10 results about "Source orientation" patented technology

The invention discloses a seismic source positioning method considering the influence of an abnormal value and a dynamic wave velocity, and the method comprises the steps: arranging sensors to detect sound waves emitted by a seismic source, and observing the time when the sound waves reach each sensor; subtracting the control equation established based on the reference sensor from the control equation established based on the measurement sensor, and carrying out linearization and matrix representation on a nonlinear equation line obtained by subtraction; the matrix is solved, an analytic solution enabling the sum of squares of the residual errors to be minimum is found, the obtained analytic solution is substituted into an overdetermined matrix equation to obtain a fitting model, and weight estimation is conducted according to the relation between the residual errors and weights; iteration is carried out between weight estimation and overdetermined matrix solving, after optimal weight estimation is obtained, overdetermined matrix solving is completed according to the optimal weight, and a final seismic source positioning result is obtained based on an analytical solution. According to the method, the technical problem that the influence of abnormal values and wave velocity measurement errors on the seismic source positioning precision in a complex engineering environment is large is solved, and the fault tolerance and the real-time performance of seismic source positioning are improved.

This application belongs to the field of mine radiation protection and safety monitoring technology, specifically relating to a method and system for locating radon anomaly sources in mines based on causal graphs. The method includes: standardizing the original data matrix to obtain a feature matrix; obtaining a directed acyclic graph (DAG) based on the feature matrix; using the DAG and the set of parent nodes, constructing marginal distributions for the root node and conditional distribution estimators for the child nodes to obtain a global distribution estimator; calculating the intervention distribution of the feature subset based on the global distribution estimator; calculating the causal Shapley value based on the intervention distribution; retraining the anomaly prediction model after feature filtering to obtain the final anomaly source model; and inputting actual radon concentration time-series data into the final anomaly source model to obtain the anomaly source location. This application has the effect of accurately distinguishing anomaly sources at different locations and achieving globally convergent radon anomaly source location.

The invention discloses a far-field accidental sound source positioning method, system, medium and equipment, and the method comprises the steps: collecting an audio signal through a sensor, and carrying out the preprocessing of the audio signal, and obtaining a preprocessing signal; performing multi-band energy analysis to calculate short-time energy of each band, updating background energy estimation, and dynamically adjusting a detection threshold value; meanwhile, the processed audio features and real-time environment features are fused into multi-modal features, the multi-modal features are input into an accidental event detector for detection statistic calculation, and when the detection statistic reaches a self-adaptive threshold value, an accidental event detection stage is entered: a time window containing an accidental event in the preprocessed signal is determined, extended interception is carried out, and a time window containing the accidental event is obtained; the signals of the sensors in the corresponding time periods are extracted; fast TDOA estimation is carried out, abnormal estimation values are eliminated, and an estimation result is obtained; calculating the three-dimensional coordinates of the sound source by combining the position of the sensor; and calculating positioning confidence evaluation to obtain an effective positioning result. According to the invention, adaptive sound source localization of a complex urban environment is realized.

Embodiments of the present application relate to the technical field of sound source positioning, and disclose a position coding method for two-dimensional sound source positioning without quantization error, which comprises: dividing a space where a sound source is located into a plurality of grids; based on a preset resolution, respectively discretizing the space into a plurality of segments in the x-axis direction and the y-axis direction according to the lengths of the space in the x-axis direction and the y-axis direction, and determining the category of the sound source in the x-axis direction and the category of the sound source in the y-axis direction according to the coordinates of the sound source; based on the category of the sound source in the x-axis direction, using an unbiased label distribution vector to perform position coding of the sound source in the x-axis direction, and based on the category of the sound source in the y-axis direction, using an unbiased label distribution vector to perform position coding of the sound source in the y-axis direction; and based on and generating a two-dimensional unbiased label distribution matrix ρ, completing the position coding of the sound source, which can eliminate quantization error and greatly improve the accuracy of sound source positioning.

This disclosure discloses a method and device for locating stray current interference sources. The method includes: S100: acquiring the time difference measurement value T of the stray current signal released by the stray current interference source to be located arriving at each measuring point. m g; S200: Construct a stray current interference source localization model; S300: Train the stray current interference source localization model to obtain a trained stray current interference source localization model; S400: Transfer the time difference measurement value T m The system uses a pre-trained stray current interference source localization model as input to locate the stray current interference source. This invention can effectively locate stray current sources and underground stray current sources.

This application relates to the field of positioning technology, and discloses a multi-source cooperative positioning method, device, and medium. The method includes: acquiring multi-source positioning information uploaded by a target device; and locating each device to be located based on the multi-source positioning information. The target device is one of multiple devices to be located within an effective positioning area. Each device to be located periodically performs wireless positioning on the other devices, with the positioning times staggered. When a device to be located performs wireless positioning on another device, that device is the target device. The multi-source positioning information includes several types of current wireless positioning information for each device to be located and the inertial navigation information of the target device. This application's embodiments improve the accuracy of regional positioning through multi-source signal joint positioning.

The application discloses a spatial sound source positioning method and device, equipment and storage medium, relates to the sound source positioning field, and includes: using a target microphone array to record a sound source excitation signal sent by a sound source to be positioned to generate corresponding microphone signals; the target microphone array includes three target microphones, a target line between two target microphones is located on a horizontal plane, and the other target microphone is located on a vertical plane corresponding to the target line; determining a first cross-correlation result corresponding to the sound source excitation signal and each microphone signal to determine the absolute delay of the sound source excitation signal to each target microphone; cross-correlating each microphone signal in pairs to determine a second cross-correlation result and determine the relative delay difference between each target microphone; and determining the spatial three-dimensional coordinates corresponding to the sound source to be positioned based on the absolute delay and the relative delay difference by using a target optimization function. The application realizes high-precision sound source spatial positioning by using a small number of microphones.

The invention provides a sound source positioning method and device, computer equipment and a storage medium. The method comprises the following steps: forming input data based on a space range corresponding to a target space and a prediction moment; inputting the input data into a pre-trained physical constraint neural network to obtain sound pressure information of the sound in the target space at the prediction moment; wherein the physical constraint neural network takes an acoustic wave equation as a physical equation, takes initial sound pressure distribution and change rate distribution of initial sound pressure as initial conditions, and takes an impedance boundary condition as a boundary condition; actual measurement data collected by a distributed acoustic sensing DAS system deployed in the target space is used as data constraint training; and based on the sound pressure information, determining position information of a target sound source emitting the sound in the target space.

The invention discloses an unmanned aerial vehicle sound source localization method and system based on an optimized bat algorithm, and relates to the technical field of unmanned aerial vehicles, and the method comprises the steps: generating the initial population distribution of the bat algorithm through chaotic mapping; improving a speed updating formula of the bat algorithm through the weight factor; updating the pulse emissivity and loudness of the bat algorithm through a dynamic adjustment mechanism; and applying the improved bat algorithm in spectrum peak search of the MUSIC algorithm to obtain an unmanned aerial vehicle sound source localization result. According to the method, a chaotic sequence is introduced to increase population diversity, an inertia weight is adaptively adjusted to update individual speed, a dynamic adjustment mechanism is introduced to balance searching and updating of an algorithm, an improved BA (bat) algorithm is applied to a spectrum peak searching process in a two-dimensional MUSIC algorithm, and a globally optimal solution is rapidly obtained.

The invention relates to the technical field of sound source positioning, in particular to a sound emission source positioning method based on Akaike information criterion correction arrival time. The method comprises the following steps: firstly, collecting multichannel acoustic emission waveform data and preprocessing, including de-noising and filtering, baseline correction and the like; then, the accurate arrival time point of the acoustic emission signal is determined through the AIC criterion, fitting is conducted on the signal through an autoregression model, and the optimal segmentation point is selected as the arrival time point based on the residual variance; and then, constructing a time difference positioning equation set, carrying out source positioning through an improved time difference positioning algorithm, and screening effective observation data and eliminating exterior point observation in combination with an RANSAC (Random Sample Consensus) algorithm so as to improve the positioning accuracy. And finally, positioning result optimization is carried out based on a Chan closed-form solution and an LM nonlinear least square method, and the optimal position coordinates of the acoustic emission source are obtained. Through the method, noise interference can be effectively reduced, the positioning precision is improved, and sound emission source positioning in a complex environment is realized.