云制造环境下机床资源优化配置研究

发布时间：2018-04-17 21:07

本文选题：云制造 + 机床资源　；参考：《哈尔滨理工大学》2015年硕士论文

【摘要】：机床是装备制造业的重要组成部分,我国机床工业在迅速发展的同时,也面临机床资源闲置和资源匮乏并存的问题。在这样的背景下,云制造作为一种新型的制造模式受到广泛关注。本文为解决云制造环境下面向切削加工任务的机床资源优化配置问题,从机床资源优化配置体系和过程、云环境下机床资源汇聚模式、切削加工任务需求分析方法、机床资源搜索流程及方法以及机床资源优选等几个方面进行了深入研究。根据云环境的分布式特点,构建基于P2P网络的五层机床资源优化配置体系架构,面向用户切削加工任务,对机床资源优化配置过程进行了分析;依据机床资源复杂性和分散性的特点,结合机床资源的功能特征,按照不同类型将机床资源进行汇聚,建立面向应用的两层Chord环路的机床资源汇聚结构。依据机床资源优化配置体系,建立分布式网络环境下机床资源的搜索流程。依据加工制造任务的对象特性,建立切削加工任务模型,阐述了任务分解的方法。给出了切削加工任务需求分析方法,建立满足任务要求的机床需求信息模型。依据建立的两层多环Chord资源环路,给出机床资源搜索方法。为保证获得最优的机床资源,重点研究机床资源的优选方法。建立机床资源优选的评价指标体系,利用模糊一致关系确定各评价因素的权重。依据建立的评价指标体系,考虑切削加工过程中的物流因素,建立机床资源多目标优选函数,根据遗传算法进行求解,并对算法的性能进行分析和验证。最后结合以上研究,建立切削加工资源云服务门户系统,采用面向对象的编程方法进行各功能模块的设计和功能实现,通过一个切削加工实例对机床资源优化配置的过程进行了验证。
[Abstract]:Machine tool is an important part of equipment manufacturing industry. With the rapid development of machine tool industry in China, the machine tool industry also faces the problem of idle machine tool resources and resource scarcity.In this context, cloud manufacturing as a new manufacturing model has received extensive attention.In this paper, in order to solve the problem of machine tool resource optimal allocation for cutting task in cloud manufacturing environment, the system and process of machine tool resource optimization allocation, the model of machine tool resource convergence under cloud environment, and the method of cutting task demand analysis are discussed in this paper.The process and method of machine tool resource search and the selection of machine tool resource are studied in detail.According to the distributed characteristics of cloud environment, a five-layer machine tool resource optimization configuration architecture based on P2P network is constructed, and the process of machine tool resource optimization allocation is analyzed, which is oriented to the task of user cutting.According to the characteristics of complexity and dispersion of machine tool resources and the functional characteristics of machine tool resources, the machine tool resources are converged according to different types, and the structure of machine tool resources convergence based on two-layer Chord loop for application is established.According to the optimal allocation system of machine tool resources, the search flow of machine tool resources under distributed network environment is established.According to the object characteristics of manufacturing task, the cutting task model is established and the method of task decomposition is expounded.The requirement analysis method of cutting task is given, and the information model of machine tool requirement is established to meet the task requirement.According to the two-layer multi-loop Chord resource loop, the searching method of machine tool resource is given.In order to obtain the best machine tool resource, the method of machine tool resource optimization is studied.The evaluation index system of machine tool resource selection is established, and the weight of each evaluation factor is determined by fuzzy consistent relation.According to the established evaluation index system, considering the logistics factors in the cutting process, the multi-objective optimal selection function of machine tool resources is established, which is solved according to genetic algorithm, and the performance of the algorithm is analyzed and verified.Finally, based on the above research, the cloud service portal system of cutting resources is established, and the design and realization of each function module are carried out by using the object-oriented programming method.The process of optimizing the allocation of machine tool resources is verified by a machining example.
【学位授予单位】：哈尔滨理工大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TH16

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