52 results about "Composite sample" patented technology

The invention provides a mineral leaching property analysis method, which belongs to the field of process mineralogy, and comprises the following steps: crushing and enriching a sample to be detected, and selecting single mineral particles to obtain target mineral particles; the preparation method comprises the following steps: coating a sample preparation grinding tool with epoxy resin glue, adding target mineral particles, and carrying out curing and grinding treatment to obtain a primary sample; cutting the primary sample, placing the grinding surface downwards and the three wear-resistant alloys at the bottom of a sample preparation grinding tool, injecting epoxy resin glue, curing to form a composite sample, accurately grinding, polishing, performing carbon spraying treatment, performing first automatic mineralogical analysis, measuring the area of a target mineral, cleaning, and performing leaching treatment to obtain a treated sample; and after solidification, accurate grinding and polishing and carbon spraying treatment, secondary automatic mineralogical analysis is carried out, the area of the residual target mineral is measured, and the leaching index of the target mineral is calculated. Reliable technical support is provided for mineral processing technology optimization and resource evaluation, and the method is particularly suitable for development of efficient leaching technologies of precious metal, rare earth and the like.

Embodiments perform multi-modal prediction of composite properties. A first mode input representing mechanical characteristic(s) of a composite sample is (i) transformed into material property definition(s) of physics-based model(s) or (ii) used to encode material property definition(s) in input variable(s) of a machine learning (ML) model. A second mode input representing morphological characteristic(s) of the sample is (i) transformed into phase volume parameter(s) of the physics-based model(s) or (ii) used to encode phase volume parameter(s) in the input variable(s) of the ML model. A third mode input associated with the sample is (i) transformed into electrical conductivity parameter(s) of the physics-based model(s) or (ii) used to encode electrical conductivity parameter(s) in the input variable(s) of the ML model. Using the physics-based model(s) or the ML model, property(ies) of the sample are predicted.

The invention provides a water-drive oil field single well yield prediction method fusing spatio-temporal information. The water-drive oil field single well yield prediction method fusing spatio-temporal information comprises the steps that 1, the importance of influence factors is evaluated through an embedded method; 2, screening and determining dynamic and static influence factors by adopting a voting method; 3, determining spatial dynamic influence factors based on sequence correlation analysis; 4, constructing a water injection composite sample considering the response hysteresis; 5, constructing a single well development index prediction model based on LSTM and MLP, wherein the single well development index prediction model integrates time-space dynamic and static information; and 6, carrying out model prediction. According to the water drive oil field single well yield prediction method fusing the spatio-temporal information, development index prediction fusing mechanism guidance and data driving is achieved, the prediction precision is high, the generalization ability is high, and a new means is provided for prediction of the oil field single well yield.

The invention relates to a heterogeneous insulation interface parameter testing method and device based on broad-spectrum photoelectric emission, and the method comprises the steps: applying metal electrodes with different work functions to to-be-tested samples of two single-layer materials forming heterogeneous insulation, and obtaining a single-layer material photoelectric emission current spectrum; analyzing the photoelectric emission current spectrums of the single-layer materials to obtain parameters of the two single-layer materials forming heterogeneous insulation; applying metal electrodes with different work functions to a heterogeneous insulation composite sample formed by tightly attaching two single-layer materials forming heterogeneous insulation to obtain a total photoelectric emission current spectrum of the heterogeneous insulation composite sample; separating according to the total photoelectric emission current spectrum of the heterogeneous insulation composite sample to obtain an intermediate interface photoelectric emission current spectrum; and analyzing the photoelectric emission current spectrum of the intermediate interface, and calculating to obtain a real contact potential barrier between the two single-layer materials forming the heterogeneous insulation. Compared with the prior art, high-precision measurement of heterogeneous insulation interface parameters is realized.

The invention discloses a composite material reflectivity spectral information classification method and system based on a PCA-SVM algorithm. The method comprises the following steps: collecting reflectivity spectral data of a composite material sample; preprocessing data to eliminate measurement deviation and unify numerical scale; carrying out dimensionality reduction on the preprocessed high-dimensional spectral data through principal component analysis, and extracting feature components retaining main variance information; based on dimension reduction features, a support vector machine is adopted to construct a multi-label classification model according to a'one-to-other 'strategy; predicting the test sample, and generating a multi-label classification result through probability output and threshold processing; and analyzing the classification performance by using the multi-label evaluation index. The data processing module of the system executes preprocessing, dimension reduction, modeling, prediction and evaluation operations. The method is suitable for lossless identification of multi-component composite samples, both interpretability and identification precision are considered, the performance bottleneck of a traditional method under the conditions of feature overlapping, insufficient samples and the like is effectively overcome, and efficient and accurate classification of the composite materials is achieved.

The invention belongs to the technical field of binding force testing, and particularly relates to a composite current collector binding force testing device and method.The composite current collector binding force testing device comprises a testing rack, a hot-pressing assembly is installed on the surface of the testing rack, and the hot-pressing assembly is used for conducting hot-pressing binding on a composite current collector three-layer composite sample; the composite current collector three-layer composite sample comprises a test main body layer, a bonding layer and a supporting layer which are sequentially stacked, a force measuring assembly is installed on one side of the hot pressing assembly, the force measuring assembly is used for testing the binding force of the composite current collector three-layer composite sample, the force measuring assembly comprises two clamps, and the two clamps are used for clamping a testing main body layer and a supporting layer of the composite current collector three-layer composite sample respectively. The three-layer composite sample of the composite current collector is subjected to hot-pressing lamination through the hot-pressing assembly, so that the bonding layer is firmly bonded with the metal layer of the test main body layer, and when a test is carried out through the force measuring mechanism, the metal layer can be completely separated, and the accuracy of binding force test data is ensured.

An anion exchange separation article is provided that can be used to separate a composite sample containing a mixture of materials having different ionic charges. A separation article includes a plurality of polymer chains grafted to a porous polymer substrate, the porous polymer substrate being a solid. The plurality of polymer chains extend away from the surface of the porous polymer substrate, and the side chains of the monomer repeating units of the polymer chains are terminated with guanidinium groups or salts thereof. The separation articles may be used, for example, for separating biological material in a sample based on differences in charge of the biological material. Advantageously, the binding capacity of the anionic separation article is salt tolerant.

The application belongs to the technical field of material detection, and specifically provides a method for determining the sodium expansion rate of an aluminum cathode with a non-standard size under pressure, characterized in that the method comprises the following steps: preparing a composite sample through an aluminum cathode carbon block and a graphite block, and preparing a control sample through the graphite block; electrolyzing the composite sample and the control sample respectively; determining a first length increment curve of the composite sample in an electrolysis process, and determining a second length increment curve of the control sample in the electrolysis process; and determining the sodium expansion rate of the aluminum cathode based on the first length increment curve and the second length increment curve. The technical scheme provided in the application can realize the determination of the sodium expansion rate of an aluminum cathode with a non-standard size.

This invention discloses a multi-physics in-situ testing platform for aramid-synthetic ester composite insulating materials. The method includes: pre-treating an aramid substrate by drying and impregnation to obtain a composite sample; clamping the sample between test electrodes; applying a stable and controllable temperature field and an electric field to the sample sequentially or simultaneously; and measuring the dielectric constant, dielectric loss factor, and conductivity of the sample in situ under stable thermo-electric coupling conditions. The testing platform includes test electrodes for clamping the sample, a temperature control module for applying the temperature field, an electric field loading module for applying and adjusting the electric field, and a data acquisition module for in-situ data collection. By optimizing the sample pre-treatment process and the synchronous loading control of multi-physics fields, this invention achieves high-precision and highly repeatable in-situ testing of the dielectric properties of materials under actual service conditions within a wide temperature and field strength range. It is particularly suitable for evaluating the performance evolution of composite insulating materials under thermo-electric coupling.

The invention relates to a heat treatment regulation and control method for equiaxial alpha volume fraction of a laser deposition state titanium-based composite material, which comprises the following steps of: heating a sample of the laser deposition state titanium-based composite material to a heating final temperature along with a furnace, immediately cooling the sample to a cooling final temperature along with the furnace at a cooling speed of 1-15 DEG C / min, and taking out the sample from a heat treatment furnace after the sample is cooled to the cooling final temperature, thereby obtaining the equiaxial alpha volume fraction of the laser deposition state titanium-based composite material. The invention further provides a laser deposition state titanium-based composite material obtained through the method, the laser deposition state titanium-based composite material is a TiB2 reinforced Ti65 composite material, and compared with the laser deposition state titanium-based composite material, the yield strength at the room temperature is not lower than 850 MPa, and the tensile strength is not changed or slightly improved by 20-50 MPa; and under the condition that the tensile strength is not lower than 1150 MPa, the room-temperature ductility is improved by 100%-150%.

Some embodiments of the present disclosure provide a method of determining optical properties of a particulate material. A first optical model for a matrix material is provided, and a composite sample having a polished surface is provided with the composite sample including a mixture of the particulate material in the matrix material. Spectroscopic ellipsometry is performed on the polished surface of the composite sample to provide spectroscopic ellipsometry data for the composite sample. A second optical model is generated for the particulate material based on the spectroscopic ellipsometry data for the composite sample and based on the first optical model for the matrix material.

The invention belongs to the technical field of geotechnical engineering testing, particularly relates to a method for determining composite modulus of waste whole-tire reinforced soil, and aims to solve the problem of data distortion in traditional testing. Comprising the following steps: carrying out a uniaxial tensile test on a waste whole tire to obtain a tire tensile modulus for circumferential stress analysis; the method comprises the following steps: preparing a waste whole tire-filler soil composite sample, carrying out an unconfined compression test, arranging a linear variable differential displacement meter in the diameter direction of the tire to monitor the overall diameter change, and pasting a resistance strain gauge on the inner wall of the tire to measure the local circumferential strain; and calibrating the reading of the resistance strain gauge by using the monitoring result of the linear variable differential displacement meter to obtain calibrated circumferential strain data. And on the basis of a circumferential tension theory, equivalent confining pressure increment provided by the tire to the filler soil is calculated for the obtained calibrated circumferential strain data. And substituting the obtained tire equivalent confining pressure increment into the relationship between the modulus of the filler soil and the confining pressure, and calculating and determining the composite modulus of the waste whole tire reinforced soil.

The application belongs to the technical field of computer vision and artificial intelligence, and discloses a target re-identification method based on frequency domain guidance prompt, equipment and medium, the method comprises the following steps: obtaining a target image to be processed; performing frequency domain decomposition on the target image to extract and fuse high-frequency components to obtain a high-frequency detail image; determining a plurality of high-frequency image blocks containing fine-grained texture information in the image according to the high-frequency detail image, and encoding to generate instance tokens; obtaining a visual prototype corresponding to the image identity from a prototype library, and generating a prototype token; embedding the instance token and the prototype token into a text template to generate an image-specific personalized text prompt; finally, constructing a composite image-text sample pair containing difficult positive and negative samples based on the generated personalized text prompt, and training a visual-language pre-training model using the cross-modal contrast loss mined by the composite sample. The application generates a personalized text prompt for each image and effectively improves the performance of target re-identification.

This invention belongs to the technical field of railway tracks, specifically disclosing a method for identifying rail corrugation in rail transit based on the composite characteristics of train vibration and noise. The method includes the following steps: acquisition and processing of train vibration, noise, and related signals; enhancement and fusion of vibration and noise signals; mapping of vibration and noise composite data to corrugation relationships and establishment of a sample set; design and training of a convolutional neural network structure for the vibration and noise composite sample set; and identification of rail corrugation status. This invention uses a one-dimensional convolutional neural network to adaptively extract features from the sample set of vibration fusion data based on vibration and noise fusion data. Simultaneously, a random search method is used to determine the optimal parameters, shortening the sample training and identification time, and meeting the requirements for accuracy and timeliness in rail corrugation detection and monitoring.

The invention provides a non-circular signal spectrum sensing method based on a weighting decision coefficient, and belongs to the technical field of wireless communication, and the method comprises the steps: building an actual value composite signal matrix based on a complex value receiving signal, and calculating a composite sample covariance matrix; calculating a correlation coefficient based on the composite sample covariance matrix, and constructing a decision coefficient vector; estimating a parent mean value and a parent covariance of the decision coefficient vector to form an estimated mean value vector and an estimated covariance matrix; calculating a weight coefficient vector, and carrying out linear weighted fusion on the weight coefficient vector and the decision coefficient vector to construct a statistic; and calculating a sensing threshold value, comparing the sensing threshold value with the statistical magnitude, and determining a spectrum sensing result. According to the method, the composite covariance matrix for describing the second-order statistical characteristics of the non-circular signals is fully utilized, weight fusion is carried out on the decision coefficients with different intensities in combination with the weight coefficients driven by the data, and better sensing performance can be obtained.

This invention belongs to the field of geotechnical engineering testing technology, specifically relating to a method for determining the composite modulus of waste tire reinforced soil, aiming to solve the problem of data distortion in traditional testing. The method includes conducting uniaxial tensile tests on waste tires to obtain the tire tensile modulus for circumferential stress analysis. Waste tire-fill soil composite samples are prepared and subjected to unconfined compression tests. A linear variable differential displacement gauge is placed along the tire diameter direction to monitor the overall diameter change. Resistance strain gauges are attached to the inner wall of the tire to measure local circumferential strain. The readings of the resistance strain gauges are calibrated using the monitoring results of the linear variable differential displacement gauge to obtain calibrated circumferential strain data. Based on circumferential tension theory, the equivalent confining pressure increment provided by the tire to the filler soil is calculated from the obtained calibrated circumferential strain data. The obtained equivalent confining pressure increment is substituted into the relationship between the modulus of the filler soil and the confining pressure to calculate and determine the composite modulus of waste tire reinforced soil.

The present invention provides a method for identifying wireless signal modulation modes and signal types based on multi-task learning. The method constructs a satellite communication protocol and a modulation data set, wherein the satellite communication protocol and modulation data set include a plurality of composite sample data and label information for marking the composite sample data. Each composite sample data includes time-domain complex data and power spectrum density frequency-domain data, and the label information includes signal type and modulation mode. Based on the satellite communication protocol and modulation data set, a multi-task learning neural network model is trained. The baseband signal received by the radio frequency system is preprocessed to obtain a time-domain complex signal and a frequency-domain characteristic signal to be measured. These signals are transmitted to the pre-trained multi-task learning neural network model to obtain an identification result of the model output signal type and modulation mode. In this way, the present invention can reduce resource overhead while ensuring recognition accuracy, and is suitable for resource-constrained satellite scenarios.

The utility model discloses a new-old asphalt double-layer composite sample preparation device in a dynamic shear rheological test, which relates to the technical field of asphalt tests and comprises a base, and two moving plates are slidably arranged on the top surface of the middle of the base; a mold buckle is arranged on the movable plate; the movable plates are rotationally connected with the movable plates, when the two movable plates are in a horizontal state, the other ends of the two movable plates are connected, and when the two movable plates are in a vertical state, the positions of the molds on the two movable plates correspond to each other; a support is arranged on the base, and the dropping funnel is arranged on the support. According to the device disclosed by the utility model, when the movable plate is horizontally fixed, the thickness and the flatness of a sample are ensured by controlling the amount of asphalt dripped into the mold; when the movable plate is vertically attached to the movable plate, the movable plate is pushed through the handle, then the mold on the movable plate is driven to horizontally move along the sliding rail on the base, accurate sample overlapping is completed, it is guaranteed that the thickness of a test piece is accurate, the surface of the test piece is smooth and observable, and the device is simpler in structure.

The embodiment of the invention provides a thermophysical property measurement method and device for a composite phase change material and a storage medium, and relates to the technical field of testing. The device comprises a contrast sample measurement module, a composite sample measurement module, a temperature acquisition module and a data processing module, the control sample measurement module comprises a control sample fiber and a first thermoelectric module; the composite sample measurement module comprises a composite phase change sample fiber and a second thermoelectric module; the first thermoelectric module is used for heating a control sample fiber; the second thermoelectric module is used for heating the composite phase change sample fiber according to the phase change temperature range; the temperature acquisition module is used for acquiring composite temperature change data and contrast temperature change data; and the data processing module is used for generating a phase change thermophysical relationship diagram according to the composite temperature change data and the contrast temperature change data. According to the embodiment of the invention, the thermophysical property of the composite phase change material can be measured, and the measurement accuracy is improved.

Various implementations include a mold for forming composite samples for a pullout test. The mold includes a body having a first surface and a second surface spaced apart from the first surface. The first surface defines one or more slots and one or more channels. Each of the one or more channels has a longitudinal axis. At least one of the one or more channels intersects one of the one or more slots. Various other implementations include a method of forming a composite sample for a pullout test. The method includes providing a mold as described above; disposing a resin within one of the slots; disposing a fiber within at least one of the channels intersecting the one of the slots such that a portion of the fiber is disposed within the one of the slots; and causing the resin to cure.

The invention provides a composite material regenerated by waste and a preparation method thereof, and belongs to the technical field of environment-friendly composites.The preparation method specifically comprises the following steps that firstly, chitosan powder and waste printed circuit board nonmetal powder are mixed and stirred according to the mass ratio of (15-20): (30-60), and mixed powder to be treated is obtained; then at a preset temperature, a certain amount of hydrolyzed silane coupling agent is added into the to-be-treated mixed powder to be stirred, the to-be-treated mixed powder is subjected to surface treatment and preliminary crosslinking through the silane coupling agent, modified powder is obtained, and the mass ratio of the silane coupling agent to the to-be-treated mixed powder is (1.4-1.6): 100; mixing the modified powder, waste polypropylene particles and an antioxidant according to a mass ratio of (30-50): 200: 0.5, and stirring to obtain composite sample powder; and finally, carrying out extrusion granulation on the composite sample powder, and carrying out injection molding to prepare the composite material regenerated from wastes.

The invention belongs to the technical field of data processing, and provides a method and system for rapidly evaluating the carbon sequestration capability of a biochar composite material, and the method specifically comprises the following steps: carrying out field application on marked mineral composite biochar, and carrying out high-frequency real-time monitoring on the composite biochar to obtain the carbon content loss rate; the method comprises the following steps: measuring carbon content loss rate between measurement intervals, acquiring loss deviation according to the carbon content loss rate between the measurement intervals, comparing the loss deviation with a benchmark database to obtain loss mode fitting quality, selecting a reference sample for evaluating the carbon sequestration capability by taking the loss mode fitting quality as an evaluation standard, and outputting evaluation data. The method comprises the following steps: constructing loss mode fitting quality data of a sample in a time sequence dimension, and quickly quantifying the relative stability degree of carbon sequestration capability corresponding to carbon release kinetics in a biochar composite system on the premise of limited monitoring data flow, so that the greenhouse gas emission inhibition effect of the currently researched composite sample can be quantitatively evaluated; and the sampling frequency and the experiment cost required by traditional long-term sample burying analysis are reduced.

This invention belongs to the field of textile printing and dyeing technology, specifically relating to a method for testing the resin fastness of wrinkle-free yarn-dyed pure cotton fabrics for garments. The fabric to be tested is a white-based, dark-striped or dark-colored pure cotton fabric for wrinkle-free garments. The method includes the following steps: Sample preparation: Take the fabric to be tested and sew it into a sample to form a composite sample; Testing process: Place the composite sample in a stainless steel cup, add 20-25g of resin mixture and 80-100 stainless steel beads, and place it in a wash fastness testing machine, running it at 35-45℃ for 40-50 minutes; Rating: Remove the composite sample, rinse with room temperature water, air dry, and use the AATCC EP2 staining grey scale to rate the staining of the multi-fiber interlining. This invention realistically simulates the wrinkle-free resin rolling process, which is closer to actual production than traditional soap washing testing, and the judgment results are more reliable. Early screening before garment processing avoids rework and waste caused by unqualified finished products.

The invention belongs to the technical field of preparation of light metal plates, and particularly relates to a preparation method of a heterogeneous aluminum alloy composite plate. The method comprises the following steps: preheating an Al-Zr plate sample, dipping the Al-Si alloy in a semi-molten state, and cooling to obtain an Al-Zr-Si composite sample; the method comprises the following steps: preheating an Al-Zr-Si composite sample, dipping the Al-Mg-Si alloy in a semi-molten state, and cooling to obtain an Al-Zr-Si-Mg composite sample; and the Al-Zr-Si-Mg composite sample is pretreated and subjected to accumulative ply rolling, and the heterogeneous aluminum alloy composite board is obtained. The prepared heterogeneous aluminum alloy composite board is of a layered gradient heterostructure, the mechanical property layout of'toughness-strength-stronger 'from outside to inside is achieved, the bearing capacity of each layer is fully played, the best matching of strength and plasticity is achieved, and the performance requirements of shells of aerospace and electronic equipment are met.

This invention provides a method for predicting the mechanical parameters of composite materials. The elastic modulus and Poisson's ratio of polyetheretherketone (PEEK) samples are measured. Combined with the mechanical parameters of carbon fiber, the mechanical parameters of carbon fiber-reinforced PEEK composite materials are derived. The mechanical parameters of carbon fiber-reinforced PEEK composite samples are then measured, and the obtained elastic modulus, shear modulus, and Poisson's ratio are compared with the derived values ​​to verify their reliability and make corrections. Based on the technical solution of this invention, a prediction model for the crystallinity and mechanical properties of PEEK and carbon fiber-reinforced PEEK composites was established. The accuracy of the model was verified through DSC, tensile, and shear tests.

The invention provides a sample preparation method for a high-temperature confocal microscopy experiment, which comprises the following steps: machining a plurality of sample blanks into a specified size, arranging a plurality of primary samples in parallel, jointly embedding the primary samples into the same sample embedding material to form a composite sample embedding block body, and uniformly grinding and polishing the composite sample embedding block body; and cutting the polished composite mounting block into sheets with specified thickness by using a precision cutting machine, and separating and cleaning the sheet-shaped sample from the mounting material. According to the invention, the preparation process of a plurality of sample blanks is changed from traditional single treatment to batch treatment through embedding integration and then segmentation separation, so that the sample preparation efficiency and consistency are remarkably improved, meanwhile, the safety risk of handheld micro sample operation can be eliminated, and the preparation of a material high-temperature performance test sample is facilitated.

The application discloses a method for measuring the elastic modulus and Poisson's ratio of irregular rock, and belongs to the technical field of geotechnical engineering, and solves the problem that the existing rock mechanics characteristic evaluation technology needs to cut irregular rock samples, and destroys the structure and form of the rock samples. The application combines three-dimensional scanning technology, physical experiments and finite element numerical inversion, does not directly perform end face flattening treatment on original irregular rock samples which is difficult to realize, but uses a pouring material with known mechanical properties to encapsulate and pour the irregular rock samples, forms a composite sample which can be tested, measures the overall response of the composite sample under load, establishes a finite element numerical model which accurately corresponds to the composite sample, and finally inversely calculates the real elastic modulus and Poisson's ratio of the irregular rock through a multi-objective optimization algorithm.

The application relates to a method and device for evaluating the insulation-shielding matching property of a high-voltage alternating-current cable. The method comprises the following steps: obtaining a target insulation sample, and respective shielding samples and respective target composite samples corresponding to the target insulation sample; wherein the respective target composite samples are prepared by respectively compounding the target insulation material and the respective shielding materials; performing first performance tests on the target insulation sample and the respective shielding samples by using a first device to obtain first performance results; wherein the first performance tests at least include thermal expansion performance tests; performing second performance tests on the respective target composite samples by using a second device to obtain second performance results; wherein the second performance tests at least include breakdown performance tests; and selecting a target shielding material matched with the target insulation sample from the respective shielding materials according to the first performance results and the second performance results. The application can improve the accuracy of cable performance evaluation.

The present application provides a method for analyzing the leachability of minerals, which belongs to the field of process mineralogy. The method comprises the following steps: taking a sample to be tested, crushing it, enriching it, and selecting single mineral particles to obtain target mineral particles; applying epoxy resin glue to a sample preparation abrasive, adding target mineral particles, and subjecting it to curing and grinding to obtain a primary sample; cutting the primary sample, placing it with the grinding surface facing downwards on the bottom of the sample preparation abrasive along with three pieces of wear-resistant alloy, injecting epoxy resin glue to cure it to form a composite sample, performing a first automatic mineralogical analysis after fine grinding and polishing, and carbon spraying, and measuring the target mineral area; performing a leaching treatment after cleaning, and obtaining a treated sample; performing a second automatic mineralogical analysis after curing, fine grinding and polishing, and carbon spraying, and measuring the residual target mineral area and calculating the target mineral leachability index. The present application provides reliable technical support for the optimization of mineral processing technology and resource assessment, and is particularly suitable for the development of efficient leaching processes for precious metals, rare earths, and the like.

The disclosure herein provides a device, a method and a computer-readable storage medium for quantitative phase imaging, and relates to the field of quantitative phase imaging. The specific implementation scheme is: Obtain a multiplexed interferogram of the sample, where the multiplexed interferogram is a sample beam composed of at least two beams with different wavelengths to illuminate the sample and penetrate into the cube beam splitter Combine at least two beams with different wavelengths as the reference beam, and the combined beam is the imaging image sampled by the camera; and perform phase retrieval on the multiplexed interference image to obtain each beam of the sample in the composite sample beam The phase map at the wavelength of. Using the embodiments of the disclosure herein, one imaging acquisition and one phase retrieval are to acquire the phase maps of at least two wavelength channels.