48 results about "Total field" patented technology

The invention belongs to the technical field of geophysical exploration, and discloses a transient electromagnetic vertical component detection data one-dimensional real-time accurate inversion method and system. Processing the established stratum model, training the constructed Seq2seq network by using a back propagation algorithm, and training transient electromagnetic optimal inversion models with different numbers of layers; performing background field extraction on all measurement points of the actually measured data, constructing simulated background field data, and extracting pure abnormal field ratio data; multiplying the obtained actually measured pure abnormal field ratio data by the obtained simulated background curve to reconstruct brand new total field data; the reconstructed brand-new total field data is corrected to be consistent with the time domain of the sample library; an inversion model of the corresponding layer number is selected, and the resistivity-thickness of the stratum is calculated in real time; and carrying out visual display on an inversion result. According to the invention, inversion precision is improved, and real-time inversion of transient electromagnetic detection data is realized.

The invention discloses an electromagnetic scattering calculation method based on deep learning under the condition that the shape and electrical parameters of a scatterer are not completely known. The electromagnetic scattering calculation method comprises the following steps: step 1, inputting electrical parameters of a known part of the scatterer, such as relative dielectric constant and magnetic conductivity, an incident field, a small amount of scattered field (observation / measurement) data and position coordinates of a to-be-solved scattered field; 2, solving an internal total field under the condition that only the known part of the scatterer exists and the unknown part does not exist by adopting a moment method; 3, inputting a small amount of scattered field (observation / measurement) data, an internal total field under the condition that only the known part of the scatterer exists and the unknown part does not exist, and the electrical parameters of the known part of the scatterer into a deep learning neural network, and obtaining the electrical parameters of the unknown part of the scatterer through the network, such as a relative dielectric constant and magnetic conductivity; 4, inputting the internal total field under the condition that only the known part of the scatterer exists and the unknown part does not exist, the electrical parameters of the unknown part of the scatterer and the electrical parameters of the known part of the scatterer into another neural network, and obtaining the internal total field of the complete scatterer through the network; and 5, calculating a total field or a scattering field at any position according to a moment method. According to the method, prediction of the scattering characteristics of the scatterer of which the shape and the electrical parameters are not completely known can be completed under the condition that only a very small amount of scattering field (observation / measurement) data is needed.

The invention discloses a three-axis fluxgate sensor error calibration method, system and device and a medium, and relates to the field of error calibration, and the method comprises the steps: obtaining initial geomagnetic field magnetic measurement data, weak magnetic field magnetic measurement data and a geomagnetic total field module value of a three-axis fluxgate sensor; determining an orthogonality error and a sensitivity error based on geomagnetic field magnetic measurement data, a geomagnetic total field module value and a fluxgate sensor error model for the h iteration; substituting the orthogonality error and the sensitivity error into a fluxgate sensor error model, and determining a zero offset error based on weak magnetic field magnetic measurement data; judging whether the zero-offset relative deviation value is smaller than a preset threshold value or not; if yes, outputting the orthogonality error, the sensitivity error and the zero offset error during the h-th iteration as fluxgate error values; and if not, carrying out zero offset correction on the geomagnetic field magnetic measurement data by adopting the zero offset error during the h iteration, and carrying out the (h + 1) iteration. According to the invention, the calculation precision of the error of the three-axis fluxgate sensor is improved.

The embodiment of the invention provides an aviation gravity and magnetic vector dynamic measurement method based on multi-source data synchronous fusion, and relates to the technical field of data acquisition, after sensor array data on a driving flight platform is acquired, a specific force measurement value, a carrier pitch angle, a carrier roll angle and a carrier motion parameter are calculated and output; calculating three output gravity disturbance components by adopting carrier motion parameters and specific force measurement values; fusing total field data of the optical pumping magnetometer to carry out magnetic vector calculation on three-component data of the fluxgate and outputting geomagnetic total elements; and taking a carrier pitch angle, a carrier roll angle, a carrier position, a carrier speed and a carrier course angle as carrier pose data, combining the geomagnetic total elements and the carrier pose data, and outputting a dynamic measurement result of the gravity-magnetic vector field. The problems that in the prior art, gravity measurement and magnetic measurement are separated, equipment redundancy is low in efficiency, collection time is asynchronous, and data precision is reduced are solved. The effect of high-precision, high-dynamic and high-efficiency synchronous acquisition of the gravity and magnetic vector data under the single platform is achieved.

This invention provides a method and system for three-dimensional high-frequency controllable source electromagnetic numerical simulation with dual-source excitation. The method constructs a single-source electromagnetic field grid model and a three-dimensional spatial domain total field equation, converting it into a quadratic field control equation by separating the primary and secondary fields. Fourier transform is used to transform the equations to the wavenumber domain, and shape function interpolation is performed iteratively to obtain the wavenumber domain numerical solution. A single-source forward excitation solution is obtained through inverse Fourier transform. A single-source reverse excitation solution is obtained by reversing the current direction. Finally, the forward and reverse solutions are vector-superimposed to obtain the dual-source excitation simulation result. This invention solves the technical problems of existing technologies, such as simulation distortion caused by neglecting displacement current in the 100kHz-10MHz frequency band, numerical calculation interference from field source singularities, and low spatial resolution of complex underground anomalies under single-source excitation. By simulating gradient field response characteristics through dual-source reverse superposition, the sensitivity and exploration resolution of underground target boundaries are significantly improved.

The present invention provides a vibration and noise suppression method and a magnetic field detection system based on vector total field synthesis for magnetic field detection, including: respectively collecting magnetic field quantities in a first direction, a second direction, and a third direction of a magnetic field to be measured; any two of the first direction, the second direction, and the third direction are perpendicular to each other; calculating the total magnetic field quantity after adding the preset bias quantity corresponding to each direction to the magnetic field quantity in each direction, and calculating the segmented power spectrum of the total magnetic field quantity according to the spectrum estimation method; based on the segmented power spectrum in the concerned frequency band and the mapping relationship between the bias quantity in each direction and the noise bias value of the total magnetic field, solving for the minimum value of the noise bias value in the concerned frequency band and the corresponding bias quantity in each direction, so as to obtain the total magnetic field quantity after noise reduction. The present invention can effectively weaken the attitude sensitivity brought by the vector detector, and at the same time make the low-frequency noise of the synthesized total field smaller, thereby improving the anti-interference ability and sensitivity of the detector.

The invention discloses a method for calculating a quantitative magnetic susceptibility image through total field inversion based on a Green function. The method is used for separating a background magnetic field and reconstructing a whole-brain quantitative magnetic susceptibility image in magnetic resonance imaging. According to the boundary element method full-field inversion method, filtering and regularization processing on tissue magnetic susceptibility are prevented from being additionally introduced when background field interference is removed, the background field can be effectively separated, a whole-brain quantitative magnetic susceptibility image can be reconstructed, the boundary erosion phenomenon cannot occur, and the boundary element method full-field inversion method particularly shows excellent performance in a cortex area. According to the method, a fast multipole method is adopted to efficiently process storage and calculation of a dense matrix generated by a boundary integral equation.

The present invention discloses a method for predicting the near-field radiation of an array antenna based on polarization vector synthesis, comprising the following steps: 1) constructing a unit characteristic characterization matrix for the antenna units of the array antenna; 2) constructing an array configuration description matrix for the array antenna based on the unit characteristic characterization matrix; 3) setting array frequency, radiation power, and radiation efficiency parameters; 4) projecting the source polarization vector from the unit local coordinate system to the array global coordinate system; 5) calculating the projection of the source polarization vector at the field point based on the position of the field observation point; 6) decomposing the projection of the source polarization vector at the field point to calculate the horizontal polarization coefficient and the vertical polarization coefficient; 7) calculating the horizontal polarization field, the vertical polarization field, and the total field at the field point. By adopting an analytical calculation model for the radiation field based on polarization vector synthesis, the present invention achieves higher computational efficiency in predicting the near-field radiation of an array antenna compared to the full-wave method.

The embodiment of the application provides a dynamic measurement method for aviation gravity and magnetic vector based on multi-source data synchronous fusion, relates to the technical field of data acquisition, and outputs the specific force measurement value, the carrier pitch angle, the carrier roll angle and the carrier motion parameter after driving the flight platform to collect the sensing array data; adopts the carrier motion parameter and the specific force measurement value to output the gravity disturbance three components; fuses the total field data of the optical pumping magnetometer to perform the magnetic vector calculation and output of the geomagnetic full element of the flux gate three component data; takes the carrier pitch angle, the carrier roll angle, the carrier position, the carrier speed and the carrier heading angle as the carrier pose data, combines the geomagnetic full element and the carrier pose data, and outputs the dynamic measurement result of the gravity and magnetic vector field. The problems that the gravity and magnetic force measurement are separated in the prior art, the equipment is redundant and inefficient, the acquisition time is asynchronous, and the data precision is reduced are solved. The effect of high-precision, high-dynamic and high-efficiency synchronous acquisition of the gravity and magnetic vector data under a single platform is achieved.

The invention discloses an optical lens and a preparation method and application thereof. The optical lens comprises a transparent substrate, a micro-lens array located on the first surface and a super-lens array located on the second surface. The transparent substrate comprises a first surface and a second surface which are oppositely arranged. The microlens array comprises a plurality of microlenses arranged at intervals, each microlens forms a sub-view field, and the plurality of sub-view fields jointly form a total view field. The super lens array comprises super lenses in one-to-one correspondence with the micro lenses, and the super lenses compensate the wavefront difference of the micro lenses through phase distribution. The large field of view is decomposed into a plurality of small sub-fields of view through the micro-lens array, gradient phase distribution is realized through the nano-structure of the super-lens, the residual wavefront difference of the micro-lens is compensated, the aberration generated by the micro-lens is accurately corrected, and after light rays finally reach the imaging sensor array, large FOV seamless imaging can be realized in combination with an image fusion algorithm.

The invention discloses a conformal antenna array layout method for a special-shaped surface of an aircraft, and the method comprises the steps: firstly giving an array element initial parameter of a planar antenna array, converting the special-shaped surface of the aircraft into a two-dimensional curved surface, obtaining a conformal curved surface array factor according to a mapping relation, determining the positions x'n, y'n and z'n of a curved surface antenna array element, the maximum main curvature radius direction and the maximum main curvature radius k1i of the normal vector, and the minimum main curvature radius direction and the minimum main curvature radius k2i of the normal vector; performing curved surface conformal simulation on a single planar antenna according to the positions x'n, y'n and z'n of the array elements of the curved surface antenna, placing an antenna unit by taking a normal vector as a normal vector, performing conformal simulation along the direction of the minimum main curvature radius, and setting the cylindrical surface radius as k2n, and then simulating to obtain a single antenna far-field radiation pattern, synthesizing all antenna far-field radiation patterns according to the positions of the curved surface antenna array elements to obtain a total field pattern function, judging whether the antenna radiation characteristics meet design indexes, and if not, returning to continue to optimize the planar antenna array factors until the design indexes are met.

The invention discloses a self-defined control method and system for a scattering surface of a phased-array antenna based on impedance modulation, and mainly solves the problem that the scattering characteristic of the phased-array antenna cannot be accurately controlled in the prior art. According to the implementation scheme, the method comprises the following steps: collecting a to-be-solved linear array antenna; calculating an array antenna mode item scattering field under any load by using each unit radiation field in the array, and calculating an array total scattering field and an antenna total scattering field RCS value according to the scattering field and the structure mode item scattering field; constructing a fitness function containing deviation between a target value and an actual scattering value, and iteratively optimizing non-uniform terminal impedance of an array antenna mode item scattering field; and the optimized terminal impedance value is utilized to change a load reflection matrix in an antenna mode item scattering field to modulate the antenna mode item scattering field so as to offset the structure mode scattering field, so that the total scattering field RCS reaches a specified target value, and the impedance is utilized to design an antenna array comprising an impedance matching network. The method can achieve the precise control of the scattering characteristics of the phased-array antenna, and can be used for the control of the radar cross section.

The application provides a plate thinning defect shape finding method based on a few-frequency reflected ultrasonic guided wave, and comprises the following steps: S1: mode separation is performed on a total field of a reflected wave to obtain a reflection coefficient of a required guided wave mode; S2: a Green function in a defect-free plate is solved to obtain an approximate solution of a far field; S3: a reconstruction equation of a plate defect is established and preliminary reconstruction is performed; and S4: accurate determination of a plate defect shape is performed. The method is used for rapid quantitative detection of a plate structure thinning defect, and based on reflection data of the ultrasonic guided wave at a few frequency points, the shape of the defect can be found, the defect shape is accurately determined, a better detection effect is realized at a relatively low cost, and thus a convenient and reliable detection technology is provided for engineering detection.

The invention relates to an underground target detection method based on an improved variational Born iteration method. The method comprises the following steps: S1, obtaining an actual scattering magnetic field at a receiving antenna; s2, solving an initial estimation value of the stratum contrast, and taking the initial estimation value as a current estimation value; s3, updating the total field of the stratum based on the current estimated value, and calculating an estimated scattering magnetic field at the receiving antenna; s4, obtaining a magnetic field difference value; s5, judging whether the relative residual error exceeds a threshold value or not, if so, taking the new stratum contrast estimation value as the current estimation value, and returning to S3; otherwise, obtaining a to-be-detected image based on the current estimated value, and executing S6; s6, obtaining an optimized to-be-detected image based on a self-adaptive Otsu method; and S7, inputting the optimized to-be-detected image into the underground target detection model to obtain a detection result. Compared with the prior art, the method has the advantages of target position determination accuracy, inversion target boundary sense and the like.

The application discloses a three-dimensional positioning method and device based on scalar magnetic gradient and related equipment, and the method comprises the following steps: acquiring two-dimensional scalar magnetic gradient data, the two-dimensional scalar magnetic gradient data is collected by two magnetic total field sensors which are vertically arranged in a detection area, and the record points of the two-dimensional scalar magnetic gradient data are uniformly distributed in the detection area; based on the two-dimensional scalar magnetic gradient data, two-dimensional scalar magnetic gradient energy level distribution data in a two-dimensional space formed by each group of unit orthogonal bases is acquired, the unit orthogonal bases are obtained by decomposing two-dimensional scalar magnetic gradient data generated by a magnetic dipole of a target body at an arbitrary height; based on the energy level distribution data, the horizontal positioning result and the vertical positioning result of the target body are determined. In the three-dimensional positioning process of the target body, the vector magnetic moment information of the target body is not involved, and the positioning accuracy in the vertical direction can be improved.

The invention relates to the technical field of industrial endoscopes, in particular to an industrial endoscope lens for micro motor stator detection and a forming process, and the endoscope lens realizes the balance between a large field of view and high imaging quality through a specially designed lens combination. The full view field is 64 degrees, the internal area of the micro motor stator can be completely covered, and it is ensured that a detection image is clear and accurate. The endoscope lens adopts a spherical lens design, and is simple in structure and low in manufacturing cost. Due to the small size (the total length is 60mm and the caliber is smaller than 16mm), the device can go deep into the stator of the micro motor, the detection requirement of a narrow space is met, and an efficient and accurate solution is provided for industrial detection. The F number of the endoscope lens is 3.3, the entrance pupil diameter is 1.2 mm, the working distance is 20 mm, all parameters are optimized, it is ensured that high-quality images can be provided in actual detection, and therefore the problem that an existing industrial endoscope is poor in detection precision and angle is solved.

The application provides a kind of physical prior driven three-dimensional electromagnetic scattering calculation method of deep learning under the condition that three-dimensional scatterer shape and electric parameter are not completely known, can utilize multi-angle observation data, realize the solution to three-dimensional scattering characteristics under the condition that scatterer shape and electromagnetic parameter are not completely known.Method first carries out pre-processing to the data of known part of scatterer, then uses neural network to predict the multi-angle internal total field of complete three-dimensional scatterer, based on the predicted multi-angle internal total field of complete three-dimensional scatterer, uses moment method to calculate the scattering field generated by three-dimensional scatterer under the irradiation of different angle incident wave.The application can use multi-angle scattering field (observation / measurement) data and known physical prior information to predict the scattering characteristics of three-dimensional scatterer whose shape and electric parameter are not completely known.

This invention relates to a microwave imaging method integrating Born iteration and compressed sensing, comprising: establishing a two-dimensional electromagnetic inverse scattering integral equation model, discretizing the imaging region, setting iteration and prior parameters, and initializing the contrast and total field as background values ​​and incident fields, respectively; based on the total field of the previous iteration, constructing linearized scattering equations for multiple incident angles, defining single-view inversion as an independent task, and integrating them into a multi-task set sharing sparse priors; employing the MT-BCS algorithm to jointly solve the observation equations using shared hyperparameters, and outputting the updated contrast distribution; solving the state equation based on the new contrast to complete the total field update; outputting the imaging result if the convergence condition or the maximum number of iterations is met; otherwise, continuing iteration. This invention applies joint sparsity constraints through a multi-task joint inference mechanism, mining the geometric structure consistency of multi-view data, and overcoming the shortcomings of traditional single-task methods such as low signal-to-noise ratio, low reconstruction accuracy when measurement data is limited, and severe artifacts.

The invention discloses a high-precision seismic fluctuation input method and device for SSI analysis of a layered stepped site, and the method comprises the steps: building a two-dimensional stepped layered site model, and introducing a Y-shaped artificial boundary to divide the two-dimensional stepped layered site model into a central finite field, a left half infinite field and a right half infinite field; applying a zigzag-paraxial combined boundary on the Y-shaped artificial boundary to simulate the radiation damping effect of the left half infinite domain and the right half infinite domain; respectively solving the seismic response of the one-dimensional horizontal layering field models of the left half infinite domain and the right half infinite domain, and obtaining the free field response of the left boundary and the right boundary of the Y shape through time delay calculation; respectively decomposing respective total field responses into scattered field responses and free field responses, calculating respective infinite domain equivalent node forces and free field node forces according to the scattered field responses and the free field responses, superposing the infinite domain equivalent node forces and the free field node forces to form two groups of final equivalent node force vectors, and respectively applying the two groups of equivalent node force vectors to the left boundary and the right boundary to obtain a final equivalent node force vector. And high-precision input of far-field vibration in layered stepped field SSI analysis is realized.

This application provides an aeromagnetic compensation method and system for fusing current magnetic interference suppression. The method includes determining a first interference term matrix that fuses aircraft maneuvering interference and geomagnetic gradient interference based on calibration flight data, and calculating a first compensation coefficient corresponding to the first interference term matrix based on a traditional aeromagnetic compensation model; performing aeromagnetic compensation on the aeromagnetic total field data generated during calibration flight based on the first compensation coefficient; extracting the target current interference signal from the compensated aeromagnetic total field data based on a mode decomposition method; fusing the target current interference signal to obtain a TLGI aeromagnetic compensation model based on the traditional aeromagnetic compensation model, and determining a second interference term matrix that fuses current magnetic interference based on the TLGI aeromagnetic compensation model; calculating a second compensation coefficient corresponding to the second interference term matrix, and performing aeromagnetic compensation on the aeromagnetic total field data generated during compensation flight based on the second compensation coefficient and the interference term generated during compensation flight.

The application describes a method (300) and processing device (46) for providing a scene segmentation map for a total field of view (12) of an image capturing device (10). The method (300) comprises obtaining (301) a scene segmentation map for the total field of view (12); receiving (302) an indication that a new focus value has been set for the image capturing device (10) for acquiring images of a current field of view (14); comparing (303) the new focus value with a stored focus value associated with a focus region (22) in the current field of view (14), wherein the stored focus value represents a previously used focus value; upon the new focus value deviating from the stored focus value more than a trigger threshold, triggering (305) a scene segmentation map update process; and otherwise maintaining (309) the scene segmentation map.

The application discloses a magnetic target positioning method based on geomagnetic total field vertical difference, utilizes a rotor unmanned aerial vehicle to carry an inertial navigation system and two vertically distributed optical pumping magnetometers, simultaneously measures geomagnetic total field data containing magnetic anomalies and real-time position data of the unmanned aerial vehicle when flying along a survey line, regards the magnetic target as a static magnetic dipole, takes the centers of the two optical pumps at the initial position as a coordinate origin, uses the magnetic moment of the magnetic target, position coordinates, known geomagnetic inclination and geomagnetic declination and real-time position coordinates of the two optical pumps to respectively represent the magnetic anomaly fields generated by the magnetic target at the positions of the two optical pumps, calculates the geomagnetic total field vertical difference of each point on the survey line by using the measurement values of the two optical pumps, jointly constructs a target function by using the magnetic anomaly difference values generated by the magnetic target at the positions of the two optical pumps, and estimates the position of the magnetic target by using a cuckoo optimization algorithm.

The application discloses an electromagnetic field simulation method based on a sub-grid and a single-step ADI-FDTD, and comprises the following steps: based on a single-step ADI-FDTD, a sub-grid and FDTD, an electromagnetic field simulation model is constructed by setting an absorbing boundary condition, a periodic boundary condition, a total field boundary condition and a scattered field boundary condition, wherein the electromagnetic field simulation model is used to simulate the electromagnetic field by selecting a detection point and a detection surface, obtaining a time-domain waveform diagram of an electric field of a reflection field and a transmission field of a simulation region, and obtaining frequency domain information of the simulation region; compared with a traditional FDTD algorithm, the method provided by the application can save 39.28% of memory in a simulation process, and can save 98.01% of calculation time.

The embodiment of the invention relates to the technical field of video processing, and discloses a financial video understanding extraction method, device and equipment and a storage medium, and the method comprises the steps: obtaining a target frame set related to financial information in a to-be-processed financial video; sampling the target frame set to obtain a key frame set; for each key frame in the key frame set, extracting a field information set in the key frame by using an OCR model to obtain a field information set corresponding to the key frame; and performing aggregation processing on the total field information set by using an inter-frame information aggregation technology to obtain a target text, the total field information set comprising field information sets corresponding to the key frames in the key frame set. Sampling processing is utilized to screen out the key set from the target frame set, so that the number of processed frames is greatly reduced, and the extraction efficiency is improved. The field information sets of the plurality of key frames are integrated by utilizing an inter-frame information technology, and the field information with the highest accuracy is selected from the plurality of key frames, so that the accuracy of the target text is improved.

The invention discloses a large-loop source transient electromagnetic fast forward modeling method based on GPU acceleration, and the method comprises the steps: firstly carrying out the parameter setting and preprocessing, then segmenting a large-loop source into a north edge, a south edge, an east edge and a west edge, and carrying out the discretization of each edge into N electric dipoles through employing a Gaussian-Legendre quadrature method; constructing a loop edge-frequency sampling point-wave number-time channel four-level parallel computing architecture to compute each edge; wherein each side in the GPU adopts a frequency-wave number-time parallel computing architecture, and parallel computing is performed on each electric dipole, so that the frequency-time domain response of each electric dipole is obtained; and finally, after calculation of all the electric dipoles is completed, vectorization calculation and summation are carried out on transient responses of all the electric dipoles on the GPU, a large loop source total field response at the current observation point is obtained, and a final time domain electromagnetic field value is output. According to the method, the advantages of large-scale parallel computing of the GPU can be efficiently and fully played, so that the computing efficiency is effectively improved on the premise of ensuring the computing precision.

This invention provides a real-time magnetic anomaly target identification method and system based on a physically constrained neural network (PCNN). The method includes: acquiring spatial geomagnetic total field data; preprocessing the total field data to generate input samples and labeling them with category tags; designing a lightweight convolutional neural network (HNN) as the backbone network, introducing physical constraint terms, and constructing a PCNN model. The physical constraint terms specifically include: the magnetic field in the passive region should satisfy the Laplace equation and the magnetic anomaly signal should conform to the dipole field decay law; training and optimizing the PCNN model based on the labeled input sample data and simulated target data; receiving the magnetic signal stream in real time, inputting it into the trained PCNN model according to time windows, and completing the target identification and output. This invention addresses the technical problems of low identification accuracy, poor interpretability, and weak generalization ability in existing magnetic anomaly target identification methods under conditions of small samples and low signal-to-noise ratio.

The invention discloses a geomagnetic interference compensation method based on an AMS-CPO optimization algorithm. The method comprises the following steps: S1, installing an optical pump sensor and a three-axis fluxgate on an unmanned trolley, and collecting data; s2, establishing a target fitness function according to the T-L model; s3, estimating an optimal compensation coefficient by using an AMS-CPO algorithm according to the target fitness function; and S4, compensating the geomagnetic total field by using the estimated optimal compensation coefficient to obtain compensated residual magnetic interference. According to the geomagnetic interference compensation method based on the AMS-CPO optimization algorithm, interference compensation can be carried out on the total geomagnetic field by estimating the optimal compensation coefficient, and the compensation precision is improved. Compared with a traditional CPO algorithm and a particle swarm optimization algorithm (PSO algorithm), the algorithm of the invention can greatly improve the geomagnetic field measurement precision, and the convergence speed is high.

The application provides an aircraft aeromagnetic compensation method, system, device and medium, and relates to the technical field of aircrafts, and the magnetic field characteristic data and temperature characteristic data of the aircraft aeromagnetic of a current area are acquired; the total field value of the interference magnetic field corresponding to the current area is determined based on the magnetic field characteristic data; the total field value of the magnetic interference field corresponding to the current area is determined based on the total field value of the interference magnetic field and the total field value of the non-interference magnetic field; the magnetic interference characteristic matrix corresponding to the current area is determined based on the magnetic field characteristic data and the temperature characteristic data; and the compensation coefficient corresponding to the current area is determined based on the magnetic interference characteristic matrix corresponding to the current area and the total field value of the magnetic interference field, so that the comprehensive error compensation of the aeromagnetic is realized.

This invention relates to the field of geophysical exploration technology and discloses a three-dimensional polarizability inversion method based on cross-gradient constraints. The method includes the following steps: acquiring apparent resistivity observation data d_obsr and equivalent apparent resistivity observation data d_obsη; performing hybrid mesh partitioning on the computational domain to generate a hybrid mesh model containing triangular prism elements, tetrahedral elements, and pyramidal elements; and performing three-dimensional resistivity forward modeling based on the hybrid mesh model to obtain the total field potential. This three-dimensional polarizability inversion method based on cross-gradient constraints, by employing a hybrid mesh (combination of triangular prism, tetrahedral, and pyramidal elements) partitioning technique, can accurately fit undulating surfaces, fundamentally eliminating the terrain influence error caused by mesh simplification. Measured data show that the forward modeling response error at steep terrain measurement points can be reduced from 5.1% to 1.5% using traditional methods, effectively suppressing false anomalies and making the anomaly boundary more clearly delineated.

The application discloses a kind of based on conformal technology's core particle through silicon via interconnection structure signal integrity simulation excitation method, using time domain finite difference method analysis core particle interconnection structure application scene, to through silicon via structure model using conformal technology is analyzed;Overall calculation region is divided into excitation region and structure calculation region two sub-regions;Using total field / scattering field boundary technology, the result of excitation region is introduced as incident wave into structure calculation region, as excitation source to through silicon via structure is excited;The surface power integration at port in total field and scattering field is calculated, and by Fourier transform is converted into frequency domain calculation each port S parameter.The present application reduces the step approximation error of time domain finite difference method using conformal technology, by dividing the calculation region into two sub-regions solve the high-order mode crosstalk problem existing in typical coaxial structure such as through silicon via, and greatly improve the calculation precision of through silicon via structure signal integrity.