for the built heritage. The research implements the emerging paradigms of open sourcing, cloud computing and interoperability, employing low-cost technologies (digital photogrammetry) and open source software (Grasshopper for Rhinoceros) which can ease the accessibility to a potential reuse of heritage, typically requiring high specialists and expensive equipment. The research examines the abandoned Albergo Diurno “Venezia” in Milan, heritage with a unique architectural value – a blend of Liberty and Art Deco styles. The process of 3D reconstruction of the ceiling is described. Custom algorithms have been developed to automatically rebuild the complex and irregular geometry from mesh, towards the creation of a NURBS-based 3D model. It is shown how the proposed methodology can streamline the process of data elaboration by reducing arbitrary operations and improve accuracy to preserve geometric irregularities. The associative model allows the automatic improvement in the model definition when more precise input data is feeding the algorithm, offering the opportunity to relate the precision of BIM models in accordance with the needed level of detail (LOD).
机译:本文概述了用于建筑遗产的3D重建和BIM模型创建的参数辅助方法。这项研究采用低成本技术(数字摄影测量法)和开源软件(用于Rhinoceros的Grasshopper),实现了开放源代码,云计算和互操作性的新兴范例,这可以简化对潜在的遗产重用的访问,通常需要高级专家和专家。昂贵的设备。该研究考察了米兰废弃的Albergo Diurno“ Venezia”,这是具有独特建筑价值的遗产-自由和装饰艺术风格的融合。描述了天花板的3D重建过程。已开发了自定义算法,以自动从网格重建复杂和不规则的几何形状,从而创建基于NURBS的3D模型。展示了所提出的方法如何通过减少任意操作并提高精度以保留几何不规则性来简化数据精心制作的过程。当更精确的输入数据输入算法时,关联模型可以自动改进模型定义,从而提供了根据所需的详细程度(LOD)关联BIM模型的精度的机会。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号