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MTPE: windsonsea
date: 2024-07-17
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  - toc
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# 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 Factory Use Case](https://docs.daocloud.io/daocloud-docs-images/docs/en/docs/kant/images/use-case01.png)

## 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 Store Use Case](https://docs.daocloud.io/daocloud-docs-images/docs/en/docs/kant/images/use-case02.png)

## 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.

![Smart Agriculture Use Case](https://docs.daocloud.io/daocloud-docs-images/docs/en/docs/kant/images/use-case03.png)