首页|信息增益算法在BIM碰撞决策分析中的应用

信息增益算法在BIM碰撞决策分析中的应用

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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.
Application of information gain algorithm in BIM collision and decision comparison
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.

BIM technologyinformation gaincollision checkthe rate of self-determinationmanual intervention

谢轩、于干、涂劲松、葛卫清

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皖西学院 建筑与土木工程学院,安徽 六安 237012

阜阳师范大学 信息工程学院,安徽 阜阳 236037

BIM技术 信息增益 碰撞检查 自决率 人工干预

安徽省重点研究与开发计划项目

2022l07020005

2024

阜阳师范大学学报(自然科学版)
阜阳师范学院

阜阳师范大学学报(自然科学版)

影响因子:0.263
ISSN:1004-4329
年,卷(期):2024.41(3)