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Use Cases

Cloud-edge collaboration is suitable for the following scenarios.

Smart Factory

Help users quickly build a cloud-edge collaboration platform close to the data source of factory IoT devices, providing real-time data collection and analysis, establishing a factory analytics model, perceiving and reducing environmental and production risks, enhancing production efficiency, and reducing production costs.

  • Adapt to multiple industrial protocols, realize unified access and management of production equipment, quickly collect industrial data, and perform local data preprocessing and analysis.
  • Real-time perception of environmental risks on the edge side and monitoring of production processes, and rapid response decision-making.
  • Implement unified application and model deployment, and monitor node status uniformly.

use case

Smart Store

Rebuild the management of people, goods, and scenes (consumption scenarios) with edge computing, artificial intelligence, and cloud-native technologies to find new opportunities, bring new efficiencies, and enhance user experience.

  • Computing and business capabilities sink, fast response speed, low coupling.
  • Under complex network environments, store marketing videos can be independently controlled and have high stability.
  • Edge nodes and application monitoring, log cloud-based unified management and analysis, quick fault location, and improved operation and maintenance efficiency.

use case

Smart Agriculture

The cloud-edge collaboration platform can precisely control agricultural equipment and transmit real-time data. Edge computing, as a supplement to cloud computing, provides real-time and efficient local decision-making at the edge side of the network and closer to the device side of the data source together with AI.

  • Manage, monitor, and control devices on the cloud side.
  • Real-time response to changes in temperature and humidity on the edge side, and intelligent adjustment of device operation.

use case

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