21 results about "Reference field" patented technology

This invention discloses an extreme wind field discrimination method based on non-equilibrium Wasserstein distance, belonging to the field of meteorological wind energy prediction technology. The method includes the following steps: obtaining a set of wind field samples in the study area during the target period to construct a reference field; calculating the non-equilibrium Wasserstein distance between each wind field sample and the reference field as an extremity index; fitting the statistical distribution of the extremity index; calculating an extreme discrimination threshold based on the fitted GEV distribution model; and comparing the extreme index with the extreme discrimination threshold to determine whether the wind field sample is an extreme event or a non-extreme event. This invention, employing the aforementioned extreme wind field discrimination method based on non-equilibrium Wasserstein distance, can provide a high-precision foundation for identifying typical extreme wind fields and constructing scenarios for research such as climate change scenario analysis, extreme scenario risk assessment, renewable energy uncertainty quantification, and energy system resilience optimization.

A method, apparatus, readable medium, electronic device, and product for interface detection are disclosed. The method includes: receiving service information forwarded by a traffic management device, wherein the service information is obtained by the traffic management device collecting operational results associated with the traffic management device and the corresponding service interface; determining the target field type and reference field parameters corresponding to the target field type based on the service scenario corresponding to the service interface; and detecting the service information based on the field parameters corresponding to the target field type and the reference field parameters in the service information to obtain the detection result of the service interface. This method allows for the acquisition of interface information without modification to the business code, thereby completing the service interface detection process and avoiding the risks associated with modifying the business code.

Magnetic sensing device integrated in a magnetic switch device that makes or breaks contact in the presence of an external magnetic field, comprising: a first transistor biased at a first terminal by a first bias voltage and a first magnetoresistive element having a first resistance variable with the external magnetic field. At a reference field strength, the first resistance has a first reference resistance value, and the first bias voltage is adjustable to control a first current at the second terminal of the first transistor at a first reference current value. When the external magnetic field is varied around the reference field strength, the first variable resistance varies around the first reference resistance value by a resistance delta, such that the first current modulates around the first reference current value by a current delta. A magnetic switch device comprising the magnetic sensing device is also disclosed.

The present disclosure provides a data processing method, which can be applied to the technical field of big data and the technical field of finance. The method comprises: in response to a user query request, obtaining a reference field by analyzing the user query request, the reference field comprising at least a target query period field and a target institution field to which the user belongs; based on the target query period field and the target institution field, reading target historical query log data from a database, the target historical query log data being generated before the target query period and being associated with the target institution; associating the target historical query log data with a plurality of predefined query semantic word groups to obtain a target query semantic word group; and associating the target query semantic word group with data labels of a plurality of labeled data to determine a plurality of target data from the plurality of labeled data. The present disclosure also provides a data processing device, equipment, storage medium and program product.

This invention relates to the field of dynamic modeling technology and discloses a dynamic modeling system for digital twin of packaging electrostatic field, comprising: acquiring the feedback signal of the drive frequency actuator, the displacement data of the controlled target object, and the reference field strength signal; extracting the high-frequency ripple component of the current signal to determine the dynamic friction coupling factor, characterizing the micro-fluctuation of contact stress; mapping the conductive transmission component as a virtual topological zero-potential anchor point, and switching the leakage resistance parameter when the controlled target object is displaced to the corresponding coordinate; using the dynamic friction coupling factor to compensate for the charge injection gain, and solving the charge distribution state of the controlled target object through a two-layer evolution architecture; thereby generating a digital twin model of the distributed physical quantity field and correcting the deviation. This invention establishes the correlation logic between drive dynamics and charge evolution, offsets the fluctuation of charging gain caused by mechanical dynamic drift, and improves the modeling accuracy.

The application belongs to the technical field of semiconductor simulation, and mainly provides a self-heating effect measurement method and simulation system based on a SPICE model, which first establishes a first measurement structure and a second measurement structure based on a reference field effect transistor; and generates a first current-voltage curve and a second current-voltage curve under the first measurement structure and the second measurement structure respectively; then generates corresponding self-heating effect parameters based on the first current-voltage curve and the second current-voltage curve, determines an exponential formula parameter applied to the reference field effect transistor from the self-heating effect parameters; writes the exponential formula parameter into a model card, thereby simulating the self-heating effect of the field effect transistor based on the model card of the SPICE model, and thereby obtaining the self-heating effect parameters of the field effect transistor in actual application.

The application discloses a user demand recognition method and device based on a knowledge graph constraint and a large model, the method comprising: performing preset processing on multi-modal user metadata corresponding to a product to be analyzed to obtain a unified intermediate representation; inputting the unified intermediate representation into a multi-modal large model to generate candidate user demand feature items and candidate design element items and corresponding confidence degrees; mapping the candidate user demand feature items and the candidate design element items to corresponding nodes in a preset industrial design knowledge graph for constraint consistency processing to obtain a candidate result set that has passed constraint verification; if the candidate result set meets a retrieval trigger condition, retrieving technical document segments corresponding to the candidate result set from an external evidence library, and binding the retrieval results with the candidate result set; and outputting a structured result record according to a preset structured template, wherein the structured result record at least includes a demand result field, an evidence index field, a knowledge graph node reference field and a constraint verification marker field.

The application relates to the field of satellite rainfall data prediction, and discloses a satellite typhoon rainfall physical constraint adaptive residual fusion algorithm, which comprises the following steps: step a, a reference field construction step; step b, a residual calculation step; step c, an adaptive inverse distance weighted interpolation method is used to expand the discrete distributed observation residual into a continuous interpolation residual field covering the research area; step d, a physical constraint correction step: the interpolation residual field is sequentially subjected to terrain constraint, land-sea difference constraint and typhoon rain belt structure constraint to generate a final corrected residual field subjected to physical constraint correction; and step e, a final fusion precipitation field is generated. The application introduces and quantifies terrain, land-sea boundary and typhoon structure constraint, so that the sequentially corrected residual field generated by pure mathematical interpolation can be obtained, the precision of the final fusion precipitation field estimated by the application is greatly improved, and a complex precipitation field under the influence of a typhoon can be truly and accurately represented.

The present application relates to the technical field of biomedical engineering, and a transcranial magnetic stimulation treatment parameter quantification method and system based on electric field intensity calibration, comprising: using an image unit to obtain a medical image set of a patient's head, performing multi-tissue segmentation on the medical image set through a medical image processing unit to obtain multiple tissue layer spatial positions, assigning electric conductivity parameters to the multiple tissue layer spatial positions using an electromagnetic simulation unit to obtain multiple tissue layer electric conductivities, simulating multiple reference field strengths using the multiple tissue layer electric conductivities and a pre-constructed coil electromagnetic field model, adjusting the configuration current of a TMS coil at a preset treatment site using the multiple reference field strengths to obtain a target point field strength and a configuration current, and retrieving a treatment intensity from a preset current intensity mapping table according to the peak current. The present application can achieve accurate quantification of transcranial magnetic stimulation treatment parameters.

The application discloses an online nondestructive detection method for the moisture content of agricultural products based on multispectral imaging, and comprises the following steps: through active hardware pre-adjustment, the system is made to work in the optimal linear region of photoelectric response, laying a physical foundation for accurate detection; a reference module is arranged in the imaging field of view, three-grade known reflectivity color blocks are arranged in the module, and real-time self-calibration is performed through the distributed reference field; a spatial interpolation algorithm is used to complete pixel-level correction covering the full field of view; a three-waveband cooperative detection system is adopted, on the basis of obtaining pure intrinsic reflectivity data, a physical guide prediction model is designed to accurately extract the water feature and suppress scattering interference, and then the model is updated online to adapt to different types of agricultural products. The system of the application is composed of a multispectral imaging unit, a carrier and reference unit and a calculation control unit, does not need manual intervention in the whole process, can meet the needs of 7*24-hour industrial continuous operation, and is suitable for high-speed sorting production lines of various agricultural products.

This invention discloses a PCBA fault detection method and system, relating to the field of electronic manufacturing inspection technology. The method includes: scanning the surface and internal dielectric layer of a fault-free PCBA in a static state using a non-contact dielectric sensor array to obtain intrinsic dielectric constant distribution data; generating a three-dimensional dielectric topological reference field model based on the intrinsic dielectric constant distribution data; capturing the dynamic change waveform of the global dielectric constant of the PCBA under test in a powered-on operating state using a dielectric probe array; performing a spatiotemporal superposition comparison between the dynamic change waveform and the reference field model; identifying regions where the dielectric constant offset exceeds a preset threshold and marking them as potential fault areas. This invention achieves high-precision, non-destructive online fault location, significantly improving the detection rate of internal PCBA defects and reducing the risk of misjudgment.

The application relates to the technical field of semiconductor manufacturing, and discloses a wafer defect detection method, a wafer defect detection device and a medium. The method comprises the following steps: performing image processing on a target wafer image of a wafer object to be detected to obtain a plurality of local spectrum regions; performing complex filtering processing on the local spectrum regions in a plurality of scales and a plurality of directions to obtain response information of each local spectrum region under different scales and different directions; determining a phase consistency residual graph, a frequency band leakage residual graph and a direction offset residual graph based on phase responses and energy responses in the response information, a pre-constructed spectrum phase reference field, a main frequency band and a main direction; performing multi-scale residual back projection processing on the target wafer image to obtain a multi-scale residual back projection graph; generating a defect saliency graph based on any one or several of the phase consistency residual graph, the frequency band leakage residual graph, the direction offset residual graph and the multi-scale residual back projection graph; and performing defect detection based on the defect saliency graph to obtain a target detection result.

This invention discloses a multi-dimensional joint control method for electromagnetic beams based on anisotropic holographic metasurfaces. It aims to address the shortcomings of existing multi-beam multi-dimensional control capabilities and the problems of inter-beam coupling and interference. The method includes: 1) constructing a target field according to the requirements of the actual application scenario, selecting a feed source, and determining its excitation reference field; 2) calculating the metasurface impedance components using tensor holography theory based on the target field and reference field to complete the physical structure design; 3) introducing a fully polarized modulation matrix into the target field expression and adding power allocation coefficients for beams of different polarizations to achieve joint control of arbitrary polarization and different energy ratios; 4) introducing a spatial multiplexing strategy into the beam field to jointly optimize the propagation direction and initial radiation position of different beams; and simultaneously combining polarization isolation and amplitude-phase modulation to achieve stable multi-beam transmission. This invention can effectively improve the anti-interference capability and energy utilization of multi-beam transmission, meeting the requirements of system applications.

The application discloses a dam safety monitoring method and system, relates to the technical field of hydraulic engineering, and comprises the following steps: three-dimensional arrangement of a controllable low-frequency excitation source and a distributed sensing array, active emission of a time sequence coded low-frequency elastic wave excitation signal, synchronous acquisition of response data and preprocessing; construction of a double-field coupling forward model based on an elastic wave wave equation and a seepage field equation, reconstruction of a three-dimensional wave velocity field and a permeability field by using a regularization iterative tomographic inversion algorithm; comparison of each element of a real-time field and a reference field, identification of a defect type and generation of a three-dimensional imaging atlas, realization of accurate positioning of the defect by relying on a ray tracing positioning algorithm, completion of quantitative grading early warning of the defect, early detection of hidden defects of the dam, global imaging, accurate positioning and grading early warning under the non-invasive condition of normal water storage of the reservoir and no structural damage.

This invention provides a method and system for dynamic optimization of the impact resistance of an anchor-mesh support system. It constructs a unified time baseline and phase reference field based on a synchronous vibration sensor network; identifies abrupt changes in the vibration mode of the metal mesh and extracts the dominant frequency, comparing it with the natural frequency of the surrounding rock to generate a frequency coupling risk region and a phase locking window; maps the risk region to the contact boundary between the metal mesh and the surrounding rock, and deploys energy isolation boundaries and energy transfer channels; based on the high-risk period determined by the phase locking window, it performs prestressed progressive correction on the anchor bolts and adjusts the stress wave propagation characteristics to achieve phase synchronization between the anchor bolts and the metal mesh; constructs a multi-channel energy dissipation path in the synchronization region, and collects real-time vibration status using a high-bandwidth feedback gain path; generates an active suppression signal, driving channels, patches, and mechanisms to generate reverse control commands to suppress vibration abrupt changes. This invention improves structural stability while achieving phase synchronization between the anchor bolts and the metal mesh, enhancing the impact resistance of the support system.

The application provides a content-based information security auditing method, comprising: analyzing the split forwarding frequency of AI-generated image-text content in the propagation path of a social platform when the remaining payload space is insufficient, counting the stripping frequency of each modal identifier payload when the image-text is independently intercepted and forwarded, and determining the available space of the traceability field corresponding to the split forwarding frequency through the stripping frequency; for the payload occupation of the mutual reference field and the traceability field after the payload occupation redistribution scheme is adjusted, the binding relationship between the image identifier and the text identifier is fused, the byte loss ratio of the associated content fingerprint after being truncated when the AI-generated image-text content is split and propagated is evaluated, and the payload occupation ratio of the mutual reference field and the traceability field is determined.

The application discloses a kind of printed matter surface defect detection method and system, it is related to industrial machine vision technical field, including the candidate area is projected as candidate binary graph and is carried out connected domain label, calculate cross-channel difference mean in combination with standardization supplementary image and standardization visible light image, screen confirms defect set and calculates length-width ratio, and obtain defect detection label by threshold comparison;Through two-stage frequency domain frequency shift fine processing, realize the high-precision suppression of printed matter periodic underprint and fractional period carrier texture, reduce the interference of complex background to defect detection result, realize the adaptive modeling to printed structure stable feature by constructing and dynamically updating structure reference field, effectively distinguish real defect and background texture fluctuation changing with time, improve the accuracy of defect identification and reduce false abnormal misjudgment rate by area structured analysis and cross-channel consistency discrimination.

The application provides a substation ground settlement monitoring method and system based on distributed optical fibers, which comprises the following steps: collecting initial frequency shift data and initial phase data corresponding to the substation in a no-load stable state to construct an initial strain reference field and an initial vibration reference field; collecting frequency shift variation and phase variation of each optical fiber sampling point when each electrical equipment is running to construct a strain transfer function matrix from the vibration source of each electrical equipment to the optical fiber sampling point; calculating the dynamic strain component of each optical fiber sampling point caused by equipment vibration according to the strain transfer function matrix, and removing the dynamic strain component from the total frequency shift variation to calculate the static settlement strain component; and calculating the three-dimensional settlement displacement value of each node in the ground based on the strain-displacement geometric relationship and the ground static settlement strain field. The application can greatly improve the monitoring efficiency of ground settlement.

The application discloses a wafer detection method and device, an electronic device and a storage medium. The wafer detection method obtains three-dimensional point cloud data by performing field-of-view scanning on a region of interest of a wafer, uses common microstructures in an overlapping region as a height alignment basis to construct a dynamic reference surface with a selected initial reference field of view, calculates and corrects a relative offset in a height direction field by field, and finally generates a three-dimensional point cloud model corresponding to the region of interest and having global height consistency. Compared with related technologies, the application does not require external calibration marks or absolute accuracy of a motion platform, does not rely on two-dimensional image features or general three-dimensional registration methods, is specialized in height direction consistency optimization, significantly improves the accuracy and reliability of a global three-dimensional model, and effectively overcomes the height deviation problem between fields of view caused by factors such as sensor drift and wafer warping.

The application relates to the technical field of computer graphics image processing, and particularly discloses an immersive scene data error identification method and system based on multi-source input, which comprises the following steps: extracting a pose change sequence and a measurement residual sequence of a multi-source synchronous data frame, and inputting an instantaneous drift estimator to output an instantaneous drift estimation quantity; taking the instantaneous drift estimation quantity as an initial deviation field, projecting geometric feature points and semantic labels of each data source to a high-dimensional error reference field at the same time, and obtaining a residual vector set; performing difference operation on the residual vector set to obtain a multi-source cross-validation difference value, determining a candidate error region through multi-level dynamic threshold comparison; performing error division on the candidate error region to generate a structured error identification report; and the application can track sensor dynamic drift in real time, detect geometric-semantic joint deviation, and improve the space-time consistency and virtual-real fusion fidelity of an immersive scene.