利用生成式人工智能和大语言模型进行过程系统工程:最新进展综述

IF 3.2 4区 工程技术 Q2 CHEMISTRY, MULTIDISCIPLINARY
TaeYong Woo, SangYoun Kim, Shahzeb Tariq, SungKu Heo, ChangKyoo Yoo
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引用次数: 0

摘要

过程系统工程(PSE)长期以来一直被认为是化学工程中通过数学建模、优化和控制来提高过程效率的关键学科。工业4.0的出现通过将PSE与创新的数字工具(包括大数据分析、人工智能(AI)和机器学习)集成在一起,推动了PSE的发展。在这种情况下,大型语言模型(llm)是最先进的人工智能技术,代表了能够在PSE中推进自动化、过程优化和知识提取的变革性生成人工智能(GenAI)技术。然而,法学硕士在PSE中的应用尚处于起步阶段,并受到数据质量、可解释性和可扩展性等挑战的限制。尽管如此,法学硕士的应用有望推动PSE研究取得重大进展,包括化学过程设计、混合过程建模、自主控制系统和多尺度优化。本文旨在介绍LLM和GenAI,并探讨LLM如何通过提供创新的数字解决方案(如数据丰富和与数字双胞胎的无缝集成)来克服PSE研究的传统局限性。这项研究强调了llm在改变PSE方法和引领该领域进入化学工程4.0新时代方面的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Leveraging Generative AI and Large Language Model for Process Systems Engineering: A State-of-the-Art Review

Process systems engineering (PSE) has long been recognized as a critical discipline in chemical engineering for improving process efficiency through mathematical modeling, optimization, and control. The advent of Industry 4.0 has advanced PSE by integrating it with innovative digital tools, including big data analytics, artificial intelligence (AI), and machine learning. In this context, large language models (LLMs), which are state-of-the-art AI techniques, represent transformative generative AI (GenAI) technologies capable of advancing automation, process optimization, and knowledge extraction in PSE. However, the application of LLMs in PSE is in its nascent stage and is constrained by challenges, such as data quality, interpretability, and scalability. Nonetheless, the application of LLMs is expected to foster significant progress in PSE research, including chemical process design, hybrid process modeling, autonomous control systems, and multiscale optimization. This review aims to provide an introduction to LLM and GenAI and explore how LLMs have been utilized to overcome the traditional limitations of PSE research by offering innovative digital solutions, such as data enrichment and seamless integration with digital twins. This study highlights the potential of LLMs to transform PSE methodologies and lead the field into a new era of Chemical Engineering 4.0.

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来源期刊
Korean Journal of Chemical Engineering
Korean Journal of Chemical Engineering 工程技术-工程:化工
CiteScore
4.60
自引率
11.10%
发文量
310
审稿时长
4.7 months
期刊介绍: The Korean Journal of Chemical Engineering provides a global forum for the dissemination of research in chemical engineering. The Journal publishes significant research results obtained in the Asia-Pacific region, and simultaneously introduces recent technical progress made in other areas of the world to this region. Submitted research papers must be of potential industrial significance and specifically concerned with chemical engineering. The editors will give preference to papers having a clearly stated practical scope and applicability in the areas of chemical engineering, and to those where new theoretical concepts are supported by new experimental details. The Journal also regularly publishes featured reviews on emerging and industrially important subjects of chemical engineering as well as selected papers presented at international conferences on the subjects.
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