发表机构
University of Stuttgart; Blue Yonder GmbH（斯图加特大学; 蓝云有限公司）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本文提出基于集合论的AAS比较与适用性评估框架，通过识别子模型差异和符合性检查，支持制造业软件服务中的AAS选择。
AI 中文摘要
资产管理壳（AAS）为制造业中表示资产及其信息提供了一种标准化手段，并日益成为软件服务的基础。然而，不同的AAS实例在结构、内容和完成程度上存在差异，这使得难以确定给定的AAS是否适用于特定应用。本文提出了两种互补的方法，以支持AAS的比较和面向应用的评估。首先，采用集合论操作来比较AAS模型，从而能够识别共同、缺失和不同的子模型及参数。其次，一个AAS适用性模型评估AAS对特定用例要求的符合性。该评估考虑结构符合性、语义一致性、基数和规范符合性，并且可以针对参考AAS或一组必需的SemanticID来执行。从识别的偏差中得出适用性值，并辅以缺失或不符合信息的详细报告。所提出的方法支持从业者和研究人员比较不断演进的AAS，并为其在制造业软件服务中的适用性提供应用特定信息。
英文摘要
Asset Administration Shells (AAS) provide a standardized means of representing assets and their information in manufacturing and increasingly serve as a basis for software services. However, different AAS instances vary in structure, content, and degree of completion, making it difficult to determine whether a given AAS is suitable for a specific application. This paper presents two complementary methods to support the comparison and application-oriented assessment of AAS. First, set-theoretic operations are employed to compare AAS models, enabling the identification of common, missing, and differing submodels and parameters. Second, an AAS suitability model assesses the conformity of an AAS to the requirements of a specific use case. The assessment considers structural conformity, semantic consistency, cardinality, and specification conformity and can be performed either against a reference AAS or a set of required SemanticIDs. A suitability value is derived from the identified deviations and is complemented by a detailed report of missing or non-conforming information. The proposed approach support practitioners and researchers in the comparison of evolving AAS and provide application-specific information on their suitability for manufacturing software services.
