基于多源异构数据的形状-性能耦合数字孪生:以剪式升降平台为例

IF 8.7 2区 工程技术 Q1 Mathematics Engineering with Computers Pub Date : 2024-07-29 DOI:10.1007/s00366-024-02035-6
Hongjiang Lu, Zenggui Gao, Yanning Sun, Chaojia Gao, Zifeng Xu, Yunjie Pan, Lilan Liu
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引用次数: 0

摘要

数字孪生,是指利用数字技术在物理区域和数字区域之间建立映射联系,以实现即时信息传输,从而进行监控、优化或决策。数字孪生已成为确保结构安全的重要工具。然而,在结构安全监控中实现时间序列的实时预测具有挑战性,对来自众多来源的异构数据进行动态合成也是如此。本研究提出了一种形状-性能耦合数字孪生(SPC-DT)模型,该模型整合了来自不同来源的异构数据。该模型结合了结构分析、降阶处理和人工智能技术,整合了几何、性能和传感器数据。其目的是实现对结构性能的动态监测。此外,通过构建剪叉式升降平台的 SPC-DT 模型作为示例,完成了物理空间和数字空间的部署。通过比较测量结果、有限元计算结果和 SPC-DT 模型预测结果,验证了模型的有效性。作为验证过程的一部分,还进行了相关性和误差分析。SPC-DT 模型大大减少了对复杂重型机械进行性能研究的时间。例如,与有限元计算相比,SPC-DT 预测为剪叉式升降机的结构预测节省了超过 255 倍的时间成本。这为机械结构和系统安全监测创造了新的机遇。
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Shape-performance coupled digital twin based on heterogeneous data from multiple sources: a scissor lift platform example

Digital twin, a concept of establishing mapping linkages between physical and digital areas using digital technology to achieve instantaneous information transfer for monitoring, optimization or decision-making. Digital twins has emerged as a crucial instrument for ensuring structural safety. However, achieving real-time prediction in time series for structural safety monitoring is challenging, as is the dynamic synthesis of heterogeneous data from numerous sources. This study presents a shape-performance coupled digital twin (SPC-DT) model that integrates heterogeneous data from various sources. The model combines structural analysis, reduced-order processing, and artificial intelligence techniques to incorporate geometric, performance, and sensor data. The aim is to enable dynamic monitoring of structural performance. Furthermore, the deployment of physical space and digital space was accomplished by constructing the SPC-DT model of the scissor lift platform as an illustrative example. The model's effectiveness was validated by a comparison of the measured results, the finite element calculation results, and the SPC-DT model prediction findings. Correlation and error analyses were conducted as part of this verification process. The time required for doing a performance study of complex heavy machinery is greatly decreased by the SPC-DT model. For instance, the SPC-DT prediction saves over 255 times the time cost in the structural prediction of a scissor lift when compared to finite element calculation. This creates a new opportunity for mechanical structure and system safety monitoring.

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来源期刊
Engineering with Computers
Engineering with Computers 工程技术-工程:机械
CiteScore
16.50
自引率
2.30%
发文量
203
审稿时长
9 months
期刊介绍: Engineering with Computers is an international journal dedicated to simulation-based engineering. It features original papers and comprehensive reviews on technologies supporting simulation-based engineering, along with demonstrations of operational simulation-based engineering systems. The journal covers various technical areas such as adaptive simulation techniques, engineering databases, CAD geometry integration, mesh generation, parallel simulation methods, simulation frameworks, user interface technologies, and visualization techniques. It also encompasses a wide range of application areas where engineering technologies are applied, spanning from automotive industry applications to medical device design.
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