基于人工智能的航空产品交付管理信息系统架构设计
Design of an Information System Architecture Based on Artificial Intelligence for Aircraft Product Delivery Management
摘要: 航空产品交付管理的数字化和智能化转型是适应新形势下高质量发展的需要。本文以航空产品交付管理为研究对象，针对航空产品交付管理的工作内容和基本特点，提出一种“三阶五段”交付流程模型，设计了基于人工智能的以“基础层–运营层–应用层”为内核的标准化信息系统架构。通过该信息系统架构实施应用的交装PAD系统、交付管理系统、交付管控中心为航空产品交付计划准时执行、交付问题高效处置、配套保障装备高效交付、技术状态有效管控以及用户需求及时响应提供了支撑保障，并可为其他航空复杂产品的数字化和智能化交付提供标准化方法和技术参考。
Abstract: The digital and intelligent transformation of aircraft product delivery management is essential to meet the demands of high-quality development. This paper focuses on aircraft product delivery management and, based on the operational characteristics and requirements of this domain, proposes a “three-stage, five-phase” delivery process model and designs a standardized information system architecture based on artificial intelligence, centered on a “foundation layer-operation layer-application layer” framework. The implementation of the delivery PAD system, delivery management system, and delivery control center within this architecture provides effective support for the timely execution of delivery plans, efficient handling of delivery issues, high-efficiency delivery of support equipment, effective configuration management, and prompt response to user requirements. Furthermore, the proposed architecture offers standardized methods and technical references for the digital and intelligent delivery of other complex aircraft products.
文章引用：吴磊, 张志远, 毛煜, 黄星翰, 刘玉玲. 基于人工智能的航空产品交付管理信息系统架构设计[J]. 计算机科学与应用, 2026, 16(4): 126-135. https://doi.org/10.12677/csa.2026.164115

参考文献

[1] 国家市场监督管理总局, 国家标准化管理委员会. 信息化和工业化融合 数字化转型 价值效益参考模型: GB/T 23011-2022 [S]. 北京: 中国标准出版社, 2022.
[2] Loonam, J., Eaves, S., Kumar, V. and Parry, G. (2018) Towards Digital Transformation: Lessons Learned from Traditional Organizations. Strategic Change, 27, 101-109. [Google Scholar] [CrossRef] 
[3] Reis, J., Amorim, M., Melão, N. and Matos, P. (2018) Digital Transformation: A Literature Review and Guidelines for Future Research. In: Rocha, Á., Adeli, H., Reis, L.P. and Costanzo, S., Eds., Trends and Advances in Information Systems and Technologies, Springer, 411-421. [Google Scholar] [CrossRef] 
[4] Hanelt, A., Bohnsack, R., Marz, D. and Antunes Marante, C. (2020) A Systematic Review of the Literature on Digital Transformation: Insights and Implications for Strategy and Organizational Change. Journal of Management Studies, 58, 1159-1197. [Google Scholar] [CrossRef] 
[5] Koumas, M., Dossou, P. and Didier, J. (2021) Digital Transformation of Small and Medium Sized Enterprises Production Manufacturing. Journal of Software Engineering and Applications, 14, 607-630. [Google Scholar] [CrossRef] 
[6] 任超, 张帅, 张菲. 面向数字化的航空制造企业生产管控模式分析[J]. 中国管理信息化, 2020, 23(20): 77-79.
[7] 高毅, 明振东, 张雅霏, 等. 航空公司数字化转型现状及标准内容研究[J]. 标准应用研究, 2023(S1): 139-144.
[8] US Department of Defense (2019) Summary of the 2018 Department of Defense Artificial Intelligence Strategy. Department of Defense.
[9] Nilson, N.J. (1974) Artificial Intelligence. In: Rosenfeld, J.L., Ed., Information Processing 74: Proceedings of the IFIP Congress 1974. \North-Holland Publishing Company, 778-801.
[10] 雷宏杰, 姚呈康. 面向军事应用的航空人工智能技术架构研究[J]. 导航定位与授时, 2020, 7(1): 1-11.
[11] 卢新来, 杜子亮, 许赟. 航空人工智能概念与应用发展综述[J]. 航空学报, 2021, 42(4): 525150.
[12] 张鹏. 基于人工智能的航空虚拟仿真实训系统设计[J]. 自动化与仪器仪表, 2021(9): 112-115.
[13] 常笑, 贾晓亮, 刘恬. 数字孪生与设计知识库驱动的飞机装配生产线设计及应用[J]. 航空制造技术, 2020, 63(20): 20-28.
[14] Atluru, S., Huang, S.H. and Snyder, J.P. (2011) A Smart Machine Supervisory System Framework. The International Journal of Advanced Manufacturing Technology, 58, 563-572. [Google Scholar] [CrossRef] 
[15] 郭飞燕, 刘检华, 邹方, 等. 数字孪生驱动的装配工艺设计现状及关键实现技术研究[J]. 机械工程学报, 2019, 55(17): 110-132.
[16] Schleich, B., Anwer, N., Mathieu, L. and Wartzack, S. (2017) Shaping the Digital Twin for Design and Production Engineering. CIRP Annals, 66, 141-144. [Google Scholar] [CrossRef] 
[17] Ferguson, S., Bennett, E. and Ivashchenko, A. (2017) Digital Twin Tackles Design Challenges. World Pumps, 2017, 26-28. [Google Scholar] [CrossRef] 
[18] 江海凡, 丁国富, 张剑. 数字孪生车间演化机理及运行机制[J]. 中国机械工程, 2020, 31(7): 824-832.
[19] 李浩, 王昊琪, 刘根, 等. 工业数字孪生系统的概念、系统结构与运行模式[J]. 计算机集成制造系统, 2021, 27(12): 3373-3390.
[20] 陶飞, 张萌, 程江峰, 等. 数字孪生车间——一种未来车间运行模式[J]. 计算机集成制造系统, 2017, 23(1): 1-9.
[21] Schroeder, G.N., Steinmetz, C., Pereira, C.E. and Espindola, D.B. (2016) Digital Twin Data Modeling with Automationml and a Communication Methodology for Data Exchange. IFAC-PapersOnLine, 49, 12-17. [Google Scholar] [CrossRef] 
[22] 杜宝瑞, 王勃, 赵璐, 等. 航空智能工厂的基本特征与框架体系[J]. 航空制造技术, 2015(8): 26-31.
[23] Singh, S., Shehab, E., Higgins, N., Fowler, K., Erkoyuncu, J.A. and Gadd, P. (2021) Towards Information Management Framework for Digital Twin in Aircraft Manufacturing. Procedia CIRP, 96, 163-168. [Google Scholar] [CrossRef] 
[24] 李伯虎, 张霖, 王时龙, 等. 云制造-面向服务的网络化制造新模式[J]. 计算机集成制造系统, 2010, 16(1): 1-7, 16.
[25] 李伯虎, 柴旭东, 侯宝存, 等. 云制造系统3.0-一种“智能+”时代的新智能制造系统[J]. 计算机集成制造系统, 2019, 25(12): 2997-3012.
[26] 吕佑龙, 张洁. 基于大数据的智慧工厂技术框架[J]. 计算机集成制造系统, 2016, 22(11): 2691-2697.
[27] 庄亚明. 数字化工厂信息系统结构研究[J]. 计算机与应用化学, 2005, 22(8): 696-698.
[28] 李明凯, 刘鑫, 徐亮. 装备数字化运维管理系统设计与实现[J]. 工业控制计算机, 2022, 35(12): 139-140.
[29] 陈振, 丁晓, 章文, 等. 飞机设计更改执行流程管理系统的设计与实现[J]. 航空制造技术, 2018, 61(21): 90-93, 99.
[30] 丁炜. 大型客机协同制造供应商交付规范系统设计与实现[D]: [硕士学位论文]. 上海: 上海交通大学, 2016.