基于神经网络模型的数字孪生生产线管理研究
Research on Digital Twin Production Line Management Based on Neural Network Models
凌宇志 1杨昊坤 1张栋梁1
作者信息
- 1. 中海油信息科技有限公司深圳分公司,广东 深圳 518000
- 折叠
摘要
数字孪生技术可以为企业提供数据支持,加速新产品的开发和上市,提升企业的竞争力和市场占有率.对车间生产线进行建模和仿真,可以分析不同生产参数对生产效率和产量的影响,优化生产计划和调度策略,提高生产线的运行效率和经济性.该文结合神经网络模型和数字孪生技术进行生产线管理,以期能够有效降低生产线扰动的危害,提升企业的生产能力和竞争优势.
Abstract
Digital twin technology can provide data support for enterprises,accelerate the development and launch of new products,and enhance their competitiveness and market share.Modeling and simulation of workshop production lines can analyze the impact of different production parameters on production efficiency and output,optimize production plans and scheduling strategies,and improve the operational efficiency and economy of production lines.The article combines neural network models and digital twin technology for production line management,aiming to effectively reduce the harm of production line disturbances,enhance the production capacity and competitive advantage of enterprises.
关键词
数字孪生/神经网络/生产线管理Key words
digital twin/neural networks/production line management引用本文复制引用
出版年
2024
NETL
NSTL
万方数据