Use Cases¶
Cloud Edge Collaboration is ideal for the following scenarios:
Smart Factory¶
Cloud Edge Collaboration helps users quickly build a platform near the data source of factory IoT devices, enabling real-time data collection and analysis. This allows for the establishment of factory analytics models, which can perceive and mitigate environmental and production risks, enhance production efficiency, and reduce production costs.
- Protocol Adaptation: Supports multiple industrial protocols for unified access and management of production equipment, enabling quick data collection and local preprocessing and analysis.
- Real-Time Risk Perception: Monitors environmental risks and production processes in real-time, facilitating rapid decision-making.
- Unified Deployment and Monitoring: Allows for the unified deployment of applications and models, as well as consistent monitoring of node status.
Smart Store¶
Leveraging edge computing, artificial intelligence, and cloud-native technologies, Cloud Edge Collaboration transforms the management of people, goods, and consumption scenarios. This approach uncovers new opportunities, boosts efficiency, and enhances user experience.
- Local Computing and Business Capabilities: Ensures fast response times and low coupling by sinking computing and business capabilities to the edge.
- High Stability in Complex Networks: Enables independent control of store marketing videos, ensuring high stability even in complex network environments.
- Unified Management and Analysis: Provides cloud-based unified management and analysis of edge nodes and applications, facilitating quick fault location and improving operational efficiency.
Smart Agriculture¶
Cloud Edge Collaboration precisely controls agricultural equipment and transmits real-time data. By supplementing cloud computing with edge computing, it enables real-time, efficient local decision-making closer to the device side of the data source, enhanced by AI.
- Cloud-Based Device Management: Manages, monitors, and controls devices from the cloud.
- Real-Time Environmental Response: Responds in real-time to changes in temperature and humidity, enabling intelligent adjustment of device operations.
