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铝电解数字孪生体构建及应用研究 被引量:2

Research on construction and application of digital twin in aluminum electrolysis
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摘要 智能制造与传统铝电解技术的深度融合,引领着铝电解行业可持续发展,但是当前铝电解实体装备与数据模型缺乏有效映射,阻碍了铝电解行业智慧转型的步伐。因此,本文将数字孪生技术与铝电解生产技术有机结合,开展铝电解数字孪生体整体架构设计、关键技术研发及应用研究,构建物理实体、虚拟模型、孪生数据、智能决策服务及虚拟-现实交互连接五维模型。铝电解物理实体划分为电解厂、电解车间及电解设备三个层级,通过三维场景数字化建模、离线物理场建模及动态仿真数学建模,映射与之对应的虚拟模型。使用交互连接技术进行物理实体与虚拟模型实时同步孪生数据,部署铝电解数字孪生体原型系统,实现铝电解生产环节虚实映射,为铝电解行业数字化、智能化转型提供了先进思路与技术方法。 The deep integration of intelligent manufacturing and traditional aluminum electrolysis technology lead the sustainable development of aluminum electrolysis industry. At present, the lack of effective mapping between physical equipment and data models hindered the pace of intelligent transformation of aluminum electrolysis industry. Herein, combining digital twin technology and aluminum electrolysis technology, the architecture of digital twin in aluminum electrolysis was designed, the key technology and application were researched and developed. This study constructed a five-dimensional model of physical entities, virtual models, twin data,intelligent decision services, and interactive connection. Physical entities of aluminum electrolysis were divided into three levels: plant, workshop and equipment. Through scene modeling, physical field modeling and dynamic simulation modeling, the virtual models corresponding to the physical entities were mapped. Synchronized twin data between physical entities and virtual models was realized by interactive connection technology. The deployed prototype system of digital twin realized the virtual-real mapping of aluminum electrolysis production, and provided advanced ideas and technical methods for the digital and intelligent transformation of aluminum electrolysis industry.
作者 李劼 罗若木 彭晨 冉岭 张红亮 LI Jie;LUO Ruomu;PENG Chen;RAN Ling;ZHANG Hongliang(School of Metallurgy and Environment,Central South University,Changsha 410083,China;National Engineering Research Center for Low-Carbon Nonferrous Metallurgy,Changsha 410083,China)
出处 《中南大学学报(自然科学版)》 EI CAS CSCD 北大核心 2023年第2期710-719,共10页 Journal of Central South University:Science and Technology
基金 国家重点研发计划项目(2022YFB3304902) 云南省重大科技专项项目(202202AB080017) 国家自然科学基金资助项目(U2202253) 中国工程院战略研究与咨询项目(2022-XY-143) 中南大学前沿交叉项目(2023QYJC007) 湖南省研究生科研创新项目(CX20220223)。
关键词 铝电解 智能制造 数字孪生 动态仿真 aluminum electrolysis intelligent manufacturing digital twin dynamic simulation
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