铜业工程:2026(2):99-107
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冶炼工序三维数字孪生可视化技术研究与轻量化改进
杨德宸, 崔景瑞, 郭春宜, 应科, 刘晔
(江西铜锐信息技术有限公司,江西 南昌 330096)
Application of 3D Digital Twin Visualization Technology and Model Lightweighting in Smelting Process
YANG Dechen, CUI Jingrui, GUO Chunyi, YING Ke, LIU Ye
(Jiangxi Tongrui Information Technology Co.,Ltd.,Nanchang 330096,China)
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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.
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