面向航天智能制造的全域异构数据集成技术及应用  

Technology and Application of Global Heterogeneous Data Integration for Intelligent Aerospace Manufacturing

作　　者：程辉 张志军 罗京 王涛 吕红亚 郑雨洲 吕佑龙 CHENG Hui;ZHANG Zhijun;LUO Jing;WANG Tao;LYU Hongya;ZHENG Yuzhou;LYU Youlong(Shanghai Aerospace Equipments Manufacturer Co.,Ltd.,Shanghai 200245,China;Shanghai Academy of Spaceflight Technology,Shanghai 201109,China;Institute of Artificial Intelligence,Donghua University,Shanghai 201620,China)

机构地区：[1]上海航天设备制造总厂有限公司,上海200245 [2]上海航天技术研究院,上海201109 [3]东华大学人工智能学院,上海201620

出　　处：《上海航天(中英文)》2025年第2期67-82,共16页Aerospace Shanghai(Chinese&English)

摘　　要：数据要素是航天智能制造的重要驱动力。围绕航天复杂构件制造过程中的多源异构数据集成与分析优化需求,提出了航天智能制造的全域数据集成框架,涵盖数据采集、数据处理与建模、数据分析与优化等关键技术。针对航天制造全流程中多源异构数据的时空耦合特性,提出了包括多维度索引建模、多尺度数据对齐和时间尺度转换的制造数据融合体系,提升数据处理效率和整合能力;针对航天制造过程中包含的复杂运行规律,提出了基于关系网络模型和图神经网络去卷积算法,提高对制造过程的分析能力。最后,提出了数据分析在航天智能制造中的典型应用场景以及案例分析,验证本文中提出方法的有效性。Data elements serve as a crucial driver for intelligent aerospace manufacturing.This paper proposes a comprehensive data integration framework tailored to the needs of heterogeneous data integration and optimization in the manufacturing of complex aerospace components,including the key techniques such as data acquisition,data processing and modeling,and data analysis and optimization.In response to the spatio-temporal coupling characteristics of multi-source heterogeneous data in the whole process of aerospace manufacturing,a manufacturing data fusion system is proposed to improve the data processing efficiency and integration capabilities such as multi-dimensional index modeling,multi-scale data alignment,and time-scale transformation.Regarding the complex operating laws contained in the aerospace manufacturing process,an algorithm based on the relational network model and graph neural network deconvolution is proposed to enhance the analysis ability of the manufacturing process.Finally,typical application scenarios of data analysis in aerospace intelligent manufacturing are presented,along with case studies that validate the effectiveness of the methods proposed in the paper.

关 键 词：数据驱动 智能制造 航天制造 异构数据集成 制造过程优化 

分 类 号：TN911.73[电子电信—通信与信息系统] TP391[电子电信—信息与通信工程]