基于阻抗检测的导轨防锈状态监测系统及方法
By using an impedance detection-based method, the impedance response components of the guide rail surface are separated and an equivalent circuit model is established. The interface mechanism parameters are then calculated by inversion, solving the system analysis problem of the guide rail rust prevention status and realizing continuous spatial monitoring and visual identification of the guide rail rust prevention status.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SHAANXI DAWOXIN INTELLIGENT EQUIP CO LTD
- Filing Date
- 2026-03-25
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies are insufficient to systematically analyze the rust prevention status of guide rails from the perspective of electrochemical mechanisms, and it is difficult to achieve continuous spatial monitoring of the rust prevention status of guide rails. In particular, when the oil film thickness decreases or is locally damaged, it is impossible to accurately identify the spatial distribution of the rust prevention status and the corrosion activation area.
By applying an AC excitation signal with a preset frequency range to the metal substrate of the guide rail using an impedance detection method, voltage and current response signals are collected, complex impedance values are calculated, and guide rail impedance spectrum data is constructed. The impedance response components of the anti-rust oil film layer, electrochemical double layer, and metal substrate interface are separated, an equivalent circuit model is established, interface mechanism parameters are calculated, consistency analysis and gradient change analysis are performed, and a spatial distribution map of guide rail anti-rust status is generated.
It achieves precise quantitative characterization and continuous spatial positioning of the rust prevention status of guide rails, and can identify the stable area of the rust-preventive film, the film attenuation area and the corrosion activation area, providing visualized decision support for guide rail corrosion prevention and maintenance.
Smart Images

Figure CN121933429B_ABST