BIM building modeling data in the continuous increase makes the traditional BIM scheduling model in the function no longer meet the details of the requirements,and the traditional scheduling model access speed is slow,low efficiency parameter control,long operation time and other shortcomings. Therefore,this paper proposes a BIM information scheduling model based on visual 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 insert new 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 has a very good practicality.%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.
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