Benjamin Decardi-Nelson , Abdulelah S. Alshehri , Akshay Ajagekar , Fengqi You
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引用次数: 0
Abstract
This review article explores how emerging generative artificial intelligence (GenAI) models, such as large language models (LLMs), can enhance solution methodologies within process systems engineering (PSE). These cutting-edge GenAI models, particularly foundation models (FMs), which are pre-trained on extensive, general-purpose datasets, offer versatile adaptability for a broad range of tasks, including responding to queries, image generation, and complex decision-making. Given the close relationship between advancements in PSE and developments in computing and systems technologies, exploring the synergy between GenAI and PSE is essential. We begin our discussion with a compact overview of both classic and emerging GenAI models, including FMs, and then dive into their applications within key PSE domains: synthesis and design, optimization and integration, and process monitoring and control. In each domain, we explore how GenAI models could potentially advance PSE methodologies, providing insights and prospects for each area. Furthermore, the article identifies and discusses potential challenges in fully leveraging GenAI within PSE, including multiscale modeling, data requirements, evaluation metrics and benchmarks, and trust and safety, thereby deepening the discourse on effective GenAI integration into systems analysis, design, optimization, operations, monitoring, and control. This paper provides a guide for future research focused on the applications of emerging GenAI in PSE.
这篇综述文章探讨了新兴的生成式人工智能(GenAI)模型(如大型语言模型(LLM))如何能够增强流程系统工程(PSE)中的解决方案方法。这些前沿的 GenAI 模型,尤其是在广泛的通用数据集上预先训练的基础模型 (FM),为广泛的任务提供了多功能的适应性,包括响应查询、图像生成和复杂决策。鉴于 PSE 的进步与计算和系统技术的发展之间的密切关系,探索 GenAI 与 PSE 之间的协同作用至关重要。我们首先简要概述了经典和新兴的 GenAI 模型(包括调频模型),然后深入探讨了它们在关键 PSE 领域的应用:合成与设计、优化与集成以及流程监控。在每个领域,我们都探讨了 GenAI 模型如何有可能推进 PSE 方法,为每个领域提供了见解和前景。此外,文章还指出并讨论了在 PSE 中充分利用 GenAI 所面临的潜在挑战,包括多尺度建模、数据要求、评估指标和基准以及信任和安全,从而深化了有关将 GenAI 有效集成到系统分析、设计、优化、运营、监测和控制中的讨论。本文为未来研究提供了指南,重点关注新兴 GenAI 在 PSE 中的应用。
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.