摘要
为了解决工程造价的分析预测问题,提出了一种基于GA(Genetic Algoritlm)网络模型的BIM(Building Information Modeling)辅助分析方法.此方法采用BIM软件获取工程特征向量,借助GA模型进行训练并在网络稳定后输出工程造价预测值.针对恒祥城小区20栋高层住宅展开实验,当B17-B19的GA预测结果和B17-B19的实际工程造价非常接近时,GA达到了稳定.据此,可以预测出B20的工程造价为2393.51(元/m^2),为B20的施工和市场销售提供了有效的依据.实验结果显示,提出的GA模型结合BIM辅助分析方法,可以准确便捷地完成工程造价的预测.
In order to solve the problem of analysis and prediction of engineering cost,a BIM(Building Information Modeling)-aided analysis method based on GA network model is proposed in this paper.In this method,BIM software is used to acquire loud engineering features,and GA model is used to train and give engineering cost prediction value after network stability.An experiment was carried out on a tall building with 20 storeys in Hengxiangcheng Residential District.When the GA prediction results of B17-B19 were very close to the actual cost,GA reached stability.Accordingly,the building cost of the B20 project was predicted to be 2393.51 yuan/m^2,which provided an effective basis for the construction and marketing of B20.In conclusion,the proposed GA model combined with BIM-assistant analysis can accurately and conveniently complete the project cost prediction.
作者
张冰心
ZHANG Bing-xin(College of Material and Architecture Engineering,Guizhou Normal University,Guiyang 550025,China)
出处
《西南大学学报（自然科学版）》
CAS
CSCD
北大核心
2019年第11期120-124,共5页
Journal of Southwest University(Natural Science Edition)
基金
国家自然科学基金项目(51869005)
关键词
GA模型
工程造价
BIM
辅助分析
GA model
engineering cost
BIM(Building Information Modeling)
aided analysis
作者简介
张冰心(1968-),女,硕士,副教授,主要从事创新、职业教育、工程管理、环保工程管理的研究.
