Field-level Industrial Network Systems for Aircraft Final Assembly: Architecture, Key Technologies, and Applications
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摘要: 面对复杂系统装配对高精度、高时效协同的迫切需求, 飞机总装制造亟需构建具备感知−传输−控制一体化能力的现场级工业网络系统. 为此, 本文率先建立现场级网络控制系统容量模型, 提出双向融合−协同管控的工业互联网新型架构. 围绕感知、传输、计算与控制的全链条任务闭环, 系统构建多维时效性综合评价指标体系, 深入探索多域异构资源的联合调度与协同优化机制. 最后, 面向飞机总装过程中活动面动态测量与多工序协同优化, 设计并实现高保真数字孪生验证平台, 有效支撑了理论模型、控制策略与实际部署之间的闭环映射.
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关键词:
- 现场级工业网络系统 /
- 感知−传输−控制一体化 /
- 系统容量 /
- 综合指标 /
- 联合设计
Abstract: To address the urgent demand for high-precision and time-sensitive collaboration in complex system assembly, aircraft final assembly manufacturing calls for the development of field-level industrial network systems with integrated sensing, transmission, and control capabilities. This paper takes the lead in establishing a networked control system capacity model specifically designed for field-level industrial networks, and proposes a novel industrial internet architecture featuring bidirectional fusion and coordinated control. Focusing on the full-task closed-loop chain of sensing, transmission, computation, and control, a comprehensive multi-dimensional timeliness evaluation index system is constructed, and cross-domain heterogeneous resource joint scheduling and optimization mechanisms are systematically explored. Finally, focusing on dynamic measurement of active surfaces and multi-process collaborative optimization in aircraft final assembly, a high-fidelity digital twin validation platform is designed and implemented to effectively support the closed-loop mapping among theoretical models, control strategies, and practical deployment. -
图 1 感知测度−通信容量−系统容量相互关系图
Fig. 1 Diagram of the interrelationship among sensing measure, communication capacity and system capacity
图 2 现场级双向融合−协同管控的工业网络系统架构
Fig. 2 Architecture of field-level industrial network systems with bidirectional fusion and coordinated control
图 6 可观性条件逼近转化与高效寻优
Fig. 6 Approximate transformation of observability condition and efficient optimization
图 8 面向安全估计的干扰规避传输路径选择方法
Fig. 8 Interference avoidance transmission path selection method for secure estimation
图 9 基于AoT的采样−调度−控制联合设计框架
Fig. 9 Co-design framework of sampling, scheduling and control based on AoT
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