用标准化接口让大模型直接调用制造资源，省去繁琐建模。
Beyond Formal Semantics for Capabilities and Skills: Model Context Protocol in Manufacturing
- 通过MCP协议暴露功能，让大模型直接调用制造资源。
- 在实验系统中实现多步任务规划与执行，成功处理约束条件。
- 适合想用大模型驱动自动化但不想手动建语义模型的工程师。
显式建模能力与技能（无论基于本体、资产管理壳或其他技术）需要大量人工投入，且常难以被大语言模型（LLMs）直接使用。本文提出一种基于新近提出的模型上下文协议（Model Context Protocol, MCP）的替代方案。MCP 使系统可通过标准化接口暴露功能，供基于大模型的智能体直接消费。我们在实验室规模的制造系统上进行原型评估，将资源功能通过 MCP 可见。随后，一个通用大模型被赋予多步骤流程规划与执行任务，包括约束处理及通过 MCP 调用资源函数。结果表明，该方法可在无需显式语义模型的情况下实现灵活的工业自动化。本工作为探索大模型驱动生产系统中的外部工具集成奠定了基础。
原文摘要 · Abstract (English)
Explicit modeling of capabilities and skills -- whether based on ontologies, Asset Administration Shells, or other technologies -- requires considerable manual effort and often results in representations that are not easily accessible to Large Language Models (LLMs). In this work-in-progress paper, we present an alternative approach based on the recently introduced Model Context Protocol (MCP). MCP allows systems to expose functionality through a standardized interface that is directly consumable by LLM-based agents. We conduct a prototypical evaluation on a laboratory-scale manufacturing system, where resource functions are made available via MCP. A general-purpose LLM is then tasked with planning and executing a multi-step process, including constraint handling and the invocation of resource functions via MCP. The results indicate that such an approach can enable flexible industrial automation without relying on explicit semantic models. This work lays the basis for further exploration of external tool integration in LLM-driven production systems.
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