The proactive Asset Administration Shell (AAS) enables bidirectional communication between assets. It uses the Language for I4.0 Components in VDI/VDE 2193 to facilitate negotiations, such as allocating products to available production resources. This paper investigates the efficiency of the negotiation, based on criteria, such as message load, for applications with a scaling number of assets. Currently, the focus of AAS standardization is on submodels and their security to enable interoperable data access. Their proactive behavior remains conceptual and is still a subject of scientific research. Existing studies examine proactive AAS architecture examples with a limited number of assets, raising questions about their scalability in industrial environments. To analyze proactive AAS for scaling applications, a scenario and evaluation criteria are introduced. A scalable implementation is developed using current architectures for proactive AAS, upon which experiments are conducted with a varying number of assets. The results reveal the performance limitations, communication overhead, and adaptability of the AAS-based negotiation mechanism scaling. This information can improve the further development and standardization of the AAS.

翻译：主动式资产管理壳（AAS）支持资产间的双向通信。它利用VDI/VDE 2193标准中的工业4.0组件语言（L4C）来促进协商过程，例如将产品分配给可用生产资源。本文基于消息负载等标准，研究了在资产数量规模变化的应用程序中协商过程的效率。当前AAS标准化的重点在于子模型及其安全性，以实现可互操作的数据访问。其主动行为仍停留在概念层面，并持续作为科学研究课题。现有研究主要考察了资产数量有限的主动式AAS架构案例，这引发了其在工业环境中可扩展性的疑问。为分析面向规模化应用的主动式AAS，本文提出了一个场景及评估标准。基于现有主动式AAS架构开发了可扩展实施方案，并在此方案上进行了不同资产数量的实验。实验结果揭示了基于AAS的协商机制在规模化过程中的性能局限、通信开销与适应能力。这些发现可为AAS的进一步开发与标准化提供改进依据。