Aerial Fiber Cable Sagging Detection via Vibration Standard Deviation
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Solution Overview
Problem
The relationship between cable sagging, a static phenomenon, and vibration, a dynamic phenomenon, is not clarified, making it difficult to identify sagging sections in aerial optical fiber cables using vibration sensing results.
Innovation Solution
An aerial optical fiber cable inspection method that acquires vibration distribution along the cable's longitudinal direction and identifies sagging sections based on the standard deviation of amplitudes at each point, using a calculation circuit to calculate standard deviations and an analysis circuit to determine sagging sections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If visual inspection by workers is used, then identification of cable sagging is possible, but inspection efficiency is low and labor-intensive
Solution Approach 1:
The patent replaces the mechanical visual inspection method with an optical sensing system. Vibration sensors attached to the cable measure dynamic vibration characteristics, and signal processing algorithms automatically identify sagging sections, eliminating the need for manual visual inspection while maintaining identification accuracy.
Solution Approach 2:
The system enables automatic identification of cable sagging through self-measurement. The vibration sensors and signal processing work autonomously to detect and locate sagging sections without requiring human workers to physically examine the cable, thus improving inspection efficiency.
2Productivity
If remote optical testing is used, then inspection efficiency is improved, but the relationship between static cable sagging and dynamic vibration is not clarified
Solution Approach 1:
The patent utilizes mechanical vibration as a diagnostic tool. By measuring the dynamic vibration characteristics of the cable and analyzing their relationship with static sagging conditions, the system establishes a clear connection between vibration patterns and cable sagging, enabling remote detection without losing critical information.
Solution Approach 2:
The system changes the measurement parameter from static visual observation to dynamic vibration measurement. By analyzing vibration amplitude, frequency, and other dynamic parameters, the patent establishes the relationship between static cable sagging and dynamic vibration, enabling remote optical testing with full information retention.
3Measurement precision
If standard deviation of vibration amplitude is used, then cable sagging section identification is enabled, but calculation and analysis complexity increases
Solution Approach 1:
The patent transforms the raw vibration signal into a statistical parameter (standard deviation of vibration amplitude). This parameter transformation simplifies the identification process by converting complex vibration waveforms into a single metric that directly indicates cable sagging, reducing analysis complexity while maintaining high identification accuracy.
Solution Approach 2:
The system extracts the key feature (standard deviation of vibration amplitude) from the complex vibration signal. By focusing on this specific extracted parameter rather than analyzing the entire complex waveform, the patent reduces calculation and analysis complexity while preserving the ability to accurately identify cable sagging sections.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables the identification of sagging sections by differentiating the standard deviation of vibrations, which is not dependent on the presence or absence of sagging, allowing for accurate detection.
Implementation Method 1
performing an optical test at a telecommunications building on an optical fiber housed in a cable and measuring vibration caused by a disturbance applied to the optical fiber
Data Source
AI summary
It is an object of the present invention to provide an aerial optical fiber cable inspection method, an aerial optical fiber cable inspection device, and a program which can identify a cable sagging section from vibration sensing results. In the aerial optical fiber cable inspection method according to the present invention, a vibration distribution waveform along the longitudinal direction of an aerial optical fiber cable measured using an optical fiber vibration sensing device is received as an input, a standard deviation of the amplitude of vibration at each position in the vibration distribution waveform is calculated, and a section with a standard deviation larger than that of other sections is identified as a cable sagging section.