6669results about "Electric/magnetic detection" patented technology

The invention relates to the technical field of electromagnetic pulses, and discloses an electromagnetic pulse data transmission method. The method comprises the following steps: collecting natural electromagnetic pulse signal data of a detection target area through a six-dimensional complementary electrode array structure, and executing Kalman filtering peak extraction and characteristic frequency locking to obtain frequency-optimized signal data; executing first-order and second-order gradient difference matrix calculation and space vector synthesis to obtain signal source position coordinate data and signal intensity data; performing spectral domain reconstruction and multilayer dynamic threshold analysis to obtain a spatial clustering abnormal data packet; and selecting an optimal transmission channel to transmit the spatial clustering abnormal data packet to a cloud server. According to the invention, the influence of an external interference source is effectively eliminated, accurate extraction and characteristic frequency locking of effective frequency band signals are realized, power frequency and harmonic interference thereof are effectively suppressed, the signal-to-noise ratio of the effective frequency band of the signals is improved, and the reliability and timeliness of data transmission in a severe field environment are ensured.

The present application relates to PPP-RTK, RTK, SSR, or like correction data based devices and methods to produce geolocation solutions with improved accuracy. Further, such devices and methods may be further employed in various related utility locator devices, utility locating transmitters, and other utility locating and mapping devices.

The invention discloses a transient electromagnetic three-dimensional dike leakage hidden danger detection method based on unmanned aerial vehicle carrying, and the method comprises the steps: S1, scanning a detection region range, obtaining dike terrain remote sensing image and point cloud image data, and setting a flight path of an unmanned aerial vehicle according to a preset detection region range; s2, performing task flight, and transmitting transient electromagnetic pulse signals with different frequencies to the underground of the dike through a transmitting coil according to a transmitting current frequency range; s3, a receiving coil is used for synchronously collecting secondary electromagnetic response signals generated by underground medium induction, discretization sampling is conducted on the collected signals according to the sampling time interval, and a sampling data sequence is obtained; s4, constructing a three-dimensional resistivity model of the dike underground medium through a three-dimensional inversion algorithm; and S5, through the constructed three-dimensional resistivity model, multi-dimensional features of the leakage hidden danger are extracted, and an area with the leakage hidden danger in the dike is identified. The leakage hidden danger area can be rapidly identified, and the detection efficiency and precision are improved.

The present disclosure relates to systems and / or methods for predicting the location of subsurface reservoirs of natural hydrogen. One or more embodiments described herein include a system that can comprise a memory to store computer executable instructions. The system can also comprise one or more processors, operatively coupled to the memory, that execute the computer executable instructions to implement a hydrogen exploration controller configured to generate a plurality of maps characterizing a geographical region. The respective maps from the plurality of maps can delineate a location of respective geological features within the geographical region that are associated with a presence of a subsurface reservoir of natural hydrogen. Additionally the hydrogen exploration controller can be further configured to identify an area in the geographical region that comprises a convergence of two or more of the respective geological features based on the plurality of maps.

A transient electromagnetic scanning detection system and method. An all-terrain vehicle carrying an instrument tows a transmitting coil and a receiving coil having an offset distance of 6-8 meters therebetween, wherein the transmitting coil arbitrarily rotates within an XZ plane, the receiving coil moves in an X direction and a Z direction, and GPSs are carried on the coils. During working, the vehicle stays for a short time every few meters, the transmitting coil performs rotary scanning until 180 degrees, and the receiving coil completes scanning detection of one point; and the process is repeated when the vehicle travels to the next detection point. The inversion is implemented by means of a deep learning model, a large number of resistivity models are randomly generated, and on the basis of an observation system, numerical simulation is performed on an induced electromotive force corresponding to each resistivity model. On the basis of induced electromotive force data and the resistivity models, a deep learning framework-based TEM prediction model is established, wherein the induced electromotive force data is used as an input, and a two-dimensional resistivity structure below the coils is used as an output. The vehicle collects TEM data and imports same into a deep learning network to obtain an underground resistivity structure below the coils in real time to perform transient electromagnetic scanning detection.

The invention discloses a multi-source collaborative advanced geological exploration method based on TBM construction, and belongs to the technical field of tunnel engineering geological exploration. A three-dimensional geological model is constructed through multi-scale collaborative operation of directional long exploration drilling, branch short exploration drilling and in-hole transient electromagnetic detection; the directional long exploration adopts a secondary drilling structure and a screw motor directional drilling technology to realize accurate control of a deep stratum, the branch short exploration realizes dynamic and rapid verification through a TBM integrated drilling machine, meanwhile, in-hole transient electromagnetic exploration adopts three-component measurement and an intelligent inversion algorithm to fill the blank of geological information between drill holes, and by means of mutual data correction of the three methods, the detection accuracy is improved. A three-in-one detection system of drilling, geophysical prospecting and intelligent analysis is formed, and then accurate advanced prediction is achieved, so that the problems that a traditional single detection technology is low in precision and insufficient in coverage range are effectively solved, the water inrush risk is remarkably reduced, construction safety is guaranteed, and the method is effectively suitable for deep tunnel TBM safety construction.

The present disclosure belongs to the field of geophysical exploration, and discloses a method, a system, a medium, a device and a terminal for predicting the probing depth of transient electromagnetic. Based on the existing published resistivity model database, the transient electromagnetic field in layered medium is calculated, and the probing depth is calculated based on Jacobian matrix to establish a training data set. The simulated induced electromotive force is used as the input of the neural network, and the calculated probing depth is used as the output of the network. A rapid mapping between observation data and probing depth is established by using residual neural network.

Sonde devices for providing magnetic field signals for use with utility locators or other devices are disclosed. In one embodiment a sonde device includes a housing, a core comprising a plurality of core sections, and one or more support structures, which may include windings. Circuit and / or power supply elements may be disposed fully or partially within the core to control generation of predefined magnetic field frequencies and waveforms.

The invention discloses a dam termite cave positioning method based on transient electromagnetism carried by an unmanned aerial vehicle. The method comprises the following steps: constructing an unmanned aerial vehicle transient electromagnetic detection system; preprocessing the received secondary induction electromagnetic field signal, and obtaining a comprehensive electromagnetic signal according to the response difference of the multi-frequency signal; inputting the integrated electromagnetic signals into a pre-trained deep learning neural network model, identifying characteristic signals related to termite acupoints in the integrated electromagnetic signals, and outputting position coordinates of suspected termite acupoints; a dam surface thermal imaging image obtained by a thermal imaging module is combined for secondary verification, and termite cave position information is transmitted to a ground control terminal in real time through a communication module carried by the unmanned aerial vehicle. According to the invention, efficient, accurate and lossless positioning of the termite cave of the dam is realized, underground electromagnetic signals and surface heat distribution information of the dam are rapidly obtained, and accurate termite cave position coordinates are output.

A downhole large-diameter drilling apparatus, comprising a large-diameter drilling-with-casing drill, a large-diameter drilling-with-casing guide drilling system, a collapse body metal detection and demolition system, and a self-moving multifunctional rescue operation cabin, wherein the large-diameter drilling-with-casing drill is configured to efficiently construct a large-diameter horizontal hole to serve as a rescue passage; the large-diameter drilling-with-casing guide drilling system uses a first-stage hole protection mode, a second-stage hole protection mode or a three-stage hole protection mode on the basis of the length of a collapse body and the stratum; the collapse body metal detection and demolition system can perform fine detection and rapid cutting on metal components in the collapse body; and the self-moving multifunctional rescue operation cabin can be configured to assist in obstacle removal at the bottom of a rescue hole while ensuring safety improvement of personnel in the cabin, thereby improving the construction efficiency of rescue drilling.

The invention discloses a 3D underwater electric field source positioning method based on cross array arrival angle estimation, and belongs to the field of electromagnetic positioning detection. The method comprises the steps of setting two groups of receiving electrode array components, obtaining respective noise subspaces of an X-axis array signal and a Y-axis array signal, constructing a first spatial spectrum function of a signal source rotating around an X axis and a second spatial spectrum function of the signal source rotating around a Y axis, performing two-dimensional search based on the first spatial spectrum function and the second spatial spectrum function, and obtaining a two-dimensional search result. And according to the rotation mapping relation in the space coordinate system, solving and obtaining a 3D coordinate result of the signal source based on the search result. According to array symmetry and matrix operation invariance, a processing mode of imaginary axis-around arrival angle estimation based on a cross array is provided, three-dimensional space searching is converted into two-time two-dimensional plane searching, the dipole moment direction is simplified, and therefore rapid and accurate positioning of a near-field space signal source is achieved.

The invention relates to the technical field of intelligent identification, and discloses an intelligent identification method for a geological stress concentration area. The method comprises the steps that a plurality of vector electromagnetic induction coils are arranged in a monitoring area in a latticed mode, and original electromagnetic pulse signals containing components in the X direction, the Y direction and the Z direction are collected; performing denoising and time-frequency analysis on the original electromagnetic pulse signal to obtain a multi-dimensional data cube; processing the multi-dimensional data cube by using an integer linear programming model and an adaptive fuzzy correction algorithm to obtain a corrected electromagnetic pulse signal data set; performing decomposition and mapping relation construction on the corrected electromagnetic pulse signal data set to obtain a geological stress distribution estimation value; and constructing a geological stress concentration area three-dimensional model according to the geological stress distribution estimation value. According to the method, the stress field boundary identification precision is enhanced, and the blind area is reduced, so that high-precision stress field reconstruction under complex geological conditions is realized.

The invention provides a regional electromagnetic patrol method and system based on vehicle-mounted electromagnetic detection equipment, and the method comprises the following steps: recognizing a target monitoring node based on historical data and an electromagnetic propagation model, and constructing an electromagnetic environment diagram network; a network is divided into sub-graphs through multi-scale clustering, a vehicle-mounted electromagnetic inspection vehicle and an edge server are deployed in each sub-graph area, and a central server is deployed in a central area. And the vehicle-mounted equipment performs electromagnetic detection according to the optimized path and acquires data. And the edge server updates the sub-graph by using edge calculation and federated learning technologies, and performs local anomaly analysis. And the central server aggregates all sub-graph update information to complete global update and anomaly analysis. And finally, local and global analysis results are fused to form a comprehensive electromagnetic anomaly analysis result, and the comprehensive electromagnetic anomaly analysis result is visually displayed on a regional map. According to the invention, real-time and accurate large-range electromagnetic environment monitoring and analysis are realized, and the electromagnetic management capability is effectively improved.

Utility locators for providing information about hidden or buried pipes or other cavities are disclosed. A locator may be configured to provide positional information associated with the buried utility based on signals received from a line trace signal and a sonde signal and present the positional information on a visual display or other output device.

A hole-tunnel induced polarization water exploration structure construction method, comprising steps: arranging a plurality of forward boreholes (2) at intervals on an outer edge area of a tunnel face; respectively providing in each forward borehole (2) an in-hole exploration cable having a power supply electrode A (5) and a power supply electrode B (6); providing in an array a plurality of out-hole exploration electrodes, which are configured as a measurement electrode M (7) and a measurement electrode N (8), outside the area occupied by the forward boreholes (2) of the tunnel face, wherein the power supply electrodes form a power supply closed loop, and the measurement electrodes form a measurement closed loop. Also provided is an inversion method for a hole-tunnel induced polarization water exploration structure, comprising steps: acquiring hole-based initial observation data, and forming exploration observation data; establishing a corresponding initial resistivity model and a corresponding initial polarizability model, and carrying out a conventional inversion electrical method to obtain a resistivity inversion model; establishing a tunnel resistivity and polarizability clustering joint inversion objective function; and performing iterative inversion to obtain a final inversion result.

The invention is suitable for the technical field of geophysical exploration, and provides a ground-air transient electromagnetic airborne receiving coil motion noise extraction method, which comprises the following steps: designing a receiving device carrying an IMU (Inertial Measurement Unit) sensor, the receiving device comprising a receiving coil, the IMU sensor and a synchronous clock; measuring a vector geomagnetic field in a transient electromagnetic detection area based on attitude angle data of the receiving device; and extracting the motion noise of the airborne transient electromagnetic coil based on the vector geomagnetic field and the attitude angle data. The invention designs a ground-air transient electromagnetic receiving device, and provides a method for extracting motion noise of an airborne receiving coil based on the ground-air transient electromagnetic receiving device, so that the problem that the motion noise is generated due to the fact that the coil cuts a geomagnetic field is effectively solved. Compared with a mode of directly separating the motion noise from the induced electromotive force signal, the method provided by the invention can directly extract the motion noise from the generation mechanism level of the motion noise, and effectively avoids the problem of incomplete noise extraction or target signal loss.

The invention provides a sea wave magnetic interference suppression method and device for ocean electromagnetic detection, and relates to the technical field of electromagnetic signal processing, and the method comprises the steps: synchronously collecting original electromagnetic signals through a plurality of annularly arranged magnetic sensors, generating interference parameters through employing the calculated interference signal amplitude and phase information, and carrying out the subsequent interference suppression processing. The method comprises the following steps of: calculating a covariance matrix, performing principal component analysis, extracting spatial characteristics of low-frequency magnetic interference, projecting a signal to an orthogonal subspace outside an interference subspace, removing a low-frequency magnetic interference component, retaining a target signal, performing Fourier transform to convert the signal to a frequency domain, analyzing a frequency spectrum by using a band elimination filter, and setting an interference threshold value. According to the identified interference frequency, an interference suppression signal is generated, the interference suppression signal is returned to the time domain through inverse Fourier transform and is superposed with the target signal to generate a standard electromagnetic signal, the magnetic interference in the ocean detection area can be effectively suppressed, and accurate acquisition and analysis of the standard electromagnetic signal are ensured.

The invention relates to the field of magnetic field generation, and discloses a multi-mode array magnetic field generation system and method. The single excitation source matrix excitation comprises an FPGA main control chip and a DDS signal generation module, a DDS chip reads a signal waveform stored in an ROM, a keying module is combined with a PLL clock signal module and an amplification circuit, signals with adjustable amplitude, frequency, phase and duty ratio are achieved, excitation is applied to an array coil through bipolar D / A conversion to generate magnetic fields of different modes, and the magnetic fields of different modes are generated. The Hall magneto-dependent sensor is combined to adjust the angle and direction of the generated magnetic field in real time, and the focusing angle of the magnetic field is dynamically changed. The array coil is excited by generating a plurality of current signals with different amplitudes, frequencies, phases, duty ratios and directions, and the Hall magneto-dependent sensor above the coil is combined, so that the energy and direction of an array magnetic field are controllable, the magnetic field generation efficiency is improved, and the detection target is enhanced.

The invention discloses an electromagnetic detection data efficient three-dimensional inversion method based on operator learning, and belongs to the technical field of geophysical inversion, and the method comprises the steps: constructing an operator learning data set which comprises a plurality of electromagnetic forward modeling models and forward modeling responses of the electromagnetic forward modeling models; performing aviation electromagnetic frequency domain forward calculation training based on the operator learning data set by using a DeepONet network to obtain a trained aviation electromagnetic three-dimensional forward operator; inputting the initial uniform half-space model, replacing a generator with an aviation electromagnetic three-dimensional positive operator, and constructing a WGAN network by taking a KAN network as a discriminator to carry out aviation electromagnetic three-dimensional inversion; training is carried out based on the loss function and the data fitting difference convergence condition to update the KAN network and the uniform half-space model, and finally the updated uniform half-space model is obtained to serve as an inversion result. According to the method, more efficient and accurate three-dimensional aviation electromagnetic inversion can be realized, and the method is more suitable for geophysical inversion application under complex data distribution.

The invention discloses a magnetotelluric signal noise suppression method and system based on complexity driving, and the method comprises the steps: firstly calculating the complexity feature CS of a signal segment, and then constructing and training a noise reduction model based on a multi-path attention residual denoising network, the network is formed by connecting a plurality of feature recovery modules with heterogeneous structures in parallel to form different main branches, different main branches are respectively provided with a shallow convolution module CBL, a channel structure modeling module MACNet and a global attention modeling module DHVT, each main branch is provided with a complexity sensing gating unit taking a complexity feature CS as input, and an output signal of the complexity sensing gating unit is input into a feature recovery module of the main branch in cooperation with a noisy signal segment; the path scheduling mechanism guides whether the feature recovery module of the main branch participates in data processing or not for an output result of the complexity sensing gating unit on each main branch; and finally, performing noise reduction on the actually measured magnetotelluric signal by using the trained multi-path attention residual denoising network.

The present disclosure provides techniques for obtaining a domain-specific model targeted for a downstream task. A method may include obtaining a plurality of unlabeled geospatially-indexed datasets from different geographic locations representing different subsurface geologic conditions; training a neural network model on the plurality of unlabeled geospatially-indexed datasets in a self-supervised manner to obtain a foundation model that develops generalizable representations capturing shared interrelationships across the different subsurface geologic conditions; obtaining a labeled geospatially-indexed training dataset specific to a designated survey area; adapting parameters of the foundation model through retraining using the labeled geospatially-indexed training dataset to develop a domain-specific model targeted for a prediction task in the designated survey area; and implementing the domain-specific model on new geospatially-indexed input data from the designated survey area to generate predictions tied to locations for the targeted prediction task.

The invention belongs to the technical field of geophysical methods, and particularly discloses a geophysical electromagnetic method data inversion method and system based on entropy constraint, and the method comprises the steps: dividing an inversion space, setting a conductivity value, and constructing an initial inversion model; a magnetotelluric regularization inversion objective function based on entropy constraint is constructed; and adopting a Gaussian-Newton method to minimize the magnetotelluric regularization inversion objective function, updating the initial inversion model, obtaining a conductivity model, and realizing magnetotelluric three-dimensional inversion. The method can achieve the effect of focusing inversion so as to obtain a high-resolution conductivity model with a clear boundary, and serves the fields of petroleum, mineral resource exploration and the like.

The invention provides an aviation transient electromagnetic fast Bayesian inversion method, device and equipment, and relates to the technical field of geophysical signal processing and analysis, and the aviation transient electromagnetic fast Bayesian inversion method comprises the steps: obtaining a resistivity model and the height of a transmitting coil; the resistivity model and the transmitting coil height serve as input data, electromagnetic response data serve as output data, a deep learning network model is trained, and a forward modeling model is obtained; coupling the forward modeling simulation model to a parallel Bayesian inversion framework to generate a target network model; and performing resistivity inversion and quantitative uncertainty analysis on to-be-analyzed aviation transient electromagnetic data based on the target network model to obtain an analysis result. By integrating a deep learning forward simulator into a Bayesian inversion framework, rapid Bayesian inversion and quantitative uncertainty estimation of aviation transient electromagnetic data can be realized, and the inversion efficiency is greatly improved.

The invention discloses a self-adaptive octree three-dimensional magnetic method inversion method fused with abnormal region recognition, and belongs to the technical field of three-dimensional magnetic method data inversion processing. Comprising the steps that initial inversion is rapidly completed on a coarse grid, the overall contour of an underground structure is obtained, a fuzzy c-means clustering algorithm is introduced, and a target area with significant magnetic anomaly is automatically extracted from a coarse solution; and constructing a multi-level octree grid in the extracted abnormal region to realize fine subdivision of the complex geological boundary, and further executing high-precision inversion by using a fine model as a new starting point. The adaptive octree grid has the characteristics of high efficiency, small grid number and small data fitting difference. The process of coarse inversion, intelligent identification, local refinement and fine inversion can be circularly executed as required, and computing resources are dynamically allocated. Compared with a traditional global fine grid scheme, the inversion process has the advantages that the inversion precision is maintained and even improved, and meanwhile, the number of grid units is remarkably reduced.

The invention discloses an unmanned aerial vehicle detection method based on multi-band radio spectrum analysis, and the method can recognize the flight control behaviors of a target, such as hovering, cruising or hovering, through the extraction of a signal track and the introduction of a behavior modeling mechanism, and effectively overcomes the defect that the prior art lacks the dynamic behavior analysis capability. A multi-node synchronization mechanism and a TDOA positioning method are combined, so that high-precision traceability of a target space position is realized; meanwhile, risk level assessment is carried out based on signal features, a track mode and a space region, so that the system has intelligent early warning capability. According to the whole scheme, a full-link unmanned aerial vehicle detection method from multi-frequency receiving, frequency spectrum identification, behavior judgment, target positioning to risk output is constructed, and the problems of single frequency band, rough identification means, lack of tracking and evaluation capability and the like in the prior art are effectively solved; and the practicability and the accuracy of the unmanned aerial vehicle detection system in a complex airspace environment are remarkably improved.

Apparatus, systems, and methods for mapping utility lines in utility potholing operations are disclosed. Pothole mapping apparatuses, systems, and methods may be employed in utility locator devices and utility locating systems to map potholed utility lines. Data generated via pothole mapping may be used to calibrate utility depth measurements in utility locator devices and systems. Further, information revealed about utility lines during potholing procedures may be used to train neural networks and utilize artificial intelligence in generating predictions regarding the positions and characteristics of utility lines.

The invention relates to a buried pipeline depth positioning method based on a two-degree body magnetic anomaly characteristic, and the method employs a three-component magnetic sensor for measurement, and can achieve the determination of the depth of a buried pipeline through a single measurement line on the premise of determining the azimuth angle of the pipeline. A buried pipeline is regarded as a two-dimensional body, a deviation ratio can be determined by solving a gradient value of a horizontal component magnetic anomaly curve of a single measuring line, presetting a pipeline burial depth value and calculating a magnetic dip angle, a magnetic declination angle and a pipeline azimuth angle according to measurement data, and the measurement accuracy is improved. After the distance between the horizontal coordinates corresponding to the maximum value and the minimum value of the magnetic anomaly gradient value of the single measuring line is obtained through the method, the actual pipeline burial depth value is calculated through a deviation ratio calculation formula. According to the method provided by the invention, the measurement data measured by the three-component magnetic sensor are fully utilized, the positioning result is more accurate, and the extra error caused by the need of pole-changing operation in other methods is overcome. The defect that the measuring line must be perpendicular to the axis direction of the pipeline when the pipeline burial depth is calculated through other methods is overcome, and the working efficiency is higher.

The invention provides a transient electromagnetic two-parameter joint inversion method, a transient electromagnetic two-parameter joint inversion device and storage equipment, and relates to the technical field of electric digital data processing. The method comprises the following steps: acquiring detected actual electromagnetic data; establishing a geological model; performing grid division on the geological model; performing parameter assignment on each grid unit to form an initial parameter model; based on the geologic model, constructing a theoretical mathematical model by using a forward modeling method; constructing an objective function, wherein the objective function comprises an FCM clustering item; optimizing the target function to obtain a target geological model; according to the transient electromagnetic two-parameter joint inversion method provided by the invention, the problem that the two-parameter joint inversion is difficult to realize due to weak correlation between the resistivity and the polarizability in the prior art can be solved.

The invention belongs to the technical field of geophysical exploration. The invention provides a transient electromagnetic data three-dimensional inversion method, a transient electromagnetic data three-dimensional inversion system, a medium, a product and transient electromagnetic data three-dimensional inversion equipment. Three-dimensional regularization inversion is carried out by taking a minimum sum of a product of a model constraint term and a regularization parameter and a data fitting term as an objective function. The step of obtaining the sensitivity matrix in the gradient of the target function comprises the steps of solving a three-dimensional forward modeling electromagnetic field full-discrete equation to obtain a forward modeling field, constructing an adjoint forward modeling electromagnetic field full-discrete equation with a coefficient matrix being a low-order three-diagonal matrix, solving the adjoint forward modeling electromagnetic field full-discrete equation to obtain a calculated adjoint field, and calculating the sensitivity matrix in the gradient of the target function. And obtaining a sensitivity matrix according to the forward modeling field and the adjoint field. According to the method, the coupling electromagnetic field is decomposed by using a direct splitting strategy, and the large sparse matrix is reconstructed into a series of low-order tridiagonal matrixes, so that only the low-order tridiagonal matrixes need to be solved in a forward modeling process or sensitivity calculation, and the three-dimensional inversion speed is remarkably increased.