数字孪生在线仿真模型验证与参数更新实验平台的设计

Madhu Sudan Sapkota, E. Apeh, M. Hadfield, R. Adey, J. Baynham
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引用次数: 1

摘要

开发物理资产的虚拟副本的过程通常涉及使用标准化参数值来提供物理资产的模拟。虚拟副本的参数也会随着时间的推移不断验证和更新,以响应物理资产的退化和不断变化的环境条件。模拟模型的参数校准通常使用从物理资产指定部分的手动测量读数中获得的数据进行试错。数字缠绕(DT)提供了一种方法,通过该方法可以近乎实时地获得实物资产的验证数据。然而,校准参数以使虚拟副本的模拟输出与物理资产的数据匹配的耗时过程仍然存在。当模拟器的校准是通过使用专家知识分析从物理系统接收的数据来手动执行时,更是如此。由于知识的不完整和验证/校准数据的不一致,应用领域知识更新参数的手动过程容易出错。针对这些不足,本文提出了一种将模拟器与科学软件相结合的实验平台。科学软件提供了仿真数据的读取和可视化,仿真运行过程的自动化,并提供了相关验证和自适应算法的接口。该综合集成平台提供了一个自动化的在线模型验证和自适应环境。提出的平台使用BEASY进行了演示,BEASY是一个模拟器,旨在预测阴极保护(CP)系统对资产提供的保护,以MATLAB作为科学软件。开发的设置通过在DT生态系统中自动化流程,促进了模型验证和CP模型适应的任务。
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DESIGN OF EXPERIMENTS PLATFORM FOR ONLINE SIMULATION MODEL VALIDATION AND PARAMETER UPDATING WITHIN DIGITAL TWINNING
The process of developing a virtual replica of a physical asset usually involves using standardized parameter values to provide simulation of the physical asset. The parameters of the virtual replica are also continuously validated and updated over time in response to the physical asset’s degradation and changing environmental conditions. The parametric calibration of the simulation models is usually made with trial-and-error using data obtained from manual survey readings of designated parts of the physical asset. Digital Twining (DT) has provided a means by which validating data from the physical asset can be obtained in near real time. However, the time-consuming process of calibrating the parameters so the simulation output of the virtual replica matches the data from physical asset persists. This is even more so when the calibration of the simulator is performed manually by analysing the data received from the physical system using expert knowledge. The manual process of applying domain knowledge to update the parameters is error prone due to incompleteness of the knowledge and inconsistency of the validation/calibration data. To address these shortcomings, an experimental platform implemented by integrating a simulator and a scientific software is proposed. The scientific software provides for the reading and visualisation of the simulation data, automation of the simulation running process and provide interface of the relevant validation and adaptive algorithmics. This comprehensive integrated platform provides an automated online model validation and adaptation environment. The proposed platform is demonstrated using BEASY – a simulator designed to predict protection provided by a cathodic protection (CP) system to an asset, with MATLAB as the scientific software. The developed setup facilitates the task of model validation and adaptation of the CP model by automating the process within a DT ecosystem.
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