基于分布式传感器的接触网承受张力检测方法
By using a distributed sensor system to perform wavelet denoising and temperature compensation on the catenary tension and temperature signals, combined with Kalman filtering and support vector machine models, the problem of misjudgment of catenary tension status was solved, achieving high-precision tension monitoring and early risk warning, thus ensuring the stability of the rail transit power supply system.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CHENGDU YUNTIE INTELLIGENT TRANSPORTATION TECH CO LTD
- Filing Date
- 2026-05-20
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies cannot accurately reproduce the true mechanical tension state of the overhead contact line. Especially in complex outdoor dynamic environments, traditional detection methods are prone to misjudging temperature-induced tension baseline shifts as mechanical faults, or allowing real, minor equipment anomalies to be buried in environmental fluctuations.
A distributed sensor-based approach is adopted, which constructs a temperature compensation function through wavelet denoising and least squares fitting, solves the state model by combining Kalman filtering algorithm, uses support vector machine classification model for anomaly detection, and combines fault database matching target mechanism model to finally achieve optimized estimation of tension state.
It significantly improved the physical fidelity of the overhead contact line tension monitoring data, reduced the false alarm rate, and enabled early dynamic warning and high-precision assessment of potential risks to the overhead contact line tension, thus ensuring the safe and stable operation of the rail transit power supply system.
Smart Images
Figure CN122217527B_ABST