によって Lucious Wang 24日前.
24
Software Architecture
for Responsible Artificial
Intelligence Systems:
Practice in the Digitization
of Industrial Drawings
The process of digitizing historical industrial drawings presents several challenges, such as the complexity of formats and the need for domain-specific expertise, which can lead to high error rates in manual digitization.
開く
Software Architecture
for Responsible Artificial
Intelligence Systems:
Practice in the Digitization
of Industrial Drawings 6. Conclusion and Future Work Future improvements (interaction methods, expanded AI stack) Expanding AI models to support various industrial applications More interactive options (e.g., voice control) Benefits of AI in drawing digitization Reduces time and errors in industrial drawing digitization 4. Case Study: Piping & Instrumentation Diagram (P&ID) Drawing Digitization Performance analysis: accuracy, time, availability Application in digitizing historical piping & instrumentation diagrams 2. Key Components Quality attributes (Usability, High performance, Accuracy) Security & Privacy: Protection through federated learning Performance: Efficient processing for large, multi-page drawings Usability: Non-AI professionals should navigate easily Role of AI technologies (OCR, computer vision, etc.) Knowledge Graphs for relational data OCR for text extraction Computer Vision for element detection Responsible AI software architecture Responsible AI Principles: Aligns with EU's seven AI ethics principles (e.g., transparency, accountability). 5. Evaluation and Feedback Federated model accuracy improvement Limited samples for specific element training Adapting to diverse drawing standards End-user satisfaction (usability, interactivity, etc.) Performance Gains: P&ID tasks completed in days instead of months Interactivity, usability, and interpretability scored highly 3. Architecture Design Collaborative multimodel fusion Integrates specialized AI models (e.g., text and object detection) Federated Learning for privacy Federated Learning: Secures data by training models locally Architectural Patterns: MVC, Layered Architecture Layered Architecture: Separates concerns, enhancing usability and style adaptability Model View Controller (MVC) for modular design 1. Introduction Challenges in digitizing historical drawings Complexity in historical drawing formats, domain-specific knowledge, and high error risk in manual digitization.
Purpose of responsible AI in industrial drawing digitalization
