70 results about "Magnetic survey" patented technology

The invention provides a global magnetic disturbance compensation method in aviation magnetic survey. The method comprises the following steps: S1, performing high-altitude calibration flight through a motion platform, and acquiring total magnetic field data based on detection data of an optical pump magnetometer; s2, obtaining geomagnetic background gradient information and obtaining geomagnetic field data based on the geomagnetic background gradient information; s3, obtaining motion platform magnetic interference data according to the total magnetic field data and the geomagnetic field data; s4, motion platform attitude information, motion platform current information and fluxgate magnetometer detection data are acquired; s5, obtaining a motion platform magnetic interference coefficient according to the motion platform magnetic interference data, the motion platform attitude information, the motion platform current information and the fluxgate magnetometer detection data; and S6, according to the geomagnetic background gradient information and the motion platform magnetic interference coefficient, performing data compensation on the total magnetic field data in real time during actual aviation magnetic measurement.

The invention discloses a mixed hexahedron magnetic data inversion method based on random weighting, and belongs to the field of magnetic signal processing, and the method comprises the steps: carrying out the space division of an underground inversion region through employing a structure and non-structure combined mixed hexahedron grid, and discretizing an underground space into N hexahedron units; generating projection geometries with different size parameters and spatial positions through random assignment, embedding the projection geometries into the subdivided grid model, repeating N times to construct N independent N * 1-dimensional model column vectors, and then performing random sequential splicing to obtain an N * N-dimensional random weighting matrix; constructing an inversion objective function based on the random weighting matrix, and solving to obtain weighting domain magnetization intensity; and in combination with a random weighting matrix and a solving result, obtaining spatial distribution of three-dimensional magnetization intensity, and realizing construction of an inversion image. According to the invention, rapid and fine inversion of the geophysical magnetic data under the rugged topography is realized, and the inversion precision and reliability of the magnetic survey data under the complex topographic condition are improved.

The invention provides a satellite magnetic measurement data downward continuation method, device and equipment and a medium, and the method comprises the steps: inputting observation data, and converting the observation data obtained during satellite in-orbit measurement from a spherical coordinate system to a rectangular coordinate system; determining a model calculation domain, and generating a series of configuration points in the model calculation domain; normalizing observation data position coordinates, configuration point position coordinates and magnetic field three-component data under the rectangular coordinate system to serve as training data; inputting observation data position coordinates and configuration point position coordinates under the rectangular coordinate system into a neural network model, constructing a loss function based on observation data fitting errors and Laplacian equation physical constraints, and training the neural network model; and according to application requirements, generating a target position coordinate on a target continuation plane or space, inputting the target position coordinate into the trained neural network model, obtaining magnetic field three-component data at the target position coordinate, and realizing high-precision downward continuation.

The invention discloses a magnetic data boundary identification method and system based on a physical prior selection module, and relates to the technical field of geophysical exploration, and the method comprises the steps: building a magnetic anomaly data set through underground target magnetic anomaly data with different parameters; generating magnetic measurement data through a magnetic anomaly forward modeling calculation formula, and forming a magnetic measurement data set; constructing a boundary recognition network model based on UNet + +, and integrating the physical prior selection module to the boundary recognition network model; inputting the training set sample, the verification set sample and the test set sample into a physical prior selection module for operator transformation, and generating a corresponding transformation result graph; and calculating the structural similarity index of each transformation result graph and the corresponding sample label, and splicing the transformation result graph with the maximum structural similarity index and the corresponding sample according to the channel dimension to generate a corresponding multi-channel feature. According to the method, the boundary recognition network model is established and the physical prior selection module is added, so that the robustness of the boundary recognition network model to complex noise is improved.

The invention belongs to the marine electromagnetic exploration technology, and relates to a deep-sea hydrothermal sulfide anisotropy detection system and method, and the system comprises a transmitting system which comprises an X-axis coil whose normal direction is located at an X axis, a Y-axis coil whose normal direction is located at a Y axis, and a Z-axis coil whose normal direction is located at a Z axis, and forms an orthogonal structure; the three-component synchronous receiving system comprises a three-axis receiving coil located in a seabed hole, and the three-axis receiving coil continuously collects the magnetic field intensity, the polarization direction and the three-dimensional space coordinates at each receiving node; the three-axis synchronous control system adopts a multi-frequency orthogonal current signal with a phase difference of 90 degrees; and the processor is used for performing spectral analysis on the signal received by the three-component synchronous receiving system, calculating an anisotropic response ratio in each polarization direction in a horizontal plane according to the complex amplitude response, and determining a superior principal axis direction of conductivity anisotropy according to the anisotropic response ratio. According to the invention, full-angle scanning excitation is realized, and the detection capability of the anisotropic structure of the hydrothermal sulfide is remarkably improved.

The invention discloses a rapid comprehensive survey method and system for natural hydrogen resources, and the method comprises the steps: rapidly delineating a prospective area through remote sensing and geochemical measurement, fusing aviation gravity and magnetism, earthquake, time-frequency electromagnetism and ground geological survey multi-source data, finding out the characteristics of hydrogen source rock, a migration channel, a reservoir stratum and a cover stratum through the integrated evaluation of source-communication-storage-cover, and carrying out the comprehensive survey of the natural hydrogen resources. A target area is optimized through multi-information fusion, drilling verification is carried out, and efficient exploration of natural hydrogen resources is achieved. According to the method, the potential of the natural hydrogen resource can be rapidly and accurately evaluated.

The invention relates to the field of geophysical electromagnetic exploration, and provides a time-frequency electromagnetic data processing method, device, equipment and medium, and the method comprises the steps: calculating the similarity offset ratio of each measuring point on a measuring line, and determining a static displacement measuring point on the measuring line based on the similarity offset ratio; calculating equivalent apparent resistivity ratio of static displacement measurement point based on equivalent apparent resistivity of electric field component and corrected equivalent apparent resistivity of magnetic field component corresponding to adjacent measurement points on left and right sides of static displacement measurement point, and updating equivalence of electric field component of static displacement measurement point based on equivalent apparent resistivity ratio and corrected equivalent apparent resistivity of magnetic field component apparent resistivity; and completing static displacement correction in response to the static displacement measuring points on the measuring line, and performing inversion calculation on the magnetic field component amplitude and the electric field component amplitude of each measuring point on the measuring line to obtain resistivity distribution of a preset depth below the measuring line. The scheme disclosed by the invention is beneficial to improving the exploration and prediction precision of the time-frequency electromagnetic oil and gas target.

The application discloses a kind of ocean stereo magnetic survey system and method based on unmanned platform, belong to marine detection equipment technical field, including water surface magnetic transverse gradient measurement subsystem, underwater magnetic total field measurement subsystem, ground magnetic diurnal variation observation station and data synchronization and compensation processing center.Processing center, built-in improved 18 items Tolles-Lawson magnetic interference compensation model, real-time solution and eliminate platform constant field, induction field and eddy current field interference.The application is realized through the cooperation of combined navigation and automatic roll reduction device, attitude depth adjustment mechanism, water surface / underwater platform high-precision attitude positioning and attitude keeping;After diurnal variation correction, attitude correction and position calculation, water surface transverse magnetic gradient and vertical magnetic gradient are solved, and water surface-underwater stereo magnetic survey cooperative operation and high dynamic platform magnetic interference real-time compensation are realized, which significantly improves the precision, efficiency and spatial resolution of marine magnetic anomaly detection.

The application discloses a method for obtaining accurate aeromagnetic survey data based on an improved field source parameter imaging method, and comprises the following steps: obtaining the actually measured aeromagnetic survey data of a test area; performing Fourier transform on the aeromagnetic survey data in a frequency domain; obtaining the horizontal second-order mixed partial derivative of the z-direction vertical first-order derivative along the x-direction according to the Fourier transform result of the aeromagnetic survey data and a first partial derivative factor in the frequency domain; constructing a noise suppression factor, and obtaining the z-direction vertical second-order derivative after noise suppression according to the Fourier transform result of the aeromagnetic survey data, a second partial derivative factor in the frequency domain and the noise suppression factor; and obtaining the accurate aeromagnetic survey data according to the second-order mixed partial derivative and the z-direction vertical second-order derivative after noise suppression. The method for obtaining accurate aeromagnetic survey data based on the field source parameter imaging method can solve the problem of "analytical singular points" in the iSPI field source parameter imaging method, thereby improving the calculation stability.

A seabed magnetic exploration device capable of suppressing the difference in distance from each magnetic sensor to the seabed. [Solution] This is an underwater magnetic exploration device that explores dangerous objects on the seabed F by measuring with multiple magnetic sensors 12-21 fixed at intervals in a width direction W perpendicular to the direction of movement T of a frame body 11 that moves underwater. The device is equipped with multiple transmitters and receivers fixed to different locations in the width direction of the frame body 11, each of which emits sound waves toward the seabed F and receives reflected waves, distance derivation means that derives the distance from each transmitter and receiver to the seabed F based on the time difference between the emission of the sound wave by each transmitter and receiver and the reception of the reflected wave, and tilt adjustment means 25, 26, 27, 28 that adjust the tilt of the frame body 11 in the width direction.

The application discloses a time-frequency electromagnetic exploration method and system for improving exploration depth and resolution, and relates to the technical field of exploration. The method comprises the following steps: arranging a multi-directional excitation source and a mobile remote end array observation system, and sparsely collecting time-frequency electromagnetic signals; reconstructing data and reducing noise based on compression sensing; constructing a time-frequency dual-domain joint inversion target function, introducing cross gradient constraints and physical constraints, and realizing intelligent collaborative inversion through depth reinforcement learning; outputting a high-precision three-dimensional geological model through Bayesian uncertainty analysis and multi-source data fusion verification; and the system comprises excitation, observation, data processing, intelligent inversion and interpretation visualization modules. The scheme improves exploration depth and resolution, improves data acquisition and inversion efficiency, and guarantees the accuracy of geological interpretation.

The present invention discloses a multi-scale electromagnetic exploration method based on single-electrode potential detection, which relates to the field of exploration geophysical technology. The method includes: determining the measurement area, clarifying the exploration target, and determining the measurement area and measurement point density based on the depth of the exploration target; deploying a number of transmitting sources and receiving arrays in the measurement area to collect surface potential data of the measurement area in real time, and processing the data frequency by frequency according to a preset frequency sequence; generating a surface potential distribution surface based on the single-electrode potential data, constraining and suppressing the field source effect, obtaining electric field distribution information of the measurement surface, and calculating apparent resistivity parameters in combination with magnetic field measurement data; using a multi-directional excitation mode and a multi-source emission scheme to suppress the field source effect, and constructing a three-dimensional resistivity profile to identify low-resistance or high-resistance bodies. The present invention solves the static effect and volume effect, breaking through the limitations of existing electromagnetic instruments on detection accuracy and depth.

This invention discloses a multi-source electromagnetic noise suppression method based on noise classification and deep learning, belonging to the field of geophysical electromagnetic exploration technology. The method includes: segmenting and preprocessing the original electromagnetic observation sequence; using an improved U-Net network with an encoder embedded in a Mamba time-series modeling module for low-frequency noise suppression; identifying strong noise types in the data segments using a ROCKET classifier; based on the classification results, calling a second improved U-Net network trained for the corresponding noise type for class-based targeted denoising; and finally, splicing the data segments to obtain complete, high-quality data. This invention, through a phased processing framework of "low-frequency pre-suppression—noise classification—class-based denoising," combined with the strong time-series modeling capabilities of the Mamba module and the efficient classification performance of ROCKET, significantly improves the suppression accuracy and signal fidelity for complex, multi-source electromagnetic noise, and is particularly suitable for processing ground and airborne electromagnetic exploration data.

This invention, in the field of geophysical electromagnetic exploration technology, discloses a system and method for evaluating the grouting effect at the working face based on the charge-induced polarization method. A power supply device and a receiving device are deployed around the grouting drill rod at the working face. The power supply device includes power supply electrodes that directly charge the water body. The receiving device includes multiple non-polarized electrodes uniformly distributed on the working face. The method includes: after the power supply current stabilizes, injecting a high-conductivity, high-polarization solution into the water body in front of the working face, and during the injection of grout into the water body in front of the working face, acquiring the electric field components received by the multiple non-polarized electrodes. For the data received at the same time, the distribution data of electrical parameters at the working face are calculated to determine the changes in the distribution of the water body in front of the working face, and to infer the grout migration and solidification process. By setting up power supply electrodes directly connected to the water body in front of the working face, observation data can be acquired in real time before and during grouting, realizing dynamic monitoring of the grouting effect during the grouting process.

This invention proposes a method for suppressing short-duration diurnal magnetic field interference based on dual-aircraft collaboration. Addressing the challenges of establishing fixed diurnal variation monitoring stations and lacking effective diurnal variation reference information in offshore dual-aircraft collaborative airborne magnetic surveys, this method utilizes airborne magnetic survey data collected during near-shore airborne magnetic surveys and synchronous observation data from diurnal variation monitoring stations. It proposes a dual-aircraft collaborative diurnal magnetic interference suppression method based on a neural network-guided blind source separation algorithm. This method first uses a deep neural network to learn and extract prior features of diurnal variation interference from the dual-aircraft observation signals. These features are then used as guiding information in the blind source separation process to separate the independent source components corresponding to the diurnal magnetic interference, ultimately achieving high-precision identification and suppression of diurnal variation interference components in the original signal. This method can efficiently separate and suppress short-duration diurnal magnetic interference, significantly improve the signal-to-noise ratio of magnetic survey data, and effectively preserve the target magnetic anomaly characteristics, providing reliable technical support for high-precision airborne magnetic surveys.

The invention discloses a magnetometer combined multi-rotor unmanned aerial vehicle aeromagnetic measurement method and a magnetometer combined multi-rotor unmanned aerial vehicle aeromagnetic measurement system, and the method comprises the following steps: S1, obtaining basic information of a user, and based on the basic information of the user, sending a starting command to an optical pump magnetometer and a fluxgate magnetometer by an upper computer; s2, integrating the acquired magnetometer data, the attitude subscribed by the unmanned aerial vehicle and a GPS signal by the main control chip; s3, a local redundancy storage and dynamic cloud transmission mechanism is adopted, the integrated data is safely stored in an SD card, and cloud synchronization is completed in a self-adaptive mode based on the network state. According to the invention, data acquisition and integration of two magnetometers are carried out to improve the global applicability of magnetic field measurement, the problem of insufficient precision of a single magnetometer is improved, efficient and accurate aeromagnetic detection is realized, and dynamic balance of data security and real-time performance is guaranteed through local SD card storage and cloud selective uploading.

The present invention discloses a magnetic anomaly pole-localization method based on equivalent source inversion, comprising: uniformly gridding the underground space according to observation data, and constructing an equivalent source space by setting an inversion depth; obtaining a sensitivity matrix for forward and inverse calculations of magnetic survey data according to the observation data and parameters of the equivalent source space; calculating physical parameters of the equivalent source space using a generalized minimum residual method according to the sensitivity matrix and magnetic anomaly data, and constructing an equivalent source model; forward modeling the vertically magnetized geomagnetic field according to the sensitivity matrix and the equivalent source model to obtain a magnetic anomaly pole-localization result. The method reconstructs an inversion calculation framework of the equivalent source model based on the generalized minimum residual method, solves problems such as the difficulty in solving large-scale equation groups in similar inversions, improves the efficiency and accuracy of equivalent field source inversion imaging, can well achieve stable pole-localization under arbitrary geomagnetic inclination conditions, and is suitable for pole-localization processing of magnetic anomalies in regions with low geomagnetic latitudes, especially in the magnetic equatorial region.

The invention discloses an aeromagnetic measurement compensation method, system and device based on a magnetic sensing chip network, and belongs to the technical field of aeromagnetic compensation and aeromagnetic measurement. The method comprises the following steps: acquiring flight attitude data of an aircraft and geomagnetic field observation values acquired by all magnetic sensing chip nodes in real time in a detection flight process of the aircraft; inputting the flight attitude data into a three-dimensional interference field prediction module of a pre-trained aviation magnetic measurement compensation model, and outputting a magnetic interference prediction value at each magnetic sensing chip node under the current flight attitude; inputting the geomagnetic field observation value and the magnetic interference prediction value at each magnetic sensing chip node into a real-time compensation calculation module of an aviation magnetic survey compensation model, and outputting a geomagnetic field detection result obtained by current detection of the aircraft; and the real-time compensation calculation module is used for determining a geomagnetic field detection result according to the geomagnetic field observation values and the magnetic interference prediction values at all the magnetic sensing chip nodes and the weight coefficient corresponding to each magnetic sensing chip node.

A method of magnetic survey including: acquiring calibration measurements with bird including a vector magnetometer, a plurality of inertial sensors, and a GNSS transceiver, in a known magnetic field; determining calibration parameters using the calibration measurements; acquiring vector magnetic measurements with the vector magnetometer, orientation measurements with the inertial sensors, and position measurements with the GNSS transceiver, while towing the bird with an aerial vehicle along a flight path; and correcting the vector magnetic measurements to provide corrected magnetic vector measurements by: calibrating the vector magnetic measurements using the calibration parameters; aligning the vector magnetic measurements to a position measurement coordinate space using the orientation measurements; and providing the corrected vector magnetic measurements with the position measurements.

This invention provides a method and system for projecting anomaly data from aerial magnetic surveys obtained by drone terrain-following flight onto the ground. [Solution] The method includes the steps of: acquiring aeronautical magnetic data at a fixed flight altitude during terrain-following flight; acquiring spectral information of the fixed flight altitude Dirichlet problem solution under initial boundary value conditions for ground magnetic anomalies; establishing a least-squares iterative optimization solution of the inverse Fourier transform of the aeronautical magnetic data and spectral information; and obtaining ground projection data based on the least-squares iterative optimization solution. The present invention is an efficient and practical application method technology that can obtain aeronautical magnetic anomaly resolution equivalent to that of ground collection while taking advantage of the rapid data collection efficiency of drone aeronautical magnetic surveys. This method technology has a significant effect in improving the application effect of low-altitude drone aeronautical magnetic surveys and expanding the flight altitude space of drone aeronautical magnetic surveys.

The present invention discloses an underground target imaging method and imaging system based on variable-scale deep learning, which belongs to the field of geophysical exploration technology and includes the following steps: S1: establishing a multi-scale magnetic survey data set; S2: constructing a variable-scale deep learning network model based on UNet++, and the dynamic information fusion layer performs feature fusion on the information after pooling and split convolution, which can adapt to input data of any size and compensate for the information loss caused by pooling; S3: designing a multi-constraint loss function consisting of mean square error and loss weighting; S4: adopting transfer learning, taking the model parameters trained with a fixed size as the initial weights, and realizing progressive training of multi-size data by freezing and fine-tuning the decoder parameters, and finally verifying the effectiveness of the entire network model according to the prediction effect of the test set. This not only improves the versatility and flexibility of the network when processing data of different scales, but also can quickly adapt to the large-size data characteristics of a specific area.

The application belongs to the field of tunnel and underground engineering grouting technology, and provides a slurry diffusion range rapid exploration method and system based on magnetic tracer material, and the technical scheme is: based on the determined magnetic field detection line, drawing the target area grouting before and after the magnetic field distribution map; according to the target area grouting before and after the magnetic field distribution map, the abnormal magnetic field distribution characteristics are calculated; based on the obtained magnetic grouting body magnetization rate and magnetic field response characteristics after grouting, the underground magnetic grouting body distribution range is inverted, and the magnetic grouting body stratum model is drawn; the magnetic grouting body stratum model is modified combined with the obtained abnormal magnetic field distribution characteristics, and the magnetic grouting body distribution range is obtained. By adding magnetic tracer material in the slurry, combined with the airborne magnetic survey method, the slurry diffusion range rapid exploration in the stratum grouting reconstruction engineering is realized, and the efficiency of the grouting effect evaluation is improved.

The invention discloses a self-adaptive underwater magnetic measurement carrier magnetic force influence measurement method and system, and relates to the technical field of carrier magnetic force measurement, and the method comprises the steps: selecting a carrier magnetic force influence measurement region meeting conditions as a target measurement region; carrying out near-bottom magnetic measurement operation in an operation area based on the autonomous underwater vehicle to obtain attitude information of an operation carrier and a corresponding timestamp; establishing a feature data set based on the operation carrier attitude information and the timestamp; obtaining a job action set based on the feature data set; obtaining a plurality of different initial paths based on the operation action set and the boundary constraint to form an initial path set; performing iterative adjustment by adopting an optimization algorithm based on the initial path set to obtain an optimal measurement path; carrying out carrier magnetic force measurement operation in the target measurement area according to the optimal measurement path based on the autonomous underwater vehicle to obtain measurement carrier attitude data; and constructing a magnetic influence model based on measured carrier attitude data to estimate the interference magnetic field. And the precision and reliability of underwater magnetic measurement data are improved.

The invention discloses an electrical source transient electromagnetic method, system and device for avoiding an induced polarization effect, and a medium, and relates to the technical field of geophysical exploration. The method comprises the following steps: exciting a secondary field for a target area by adopting square wave pulses with set pulse width and set duty ratio; collecting a vertical induced voltage component of the secondary field by adopting a magnetic rod or a coil; calculating full-period apparent resistivity based on the vertical induced voltage component and the pulse response function, and constructing an underground resistivity structure through a three-dimensional inversion algorithm to obtain a resistivity image; the resistivity imaging is used for describing a transient electromagnetic exploration result. According to the method, the problems of IP effect interference and low inversion precision in a traditional transient electromagnetic method can be solved, and resistivity high-precision imaging without IP interference is realized.

The invention provides a ground transient electromagnetic exploration device, and relates to the technical field of geophysical exploration, and the device comprises a placement box, the front side of the placement box is provided with a storage groove, the interior of the storage groove is provided with a transient electromagnetic instrument body, the front side of the placement box is provided with an upper cover used for covering the storage groove, and the bottom of the placement box is provided with a moving mechanism. A monitoring assembly is arranged on the transient electromagnetic instrument body, the monitoring assembly is connected with a control module, the monitoring assembly is used for collecting three-axis acceleration data, three-axis angular velocity data, impact pressure data and coil impedance baseline data of the transient electromagnetic instrument body, and the control module is used for performing diagnosis according to related data. According to the invention, field operation convenience and equipment safety are improved through a portable moving mechanism and a multi-buffer system, collision risk intelligent identification and trend prediction are realized in combination with an improved LSTM algorithm, the equipment damage risk is effectively reduced, the exploration data quality is guaranteed, and the exploration efficiency and reliability under complex terrains are significantly improved.

The invention discloses a lower suspension unmanned aerial vehicle aeromagnetic vertical vector measurement system for detecting humanistic magnetic source articles in emergency rescue. The system comprises an unmanned aerial vehicle platform module, a magnetic probe rod and driving module, a sensor module, a data acquisition and processing module, a data transmission module and a ground terminal module. The beneficial effects of the invention are that the probe of the high-sensitivity optical pump atom vector magnetometer is suspended below the unmanned aerial vehicle by adopting the magnetic probe rod capable of actively stretching and retracting, and the probe can be lowered to the height close to the ground to work, so that the detection sensitivity of a shallow weak magnetic target is improved. Magnetometer data, unmanned aerial vehicle RTK positioning data and attitude data are synchronously acquired through an airborne computing platform based on ROS, and high-precision time alignment and fusion processing are carried out. The ground terminal provides various visual displays such as a real-time magnetic anomaly contour map and a magnetic anomaly profile map. The technical problems that an existing unmanned aerial vehicle magnetic measurement system is insufficient in shallow-buried small-scale humanistic magnetic source target detection sensitivity, poor in low-altitude operation safety and insufficient in multi-source data fusion processing are solved.

The invention provides an earth main magnetic field model modeling method, a computer device and a computer readable storage medium, and the method comprises the steps: obtaining magnetic measurement data, and generating a magnetic measurement data file; inputting the associated parameters of the multiple pieces of magnetic measurement data into a preset geomagnetic model, and calculating first corrected magnetic measurement data; establishing ocean current models in different time periods; establishing a Maxwell equation set of the ocean current induced magnetic field, and solving the Maxwell equation set according to the ocean current model of each time period to obtain an ocean current induced magnetic field model of each time period; inputting the associated parameters of the multiple pieces of magnetic measurement data into the ocean current induced magnetic field model corresponding to the same time as the magnetic measurement data to obtain an ocean current induced magnetic field predicted value of each time period, and subtracting the ocean current induced magnetic field predicted values from the multiple pieces of first correction magnetic measurement data to obtain final correction magnetic measurement data; and calculating a target earth main magnetic field model by using the final corrected magnetic survey data. The method can improve the calculation precision of the target earth main magnetic field model.

The application provides a mineralization domain spatial distribution prediction method and system based on geological prior knowledge, and relates to the technical field of mineral exploration, wherein the method comprises the following steps: obtaining drilling core assay analysis data and magnetic survey data of a target mining area; then processing geochemical data to obtain an element concentration data set, and performing a potential field conversion on the magnetic survey data to generate a magnetization direction data set; then using a fractal algorithm to identify geochemical anomaly information from the concentration data set and determine an anomaly range, fusing the anomaly range and the magnetization direction data set, and then performing three-dimensional visualization modeling to construct a three-dimensional geological model; finally, extracting feature data in the three-dimensional geological model and inputting the feature data into a machine learning prediction model for processing to obtain a distribution map representing the existence probability of the mineralization domain in the space of the mining area. The application improves the accuracy of predicting the spatial position of a concealed mineralization domain.

The application discloses a method for obtaining accurate aeromagnetic survey data based on a field source parameter imaging method, and comprises the following steps: obtaining the actually measured aeromagnetic survey data of a test area; performing Fourier transform on the aeromagnetic survey data in a frequency domain; obtaining an x-direction horizontal gradient according to the Fourier transform result of the aeromagnetic survey data and an x-direction gradient in the frequency domain; constructing a noise suppression factor, and obtaining an improved z-direction vertical gradient according to the Fourier transform result of the aeromagnetic survey data, a conversion factor of the x-direction gradient in the frequency domain and the noise suppression factor, wherein the noise suppression factor is related to the inversion quality of a subsurface magnetic body; and obtaining the accurate aeromagnetic survey data according to the x-direction horizontal gradient and the improved z-direction vertical gradient. The method for obtaining accurate aeromagnetic survey data based on the field source parameter imaging method can solve the problem of "analytical singular points" in the SPI field source parameter imaging method, thereby improving the calculation stability.