Intelligent cable detection system and method
By using high-precision harmonic analyzer and distributed fiber temperature sensor in an intelligent cable detection system, the harmonic distortion rate fluctuation characteristics and temperature rise rate deviation characteristics of the cable are extracted, the data prediction model is constructed, the accuracy of potential risks of the cable is evaluated, and the monitoring strategy is dynamically adjusted, the problem of insufficient ability to identify complex fault modes in the existing technology is solved, and the accurate identification and early warning of hidden faults of cables are achieved.
Patent Information
- Application Number
- CN202411743402.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-30
- Publication Date
- 2025-03-07
AI Technical Summary
When existing intelligent cable detection systems identify complex fault modes, insufficient algorithm recognition capabilities may lead to the generation of a ‘false safety state’, neglecting potential risks, delaying maintenance, leading to catastrophic failures such as cable insulation breakdown, high-voltage line breakage or arc flickering.
By installing a high-precision harmonic analyzer at the input and output of the cable, non-linear change data of low harmonics can be captured in real time, and a distributed fiber optic temperature sensor is used to collect temperature rise rate data in the hot spot area, extract harmonic distortion rate fluctuation characteristics and temperature rise rate deviation characteristics, build a data prediction model, evaluate the accuracy of potential risks of the cable, and dynamically adjust the monitoring strategy.
It effectively solves the problem of insufficient ability of algorithms to identify complex fault modes, realizes accurate identification and early warning of hidden cable faults, and improves the reliability and efficiency of the online monitoring system for the assessment of potential cable risks.
Smart Images

Figure CN119575069A_ABST
Abstract
Citation Information
Patent Citations
Tunnel cable power supply state monitoring method and system based on deep learning
CN117590159A
Intelligent anti-error topology analysis method for transformer substation
CN118395358A
Hierarchical monitoring and early warning method based on driver on-duty state
CN118486130A
Cable comprehensive state assessment and diagnosis method, system and device and storage medium
CN118604520A
Intelligent online monitoring system for photovoltaic power station
CN118611584A
Cited By
Battery FFC (Flexible Flat Cable) detection equipment and detection method
CN120143002A
Copper bar connection state detection method and system
CN120314841A
Copper busbar connection status detection method and system
CN120314841B
Cable joint temperature rise real-time monitoring system applied to dynamic load environment
CN120369134A
Wiring harness dynamic load and electromagnetic interference coupling test method
CN120405296A