Research on Digital Design and Operation-Maintenance System for High-End Machine Tools in the Human-Centric Intelligent Manufacturing Metaverse for Industry 5.0
Year: 2026
Type: conference-paper
Abstract: Industrial 5.0, with human-centric intelligent manufacturing at its core, emphasizes the deep integration of technology with human needs and sustainable social development. The metaverse technology provides a new platform for achieving virtual-real interaction and production-consumption synergy in the full lifecycle management of high-end machine tools. Currently, China's high-end machine tools face significant shortcomings in digital design, intelligent operation and maintenance, and industrial ecosystem collaboration, making it difficult to meet the demand for high-precision, high-reliability equipment in fields such as aerospace and national defense. Based on the human-centric intelligent manufacturing concept of Industrial 5.0 and metaverse technology, this paper constructs a digital design and operation and maintenance system for high-end machine tools: in the design phase, a forward design platform integrating digital twins, AR/VR, and AI is proposed to achieve multidisciplinary collaborative design and virtual-real interaction verification; in the operation and maintenance phase, an intelligent operation and maintenance system based on the industrial metaverse is established, integrating equipment health management, predictive maintenance, and remote collaboration functions; at the industrial ecosystem level, a production-consumption synergy innovation mechanism is designed to promote user deep participation in product iteration. Through a five-axis linkage CNC machine tool case, the system can reduce the design cycle by 30%, shorten the operation and maintenance response time by 40%, and increase the Overall Equipment Effectiveness (OEE) to over 90%, providing a technical pathway for China's high-end machine tool industry to break through foreign technological monopolies and build an independent and controllable industrial ecosystem.
Authors: Ying Wang, Long Chen, Jingying Li, Mingwei Sun, Rui Han
Language: English
Subfield: Industrial and Manufacturing Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W7204190915