For a broader adoption of AI in industrial production, adequate
infrastructure capabilities are crucial. This includes easing the integration
of AI with industrial devices, support for distributed deployment, monitoring,
and consistent system configuration. Existing IIoT platforms still lack
required capabilities to flexibly integrate reusable AI services and relevant
standards such as Asset Administration Shells or OPC UA in an open,
ecosystem-based manner. This is exactly what our next level Intelligent
Industrial Production Ecosphere (IIP-Ecosphere) platform addresses, employing a
highly configurable low-code based approach. In this paper, we introduce the
design of this platform and discuss an early evaluation in terms of a
demonstrator for AI-enabled visual quality inspection. This is complemented by
insights and lessons learned during this early evaluation activity.

为了更广泛地在工业生产中采用人工智能，充足的基础设施能力至关重要。我们介绍了我们的 IIP-Ecosphere 平台的设计，并在 AI 启用的视觉质量检查的演示程序方面进行了早期评估，包括在此早期评估活动中获得的见解和经验教训。