基于BIM的大空间结构检查面划分及智能抽样优化  

BIM-based Inspection Surface Delineation and Intelligent Sampling Optimization for Large Space Structures

作　　者：沈君冰 马海峰 白瑜 王祺麟 王志强[1] SHEN Junbing;MA Haifeng;BAI Yu;WANG Qilin;WANG Zhiqiang(China Construction Eighth Engineering Division Corp.,Ltd.,Shanghai 200120,China)

机构地区：[1]中国建筑第八工程局有限公司,上海200120

出　　处：《绿色建筑》2024年第5期161-164,共4页Green Building

基　　金：中国建筑第八工程局有限公司上海分公司2020年度科技研发项目“基于BIM的施工质量验收系统(钢结构工程)”(2020-04)。

摘　　要：为了实现质量验收的标准化、智能化,以提高施工验收管理效率的施工质量验收系统越来越多。基于原有验收系统中BIM模型的处理特点,确定新的检验批划分依据与原则,从而实现智能抽样。同时,使得BIM模型在大空间结构检查面上也能保证系统智能化的检验批划分与抽样符合相关验收规范及现场验收的实际情况,使基于BIM的质量验收系统更广泛地适用于施工验收,提高项目数字建筑水平。In order to realize the standardization and intelligence of quality acceptance,and improve the efficiency of construction acceptance management,more and more construction quality acceptance systems are developed.Based on the processing characteristics of BIM model in the original acceptance system,the new inspection batch division basis and principles are determined,so as to realize intelligent sampling.At the same time,the BIM model can also ensure that the intelligent inspection batch division and sampling of the system conform to the relevant acceptance specifications and the actual situation of on-site acceptance,so that the quality acceptance system based on BIM is more widely applicable to construction acceptance and improves the level of digital construction projects.

关 键 词：大空间结构 检查面划分 智能抽样 BIM技术 

分 类 号：TU712.3[建筑科学—建筑技术科学]