Method and system for monitoring electrical wire and cable faults
By acquiring Rayleigh scattering signals from optical pulses emitted by optical fibers in a cable fault monitoring system, performing digital filtering and noise reduction, conducting frequency domain analysis and peak detection, and combining Kalman filters for error correction, a visual distribution map is generated. This solves the problem of inaccurate cable fault signal location in existing technologies and achieves high-precision and high-reliability fault monitoring.
CN122362016APending Publication Date: 2026-07-10NEIMENGGU XINLIAN INFORMATION IND CO LTD
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- NEIMENGGU XINLIAN INFORMATION IND CO LTD
- Filing Date
- 2026-06-11
- Publication Date
- 2026-07-10
AI Technical Summary
Technical Problem
Existing technologies struggle to convert wire and cable fault signals into precise information on the internal structure of defects, resulting in poor reliability of fault monitoring results.
Method used
By transmitting light pulses into the optical fiber in the cable, Rayleigh scattering signals are obtained, digital filtering and noise reduction are performed, frequency domain analysis and peak detection are conducted, narrowband time domain signals are extracted for attenuation fitting, and error correction is performed using a Kalman filter, ultimately generating a visualized distribution map.
Benefits of technology
It achieves high-precision location and visualization of defects, significantly improving the reliability and accuracy of fault monitoring results.
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Smart Images
Figure CN122362016A_ABST
Abstract
This invention relates to the field of wire and cable fault monitoring technology, and discloses a method and system for wire and cable fault monitoring. The method includes transmitting light pulses and recording the transmission time, and acquiring Rayleigh scattering signals for preprocessing to obtain a denoised signal waveform; performing frequency domain transformation on the denoised signal waveform to obtain a frequency domain signal, detecting abnormal peaks in the frequency domain signal, extracting the narrowband time domain signals corresponding to the abnormal peaks, and performing attenuation fitting to obtain an attenuation time constant; when the attenuation time constant is less than a preset time threshold, performing defect analysis based on the narrowband time domain signal and the transmission time to obtain the preliminary defect location; performing error correction based on the preliminary defect location to obtain a high-precision defect location; mapping the narrowband time domain signal of the high-precision defect location into an image matrix, and performing visualization rendering to generate a visual distribution map. This method can transform fault signals into accurate information about the internal structure of defects.
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