6G工业互联驱动的多层级制造网络与自适应协同优化控制方法研究

doi:10.3901/JME.260402

摘要/Abstract

摘要： 面向定制化生产的离散型航空产品制造企业面临的诸如产品复杂度高、物料种类繁多、跨代混线生产、零部件配套关系复杂、数字化水平参差不齐、数据互联壁垒高等瓶颈，导致生产中断频繁发生、快速响应中断难、跨企业协作难，为其均衡生产和准时交付带来了巨大挑战。结合国家航空强国和制造强国重大战略需求，针对我国航空产品制造企业在集团、主机、配套等多层级网络化制造协同能力和中断响应快速恢复能力方面的新需求和挑战，围绕面向交付计划的网络化制造协同体系和智能化管控问题，提出一种6G工业互联驱动的多层级制造网络与自适应协同优化控制方法，通过构建多层级复杂网络广义模型，研究多层级制造网络协同机理，利用人工智能算法分析协同性能，建立变粒度多层级自适应优化控制模型响应中断并快速恢复，为具有主动感知、敏捷响应、协同优化、智能管控的网络化制造协同体系提供重要的理论与技术支持。

关键词: 6G物联网, 工业互联网, 智能制造, 复杂网络, 协同优化

Abstract: Oriented towards customized production, discrete aviation product manufacturing enterprises are faced with bottlenecks such as high product complexity, a wide variety of materials, cross-generation mixed production, complex part-supporting relationships, uneven digitalization levels, and high barriers to data interconnection. These bottlenecks result in the frequent occurrence of production interruptions and the difficulties of rapid response to interruptions and inter-enterprise collaboration, which have brought huge challenges to a balanced production and on-time delivery. The national major strategic needs of aviation power and manufacturing power are combined, which is aimed at the new needs and challenges of China's aviation product manufacturing enterprises such as group, main, and supporting manufacturers in terms of multilevel networked manufacturing collaborative capabilities and the ability to quickly recover from interruptions. The problem of a networked manufacturing collaborative system and its smart control and management towards the delivery plan is focused on, and a 6G Industrial Internet-driven multilevel manufacturing network and self-adaptive collaborative optimal control approach is proposed. A general model of multilevel complex networks is developed, and the collaborative mechanism of multilevel manufacturing networks is studied. Subsequently, artificial intelligence algorithms are used to analyze the collaborative performance, and a variable-granularity multilevel self-adaptive optimal control model is constructed to respond to interruptions and recover quickly. Important theoretical and technical support is provided in this paper for the application of the networked manufacturing collaborative system capable of active perception, agile response, collaborative optimization, smart control, and management.

Key words: 6G Internet of Things, industrial Internet, smart manufacturing, complex networks, collaborative optimization

中图分类号:

TH166

郭振刚, 张映锋, 梁伟聪, 林海峰, 黎小华. 6G工业互联驱动的多层级制造网络与自适应协同优化控制方法研究[J]. 机械工程学报, 2026, 62(11): 90-101.

GUO Zhengang, ZHANG Yingfeng, LIANG Weicong, LIN Haifeng, LI Xiaohua. 6G Industrial Internet Driven Multilevel Manufacturing Networks and Self-adaptive Collaborative Optimal Control Approach[J]. Journal of Mechanical Engineering, 2026, 62(11): 90-101.

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链接本文: http://www.cjmenet.com.cn/CN/10.3901/JME.260402

http://www.cjmenet.com.cn/CN/Y2026/V62/I11/90

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