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An IIoT-driven and AI-enabled framework for smart manufacturing system based on three-terminal collaborative platform
Advanced Engineering Informatics ( IF 8.0 ) Pub Date : 2021-08-10 , DOI: 10.1016/j.aei.2021.101370
Lingguo Bu 1, 2 , Yanjie Zhang 3 , Heshan Liu 4 , Xin Yuan 4 , Jia Guo 4 , Su Han 4
Affiliation  

Smart manufacturing has great potential in the development of network collaboration, mass personalised customisation, sustainability and flexibility. Customised production can better meet the dynamic user needs, and network collaboration can significantly improve production efficiency. Industrial internet of things (IIoT) and artificial intelligence (AI) have penetrated the manufacturing environment, improving production efficiency and facilitating customised and collaborative production. However, these technologies are isolated and dispersed in the applications of machine design and manufacturing processes. It is a challenge to integrate AI and IIoT technologies based on the platform, to develop autonomous connect manufacturing machines (ACMMs), matching with smart manufacturing and to facilitate the smart manufacturing services (SMSs) from the overall product life cycle. This paper firstly proposes a three-terminal collaborative platform (TTCP) consisting of cloud servers, embedded controllers and mobile terminals to integrate AI and IIoT technologies for the ACMM design. Then, based on the ACMMs, a framework for SMS to generate more IIoT-driven and AI-enabled services is presented. Finally, as an illustrative case, a more autonomous engraving machine and a smart manufacturing scenario are designed through the above-mentioned method. This case implements basic engraving functions along with AI-enabled automatic detection of broken tool service for collaborative production, remote human-machine interface service for customised production and network collaboration, and energy consumption analysis service for production optimisation. The systematic method proposed can provide some inspirations for the manufacturing industry to generate SMSs and facilitate the optimisation production and customised and collaborative production.



中文翻译:

基于三端协同平台的工业物联网驱动、人工智能赋能的智能制造系统框架

智能制造在网络协作、大规模个性化定制、可持续性和灵活性的发展方面具有巨大潜力。定制化生产更能满足动态的用户需求,网络协同可显着提高生产效率。工业物联网(IIoT)和人工智能(AI)已经渗透到制造环境,提高了生产效率,促进了定制化和协同生产。然而,这些技术在机器设计和制造过程的应用中是孤立和分散的。基于平台集成人工智能和工业物联网技术,开发自主连接制造机器(ACMM)是一项挑战,与智能制造相匹配,从整个产品生命周期促进智能制造服务(SMS)。本文首先提出了一个由云服务器、嵌入式控制器和移动终端组成的三端协同平台(TTCP),以集成 AI 和 IIoT 技术用于 ACMM 设计。然后,基于 ACMM,提出了一个 SMS 框架,以生成更多 IIoT 驱动和 AI 支持的服务。最后,作为说明性案例,通过上述方法设计了更具自主性的雕刻机和智能制造场景。本案例实现了基本的雕刻功能以及用于协同生产的人工智能断刀自动检测服务、用于定制生产和网络协同的远程人机界面服务,以及用于生产优化的能耗分析服务。所提出的系统化方法可以为制造业生成SMS,促进优化生产和定制化协同生产提供一些启示。

更新日期:2021-08-10
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