Automation Assembly RCA via Recursive Neighbor Interrogation

The automation components perform self-identification and self-description, automatically providing their identity information and behavior models to neighboring components without requiring manual modeling. Each component autonomously generates and transmits its own data, eliminating the need for external manual plant modeling while maintaining high accuracy for root cause analysis.

The system divides the data collection and processing function into autonomous segments at each automation component level. Each component independently manages its own data generation, storage, and transmission to neighbors, eliminating the need for a centralized complex data infrastructure while ensuring continuous availability of dynamic data for real-time analysis.

The system implements dynamic self-configuration where automation components automatically detect structural changes in the plant and update their connectivity information in real-time. When the plant structure changes due to reconfiguration for different products, components autonomously re-establish their neighbor relationships and data exchange paths without requiring manual model updates, thus maintaining production flexibility without time loss.

Each automation component autonomously maintains its own configuration data and automatically updates its connectivity information when structural changes occur. The decentralized architecture eliminates the need for centralized configuration management, allowing RCA to be executed simply by any component using locally available data from its neighbors without requiring continuous external configuration updates.