en.Wedoany.com Reported - XCMG Excavator Leading Factory leverages digital twin and AI technologies to drive manufacturing upgrades. This national-level "Digital Leading Enterprise" is undergoing transformation through automation, lean management, and digital intelligence at its smart factory.
In the automation phase, nearly 100 AGVs shuttle back and forth, enabling automatic obstacle avoidance, docking, and material loading/unloading. After employees scan a code, the AGV automatically retrieves items from the warehouse and delivers them precisely. The automatic assembly point technology for medium excavator boom arms is an industry first, controlling assembly point gaps within high-precision ranges. The automatic grinding robot "walks while watching" based on adaptive path planning algorithms, capturing 3D weld information in real time and adjusting grinding trajectories and postures online. The online intelligent weld inspection system, independently developed by the company and an industry first, uses millimeter-precision probes to automatically scan welds, outputting a "diagnostic report" for fully automated inspection of critical welds.
In lean management, the lean manufacturing control tower within the centralized control center enables integrated command. On the smart operations dashboard, indicators from ten business modules—including planned logistics, manufacturing execution, equipment energy, and safety and environmental protection—update in real time, ensuring transparent management of production factors across the entire process.
In the digital intelligence phase, the 3D digital twin of the boring and milling workstation in the machining workshop collects "health indicators" such as vibration and spindle power in real time, building an adaptive machining control model for equipment to accurately identify and automatically adjust cutting parameters. The fully automatic spraying robot in the painting workshop has a virtual mirror highly consistent with the physical entity, replicating the entire spraying process in the cloud for process visualization, data traceability, and refined quality control.
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