摘要
针对特种装备总装车间多源异构数据处理时效性差、精度不高,难以支撑特种装备装配制造过程的实时透明化管控难题,提出特种装备总装车间多源异构数据融合处理方法。在分析特种装备总装车间运行数据构成及特性的基础上,融合Multi-Agent技术优势,构建基于Multi-Agent的多源异构数据融合处理框架,并对所涉及的数据层融合、特征层融合方法进行研究;最后通过仿真实例验证了所提方法的可行性和有效性,为特种装备总装车间的智能化运行管控提供了可靠、及时和准确的数据支撑。
This paper addresses the challenge of inadequate timeliness and accuracy in processing multi-source heterogeneous data within special equipment assembly workshops,which tends to hinder real-time transparent management and control during the assembly manufacturing process of specialized equipment.To tackle this,a method for fusing multi-source heterogeneous data in these workshops is proposed with the approach based on an analysis of the composition and characteristics of operational data in these workshops,and the benefits of Multi-Agent technology is applied to construct a framework for data fusion.The research on the methods involved in data layer fusion and feature layer fusion is also conducted.The feasibility and effectiveness of the proposed method are confirmed through simulation examples,thereby providing reliable,timely,and accurate data support for the intelligent operation and control of special equipment assembly workshops.
作者
马军
郭荣玉
徐海军
王玉佩
尹超
MA Jun;GUO Rong-yu;XU Hai-jun;WANG Yu-pei;YIN Chao(Chongqing Tiema Industries Group Co.Ltd.,Chongqing 400050;College of Mechanical and Vehicle Engineering,Chongqing University,Chongqing 400044;32184 Troops of the Chinese People's Liberation Army,Beijing 100093)
出处
《制造业自动化》
2025年第6期144-153,共10页
Manufacturing Automation
基金
国家重点研发计划(2022YFB3306400)
重庆市自然科学基金面上项目(CSTB2022NSCQ-MSX1283)
重庆市技术创新与应用发展专项项目(CSTB2024TIAD-STX0029)
中央高校基本科研业务费(2024CDJZCQ-004,2023CDJKYJH087)。
关键词
特种装备
总装车间
多源数据
融合处理
special equipment
assembly workshop
multi-source data
fusion processing
