重大装备形性一体化数字孪生关键技术

doi:10.3901/JME.2022.10.298

机械工程学报 ›› 2022, Vol. 58 ›› Issue (10): 298-325.doi: 10.3901/JME.2022.10.298

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重大装备形性一体化数字孪生关键技术

宋学官, 来孝楠, 何西旺, 杨亮亮, 孙伟, 郭东明

大连理工大学机械工程学院大连 116024

收稿日期:2021-09-28 修回日期:2022-03-25 出版日期:2022-05-20 发布日期:2022-07-07
通讯作者: 宋学官(通信作者)，男，1982年出生，博士，教授，博士研究生导师。主要研究方向为多学科耦合建模与优化设计、工业大数据挖掘及数据驱动的预测技术、装备智能化与数字孪生。E-mail：sxg@dlut.edu.cn
作者简介:来孝楠，男，1992年出生，博士研究生。主要研究方向为数字孪生系统集成和机器学习。E-mail：laixiaonan0910@163.com;何西旺，男，1996年出生，博士研究生。主要研究方向为基于降阶模型的数字孪生技术。E-mail：wsxw1014@mail.dlut.edu.cn;杨亮亮，男，1994年出生，博士研究生。主要研究方向为面向数字孪生的信号处理。E-mail：liangzai5358@163.com;孙伟，男，1967年出生，博士，教授，博士研究生导师。主要研究方向为多学科协同设计方法、高性能装配、重大装备智能运维、数字孪生技术。E-mail：sunwei@dlut.edu.cn;郭东明，男，1959年出生，教授，博士研究生导师，中国工程院院士。主要研究方向为精密超精密加工与高性能制造。E-mail：guodm@dlut.edu.cn
基金资助:
国家自然科学基金(52075068)和国家重点研发计划(2018YFB1700704)资助项目。

Key Technologies of Shape-performance Integrated Digital Twin for Major Equipment

SONG Xueguan, LAI Xiaonan, HE Xiwang, YANG Liangliang, SUN Wei, GUO Dongming

School of Mechanical Engineering, Dalian University of Technology, Dalian 116024

Received:2021-09-28 Revised:2022-03-25 Online:2022-05-20 Published:2022-07-07

摘要/Abstract

摘要： 重大装备形态和性能的精准预测与分析是实现其智能化和自主创新的关键技术之一。数字孪生作为连接物理世界和数字世界的纽带,可用于在数字世界中建立物理实体材料选择、结构设计、加工制造和运维管理的全生命周期真实镜像。面向重大装备几何形态和结构力学性能,通过分析当前建立数字孪生的需求与难点,提出机理模型与实测数据联合驱动的"算测融合"解决方案;综合考虑孪生模型的时效性与准确性要求,构建重大装备"形性一体化"的数字孪生框架。详细论述当前构建重大装备数字孪生所面临的"算不了"、"算不准"、"算不快"、"测不了"、"测不全"和"测不准"六个具体问题,并给出相关解决方案和关键技术。通过典型案例验证了所提框架与关键技术的可行性与有效性,为数字孪生在重大装备中的落地应用提供了理论和技术参考。最后,探讨了重大装备数字孪生的未来发展趋势和所面临的进一步挑战。

关键词: 数字孪生, 重大装备, 形性一体, 算测融合, 机理模型, 实测数据

Abstract: Accurate prediction and reliable analysis of morphology and performance of major equipment is one of the key technologies to realize its intelligence and independent innovation. As a link connecting the physical world and the digital world, digital twin can realize true mirror of the whole life for material design of physical entity, structure design, manufacturing, and operation and maintenance management in digital space. Facing the geometric morphology and mechanical performance of major equipment, and analyzing the difficulties in establishing its digital twin, a solution of “computation -measurement combination” based on measurement data and mechanism model is proposed. Considering the timeliness and accuracy requirements of the twin model, a shape-performance integration digital twin(SPI-DT) framework for major equipment is built. Additionally, six specific problems faced by building the digital twin of major equipment are discussed in detail, including “unrealizable calculation”, “inaccurate calculation”, “delayed calculation”, “unmeasurable data”, “incomplete measurement” and “inaccurate measurement”, and the relevant solutions and key technologies are given. The feasibility and validity of the proposed framework and key technologies are described by combining typical case, which provides a theoretical and methodical reference for the further application of digital twin in major equipment. Finally, the future development trend and further challenges of digital twin of major equipment are discussed.

Key words: digital twin, major equipment, computation-measurement combination, shape-performance integration, mechanism model, measurement data

中图分类号:

TH11
TP391

宋学官, 来孝楠, 何西旺, 杨亮亮, 孙伟, 郭东明. 重大装备形性一体化数字孪生关键技术[J]. 机械工程学报, 2022, 58(10): 298-325.

SONG Xueguan, LAI Xiaonan, HE Xiwang, YANG Liangliang, SUN Wei, GUO Dongming. Key Technologies of Shape-performance Integrated Digital Twin for Major Equipment[J]. Journal of Mechanical Engineering, 2022, 58(10): 298-325.

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重大装备形性一体化数字孪生关键技术

Key Technologies of Shape-performance Integrated Digital Twin for Major Equipment

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