21 results about "Magnetic field imaging" patented technology

The invention belongs to the technical field of magnetic field imaging and neural network image processing, and particularly relates to a high-resolution magnetic field imaging method and system based on a sparse data reconstruction network, and the method comprises the steps: inputting a to-be-reconstructed sparse magnetic field distribution image into a pre-constructed sparse data reconstruction network, and outputting a high-resolution complete magnetic field distribution image; the network comprises a generator and a discriminator and is optimized by performing adversarial training only by using sparse samples and masks thereof, and the training process does not need to depend on paired high-resolution and low-resolution complete images. The generator realizes image reconstruction through multi-scale information completion, depth feature extraction and up-sampling, ensures the fidelity of a sampling point by adopting pixel loss constrained by a mask, and improves the physical authenticity of an unknown region in combination with adversarial loss. The system integrates a data preprocessing module, a network reconstruction module, a loss optimization module and a result output module, can quickly generate a high-quality magnetic field image from low-efficiency sparse sampling data, and effectively solves the contradiction between the resolution and the acquisition efficiency in magnetic field imaging.

The invention discloses a sparse magnetic field data reconstruction method, system and device and a storage medium, and relates to the technical field of magnetic field imaging and neural network image processing, and the method comprises the steps: obtaining initial sampling sparse magnetic field data of a target detection region through a data collection part; inputting the initial sampling sparse magnetic field data into a sampling strategy part, generating a sampling probability distribution diagram, and obtaining active sampling sparse magnetic field data according to the sampling probability distribution diagram; inputting the active sampling sparse magnetic field data and the initial sampling sparse magnetic field data into a space superposition part to obtain final sampling sparse magnetic field data; and inputting the final sampling sparse magnetic field data into a sparse data reconstruction module, and outputting high-resolution reconstruction magnetic field data. The method provided by the invention achieves better effects in the aspects of improving the sampling efficiency, optimizing the reconstruction quality, reducing redundant data and enhancing the reconstruction stability.

The application discloses a kind of sparse magnetic field data reconstruction method, system, equipment and storage medium, is related to magnetic field imaging and neural network image processing technical field, including by data acquisition department obtaining the initial sampling sparse magnetic field data of target detection area;Initial sampling sparse magnetic field data is input into sampling strategy department, generates sampling probability distribution graph, according to sampling probability distribution graph, obtains active sampling sparse magnetic field data;Active sampling sparse magnetic field data and initial sampling sparse magnetic field data are input into spatial superposition department, obtain final sampling sparse magnetic field data;Final sampling sparse magnetic field data is input into sparse data reconstruction module, and high-resolution reconstructed magnetic field data is output.The method described in the application is more good in improving sampling efficiency, optimizing reconstruction quality, reducing redundant data, enhancing reconstruction stability.

The invention relates to the field of distance measurement, and particularly discloses a detection reagent card shell adaptability detection system, which is used for detecting a detection reagent card shell filled with magnetic powder, and comprises a matrix type magnetic field detection module, a processing module and a magnetic field imaging module, the matrix type magnetic field detection module comprises a substrate and magnetic field sensors, the magnetic field sensors are fixed on the substrate in an array mode, and the magnetic field sensors are used for collecting magnetic field intensity signals at different positions in the plane of the outer side of the to-be-detected reagent card shell and converting the magnetic field intensity signals into electric signals to be output; the processing module is used for getting close to the to-be-detected reagent card shell after the matrix type magnetic field detection device is started. By the adoption of the technical scheme, key information such as the actual fitting degree, pressing force distribution and local gaps of the internal test strip and the card shell can be obtained, and the specific position of the assembly problem can be accurately positioned.

The application discloses a two-dimensional magnetic field imaging method based on diamond NV color centers, comprising the following steps: generating a rough scanning path according to a region to be measured, controlling a displacement scanning unit to drive a diamond NV color center detection unit to move point by point, locking and triggering collection after reaching a position; obtaining the light detection magnetic resonance spectrum of each measuring point through light excitation and microwave sweep, and calculating the magnetic field information; identifying an abnormal region according to the rough scanning result and generating a fine scanning path, and performing fine scanning on the abnormal region; periodically returning to a reference point to collect a reference spectrum line during the scanning process, and compensating for the drift of the current batch of measuring points, and finally matching the compensated magnetic field information with coordinate information to generate a two-dimensional magnetic field distribution map. The application can improve the positioning accuracy, measurement stability and imaging reliability of two-dimensional magnetic field imaging.

The invention provides a wide-field magnetic field imaging method based on sparse sampling and Bayesian estimation, and belongs to the field of magnetic field imaging. The method comprises the following steps: constructing an NV color center system, measuring and recording information of a magnetic field to be measured; selecting a small number of discrete sampling points to measure magnetic field intensity data in an imaging field of view of a measured area; the method comprises the following steps of: constructing an error correlation function among pixel points in a measured area, establishing a Bayesian estimation model, and predicting the magnetic field intensity of unmeasured pixel points in a full field of view by taking magnetic field intensity data of a small number of discrete sampling points as observed quantity to obtain a preliminarily reconstructed magnetic field distribution image; selecting a plurality of reference points in the measured area, acquiring nominal magnetic field values and actually measured magnetic field values of the reference points, and calibrating the preliminarily reconstructed magnetic field distribution image by adopting a mean value proportion correction mode; on the premise that the number of sampling points is greatly reduced, magnetic field distribution reconstruction with high spatial resolution and high structural similarity is achieved, and therefore imaging efficiency and reliability are improved.

The application relates to the technical field of magnetic field imaging, in particular to a fast magnetic field imaging method based on diamond NV color center coherent regulation. In order to solve the problem that the existing diamond NV color center-based magnetic field imaging method is complex to operate, a new fast magnetic field imaging method based on diamond NV color center coherent regulation is provided, and the method comprises the following steps: 1) setting the frequency of pulsed microwaves; 2) setting a synchronous control sequence, collecting fluorescence intensities of diamond NV color centers at different positions in a two-dimensional space; 3) drawing Rabi curves about time-fluorescence intensity corresponding to the different positions of the diamond NV color centers in the two-dimensional space; 4) obtaining actual angular frequencies corresponding to each Rabi curve; 5) calculating the magnetic field strength variation of the diamond NV color centers at different positions in the two-dimensional space; and 6) realizing magnetic field imaging. The method realizes the target of fast magnetic field imaging.

The invention relates to the technical field of grounding systems, in particular to an earth surface magnetic field vector imaging method and system for a grounding system conduction test, and the system comprises a measurement area building unit which is used for building an earth surface magnetic field measurement system for the conduction test, completing earth surface magnetic field measurement wiring for the conduction test, and forming an earth surface magnetic field measurement area; the resultant magnetic field imaging unit is used for measuring earth surface vector magnetic field data based on the earth surface magnetic field measurement area and completing three-dimensional resultant magnetic field imaging; and the additional synthetic magnetic field unit is used for taking out a characteristic measuring line according to the three-dimensional synthetic magnetic field imaging result of the earth surface synthetic magnetic field and completing data sampling of additional synthetic magnetic fields at different heights according to local peak value positions of the characteristic measuring line. By judging the specific burial depth of the grounding grid and the through-flow current on each branch conductor, the frame position and the specific burial depth of the grounding grid can be clearly determined, the excavation detection of the grounding grid can be better assisted, and the detection and excavation efficiency of the grounding grid is improved.

This invention relates to the field of quantum imaging technology and proposes a digital phase-locked microwave magnetic field imaging system and method based on diamond NV centers. This invention images microwave fields based on the principle of power-broadened magnetic resonance. The system consists of multiple subsystems: an excitation optical path, an imaging optical path, an acquisition system, and a bias magnetic field. The excitation light is used to excite the diamond NV centers; the imaging optical path captures the fluorescence changes during microwave exposure; the acquisition system controls the testing system and analyzes data through a programmed host computer; and the bias magnetic field splits the resonance peaks to increase the bandwidth of the measured microwave field. Furthermore, imaging at different resolutions can be achieved by changing the objective lens. This invention enables non-destructive, non-invasive measurement of microstrip lines at room temperature using the NV center ensemble, thereby analyzing their operating status. In practical applications, this method offers advantages such as high sensitivity and rapid imaging.

The invention discloses a magnetic field imaging method with an embedded depth denoising network, and the method comprises the implementation steps: (1) building an experiment platform, arranging a main imaging sensor array and an auxiliary sensing sensor array in a preset two-dimensional measurement region, and constructing a magnetic field imaging system; (2) establishing a two-dimensional relative position mapping model between the main imaging sensor and the measured magnetic field source based on the two-dimensional grid parameters and the layout of the main imaging sensor; (3) under the condition that only environment noise source interference exists, magnetic noise signals of the main imaging sensor and the auxiliary sensing sensor are synchronously collected, and a deep denoising learning data set is constructed; (4) constructing a deep denoising network taking a multichannel auxiliary perception sensor signal as an input and a main imaging sensor noise signal as an output, and learning a mapping relation through supervised training; (5) when a target magnetic field exists, reconstructing and suppressing a noise component in a main imaging sensor signal by using the trained network; and (6) mapping the denoised main imaging sensor signal into two-dimensional magnetic field distribution according to a two-dimensional relative position mapping model to realize magnetic field imaging. According to the invention, denoising and two-dimensional imaging of magnetic field signals in a complex interference environment are realized through deep learning noise modeling and two-dimensional space mapping based on cooperation of multiple sensors.

The embodiment of the application discloses a scanning NV probe microscope, which comprises an atomic force microscope system for detecting surface topography information of a sample and an optical detection magnetic resonance system for detecting magnetic field distribution information of the sample, the atomic force microscope system comprises a vibrating arm and a diamond probe, and the optical detection magnetic resonance system comprises an NV color center, a transition excitation light path and a fluorescence detection light path; the sample to be scanned and the transition excitation light path are located on opposite sides of the diamond probe respectively, and the transition excitation light path and the fluorescence detection light path are located on the same side of the diamond probe; a first metal plating film is arranged on the side of the diamond probe close to the sample, and the first metal plating film is used for blocking surface fluorescence of the sample. The scanning NV probe microscope provided by the embodiment of the application blocks stray fluorescence from the surface of the sample by arranging a metal plating film at the bottom of the diamond probe, so that the problems of low signal-to-noise ratio of magnetic field imaging and limited measurement accuracy of the existing scanning NV probe microscope are solved.

This invention discloses a magnetic field imaging method with an embedded deep denoising network. The implementation steps include: (1) building an experimental platform and deploying a main imaging sensor array and an auxiliary sensing sensor array in a preset two-dimensional measurement area to construct a magnetic field imaging system; (2) establishing a two-dimensional relative position mapping model between the main imaging sensor and the measured magnetic field source based on the two-dimensional grid parameters and the layout of the main imaging sensor; (3) simultaneously acquiring magnetic noise signals from the main imaging sensor and the auxiliary sensing sensor under the condition of only environmental noise interference to construct a deep denoising learning dataset; (4) constructing a deep denoising network with multi-channel auxiliary sensing sensor signals as input and main imaging sensor noise signals as output, and learning its mapping relationship through supervised training; (5) when the target magnetic field exists, using the trained network to reconstruct and suppress the noise components in the main imaging sensor signal; (6) mapping the denoised main imaging sensor signal to a two-dimensional magnetic field distribution according to the two-dimensional relative position mapping model to achieve magnetic field imaging. This invention achieves denoising and two-dimensional imaging of magnetic field signals under complex interference environments through multi-sensor collaborative deep learning noise modeling and two-dimensional spatial mapping.

The present application relates to magnetic field imaging measurement technique, aims at providing a kind of heart magnetic field imaging measurement device and method based on diamond NV color center system.The present application proposes single-axis vector heart magnetic field imaging measurement and full-axis vector heart magnetic field imaging measurement based on the same technical principle, relies on excitation light to realize the polarization of diamond NV color center, and utilizes microwave field to control NV color center, obtains the population of NV color center spin quantum state by detecting the fluorescence signal intensity change generated by NV color center, to realize the measurement of external magnetic field intensity, realizes heart magnetic field imaging by multiple diamonds to constitute array.The present application can utilize NV color center system to non-destructively measure heart magnetic field vector field at room temperature, non-destructively, non-invasively measure and analyze heart working state;Since solid-state spin system can work in room temperature atmosphere, so that the method has the advantages of high sensitivity and robustness in practical application.

The present application relates to the field of electromagnetic wave imaging technology, and specifically discloses an electromagnetic field imaging method, which mainly comprises: 1. constructing an imaging model; 2. Determining the element number N and the array pose based on the mode requirements for imaging and the actual size of the antenna, and calculating the circular array radius corresponding to each mode separately; 3. Controlling the system according to the array pose determined in step 2, the phase-shifting parameters of each element antenna, and the radius of the circular array; 4. Receiving the echoes corresponding to each pose with the receiving antenna, and forming a two-dimensional (2D) echo matrix based on the frequency and the mode; 5. Processing the echo signal to obtain a distance-azimuth 2D imaging result.

The invention relates to the technical field of lithium ion battery pack state monitoring and fault diagnosis, in particular to a battery pack consistency evaluation method based on space magnetic field imaging and deep learning, which comprises the following steps: data acquisition and preprocessing: obtaining standardized input data for evaluation; constructing and training a dual-path deep learning network model; carrying out model training and online evaluation; the method has the beneficial effects that global magnetic field distribution change and local magnetic field distortion features caused by an abnormal battery can be captured at the same time through a dual-branch feature enhancement module in a magnetic field image path, and omission of fine abnormal features is avoided. Meanwhile, working condition context information provided by an electric parameter path dynamically guides image feature focusing through cross-modal attention, so that the model can interpret a magnetic field image in combination with the actual working state of the battery, and deep complementation and cooperative enhancement of electric-magnetic physical information are realized; therefore, the method shows extremely high detection sensitivity and overall evaluation precision for early and slight inconsistency.

The invention discloses a shape-following self-adaptive magnetic flux leakage dynamic camera shooting welding seam nondestructive testing device and a defect feature extraction method. The device comprises a magnetic field detection module, an excitation device, a thousand-path signal processing device and a magnetic field imaging upper computer. The magnetic field detection module adopts a flexible substrate to adapt to the curved surface morphology of the welding seam; the module comprises a Hall sensor array, and signal acquisition is realized through time division multiplexing of a multi-way switch. The excitation device is used for establishing a controllable static or alternating magnetic field in a welding seam area, and the requirements for different materials and thicknesses are met. And the thousand-path signal processing device drives a multi-path switch through a precise time sequence, so that time division multiplexing acquisition, high-speed analog-to-digital conversion and serial transmission of multi-path sensor signals are realized. The magnetic field imaging upper computer is responsible for magnetic field data gradient calculation, image reconstruction and result storage. Complete two-dimensional magnetic field distribution information in a space can be directly collected, an external light source is not needed, the problem of ambient illumination interference is solved, and meanwhile, integrated detection of surface and near-surface defects is achieved.

The utility model discloses a portable magnetic field imaging device, which comprises an array type magnetic field sensor, a sensor zooming mechanism, a multi-path differential output voltage signal processing circuit, a display screen, a magnetic field imaging model and the like. The array type magnetic field sensor can obtain magnetic field information of multiple points in a plane to be measured at the same time, magnetic field measurement in multiple planes is carried out through the sensor zooming mechanism, the magnetic field imaging model enables the magnetic field information to correspond to coordinates of a spatial position to be measured, and a magnetic field vector distribution diagram is drawn. The portable magnetic field imaging device disclosed by the utility model can collect magnetic field information of a plurality of measured points in a space to be measured at a high speed, and is small in size and better in portability.

The invention relates to the technical field of magnetic field imaging, in particular to a rapid magnetic field imaging method based on diamond NV color center coherent regulation and control. In order to solve the problem that an existing magnetic field imaging method based on a diamond NV color center is complex in operation, the invention provides a novel rapid magnetic field imaging method based on diamond NV color center coherent regulation and control, and the method comprises the following steps: 1) setting the frequency of pulse microwaves; 2) setting a synchronous control sequence, and collecting fluorescence intensity of different positions of a diamond NV color center two-dimensional space; the method comprises the steps of (1) drawing time-fluorescence intensity Rabi curves corresponding to different positions of a diamond NV color center two-dimensional space, (2) drawing time-fluorescence intensity Rabi curves corresponding to different positions of the diamond NV color center two-dimensional space, (4) obtaining actual angular frequency corresponding to each Rabi curve, (5) calculating and reversely deducing magnetic field intensity variation corresponding to different positions of the diamond NV color center two-dimensional space, and (6) achieving magnetic field imaging.

Highly integrated cantilever-based probe employing apparatus configured for scanning-type quantum sensing and imaging of nitrogen-vacancy centers. Optionally, the apparatus may utilize an atomic force microscope hardware. Method for fabricating and operating the same. The as-fabricated cantilever-based probe for use with such apparatus is structured to operate as a microwave antenna and lends itself for various magnetic field imaging, electric field imaging, and thermal imaging with high detection sensitivity and nano-scale spatial resolution.

The application belongs to the technical field of data processing, and specifically discloses a power hardware defect detection method and system based on visual intelligence, wherein the method comprises a power hardware defect detection method based on visual intelligence, which comprises the following steps: obtaining an initial image data set containing a target power equipment surface magnetic field distribution image according to the magnetic field imaging data of a target power equipment component collected in a target environment; performing feature extraction on the initial image data set to obtain a feature vector set, wherein the feature vector set represents a magnetic field anomaly mode in the image; and comparing the feature vector set with a preset deviation standard, and if the comparison result shows that the deviation exceeds the standard, it is judged that the environment interference affects, and an interference correction parameter is obtained, wherein the interference correction parameter is used for adjusting the imaging setting; and the application aims to solve the problems of the influence of complex environment interference on the accuracy of magnetic field imaging data and the accurate classification of defect types in the prior art.

This invention provides a diamond magnetic field imaging device and method based on an irregularly shaped beam, belonging to the field of diamond thin-film magnetic imaging technology. It includes a linearly polarized light excitation unit, a scalar irregularly shaped beam modulation unit, a fluorescence collection and detection unit, and a data processing unit. The linearly polarized light excitation unit emits laser light to the scalar irregularly shaped beam modulation unit, generating a scalar irregularly shaped beam. The scalar irregularly shaped beam passes through the fluorescence collection and detection unit to obtain a fluorescence image containing information about the magnetic field to be measured. The data processing unit processes the ODMR spectral data of each pixel according to a frequency sweep applied by microwaves, and then fits the image of the magnetic field to be measured according to the Lorentz relationship. This device utilizes an irregularly shaped beam with adjustable shape and geometric side count generated by cross-phase generation to calibrate the spatial positional relationship between the measured magnetic field image and the sample under test. This method not only eliminates the pre-calibration step required in existing technologies but also improves detection efficiency, eliminating the need to move the magnetic field to be measured.