一种基于云计算的穿戴式设备用智能资源控制方法
By employing intelligent resource control methods based on cloud computing and multi-dimensional dynamic attribute coding, the data management challenges of smart wearable devices under resource-constrained conditions have been solved. This enables the immediate and reliable transmission of high-urgent data and the delayed transmission of non-urgent data, thereby improving the system's responsiveness and user experience.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- DALIAN POWER SUPPLY COMPANY STATE GRID LIAONING ELECTRIC POWER
- Filing Date
- 2026-05-08
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies struggle to dynamically adjust strategies based on the real-time status of smart wearable devices, network conditions, and the importance of data content. They lack context awareness and business coupling, cannot effectively manage and process all data sources, and cannot cope with the challenges of complex environments.
By employing a cloud-based intelligent resource control method, utilizing multi-dimensional dynamic attribute encoding and transmission strategies, combined with device resource status and cloud context recognition, transmission time windows are dynamically allocated, and a closed-loop confirmation mechanism ensures the reliable transmission of critical data, thereby achieving refined classification and management.
It optimized network bandwidth utilization efficiency, reduced energy waste, improved the system's responsiveness and reliability to critical events, ensured that equipment resource consumption matched user needs, and increased user stickiness and product lifecycle value.
Smart Images
Figure CN122137805B_ABST