73 results about "Magnetic gradient" patented technology

The invention discloses a magnetic target boundary recognition method and system based on a magnetic gradient tensor, and relates to the technical field of geophysical exploration and industrial nondestructive testing, and the method comprises the following steps: collecting spatial magnetic gradient tensor data through a magnetic gradient sensor array, and obtaining nine components of the magnetic gradient tensor; calculating the vertical guide modulus of the vertical component of the magnetic gradient tensor; calculating a Z-direction analysis signal ASAz and a vertical guide thereof; a boundary recognition amount is generated by a ratio operation, and a boundary position of the magnetic target is determined based on a maximum value position of the boundary recognition amount. According to the method, a vertical component derivative and analytic signal derivative dual-derivative coupling mechanism is combined for the first time, the limitation that a traditional method depends on a single parameter is overcome, the vertical component derivative accurately captures the change rate of the boundary in the vertical direction, and the analytic signal derivative effectively suppresses background noise.

The invention discloses a slope monitoring method and system based on an unmanned aerial vehicle, and relates to the technical field of intelligent geological disaster monitoring, and the method comprises the steps: carrying a magnetic gradient measurement unit and a laser radar through the unmanned aerial vehicle, and collecting magnetic gradient tensor collection and slope surface point cloud from multiple heights and multiple routes; on the basis of a gradient adaptive weighted total variation inversion method, slope gradient information extracted by a digital elevation model is introduced into regularization weight adjustment, so that an inversion result can be adaptively adjusted in different gradient areas; based on a magnetic susceptibility distribution model, a magnetic construction adaptive clustering and risk index calculation method is used, and through amplitude density index and gradient constraint search, clustering identification and risk quantitative partitioning of a high-gradient accumulation area are carried out. Therefore, expansion from surface slope deformation monitoring to deep concealed structure detection is realized, and concealed slip zones or fissure zones can be accurately revealed under complex terrain conditions.

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 invention belongs to the technical field of degaussing, and relates to a ship winding degaussing current solving method based on a gradient tensor, which comprises the following steps: acquiring the magnetic gradient tensor of a plane ship when coils are not electrified; respectively performing simulation electrification on the winding coils to obtain the magnetic gradient tensor of the electrified measurement plane; and calculating an efficiency matrix of the magnetic gradient tensor excited by the unit current. The gradient of the geomagnetic field is extremely small, direct detection of the magnetic gradient tensor of the ship and the electrified coil can better reflect the magnetic characteristics of the ship and the coil compared with detection of a magnetic vector, and better resolution is achieved for magnetic field changes caused by magnetic anomalies; under the motion platform, the magnetic gradient tensor is insensitive to the attitude angle error, and more accurate detection data can be obtained; in addition, the gradient tensor is weak in response to time-varying geomagnetic disturbance, and has higher anti-interference capability. Therefore, according to the method, the accuracy of ship magnetic field modeling and degaussing current calculation is improved, and the magnetic stealth performance of a ship facing high-sensitivity magnetic gradient detection equipment is enhanced.

The utility model relates to an unmanned aerial vehicle for underground electromagnetic anomaly detection, and belongs to the technical field of unmanned aerial vehicle detection. Comprising an unmanned aerial vehicle body; the magnetic gradient detection device is carried on the unmanned aerial vehicle body; the magnetic gradient detection device comprises a telescopic supporting arm, a posture switching mechanism and at least two magnetic sensing units. The at least two magnetic sensing units are arranged at intervals in the axial direction of the telescopic supporting arm; the posture switching mechanism is connected with the unmanned aerial vehicle body and the telescopic supporting arm and used for driving the telescopic supporting arm to be switched between the horizontal storage position and the vertical working position. The vertical distance between the at least two magnetic sensing units is obviously increased in the vertical direction, and the requirement of geomagnetic vertical gradient measurement for the length of a sensor base line is met.

The invention discloses an electromagnetic anomaly detection method based on tensor shrinkage and orthogonal basis function decomposition, and belongs to the technical field of magnetic detection and correction, and the method comprises the steps: enabling a metal target to be equivalent to a magnetic dipole, and building an AC radiation field model; then, deducing a magnetic gradient tensor of a metal target scattered field; next, taking the square of the reduced tensor of the scattering field as a detection quantity, and calculating a primary function of mutual orthogonality of the detection quantity; and finally, establishing an energy function to complete electromagnetic anomaly detection of the metal target. According to the invention, the non-ferromagnetic metal target in the space can be effectively detected based on the electromagnetic emission source, the signal-to-noise ratio of electromagnetic anomaly detection is improved, and the method is of great significance to detection of metal anomalous objects in anti-submarine, anti-mine, anti-landmine and other scenes.

This invention discloses a method and kit for detecting microbial SERS based on superhydrophobic evaporation concentration and magnetically guided enrichment, belonging to the field of in vitro diagnostics and analytical chemistry. The method includes: mixing and incubating the sample to be tested with a magnetic SERS probe modified with targeted recognition molecules to form a complex; adding the mixed droplet to a superhydrophobic surface for evaporation concentration; applying a magnetic field below the detection site during droplet evaporation, using the magnetic gradient force to directionally enrich and pin the complex to the detection site, resulting in a dense solid enrichment spot in situ after drying, creating nanoscale gaps between the metal layers of adjacent probes and exciting SERS hotspots; irradiating the spot with a laser and acquiring the SERS signal to achieve microbial detection. This invention also provides a kit for implementing this method, including a magnetic SERS probe, a superhydrophobic detection card, and a positioning base with an embedded magnet. This invention eliminates the dependence on traditional solid-phase SERS substrates, overcomes the defect of easy droplet rolling on superhydrophobic surfaces through magnetic pinning, achieves self-alignment and high-sensitivity detection, and has advantages such as strong anti-interference, low cost, and ease of automation.

The application discloses a non-magnetic Dewar for aviation and relates to the technical field of aviation full-tensor magnetic gradient measurement. The non-magnetic Dewar comprises a straight-cylinder-shaped shell and an inner container arranged in the shell; a vacuum interlayer is formed between the shell and the inner container; a vacuum-pumping valve is arranged on the top of the shell and communicates with the vacuum interlayer; a glue-rich layer is arranged on the inner wall of the vacuum interlayer; the shell and the inner container are made of epoxy glass steel material; and the glue-rich layer is made of a mixed material of resin and low permeability. The non-magnetic Dewar is made of epoxy glass steel non-magnetic material, has the advantages of non-magnetic interference, high heat preservation, automatic liquid level maintenance and the like, can significantly reduce the volatilization rate of liquid nitrogen, and can fully meet the demand of uninterrupted area flight measurement operation of a high-temperature superconducting full-tensor magnetic gradient sensor system carried by a helicopter in the field on the premise that liquid nitrogen is supplemented once a day.

This invention relates to a method for correcting system errors in a full-tensor magnetic gradient system based on position information, comprising the following steps: acquiring full-tensor magnetic gradient measurement data obtained by a full-tensor magnetic gradient measuring device from the detection of a target magnetic source at different relative positions, and magnetic source reference position data obtained by a position sensor; establishing a magnetic source position model including installation error parameters based on a full-tensor invariant magnetic target localization algorithm; inputting the full-tensor magnetic gradient measurement data into the magnetic source position model, and solving for the installation error parameter value that minimizes the error between the magnetic source position model and the corresponding magnetic source reference position data; and using the installation error parameter value to correct the system error of the full-tensor magnetic gradient measuring device. This method enables high-precision correction of the full-tensor magnetic gradient system, with low hardware cost and a simple and easy-to-implement calibration process.

This application discloses an autonomously controlled low-temperature superconducting magnetic gradient readout system and parameter setting method, belonging to the field of geophysical exploration. Before magnetic gradient measurement, the method autonomously sets the SQUID to the optimal operating point based on an adaptive successive optimization algorithm. During measurement, a differential mutation detection algorithm is used to determine in real time whether the system has lost lock and autonomously resets it. If continuous loss of lock occurs, the method autonomously selects the parameter combination of the integrating capacitor and feedback resistor to reduce system sensitivity and relock the measurement. This application solves the problems of tediousness, time consumption, and insufficient accuracy in manually adjusting the optimal operating point of multi-channel readout systems. Simultaneously, by autonomously reducing system sensitivity, it solves the problem of continuous system loss of lock caused by bumps or large magnetic field change rates during dynamic measurements on mobile platforms such as vehicle-mounted, marine, and aerial vehicles. This enables autonomously controlled magnetic gradient measurement under unattended conditions, improving work efficiency and the reliability of magnetic gradient measurement.

The invention discloses a UUV inertial navigation-electromagnetic fusion positioning method and system based on a magnetic gradient tensor, and relates to the field of underwater navigation positioning, and the method comprises the steps: obtaining an electromagnetic beacon magnetic field signal, a UUV angular velocity signal and a linear acceleration signal, and carrying out the preprocessing; calculating an independent component of the magnetic gradient tensor by adopting a spatial difference method; calculating the motion state of the inertial navigation system to obtain the position, the speed, the attitude and the IMU error of the UUV; based on the magnetic dipole equivalent model, establishing a tight coupling fusion model of the magnetic gradient tensor and the motion state of the inertial navigation system; and performing state estimation on the tight coupling fusion model by using an unscented Kalman filtering algorithm, correcting the state of the inertial navigation system by using an independent component of a magnetic gradient tensor as an observed value, and outputting a fusion positioning result of the UUV. And the inertial navigation-electromagnetic fusion positioning performance is comprehensively improved.

The application discloses a kind of damping strip defect monitoring system and method of tubular turbine generator, it is related to damping strip early defect monitoring field, solve the problem that existing damping strip monitoring is strong, early defect identification is difficult, positioning accuracy is low, anti-interference ability is poor.System includes magnetic gradient sensor array, optical angle synchronization device, signal acquisition conditioning module and industrial computer diagnosis module;Magnetic gradient sensor array adopts differential coil pair and limited ring redundant structure, is installed in stator ventilation ditch in non-invasive manner, and collects local magnetic field gradient signal;Optical angle synchronization device generates rotor absolute angle mark and synchronous sampling clock;Industrial computer realizes defect monitoring, positioning and trend prediction by multidimensional verification.The application does not need to change rotor structure, can identify early small defect, realize accurate positioning and predictive maintenance in all operating conditions, and guarantee the safe operation of unit.

This invention belongs to the field of underwater positioning and navigation technology, and relates to an underwater auxiliary navigation method for measuring the velocity of a carrier using a multi-order magnetic gradient tensor. The method includes: velocity observation generation based on the multi-order magnetic gradient tensor: raw data acquisition of the multi-order magnetic gradient tensor, tensor time differential processing, and tensor velocity observation calculation; adaptive fusion navigation of multi-source information: system state quantity definition, dual observation channel design, state prediction and measurement update; robustness enhancement and failure handling: online evaluation of observation quality, adaptive weight adjustment and smooth switching. This invention achieves highly robust multi-source information fusion based on the dual observation channel design using extended Kalman filtering, combined with adaptive noise covariance adjustment. This invention constructs a complete failure handling mechanism to ensure continuous and stable operation of the navigation system in complex underwater environments. This method significantly improves the autonomy and mission reliability of long-endurance underwater navigation and achieves true functional redundancy within the system.

The invention relates to an anti-falling monitoring method and system based on a phase control magnetic sensing technology, and the method comprises the steps: wearing a device provided with a magnetic field generator on a target body, and arranging a plurality of groups of magnetic sensors on a sickbed, thereby forming a magnetic induction array; establishing a magnetic background compensation matrix when the magnetic induction array is started; acquiring magnetic field intensity data through a magnetic sensor, converting the magnetic field intensity data into a sickbed coordinate system, and performing compensation through a magnetic background compensation matrix; an improved magnetic dipole model is adopted to calculate the magnetic field intensity of each position based on the magnetic moment vector of the magnetic field generator, and the magnetic field intensity is combined with compensated magnetic field intensity data to construct a target equation, and optimization solution of the position of the magnetic field generator is carried out; according to the positioning result of the target and the magnetic gradient data calculated based on the magnetic field intensity data, triggering of different falling risk levels is carried out through a risk level classification model, and corresponding response measures are activated. Compared with the prior art, the tumble monitoring accuracy and response efficiency are improved.

[Problem] The present invention addresses the problem of providing a system for converting energy by using magnetic gradation. [Solution] The present invention, which solves the problem, is an energy conversion system characterized by comprising an energy conversion set, a magnetic gradation system, and an MMO coordination system.

The invention discloses an electromagnetic shielding composite film with controllable electric-magnetic gradient, a preparation method and application thereof. The electromagnetic shielding composite film with a controllable electric-magnetic double-gradient structure is prepared through a height-controllable vacuum-assisted suction filtration method, the upper layer of the electric-magnetic double-gradient network structure is composed of a magnetic double-metal hydroxide nanosheet (at) MXene compound, the part provides electric-magnetic synergistic loss, an impedance matching layer is formed, and the electromagnetic shielding composite film is used for conducting electromagnetic shielding on the magnetic double-metal hydroxide nanosheet (at) MXene compound. And the lower layer is formed by pure MXene with high conductivity and is used as an efficient shielding layer. An electric-magnetic dual-gradient network formed by the impedance matching layer and the conductive shielding layer and a large number of electromagnetic heterogeneous interfaces can construct an electric-magnetoelectric-magnetic loss synergistic loss effect and induce polarization loss. The impedance matching layer and the efficient shielding layer in the electric-magnetic double-gradient structure effectively construct an absorption-reflection-reabsorption electromagnetic wave loss mechanism. The obtained composite film shows ultrahigh electromagnetic interference shielding effectiveness (EMI SE) and low electromagnetic wave reflectivity at the same time.

The invention provides a multi-magnetic-source initial positioning method, device and system based on NSS-VMGT fusion, and solves the problems of misjudgment of the number of magnetic sources, missing detection of edge magnets and low actuarial efficiency in the prior art. The method comprises the following steps of: acquiring 7 * 7 three-component sensor array data by an information processing module, and preprocessing by moving average filtering; deriving a magnetic field space change rate through an MGT module, and solving a related angle and an X / Y direction gradient in combination with a VMGT module; the NSS module detects a magnetic gradient tensor feature value and eliminates a coupling pseudo peak, the candidate point recognition module extracts internal candidate points and delimits an initial search area, and the candidate point fusion module detects edge candidate points and performs merging and duplicate removal. The device is based on an STM32H743 hardware platform and comprises a 7 * 7 array positioning plate, a double-MCU regional acquisition framework, a serial port data interaction link and a hardware signal filtering and voltage stabilizing circuit. According to the design, the recognition accuracy of the number of the magnetic sources is improved to 94%, and the scene requirements of multi-magnetic capsule targeted therapy and the like are met.

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 application discloses a UAV intelligent line patrol system and method based on magnetic field distribution characteristics, wherein a UAV is provided with a magnetic field measuring device; the magnetic field measuring device comprises at least two subarrays; the multiple subarrays are arranged in layers or in the same layer; the magnetic gradient tensor of the center of each subarray is calculated, then the magnetic gradient tensors of the multiple subarrays are accumulated to obtain a tensor matrix, and the direction of a power transmission line is determined based on the tensor matrix M; the characteristic vector is obtained by performing characteristic decomposition on the magnetic gradient tensor of a single subarray, and then the unit radial direction vector of the power transmission line pointing to each subarray is calculated; the center point of the magnetic field measuring device and a constructed orthogonal plane A are taken as a pair, and the position of the power transmission line is inverted based on the orthogonal plane A. The application utilizes mutual checking of the multiple subarrays to calculate the spatial position relationship between the power transmission line and the UAV, and then guides the UAV to fly along the power transmission line in real time.

The invention discloses an autonomous control type low-temperature superconducting magnetic gradient read-out system and a parameter setting method, and belongs to the field of geophysical exploration. According to the method, before magnetic gradient measurement, based on an adaptive successive optimization algorithm, an SQUID is autonomously set to be at an optimal working point; in the measuring process, whether the system loses lock or not is judged in real time based on a differential mutation detection algorithm, automatic resetting is conducted, if continuous lock losing occurs, parameter combination of an integrating capacitor and a feedback resistor is automatically selected, the sensitivity of the system is reduced, and relocking measurement is achieved. The problems that manual adjustment of the optimal working point of a multi-channel reading system is tedious, time-consuming and insufficient in precision are solved, meanwhile, the system sensitivity is autonomously reduced, the problem of continuous lock losing of the system caused by bumping or large magnetic field change rate during dynamic measurement of vehicle-mounted, ocean, aviation and other mobile platforms is solved, and the dynamic measurement accuracy of the multi-channel reading system is improved. The magnetic gradient measurement of autonomous regulation and control under the unattended condition is realized, and the working efficiency and the reliability of the magnetic gradient measurement are improved.

The application discloses a kind of magnetic target positioning methods based on multi-point measurement, belong to the target positioning technical field based on magnetic field. Including: S100, by motor-driven platform carries magnetic sensor array to certain movement mode, the measurement of magnetic gradient tensor is realized in multiple measurement points;S200, establish the positioning equation set that is decoupled with motor-driven platform attitude, calculate the positioning result of magnetic target under earth coordinate system.The application establishes the positioning equation set that is irrelevant with motor-driven platform attitude by multi-point measurement, realizes decoupling with attitude, eliminates the influence of motor-driven platform attitude on positioning accuracy, and then improves the positioning accuracy of tensor magnetic positioning technology.

The utility model relates to mobile satellite communication device technical field, and disclose a mobile satellite communication device with magnetic attraction function base, including communication device main part, communication device main part rear rotation connection in cylinder structure one end, the other end of cylinder structure magnetism matching connection in base support top, the cylinder structure includes stand, the stand bottom side edge is equipped with sectoral hole, the stand bottom is equipped with magnetic gradient recess, the magnetic gradient recess center is fixedly connected with positioning protruding, the inside of stand bottom inboard is hollow chamber and is installed with locking mechanism, the base support includes base, the base top is fixedly connected with the magnetic gradient protruding that can with magnetic gradient recess matching butt joint, the magnetic gradient protruding center is equipped with the positioning recess that can with positioning protruding matching butt joint, the base side wall equidistance is hinged with a plurality of support legs, and it is convenient to install and dismantle and use.

The application discloses a kind of single-point magnetic gradient positioning method and device for motion platform, install "H" shape magnetic sensor array in motion platform, utilize magnetic field gradient information in magnetic field X direction, calculate the position information and magnetic moment information of target;Using the position and magnetic moment information calculated, the magnetic anomaly Y direction gradient information that the point produces in the measurement point of the magnetic target is calculated by magnetic dipole target forward process;Using the measured Y direction gradient of the measurement point and model forward theory Y direction gradient, calculate the symmetric average absolute percentage error;Finally, whether the symmetric average absolute percentage error of the measurement point is minimum value is judged, to judge whether it is CPA point.The application is realized by the magnetic field gradient information at CPA point, the acquisition of target position and magnetic moment information, solve the problem that larger positioning error is caused by inconsistent measurement state in the magnetic positioning method based on multiple measurement points, improve the positioning performance of target.

This invention discloses a method and apparatus for magnetic detection of unexploded ordnance, comprising: acquiring three components of a magnetic field near the unexploded ordnance using an array sensor; sending the three components of the magnetic field to an information processing terminal; processing the three components of the magnetic field to obtain a magnetic gradient tensor; and determining the location of the unexploded ordnance based on the magnetic gradient tensor. This invention can achieve accurate detection of the location of unexploded ordnance.

The invention discloses a method for quickly estimating the upper and lower bounds of the maximum magnetic force of a micro-nano robot in a double-synchronous rotating magnetic field. The method comprises the following steps: acquiring position vectors, common magnetic moment vectors, common rotating shaft unit vectors and to-be-estimated position points of two permanent magnets; calculating and superposing a total magnetic field generated by each permanent magnet at the to-be-estimated position point and a magnetic field rotating shaft; the magnetic gradient force borne by the micro-nano robot is expressed as a calculation formula related to the magnetic moment direction of the permanent magnet and the magnetic moment direction of the micro-nano robot; constructing a symmetric matrix related to a common rotating shaft of the permanent magnets and a magnetic field rotating shaft at the position point to be estimated, and taking a characteristic value of the symmetric matrix as a candidate upper bound of the normalized maximum magnetic force; constructing an auxiliary matrix based on the eigenvectors, and taking eigenvalues of the auxiliary matrix as a candidate lower bound of the normalized maximum magnetic force; and obtaining an estimation interval of the normalized magnetic gradient force maximum square according to the candidate upper and lower bounds, and outputting a modulus length estimation range. According to the method, rapid estimation of the maximum magnetic force is realized on the premise of ensuring the calculation efficiency.

This invention relates to the field of geomagnetic vector measurement technology and proposes an in-situ rapid calibration method for a cubic magnetic gradient tensor measurement array. This invention utilizes a triaxial Helmholtz coil system to generate a constant magnetic field with random orientation and actively compensates for environmental magnetic drift. A hierarchical calibration algorithm is used to sequentially estimate sensor-level inherent errors and array-level alignment errors, and an evaluation framework based on tensor invariants is established to quantitatively analyze the calibration effect. Specifically, this includes: constructing a constant modulus random magnetic field, solving the hierarchical calibration algorithm, and evaluation and verification based on tensor invariants. This invention eliminates the need for mechanical array rotation, achieving in-situ rapid calibration in a static array state. It significantly suppresses pseudo-gradients introduced by channel inconsistencies, improving the stability of magnetic gradient tensor measurement by 3 to 5 orders of magnitude. It is applicable to magnetic anomaly detection and target localization scenarios in fields such as geological exploration, underwater tracking, and space magnetic surveying.

The application relates to the field of geomagnetic vector measurement, and discloses a magnetic target intelligent positioning method and system based on a layered neural network architecture. The method comprises the following steps: acquiring multi-point magnetic field data measured by a magnetic sensor array; calculating magnetic gradient tensor data according to the magnetic field data and the spatial position of the sensor; inputting the magnetic gradient tensor data into a pre-constructed layered neural network model; extracting local space-time features from the magnetic gradient tensor time series data of each measurement point through a sub-network layer; performing time series fusion and global context modeling on the feature sequences output by all sub-network branches through a global fusion network layer; and outputting the three-dimensional spatial position coordinates of the magnetic target according to the fused global features through an output layer. The implementation of the application is a deep integration of physical analysis methods and data-driven methods, can guide the mapping relationship between the magnetic gradient tensor and the position of the magnetic target of the deep learning model, and retains the strong nonlinear fitting capability, thereby enhancing the positioning accuracy of the magnetic target.

This invention discloses a method for obstacle-behind detection based on magnetic sensors. It detects magnetic field information near targets behind obstacles such as walls using magnetic sensors, and then calculates the target's position and characteristic magnetic moment based on the obtained magnetic field information. A single magnetic sensor is used to measure the three-dimensional vector intensity of the magnetic field near targets behind obstacles such as walls; a magnetic sensor array is used to measure the magnetic gradient tensor near targets behind obstacles such as walls, thus locating the target. This invention can effectively detect targets behind metallic media. Furthermore, this invention can also effectively solve the problems of blind spots and target occlusion in traditional single-node obstacle-behind detection through network detection.

This invention relates to the field of mineral exploration technology, and more particularly to a multidimensional spatial analysis system for vanadium-titanium magnetite based on third-order tensor decomposition. The system includes: a data acquisition module for acquiring vanadium-titanium magnetite core samples and third-order magnetic gradient tensor data; a mineralogical analysis module for determining the spatial distribution complexity and liberation degree of vanadium-titanium magnetite; a tensor decomposition module for calculating the internal structural complexity of vanadium-titanium magnetite at various sounding depths; a mapping relationship construction module for constructing a first mapping relationship between spatial distribution complexity and the liberation degree of vanadium-titanium magnetite, and a second mapping relationship between structural complexity and spatial distribution complexity; and a mineability assessment module for assessing the mineability of vanadium-titanium magnetite at different sounding depths. This invention combines in-well third-order magnetic gradient tensor detection technology with core mineralogical analysis technology, effectively improving the reliability of vanadium-titanium magnetite mineability assessment.