面向智能工厂切碎器生产线建模与仿真优化  

Modeling and Simulation Optimization of Mincer Production Line for Intelligent Factory

作　　者：郭志喜 牛鹏飞 郭峻源 王洲 Guo Zhixi;Niu Pengfei;Guo Junyuan;Wang Zhou(Instrumentation Technology&Economy Institute,Beijing 100055,China)

机构地区：[1]机械工业仪器仪表综合技术经济研究所,北京100055

出　　处：《机电工程技术》2024年第9期90-95,共6页Mechanical & Electrical Engineering Technology

基　　金：国家重点研发计划(2022YFB3305000)。

摘　　要：智能工厂中机加工、焊接和装配三阶段生产过程中,存在一种物料供给不确定环境下多资源调度问题。为解决此类问题,提出一种基于Plant Simulation软件的生产系统建模与仿真优化方法。首先,利用面向对象的仿真建模技术和信息模型建模方法,通过对车间中生产单元、工艺布局、物流资源等对象进行数字描述,实现物理空间向数字空间中的虚拟映射,构建出生产线仿真模型;其次,采用遗传算法和迪杰斯特拉算法相结合的方式,以配送路线最短为优化目标,从而得到最优配送路线;然后,采用启发式算法,在多规则调度约束下,以完工期最短为优化目标,得到合理配送资源及生产调度策略;最后,以一个实际切碎器加工车间为案例,证明该方法的实用性和有效性,在实际生产前给予相应的管控策略。In the process of machining,welding and assembly in smart factory,there is a multi-resource scheduling problem under uncertain material supply environment.In order to solve these problems,a method of production system modeling and simulation optimization based on Plant Simulation software is proposed.Firstly,by using object-oriented simulation modeling technology and information modeling method,the production unit,process layout,logistics resources and other objects in the workshop are digitally described to realize the virtual mapping from physical space to digital space,and the production line simulation model is constructed.Secondly,the combination of genetic algorithm and Dijkstra algorithm is used to optimize the shortest distribution route,so as to get the optimal distribution route.Then,a rational distribution resource and production scheduling strategy are obtained by using a heuristic algorithm and taking the shortest completion period as the optimization goal under multi-rule scheduling constraints.Finally,the practicability and effectiveness of the method are proved by a case study of an actual shredder workshop,and corresponding control strategies are given before the actual production.

关 键 词：切碎器 Plant Simulation 建模仿真 生产调度 

分 类 号：TP24[自动化与计算机技术—检测技术与自动化装置] TP25[自动化与计算机技术—控制科学与工程]