An IIoT-driven and AI-enabled framework for smart manufacturing system based on three-terminal collaborative platform. (October 2021)

• Record Type: Journal Article
• Authors: Bu, Lingguo; Zhang, Yanjie; Liu, Heshan; Yuan, Xin; Guo, Jia; Han, Su
• Is Part Of: Advanced engineering informatics. Volume 50(2021)
• Publication Date: 2021-10
• Subjects: Smart manufacturing services -- Autonomous connect manufacturing machine -- Platform-based method -- Framework of smart manufacturing services -- AI-enabled manufacturing service -- Machine learning; AI Artificial Intelligence -- ACMM Autonomous Connect Manufacturing Machine -- MM Manufacturing Machine -- MS Manufacturing Service -- IIoT Industrial Internet of Things -- SMS smart manufacturing system -- TTCP Three-terminal collaborative platform -- ML Machine Learning -- HMI Human Machine Interface -- ARM Advanced RISC Machines -- FPGA Field Programmable Gate Array -- DSP Digital Signal Processing -- DI Digital input -- DO Digital output -- ADC Analog to Digital Converter -- DAC Digital to Analog Converter -- FIR Finite Impulse Response -- IIR Infinite Impulse Response; Computer-aided engineering -- Periodicals; Engineering -- Data processing -- Periodicals; 620.00285
• DOI: 10.1016/j.aei.2021.101370
• Languages: English
• ISSNs: 1474-0346

Abstract

Abstract: 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.