基于云计算模式的虚拟维修样机几何模型优化  

Optimization of Virtual Maintenance Prototype Geometry Model Based on Cloud Computing Mode

作　　者：朱东方[1] 苏群星[2] 刘鹏远[1] 

机构地区：[1]军械工程学院,石家庄050003 [2]武汉军械士官学校,武汉430075

出　　处：《内蒙古大学学报（自然科学版）》2014年第2期196-201,共6页Journal of Inner Mongolia University：Natural Science Edition

摘　　要：针对虚拟维修样机开发过程中几何模型优化效率低,购置高性能工作站又大量增加成本且易造成硬件资源闲置浪费的问题,提出了一种基于云计算思想的几何模型优化任务并行处理方法.构建了"端—云"模式的虚拟维修样机模型优化平台体系结构,研究了具有层次化结构的几何模型并行优化的任务分解、调度和执行策略,在此基础上设计了平台的负载平衡机制.实验结果表明,该方法能够在不破坏样机模型真实感信息的前提下有效减少模型优化时间,提高几何模型优化效率.The optimization of a Virtual Maintenance Prototype geometry model has very low ef- ficiency,and the purchase of graph work stations is expensive and easy to cause waste. To solve these problem, a distributed geometry model optimization method was proposed based on cloud computing. The construction of the geometry model optimization platform was built. An research on the mission disassembling tactics and executing process is carried out. Based on above work,a load balancing mechanism was designed. It is verified that this simplification method can accelerate the geometry model optimization process and this process does not damage the topology construction of the geometry model.

关 键 词：几何模型优化 虚拟维修样机 任务分解策略 云计算 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]