过程工程中的数字双胞胎:计算和数值方法概述

IF 3.9 2区 工程技术 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Luisa Peterson , Ion Victor Gosea , Peter Benner , Kai Sundmacher
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引用次数: 0

摘要

数字孪生(DT)是一种自动化策略,它将物理工厂与自适应实时模拟环境相结合,两者通过双向通信连接。在流程工程中,数字孪生有望实现实时监控、未来条件预测、预测性维护、流程优化和控制。然而,在现实中,DT 的全面实施往往会失败。为了解决这个问题,我们首先研究了 DTs 的各种定义及其核心组件,然后回顾了 DTs 目前在流程工程中的应用。然后,我们将讨论成功实施 DTs 所需的仿真环境的计算和数值挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Digital twins in process engineering: An overview on computational and numerical methods
A digital twin (DT) is an automation strategy that combines a physical plant with an adaptive real-time simulation environment, where both are connected by bidirectional communication. In process engineering, DTs promise real-time monitoring, prediction of future conditions, predictive maintenance, process optimization, and control. However, the full implementation of DTs often fails in reality. To address this issue, we first examine various definitions of DTs and its core components, followed by a review of its current applications in process engineering. We then turn to the computational and numerical challenges for building the simulation environments necessary for successful DTs implementation
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来源期刊
Computers & Chemical Engineering
Computers & Chemical Engineering 工程技术-工程:化工
CiteScore
8.70
自引率
14.00%
发文量
374
审稿时长
70 days
期刊介绍: Computers & Chemical Engineering is primarily a journal of record for new developments in the application of computing and systems technology to chemical engineering problems.
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