Content 1: Industrial Interconnection and Digital Twin Manufacturing Systems

Aiming at the real-time synchronization and closed-loop control between physical assets and virtual models in complex manufacturing scenarios, this research focuses on cloud-edge collaborative digital twin modeling methods under the industrial Internet architecture. It explores key technologies including high-speed fusion of multi-source heterogeneous data and deterministic network communications (TSN/5G/6G), and constructs high-fidelity, low-latency and evolvable digital twin manufacturing systems to support closed-loop intelligent decision-making for equipment health management, process parameter optimization and production line virtual commissioning.

Content 2: Industrial Embodied Intelligence and Lean Production Systems

To meet the differentiated requirements of robot morphology and operation capabilities in various industrial environments, this research investigates scenario-adapted ontology design and key technologies of industrial embodied robots, and explores the implementation paths of embodied intelligence methods such as Vision-Language-Action (VLA) models and world models in industrial scenarios. On this basis, aiming at the future human-machine integration and ultra-flexible production modes, it studies the in-depth integration mechanism of embodied robots and lean production systems, and constructs adaptive and reconfigurable next-generation intelligent production systems.