本文已被:浏览 986次 下载 415次
投稿时间:2025-09-08 修订日期:2025-12-23
投稿时间:2025-09-08 修订日期:2025-12-23
中文摘要: 针对冶金工业冶炼工序高复杂度、高安全要求的生产场景,提出基于Unreal Engine 5(UE5)引擎与像素流推送技术的轻量化三维数字孪生系统架构。通过多级模型轻量化处理、分布式像素流多端部署、实时数据驱动模型构建等关键技术,实现跨平台、低延迟的冶炼工序全流程可视化监控。通过系统集成生产管控、数据驾驶舱、自动巡检及设备拆解功能,实现硬件成本降低40%以上,提升生产效率20%以上,为冶金工业智能化提供可复用的技术路径。
Abstract:Considering high complexity and high safety requirements in the smelting section of metallurgical industry, a lightweight 3D digital twin system architecture based on Unreal Engine 5 (UE5) engine and pixel stream push technology was proposed. Cross-platform low-delay visual monitoring of the whole process of smelting section was realized through key technologies such as multi-level model lightweight processing, multi-terminal deployment of distributed pixel stream and real-time data-driven model construction. The system integrated functions of production control, data cockpit, automatic inspection and equipment disassembly, reducing hardware costs by more than 40% and increasing production efficiency by more than 20%. It provided a general technical path for metallurgical industry intelligence.
keywords: digital twin smelting section Unreal Engine 5 pixel stream integration lightweight model industrial digital model
文章编号:20250908001 中图分类号:TP273;TF088
基金项目:江西铜锐信息技术有限公司科研项目(RD20240401)
引用文本:
杨德宸,崔景瑞,郭春宜,应科,刘 晔.冶炼工序三维数字孪生可视化技术研究与轻量化改进[J].铜业工程,2026,(2):99-107


