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作 者:陈银娟 张春燕[1,2] 吴琦 陶帅 CHEN Yinjuan;ZHANG Chunyan;WU Qi;TAO Shuai(School of Mechanical Engineering,Jiangsu University of Science and Technology,Zhenjiang Jiangsu 212003,China;Jiangsu Provincial Key Laboratory of Advanced Manufacturing of Machinery and Equipment,Zhenjiang Jiangsu 212003,China)
机构地区:[1]江苏科技大学机械工程学院,江苏镇江212003 [2]江苏省船海机械装备先进制造及工艺重点实验室,江苏镇江212003
出 处:《机床与液压》2024年第12期91-97,126,共8页Machine Tool & Hydraulics
摘 要:针对混流大型生产装配车间配送调控能力差、配送过程监控困难、运输资源消耗大等问题,提出一种基于遗传算法的数字孪生车间的物料配送方法。建立物理配送与孪生配送实时交互的数字孪生车间物料配送多目标模型,根据物料清单使用遗传算法生成初始物料配送方案,在搭建的孪生车间中对初始配送方案进行仿真优化,并采用数字孪生模型监测设备配送情况并解决配送过程中出现的突发情况。最后以某柴油机装配车间物料配送为例,证明了遗传算法结合数字孪生的装配车间物料配送方案能合理安排物料运输,降低了起重机运输时间,提高了AGV工作安全性,优化车间配送系统性能。In view of the problems of poor distribution control ability,difficulty in monitoring the distribution process,and large consumption of transportation resources of mixed-flow large-scale assembly workshop,a material delivery method was proposed for digital twin workshop based on genetic algorithm.A multi-objective model of digital twin workshop material distribution was established based on the real-time interaction between physical distribution and twin distribution,genetic algorithm was used to generate the initial material distribution plan according to the bill of material,the initial distribution plan was simulated and optimized in the twin workshop,and the digital twin model was used to monitor the distribution situation of equipment and to solve the unexpected situations in the distribution process in time.Finally,taking the material distribution of a diesel engine assembly workshop as an example,it is proved that the genetic algorithm combined with the digital twin assembly workshop material distribution scheme can reasonably arrange material transportation,the crane transportation time is reduced,the safety of AGV work is improved,and the performance of workshop distribution system is optimized.
分 类 号:TH17[机械工程—机械制造及自动化]
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