面向MES的离散制造系统可重构技术及其仿真研究

发布时间：2018-03-18 05:32

本文选题：MES　切入点：离散制造车间　出处：《南京理工大学》2017年硕士论文　论文类型：学位论文

【摘要】：随着德国"工业4.0"概念的提出,智能制造在国际上受到广泛的关注。为提高制造业的国际竞争力,我国也以此为契机,提出了"中国制造2025"计划,旨在加快新一代信息技术与制造技术融合发展。我国离散制造企业面对越发多元化、个性化的用户需求,正逐渐从传统的大规模流水线生产模式向单件、小批量、多品种的模式发展。被广泛应用于离散制造企业的MES也正由集成MES向智能MES转变。为提升离散制造企业快速响应市场需求的能力,本文开展了面向MES的离散制造系统可重构技术及其仿真课题的研究。首先在多工件加工工艺约束条件下,提出了对工序和机器分别进行矩阵编码的改进遗传算法,设计了与编码方式相对应的选择、交叉和变异操作,并增加保留算子,对每一代种群中的最优个体进行保留。求得全局近似最优解后,采用插入式贪婪解码算法进行解码,实现对加工工序以及加工机器的安排。然后在改进遗传算法的基础上,对面向MES的离散制造车间生产线重构系统进行设计开发,实现了设备资源管理、工件工序管理和针对不同期望目标重构生产线等功能,通过算例仿真证实该改进算法的有效性。最后通过对加工机器和物流运输设备建模,构建制造车间的三维模型。根据重构结果设置物流运输模型的运动轨迹以及设备模型的加工流程,实现对重构结果的可视化仿真,对合理安排离散制造车间的物流系统、加工次序等具有实用参考价值。
[Abstract]:With the development of the concept of "industry 4.0" in Germany, intelligent manufacturing has received extensive attention in the world. In order to improve the international competitiveness of manufacturing industry, China has also taken this opportunity to put forward the "made in China 2025" plan. In order to speed up the development of the new generation of information technology and manufacturing technology, the discrete manufacturing enterprises in our country are facing more and more diversified and individualized user needs, which are gradually changing from the traditional large-scale pipeline production mode to the single piece and small batch production mode. MES, which is widely used in discrete manufacturing enterprises, is changing from integrated MES to intelligent MES. In this paper, the reconfigurable technology of discrete manufacturing system oriented to MES and its simulation subject are studied. Firstly, an improved genetic algorithm for matrix coding of processes and machines is proposed under the condition of multi-workpiece processing process constraints. The selection, crossover and mutation operations corresponding to the coding mode are designed, and the reservation operator is added to preserve the optimal individuals in each generation population. After the global approximate optimal solution is obtained, the insertion greedy decoding algorithm is used to decode it. Then on the basis of improved genetic algorithm, the reconfiguration system of discrete manufacturing workshop production line oriented to MES is designed and developed, and the equipment resource management is realized. The process management of workpiece and the reconstruction of production line according to different expected targets, the effectiveness of the improved algorithm is verified by numerical simulation. Finally, the modeling of machining machine and logistics transportation equipment is carried out. The 3D model of manufacturing workshop is constructed. According to the result of reconfiguration, the movement track of logistics transportation model and the processing flow of equipment model are set up, the visual simulation of reconfiguration result is realized, and the logistics system of discrete manufacturing workshop is arranged reasonably. Processing order has practical reference value.
【学位授予单位】：南京理工大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TB49

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