摘要
BIM建筑建模的数据量在不断的增大使得传统BIM调度模型在功能上不再满足细节上的要求,并且传统调度模型具有访问速度慢,参数调控效率低,操作时间长等缺点。所以,论文提出基于可视化特征提取的BIM信息调度模型,将原点到重心的距离作为可视化特征进行提取。对覆盖以及重叠部分和形状进行分析处理,再利用全局优化法筛选最优节点来插入新的对象。通过空间聚簇划分算法,通过获得的可视化特征完成R树的动态优化,从而达到BIM信息调度模型。实验结果表明,论文提出的算法模型调度性、耗时短具有很好的实用性。
BIM building modeling data in the continuous increase makes the traditional BIM scheduling model in the functionno longer meet the details of the requirements,and the traditional scheduling model access speed is slow,low efficiency parametercontrol,long operation time and other shortcomings. Therefore,this paper proposes a BIM information scheduling model based onvisual feature extraction,and extracts the distance from the origin to the center of gravity as a visual feature. The overlay and overlap?ping parts and shapes are analyzed and processed,and the global optimization method is used to filter the optimal nodes to insertnew objects. Through the spatial clustering algorithm,the dynamic optimization of R tree is completed by the visualization feature,so as to achieve the BIM information scheduling model. The experimental results show that the algorithm proposed in this paper hasa very good practicality.
出处
《计算机与数字工程》
2017年第11期2285-2289,共5页
Computer & Digital Engineering
基金
青年科学基金项目"移动互联网下耦合MP2P文件共享网络的级联实效与修复策略研究"(编号:61602418)资助
关键词
BIM
可视化提取
动态优化
信息调度模型
BIM,visual extraction,dynamic optimization,information scheduling model