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作 者:吕培[1] 陈伟超 张权 徐明亮[1] 黄龙 郭晨冰[3] 周兵[1] Lyu Pei;Chen Weichao;Zhang Quan;Xu Mingliang;Huang Long;Guo Chenbing;Zhou Bing(School of Information Engineering,Zhengzhou University,Zhengzhou 450000;Military Representatives Bureau of Naval Equipment Department in Zhengzhou,Zhengzhou 450000;713 Institute of China Shipbuilding Industry Corporation,Zhengzhou 450000)
机构地区:[1]郑州大学信息工程学院,郑州450000 [2]海军装备部驻郑州地区军事代表室,郑州450000 [3]中国船舶重工集团公司第七一三研究所,郑州450000
出 处:《计算机辅助设计与图形学学报》2021年第9期1337-1348,共12页Journal of Computer-Aided Design & Computer Graphics
基 金:国家自然科学基金(61772474,61822701,6182324);河南省高校科技创新人才培养计划(20HASTIT021).
摘 要:为高效求解舰船舱室的空间布局优化问题,提出基于群组运动仿真和张量场的交互式布局设计与优化方法.首先使用基于图像的流动可视化算法(image based flow visualization,IBFV)分析空间布局域中的张量场,计算特征向量并生成舰船通道网,得到以该通道网为基础的舱室空间布局;然后通过群组仿真算法模拟不同人员在舱室空间布局域内的行为活动,进而评价船员在舱室中的移动性和舒适性.在得到一系列舰船通道网和群组仿真数据结果之后,分别建立通道网中通道宽度、通道间距与群组仿真结果中移动性代价值、舒适性代价值之间的映射关系,并以群组运动仿真评估结果作为评价指标交互迭代调整张量场特征参数,最终得到舱室空间布局优化结果.实验结果表明,文中方法有效地建立了张量场与群组运动仿真之间的映射关系,对比遗传算法和层次分析评价法,能够快速、高效地设计出符合人类活动的高质量的舱室空间布局.In order to solve the space layout optimization problem of ship cabin efficiently,an interactive lay-out design and optimization method based on crowd simulation and tensor field is proposed.Firstly,the image based flow visualization algorithm is used to analyze the tensor field of the space layout domain,which calcu-lates the eigenvector and generates the road network of ship,and obtain the cabin space layout based on the road network.Secondly,the crowd simulation algorithm is used to simulate the behavioral activities of the crowd in the cabin space,and then to evaluate the mobility and coziness of the crowd in the ship cabin space.After obtaining a series of road network of ship and results of crowd simulation,the mapping relationship be-tween road width and road spacing in road network and mobility value and comfort value in crowd simulation results is established respectively.The results of crowd simulation are used as evaluation criterion to interac-tively and iteratively adjust the characteristic parameters of tensor field.The experimental results show that the proposed method effectively establishes the mapping relationship between tensor field and crowd simulation.Compared with genetic algorithm and analytic hierarchy process,it can quickly and efficiently design high-quality cabin space layout in line with human activities demand.
分 类 号:TP391.41[自动化与计算机技术—计算机应用技术]
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