Weak network under power distribution internet gateway working condition state adaptive detection method and system
By using multi-source condition monitoring and dual-channel data fusion estimation, the problems of blind spots in the condition monitoring of distribution IoT gateways in weak network environments and the identification of true and false faults have been solved. This has enabled high-time-resolution data restoration and accurate diagnosis, thereby improving the stability and reliability of distribution IoT gateways.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- GUANGZHOU KETENG INFORMATION TECH
- Filing Date
- 2026-05-21
- Publication Date
- 2026-07-17
AI Technical Summary
In weak network environments, existing technologies cannot effectively address the blind spots in monitoring the operating status of power distribution IoT gateways and the insufficient ability to distinguish between genuine and false faults, leading to misjudgments of gateway status by the cloud and delays in fault handling.
By employing a multi-source condition monitoring database, discrete cosine transform algorithm, fountain code coding, and Bayesian network model, and transmitting key sparse coefficient sets and rateless coding through an auxiliary communication channel, combined with dual-channel data fusion estimation, adaptive detection of gateway operating status is achieved.
It improves the robustness of data transmission and the reliability of diagnosis in weak network environments, reduces invalid operation and maintenance alarms and manual review costs, and ensures the continuous controllability and stable monitoring of distribution IoT gateways.
Smart Images
Figure CN122420171A_ABST