信息增益算法在BIM碰撞决策分析中的应用
Application of information gain algorithm in BIM collision and decision comparison
谢轩 1于干 2涂劲松 1葛卫清2
作者信息
- 1. 皖西学院 建筑与土木工程学院,安徽 六安 237012
- 2. 阜阳师范大学 信息工程学院,安徽 阜阳 236037
- 折叠
摘要
以重点工程科技楼建设项目为例,通过建立建筑信息模型((Building Information Modeling,BIM),运用信息增益算法,研究多专业参数化模型构件在常规碰撞及复杂碰撞情况下BIM系统对结果的自决及人工决策情况.通过对算法结果进行分析可知,在常规三大项碰撞中,BIM对问题的自我决策结果大多可在项目中直接应用,自决率高,总体自决率达到 85.71%;在面对复杂碰撞情况中,人工后期干预决策率远高于BIM自决结果,达到了 62.5%.两大类碰撞环境与数据特征明显,对利用数字手段指导建筑工程应用难点起到很好的示范指导作用.
Abstract
Taking the key engineering science and technology building construction project as an example,by establishing building information model(BIM)and using information gain algorithm,this paper studies the result self-determination and arti-ficial decision of multi-specialty parametric model components under conventional collision and complex collision.Through the analysis of the algorithm results,it is concluded that most of the self-decision results of BIM on the problem can be directly ap-plied in the project in the three major conventional collision,and the self-determination rate is high reaching 85.71%.In the face of complex collision,the decision rate of manual late intervention is much higher than that of BIM self-determination,reaching 62.5%.The two types of collision environments and data have obvious characteristics,which play a good demonstration role in guiding the application of digital means in construction engineering.
关键词
BIM技术/信息增益/碰撞检查/自决率/人工干预Key words
BIM technology/information gain/collision check/the rate of self-determination/manual intervention引用本文复制引用
基金项目
安徽省重点研究与开发计划项目(2022l07020005)
出版年
2024
NETL
NSTL
万方数据