摘要
为提升基于手动/半自动传统装配模式为主的航天产品装配效率,满足当前快速发展的航天产品研制生产需求,提出了传统模式下航天车间装配线智能管控的体系架构,讨论了装配信息建模、装配关联关系分析、装配进度演化预测、装配智能决策排产等主要内容;详细阐述了基于历史数据及数据分析挖掘算法进行工艺规程生成和工序工时计算的基本方法,探讨了基于装配实时状态的生产进度演化预测、决策及优化排产等技术,初步形成了以手动/半自动为主的航天车间装配生产线智能管控方法,对于后续进一步研究智能管控方法涉及的具体技术和实现方式、开发软件系统和提升装配管控能力具有一定的参考价值。
To improve the assembly efficiency of aerospace products based on traditional assembly mode with manual/semi-automatic operation and meet the current rapid development needs of product development and production,an intelligent management and control method architecture for assembly line in aerospace workshop was put forward,and the main technical contents such as assembly information modeling,assembly relationship analysis,assembly progress evolution and prediction,assembly intelligent decision and production scheduling were discussed.Furthermore,the basic methods of process planning generation and process man-hour calculation based on historical data and data mining algorithm were described in detail,and the technologies of production schedule evolution prediction,decision-making and optimal scheduling based on assembly real-time state were also discussed.Ultimately,the intelligent control method of assembly production line in aerospace work-shop was preliminarily formed based on the intelligent generation of assembly process,analysis and decision-making.It is a certain reference value for the subsequent studying the specific technologies and implementation methods involved in intelligent control methods,developing software systems and improving assembly control capabilities of assembly process.
作者
赵霖
于成龙
王崑声
赵滟
王家胜
ZHAO Lin;YU Chenglong;WANG Kunsheng;ZHAO Yan;WANG Jiasheng(China Aerospace Academy of Systems Science and Engineering,Beijing 100048,China;Institute 706 of the Second Research Academy of CASIC,Beijing 100854,China)
出处
《航空制造技术》
CSCD
北大核心
2022年第7期64-69,共6页
Aeronautical Manufacturing Technology
基金
国防基础科研计划(JCKY2018203A001)。
关键词
离散制造
手动
半自动
装配线
排产
智能管控
Discrete manufacturing
Manual operation
Semi-automatic operation
Assembly line
Production scheduling
Intelligent management and control
