1. Overview
The integration of Artificial Intelligence (AI) and the Internet of Things (IoT) is accelerating the development of smart manufacturing and smart products. When combined with the research and development of equipment, materials, and components, it not only enhances R&D efficiency but also enables new product functions and business models.
2. Application Scenarios and Trends
- Smart Manufacturing and Predictive Maintenance
- AI sensors and IoT modules monitor equipment status in real time.
- Machine learning models predict equipment failures and reduce downtime.
- Automated data analysis accelerates material development.
- New Material Development
- AI algorithms (e.g., deep learning) simulate material structures and properties to find optimal combinations.
- IoT devices collect experimental and environmental data to feed back into AI models for optimization.
- Smart Components
- Components with built-in AI chips and sensors can self-monitor and self-adjust (e.g., smart sensors, transmissions).
- Applied in high-precision fields such as automotive, medical, and aerospace.
- Digital Twin
- Real-time IoT data and AI analysis create virtual replicas of equipment or components.
- Enables lifespan prediction, design optimization, and virtual testing.
3. Key Technologies
- Edge Computing: Runs AI models directly on components to reduce latency.
- Automated Experiment Platforms: Combines robotics and AI for high-throughput material testing.
- Data Integration and Standardization: Merges multi-source IoT data for effective AI training.
- AI-driven CAE: Simulates material and component behavior under extreme conditions.
4. Future Challenges and Opportunities
Challenges:
- Data privacy and security
- High cost of cross-domain technology integration
- Manual effort still needed for quality data collection and labeling
Opportunities:
- Custom manufacturing and component design
- Accelerated development of innovative materials (e.g., biomedical, carbon-neutral materials)
- Building smart supply chains to improve flexibility and efficiency
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