摘要
对仓库存储空间三维布局的设计,能够高效合理的提高建筑行业的工作效率和经济效益。对存储空间的布局设计,首先需要对三维格局特征进行提取,计算格局特征的综合均值阈值,完成对仓库存储空间三维布局的设计。传统方法构建仓库存储空间三角模型,计算其三维格局特征参数值,但忽略了计算格局特征的综合均值阈值,导致设计效果不理想。提出新的建筑仓库存储空间三维格局特征提取方法,首先建筑仓库存储空间三维格局图像的深度值和对应方差,对三维格局图像进行双重滤波处理;然后计算特征像素灰度均值分布密度均值;最后计算三维格局特征的综合均值阈值,判断特征像素点是否处在边缘,实现对仓库存储空间布局的设计。仿真测试结果表明,所提方法能够保留较为丰富的细节信息特征,实现空间三维布局的优化设计。
This research proposes a feature extraction method for three-dimension pattern for storage space of new construction warehouse. Firstly, our research built image depth value and corresponding variance of three-dimension- al pattern of warehouse storage space to treat three-dimension pattern image with double filtering, and then calculated grey mean value and mean value of distribution density of feature pixel. Finally, the research calculated synthetic mean value and threshold of three-dimension pattern feature to judge if feature pixel was on the edge, thus achieved distribution design of warehouse storage space. The simulation resuhs demonstrate that the method in this paper can hold detail information feature, thereby completed optimal design of space three-dimensional distribution.
作者
庄葛巍
申娟
张静月
姚民
ZHUANG Ge-wei;SHEN Juan;ZHANG Jing-yue;YAO Min(State Grid Shanghai Electric Power Research Institute, Shanghai 200437, China;Shenzhen Clou Electronics Co. ,Ltd. , Shenzhen 518057, China)
出处
《计算机仿真》
北大核心
2017年第11期257-260,338,共5页
Computer Simulation
关键词
仓库存储
三维空间
布局设计
Warehouse storage
Three-dimensional space
Distribution design
