Geo-Acoustic Event Location Using Anisotropic Waveform Inversion
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Solution Overview
Problem
Conventional geo-acoustic event location methods rely on isotropic assumptions and ignore time-frequency characteristics, leading to inaccurate location results and insufficient precision in predicting geo-acoustic disasters.
Innovation Solution
A method that considers the anisotropic nature of wave propagation by incorporating arrival time, time domain parameters, spectral information, and waveform shape to construct a comprehensive location model, using an intelligent geo-acoustic sensor for signal processing and filtering to enhance accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional arrival time-based location method is used, then the location process is simple, but the location precision is insufficient due to isotropic assumption and ignoring time-frequency characteristics
Solution Approach 1:
The patent changes the parameters used for location from simple arrival time to a comprehensive set including arrival time, time domain parameters (amplitude, rise time, duration), spectral information (frequency, spectral ratio), and waveform shape. This parameter expansion allows the model to account for anisotropic propagation characteristics and significantly improves location precision while managing complexity through systematic parameter organization
Solution Approach 2:
The patent adds new dimensions to the location analysis by incorporating time-frequency characteristics alongside traditional arrival time data. By considering multiple waveform characteristics across different domains (time, frequency, time-frequency), the model transforms a one-dimensional arrival time problem into a multi-dimensional analysis that captures the complex anisotropic nature of wave propagation in rock masses
2Measurement precision
If comprehensive waveform characteristics are considered, then location accuracy improves, but computational time increases
Solution Approach 1:
The patent performs preliminary processing of waveform data by extracting key characteristics (arrival time, time domain parameters, spectral information, waveform shape) before the main location inversion process. This preliminary extraction and organization of features reduces the computational burden during inversion by pre-processing the data into meaningful parameters that can be efficiently used in the location algorithm
3Reliability
If traditional monitoring methods are used, then the monitoring system is simple, but the anti-interference capability is insufficient
Solution Approach 1:
The patent extracts and isolates the key waveform characteristics (arrival time, time domain parameters, spectral information, waveform shape) from the raw geo-acoustic signals. By separating these meaningful features from the noisy raw data through targeted extraction, the method enhances anti-interference capability while keeping the processing focused on essential parameters rather than analyzing entire waveforms
Data Source
AI summary
Sound signal when a wave generated by a geo-acoustic event source reaches any monitoring point (S1), constructing a theoretical propagation difference model and an observed propagation difference model of the waveform characterization quantity between monitoring points, to calculate a waveform characterization quantity difference value between two monitoring points (S2); and constructing an objective function based on the theoretical propagation difference model and the observed propagation difference model, and obtaining the location of the geo-acoustic event by means of inversion based on the objective function (S3). According to the geo-acoustic event location method, the arrival time, time domain parameters, spectral information, and waveform shape of the geo-acoustic signal when the wave generated by the geo-acoustic event source reaches any monitoring point are considered, then the non-uniformity of a propagation medium is comprehensively reflected, and the inversion precision of geo-acoustic event location is finally improved.