基于数字孪生的工业过程建模与计算机并行仿真优化

Industrial Process Modeling and Computer Parallel Simulation Optimization Based on Digital Twins

摘要

数字孪生技术作为连接物理实体与虚拟模型的核心技术载体，以虚实映射、实时交互、动态迭代的特点，为工业过程建模提供了强大的技术支撑。应用该技术进行工业过程建模，即可以摒弃传统建模方式的弊端，也能够大幅提升模型构建精准度，继而为工业流程的深度优化提供了有力的决策与参考依据。基于此，本文将基于数字孪生视角，系统阐述整合工业多源数据与数据融合治理、基于虚实协同构建仿真模型、模型全生命周期迭代优化的关键建模技术，提出技术体系架构搭建、仿真联动机制完善、工业流程深度优化的具体实施路径，旨在为工业生产流程的提质增效与智能制造水平的提升提供理论借鉴与参考。

Abstract

As a core technological carrier connecting physical entities and virtual models, digital twin technology provides powerful technical support for industrial process modeling with the characteristics of virtual-real mapping, real-time interaction, and dynamic iteration. Applying this technology to industrial process modeling not only eliminates the drawbacks of traditional modeling methods but also significantly enhances the accuracy of model construction, thereby providing a strong decision-making and reference basis for the deep optimization of industrial processes. Based on this, this paper will systematically elaborate on the key modeling technologies of integrating industrial multi-source data and data fusion governance, constructing simulation models based on virtual-real collaboration, and iterative optimization of the model throughout its lifecycle. It proposes specific implementation paths for building a technical system architecture, improving simulation linkage mechanisms, and deep optimization of industrial processes, aiming to provide theoretical references and insights for enhancing the quality and efficiency of industrial production processes and improving the level of intelligent manufacturing.

关键词

数字孪生 / 工业过程建模 / 计算机 / 并行仿真 / 优化策略

Key words

digital twin / industrial process modeling / computer / parallel simulation / optimization strategy

参考文献

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