用工业数字孪生模型自动生成生产规划代码，工程师无需懂专业语法。
From Capability Models to Automated Planning: An AAS-Native Approach for Automatic PDDL Generation
- 从资产壳能力模型直接提取规划所需信息，不依赖PDDL专有结构。
- 在实验室产线四类布局上验证，自动规划可系统比较设计优劣。
- 适合未受过规划训练的生产工程师快速评估产线布局方案。
生产系统设计需验证布局能否支持所有生产流程。自动化规划可解答此类问题，但用规划领域定义语言（PDDL）建模需专业知识，而生产工程师通常不具备。资产行政壳（AAS）作为工业4.0中工业资产的标准化数字孪生已广泛应用。本文表明，基于四大工业4.0标准（VDI 3682、IEC 61360-1、IDTA 02011、IDTA 02016）结构化的AAS能力模型，包含生成完整PDDL规划问题所需全部信息。与以往引入PDDL专用子模型的方法不同，本方法从资源功能的领域级描述——即“能力”中直接推导所有规划元素，使工程师无需接触PDDL语法或规划概念即可建模。我们的提取算法将分布式多AAS架构转换为完整的PDDL规划问题。在实验室产线的AAS模型上验证该方法，通过最优规划对比四种布局变体，展示工程师如何通过修改AAS模型并重新生成规划域，系统性探索设计权衡。
原文摘要 · Abstract (English)
Engineers designing production systems need to verify that a given layout supports all required production sequences. Automated planning techniques can answer such questions, but formulating the required planning problems in the Planning Domain Definition Language (PDDL) demands specialized expertise that production engineers typically lack. Asset Administration Shells (AAS) have emerged as the standardized Digital Twin for industrial assets in Industry 4.0. We show that AAS capability models, structured using four established Industry 4.0 standards (VDI 3682 for process descriptions, IEC 61360-1 for semantic property qualification, IDTA 02011 for type hierarchies, and IDTA 02016 for instance descriptions), contain sufficient information to generate complete PDDL problems automatically. Unlike prior work that introduced PDDL-specific submodels, our approach derives all planning elements from domain-level descriptions of resource functions, so-called capabilities, allowing engineers to model capabilities without any exposure to PDDL syntax or planning concepts. Our extraction algorithm transforms distributed Multi-AAS architectures into complete PDDL planning problems. We validate the approach on AAS models of a laboratory production system, comparing four layout variants using optimal planning to demonstrate how engineers can systematically explore design trade-offs by modifying the AAS model and regenerating the planning domain
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