一种电厂边缘计算与5G协同的数据传输方法
By generating dynamic service feature vectors and real-time resource status views, the data transmission pipeline of power plant edge computing and 5G network is dynamically mapped and reconstructed, solving the problem of coordination and adaptation of computing and transmission resources in power plants, and realizing low-latency and efficient data processing and diagnosis.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- GUONENG (ZHEJIANG BEILUN) POWER GENERATION CO LTD
- Filing Date
- 2026-05-07
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies struggle to achieve global coordination and dynamic adaptation of computing resources and network transmission in power plants, especially when facing dynamically changing business needs and complex network resource environments, making it difficult to optimize the coordination and self-adaptation of computing and transmission resources.
By acquiring multimodal data streams and analyzing task requests, dynamic service feature vectors are generated. The status of 5G private networks and edge computing node resources are collected in real time. Based on the NSGA-II multi-objective optimization algorithm, dynamic mapping and reconstruction processing pipelines are dynamically mapped and reconstructed to control node execution and trigger online adaptive migration. An attention mechanism is used for fusion analysis to generate the final diagnostic results.
It achieves dynamic collaborative optimization and adaptive scheduling of computing and transmission resources, reduces latency and improves resource utilization, and adapts to dynamic business needs and network changes within the power plant.
Smart Images
Figure CN122160836B_ABST