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
沈君冰 1马海峰 1白瑜 1王祺麟 1王志强1
作者信息
- 1. 中国建筑第八工程局有限公司,上海 200120
- 折叠
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.
Abstract
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Key words
large space structure/check polygons/smart sampling/BIM引用本文复制引用
基金项目
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(2020-04)
出版年
2024
NETL
NSTL
万方数据