16results about How to "Realize quantitative analysis" patented technology

This invention relates to the field of semiconductor material testing technology, specifically a single-crystal silicon wafer slip line detection system and method, comprising: a light source module emitting light signals of different wavelengths and polarization angles to scan the silicon wafer; a silicon wafer scanning module mounting the silicon wafer under test, adjusting the position of the silicon wafer under test, and executing a scanning trajectory to scan the silicon wafer with light signals; a signal acquisition and processing module receiving the light signals transmitted through the silicon wafer under test, performing preprocessing to obtain DU values ​​at different wavelengths and polarization angles, and sending them to an industrial control computer; the industrial control computer reconstructing the strain field based on the DU values ​​using a strain field reconstruction algorithm to generate a strain field distribution map; and identifying slip lines based on the strain field distribution map using a convolutional neural network model. This solution enables non-contact, non-destructive, and high-resolution slip line detection, thereby improving detection accuracy and efficiency.

A method for determining the association and continuity combination of top-side-rock structural surfaces based on unsupervised learning is proposed. This method involves investigating the structural surfaces of the roof and side-rock masses in underground engineering projects to obtain geometric and statistical information. A unified encoding is performed to construct a joint feature set of roof-side-rock structural surfaces. An unsupervised density-based clustering algorithm is used for initial cluster analysis of the joint feature set. A swarm intelligence-based Lüperfox optimization algorithm is introduced to optimize key parameters of the DBSCAN clustering algorithm. A Latin hypercube sampling method is used to improve the population initialization process of the Lüperfox optimization algorithm, resulting in better DBSCAN hyperparameters and optimized structural surface clustering results. The method determines the structural surface system affiliation of structural surfaces in different locations, quantitatively calculates the spatial continuity and combination relationship of structural surfaces, and outputs the spatial association determination results and continuity levels of the roof-side-rock structural surfaces. This method enables intelligent identification and quantitative analysis of the spatial relationship between roof and side-rock rock structural surfaces.

The embodiment of the application provides a kind of soft package battery's multiple field in-situ strain characterization method and device, with shear thickening electrolyte, soft package battery speckle mark surface is upwards, it is placed in the recess of in-situ observation platform, and positive and negative lug is connected to hard plate;Using intelligent temperature control device, the ambient temperature is adjusted to experimental temperature, infrared thermal imager is opened, and it is aligned with soft package battery;Fixed mechanical loading device is below the impact window of in-situ observation platform, and the adjustable power supply outside explosion-proof cover is connected with point device;Soft package battery is connected with battery test system and carries out charge-discharge test;CCD camera is connected with computer and is aligned with in-situ observation platform observation window, and starts shooting;Adjust the adjustable power supply parameter outside explosion-proof cover, and start mechanical loading device;Output the first mechanical behavior information and the second mechanical behavior information corresponding to the first time and the second time of soft package battery;According to the first mechanical behavior information and the second mechanical behavior information, the surface strain of soft package battery is obtained.

The embodiment of the application relates to the field of rock physical experiments, in particular to a method for identifying rock pore types, an electronic device and a storage medium, the method comprising the following steps: obtaining ultrasonic longitudinal wave speed and / or ultrasonic transverse wave speed of a target rock sample after ultrasonic longitudinal wave and transverse wave testing under different temperature and pressure conditions; establishing a temperature-pressure and speed covariant fitting equation based on the ultrasonic longitudinal wave speed and / or ultrasonic transverse wave speed under different temperature and pressure conditions; determining a pore type of the target rock sample according to a fitting coefficient in the temperature-pressure and speed covariant fitting equation based on a preset mapping relationship between pore types and fitting coefficients. The application establishes a temperature-pressure and speed covariant fitting equation, extracts a fitting coefficient, and realizes the differentiation of rocks with different pore types based on the fitting coefficient, thereby improving the identification efficiency of pore types.

The application discloses a clustering division method and system suitable for magnetic resonance images and a magnetic resonance image information processing device. The method is realized by fusing magnetic resonance image features by using a multi-view algorithm. The method comprises the following steps: acquiring at least two feature similarity matrices according to magnetic resonance image information; fusing all the acquired feature similarity matrices by using a multi-view algorithm to obtain a fusion matrix, wherein the multi-view algorithm is realized by using a similarity network fusion method; and determining a clustering result of the magnetic resonance image information according to the obtained fusion matrix. The clustering division of the magnetic resonance image information is realized by extracting and fusing the magnetic resonance image features, and the clustering result is more accurate and more comprehensive.

This invention belongs to the field of marine acoustic detection and remote sensing technology, and discloses a method and system for inverting the abundance of deep-sea mixed sediments based on bottom echo data. The method involves preprocessing the bottom echo waveforms of multibeam bathymetry data to obtain a bottom echo sequence; extracting features from the bottom echo sequence waveforms and concatenating these features to the corresponding bottom echo waveforms to form a new waveform sequence; fusing the enhanced waveform sequences to construct an observation matrix Y; decomposing the observation matrix Y into an endmember waveform matrix H′ and an abundance distribution matrix W′, and introducing a minimum volume constraint during the decomposition process; adding a spectral reconstruction error term based on dynamic time warping to the loss function; iteratively optimizing H′ and W′ using gradient descent or multiplicative update rules until convergence; and obtaining the endmember waveform H′, which represents the acoustic response waveform of typical sediment types, and the abundance matrix W′, which reflects the mixing ratio of each endmember at different sampling points, demonstrating high classification accuracy.

This invention discloses an intelligent inspection grid positioning and data management method for large-area continuous engineering facades, relating to the field of engineering safety monitoring and inspection technology. It is particularly applicable to engineering facades with large areas, continuous surfaces, and lacking significant feature points, such as dam faces and engineering slope surfaces. The method includes: firstly, unified management of positioning and image data collected by intelligent inspection equipment, mapping the collected data onto an orthophoto map of the large-area continuous engineering facade to facilitate accurate location and tracking of defects during inspection; secondly, a grid-based representation method for surface defect data of large-area continuous engineering facades is proposed, establishing a grid-based defect data representation model for large-area continuous engineering facades to achieve standardized recording and efficient management of defect information.

The application discloses a kind of digital twin driven carbon fiber spinning oil intelligent regulation and control method and system, belong to artificial intelligence and intelligent manufacturing field.The method is by real-time acquisition nozzle multi-source sensing data and high-speed spray image, drive high-fidelity CFD digital twin model simulation internal flow field, and combine image processing extracted external spray feature, utilize pre-trained neural network model to predict the risk index of blockage.System according to risk level automatically triggers different cleaning procedures, including preventive ultrasonic cleaning and enhanced thermal-mechanical synergistic cleaning, and after cleaning, by reacquiring data to verify effect and calibrate model, form the closed loop of perception-simulation-decision-execution-verification.The application realizes early warning, accurate evaluation and active intervention to nozzle blockage, effectively guarantees oil agent spraying uniformity and the continuous stability of carbon fiber production.

The invention discloses a reaction analysis method based on molecular dynamics and a related product. The method comprises the following steps: acquiring an initial structure file and a keying information track file which are generated by simulating a target system through molecular dynamics; determining molecular units and internal element composition characteristics of each molecular unit according to atomic bonding information corresponding to the initial time step, and determining initial reactants corresponding to each molecular unit according to a preset molecular criterion based on the internal element composition characteristics of each molecular unit; and for any atom, determining an atom number corresponding to the atom and a molecular unit to which the atom belongs, and constructing a corresponding relationship between the atom number and the molecular unit so as to analyze the reaction in the target system according to the corresponding relationship. By performing source marking on target atoms from different recognizable molecules at the simulation initial moment, stable recognition and distinguishing of any element atom source are realized.

This invention discloses an intelligent diagnostic method and device for subway car door noises based on voiceprint recognition, comprising the following steps: preprocessing acquired data to generate phase-labeled audio sequences and phase-labeled state sequences; extracting and generating voiceprint feature sequences and state feature sequences; constructing a phase encoding sequence and performing length warping and dynamic time warping to generate phase-warped voiceprint sequences and phase-warped state sequences; inputting an improved Jamba network to perform stage state updates and stage coupling, calculating dynamic consistency residuals and fusing them to obtain physically consistent embedding sequences; generating expert fusion representation sequences through a coupled gating expert hybrid layer; calculating abnormal potential energy sequences and triggering abnormal branches, outputting the existence result of the noise, the type of noise, the component location result, and the severity level, and updating the frozen normal baseline embedding trajectory according to the severity level. This invention achieves accurate identification and stable graded diagnosis of subway car door noises.

This invention discloses a method and apparatus for correcting non-uniform response errors in the circular field of view of an infrared spectrometer, relating to the field of spectrometer calibration technology. The method involves acquiring response intensity curves along four orthogonal directions—the field of view axis, the axial direction, and the two diagonals—and converting them into polar coordinate scatter plots. Basis functions are constructed using circular orthogonal polynomials, and a two-dimensional response distribution of the spectrometer's circular field of view is generated through regularized fitting. Subsequently, based on the relative spatial parameters of the target and the spectrometer, the coordinate parameters of the target in the spectrometer's field of view are calculated. The relative intensity value corresponding to these coordinate parameters is then retrieved from the two-dimensional response distribution and used as the field-of-view response correction coefficient. This ultimately achieves precise correction of non-uniform response intensity at different positions within the field of view. This correction method significantly improves the measurement consistency of light signals at various positions within the field of view, is adaptable to lenses with different field-of-view angles, and boasts efficient calculation processes, meeting the practical needs of high-precision spectrometer measurements.

This disclosure relates to the technical field of automotive brake testing, and discloses a method, device, and system for health monitoring of electromechanical braking systems. The method includes: acquiring, during a braking test of the electromechanical braking system, the ideal clamping force value, the actual clamping force value, spatial magnetic field distribution data generated by the hub motor, and mechanical vibration signal data of the braking components; determining a clamping force influence function based on the difference between the ideal and actual clamping force values; determining a magnetic field difference value based on the spatial magnetic field distribution data; fusing the clamping force influence function, the magnetic field difference value, and the mechanical vibration signal data to obtain a comprehensive degradation index; comparing the comprehensive degradation index with a pre-acquired comprehensive health evaluation threshold, and determining the health monitoring result of the electromechanical braking system based on the comparison result. This method can achieve real-time determination of the health status of the electromechanical braking system during operation.

This invention provides a method and system for analyzing heat transfer in composite insulation blankets in solar greenhouses, belonging to the field of greenhouse environmental technology. The method includes: meshing the internal structure of the composite insulation blanket along its thickness; establishing a transient heat conduction differential equation as the governing equation based on the law of conservation of energy; determining initial and boundary conditions; and solving for the temperature distribution and overall heat transfer coefficient of the composite insulation blanket by coupling four heat transfer processes: conduction, convection, radiation, and latent heat exchange due to water vapor condensation. This invention solves the problem that existing models lack clear heat transfer mechanisms and cannot accurately reflect actual heat transfer processes. By comprehensively considering dynamic environmental factors and the structural characteristics of the insulation blanket, it achieves a realistic simulation of the heat transfer process under actual working conditions, providing a reliable theoretical tool for the structural optimization and material selection of the insulation blanket.

The application discloses an oil-water multiphase flow monitoring and identifying system based on microfluidics and fluorescence microscopy, and relates to the field of oil-water multiphase flow monitoring and identifying systems; comprising a microfluidic chip, a fluid injection control, a microscopic imaging, an image processing module and a produced liquid collecting device. The microfluidic chip is etched based on real core CT data and accurately simulates pore structure; the fluid injection control module realizes high-precision liquid injection and constant temperature control; the microscopic imaging module captures four-phase fluid dynamics through multi-band fluorescence imaging; the image processing module carries self-developed algorithms, can identify six types of remaining oil and complete multi-dimensional quantitative analysis, and the results can feedback injection parameters. The system solves the problems of real-time observation loss, high cost and indirect mechanism inference of traditional core experiments, realizes in-situ visualization of the displacement process, data precision and intelligent regulation and control, is suitable for chemical flooding mechanism research of complex reservoirs, and provides an efficient research platform for improving recovery efficiency.

This invention provides a method for detecting trans-4,5-epoxy-2(E)-decaldehyde based on LC-MS / MS. First, trans-4,5-epoxy-2(E)-decaldehyde standards are prepared into standard solutions of different concentrations. Then, the standard solutions are derivatized by solid-phase extraction with 2,4-dinitrophenylhydrazine (DNPH) to obtain analytical samples containing standard solutions of different concentrations. Next, LC-MS / MS analysis is performed on the analytical samples of different concentrations of standard solutions to obtain a standard curve with standard concentration as the abscissa and peak area as the ordinate. The sample to be tested is detected using LC-MS / MS, and the content of trans-4,5-epoxy-2(E)-decaldehyde in the sample is determined using the standard curve. This invention achieves accurate qualitative and quantitative analysis of this compound and establishes a standardized platform for the role of this compound in systemic health and disease.