Slope Detection via Distributed Optical Fiber Sensing

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Solution Overview

Problem

Current geotechnical engineering lacks efficient and precise methods for monitoring and analyzing slope stability using distributed optical fiber sensing, particularly in complex geological conditions, leading to uncertainties in determining slope deformation and stability for targeted reinforcement.

Innovation Solution

A slope detection apparatus and method utilizing distributed optical fiber sensing, which includes optical fiber measuring units to measure acceleration time sequences, a demodulator to receive these sequences, and a terminal device for multi-domain coupling analysis to generate a feature cloud map, enabling sub-item detection of slope stability and deformation features based on preset parameter indexes.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If conventional single-point or quasi-distributed sensors are used for slope monitoring, then the device complexity is low and ease of operation is good, but the measurement precision and temporal-spatial resolution are insufficient for long-distance monitoring

Engineering Contradiction:
Improvetemporal-spatial resolutionVSAvoidsensor distribution complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent replaces conventional mechanical/electrical sensors with optical fiber sensing technology. The optical fiber acts as a distributed sensor that uses Rayleigh scattering of light to detect vibrations along the entire fiber length, eliminating the need for multiple discrete sensors and achieving high temporal-spatial resolution with reduced system complexity

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The optical fiber serves multiple functions simultaneously: it acts as both the sensing element and the transmission medium for detection signals. A single optical fiber can monitor multiple locations along the slope, providing both spatial distribution and temporal resolution in one integrated system

Inventive Principle:
Principle #6Universality (Multi-functionality)

2Reliability

If only time-domain parameters (acceleration, displacement) are used for slope stability analysis, then the measurement process is simple, but the determination reliability has many uncertainties

Engineering Contradiction:
Improveslope stability determination reliabilityVSAvoidmulti-domain analysis complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent extends the analysis from one dimension (time domain) to multiple dimensions by incorporating frequency domain and time-frequency domain analyses. This multi-domain approach extracts additional features from the same vibration signals, improving reliability without requiring additional sensors or measurement systems

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

Solution Approach 2:

The patent segments the vibration signal analysis into three distinct domains: time domain (acceleration, displacement), frequency domain (spectral characteristics), and time-frequency domain (wavelet transforms). Each domain provides complementary information that together improves the overall reliability of slope stability determination

Inventive Principle:
Principle #1Segmentation

3Adaptability or versatility

If DAS technology is applied to geotechnical engineering for the first time, then the measurement precision and anti-interference capability are improved, but the adaptability to complex geological conditions and multi-load coupling scenarios is insufficient

Engineering Contradiction:
Improveadaptability to complex geological conditionsVSAvoidloss of vibration feature information
Core Design Contradiction:
Adaptability or versatilityVSLoss of information

Solution Approach 1:

The patent performs preliminary signal processing and feature extraction by conducting multi-domain analysis (time, frequency, time-frequency) on the raw vibration signals. This preliminary processing preserves all relevant vibration features while removing noise and irrelevant information, making the data ready for reliable slope stability assessment under various geological conditions

Inventive Principle:
Principle #10Preliminary action

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

This approach provides comprehensive, accurate, and efficient health monitoring of slope stability, improving the reliability and accuracy of slope reinforcement by integrating time, frequency, and time-frequency domain analysis, thereby enhancing the precision of distributed optical fiber measurement techniques.

Implementation Method 1

The distributed fiber acoustic sensing (DAS) technology is a new type of optical fiber sensing technology that uses the optical fiber as a sensor and acquires vibration signals based on Rayleigh scattering of light

Methodology Applied
Scientific EffectRayleigh scattering: Rayleigh Scattering

Data Source

PatentUS20240011825A1Slope detection apparatus and method based on distributed optical fiber sensing
Publication Date: 2024.01.11 TSINGHUA UNIVERSITY
  • US20240011825A1 patent drawing
  • US20240011825A1 patent drawing
  • US20240011825A1 patent drawing

AI summary

This application discloses a slope detection apparatus and method based on distributed optical fiber sensing. The apparatus includes: optical fiber measuring units arranged inside a slope and configured to measure acceleration time sequences of a plurality of state parameters of the slope; a demodulator, where the demodulator is connected to the optical fiber measuring units and configured to receive the acceleration time sequences of the slope; and a terminal device, where the terminal device is connected to the demodulator and configured to perform multi-domain coupling analysis on the acceleration time sequences so as to generate a feature cloud map of the slope, perform sub-item detection on slope stability state based on the feature cloud map and preset multi-domain feature parameter indexes so as to obtain a sub-item detection result of the state of the slope.