用分层智能体系统自动设计化工流程，提升研发效率。
CeProAgents: A Hierarchical Agents System for Automated Chemical Process Development
- 分三层智能体协同：知识、概念、参数，分工明确。
- 在六类任务中表现优于传统方法，验证系统有效性。
- 适合化工研发人员与自动化流程设计者参考。
化学过程开发是化工工程的核心挑战，因其涉及专业知识、概念设计与参数模拟等多重维度。为此，我们提出 CeProAgents，一种分层多智能体系统，通过协作分工实现化工流程的自动化开发。系统包含三个专精智能体组：知识、概念与参数。为应对化工任务的复杂性，每组采用融合动态聊天群与结构化工作流的新型混合架构。为严格评估系统性能，我们构建了围绕化工工程三大核心支柱的多维基准 CeProBench，设计六类任务以全面评估系统能力。实验结果不仅验证了该方法的有效性与优越性，也揭示了大语言模型在工业化工工程中的变革潜力与当前局限。
原文摘要 · Abstract (English)
The development of chemical processes, a cornerstone of chemical engineering, presents formidable challenges due to its multi-faceted nature, integrating specialized knowledge, conceptual design, and parametric simulation. Capitalizing on this, we propose CeProAgents, a hierarchical multi-agent system designed to automate the development of chemical process through collaborative division of labor. Our architecture comprises three specialized agent cohorts focused on knowledge, concept, and parameter respectively. To effectively adapt to the inherent complexity of chemical tasks, each cohort employs a novel hybrid architecture that integrates dynamic agent chatgroups with structured agentic workflows. To rigorously evaluate the system, we establish CeProBench, a multi-dimensional benchmark structured around three core pillars of chemical engineering. We design six distinct types of tasks across these dimensions to holistically assess the comprehensive capabilities of the system in chemical process development. The results not only confirm the effectiveness and superiority of our proposed approach but also reveal the transformative potential as well as the current boundaries of Large Language Models (LLMs) for industrial chemical engineering.
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