857results about How to "High simulation" patented technology

The invention relates to the technical field of electric power short-term load prediction, in particular to an industrial park short-term load prediction method and system based on a Diffusion-Transform-AR model. Acquiring non-stationary historical load data and meteorological data of the industrial park, and performing missing value processing on the data; performing correlation analysis on the data by using the maximum information coefficient, selecting meteorological data with relatively high correlation, and reprocessing time data; performing time sequence decomposition on the load data by using a seasonal trend decomposition method to obtain trend term, seasonal term and residual term features; constructing a diffusion Transform prediction model, and taking the residual term, the meteorological data and the time data as input prediction residual; constructing an autoregression prediction model and taking the trend term as an input prediction trend; according to the method, the advantages of various models are combined, time sequence features are deeply mined, the prediction precision and the model generalization ability are effectively improved, and the method is suitable for complex industrial park load prediction scenes.

The invention discloses a complex terrain wind field numerical simulation method considering turbulence anisotropy, and the method comprises the steps: considering the turbulence anisotropy of an inflow boundary, and determining the condition type and parameters of the inflow boundary; acquiring ground roughness information of the complex terrain, and correcting a wall surface function; obtaining high-precision topographic data, determining a computational domain range, and generating a computational domain grid; on the basis of an inflow boundary turbulence retentivity principle and a leeward slope flow separation characteristic, a turbulence model closing coefficient is corrected; and the corrected linear pressure strain RSM model is adopted to simulate a complex terrain wind field value, and complex terrain wind field flow field information is obtained. According to the method, the inlet boundary and leeward slope turbulence anisotropy are considered, the wall function is corrected, meanwhile, the complex terrain modeling and grid generation mode is simplified, and the simulation precision is effectively improved.

The invention discloses a probe card simulation method and system based on counter-acting force analysis, which are used in the field of wafer simulation test, and the probe card simulation method comprises the following steps: integrating multiple physical field working conditions to construct a probe card geometric model, and importing the probe card geometric model into finite element simulation analysis software; carrying out grid division on the geometric model of the probe card by utilizing the hybrid voxel tree model, adjusting the grid density according to the distribution requirement of the multi-physical field, and setting a simulation boundary condition by utilizing a preset boundary condition template according to the actual simulation requirement; starting a simulation calculation process based on the adjusted grid density and simulated boundary conditions; and providing a visual interface of physical field distribution and a structural stress state in the simulation calculation process, and performing iterative optimization on the performance of the probe card in the simulation process according to a reactive force distribution result. According to the method, the grid density is automatically adjusted to adapt to changes of a physical field, and it is ensured that higher simulation precision is obtained in a key area.

The invention discloses a GIS field-electricity fusion real-time state sensing and early warning system and method. The system comprises a signal synchronous acquisition and measurement embedded device and an industrial personal computer, and a simulator, a position searcher and an early warning device are deployed in the industrial personal computer; when the embedded device monitors that the electromagnetic field signal in the GIS contains the partial discharge signal according to the strong correlation characteristics, obtaining a full time domain oscillogram containing a time domain oscillogram and a frequency domain oscillogram of the partial discharge signal; the simulator performs coarse positioning on the partial discharge source based on the full time domain oscillogram of GIS partial discharge, and performs simulation enhancement calculation by taking a coarse positioning result as an initial injection point to obtain simulation enhancement data of the partial discharge source; the position searcher carries out iterative search on the actually measured discharge intensity obtained through calculation according to the full-time-domain oscillogram and the simulation enhancement result, and the actual discharge position of the partial discharge source is obtained; the early warning device carries out early warning based on the time domain full waveform and early warning information including the actual discharge position of the partial discharge source.

The invention relates to a method and a system for realizing channel characteristic simulation of a wireless channel model of an unmanned ship based on an unmanned aerial vehicle. The method comprises the following steps: constructing the wireless channel model of the unmanned ship by the unmanned aerial vehicle; the unmanned ship wireless channel model comprises the steps of generating a channel impulse response, generating an unmanned aerial vehicle random track, generating an unmanned ship random track, generating an evaporation waveguide model, generating an evaporation waveguide model, generating small-scale parameters and updating the small-scale parameters; calculating channel statistical characteristics; the channel statistical characteristics comprise time delay power spectrum density, a space-time correlation function, a stationary interval and root-mean-square time delay extension. The method can better correspond to a track in a real environment, and the randomness of the track is realized.

The invention is suitable for the technical field of natural gas hydrate exploitation, and provides a multiphase seepage experiment simulation system for a hydrate decomposition process under low-temperature and high-pressure conditions. According to the invention, improvement is carried out on the basis of a traditional sedimentary layer seepage experiment system, firstly, an unsteady state water-driven gas process is introduced, so that the professional problem of relative permeability measurement in a hydrate decomposition process is solved; meanwhile, simulation of the hydrate depressurization decomposition process is added, the continuous evolution characteristics of the pore structure of the sedimentary layer in the hydrate depressurization decomposition process are accurately described, and the description deviation of the multi-phase seepage parameter dynamic evolution process in the process is eliminated; through the improvement, a more real permeability evolution model is constructed, and a solid theoretical basis and technical support are provided for a numerical simulation method of hydrate pilot production in China.

The invention discloses an inland typhoon long-distance extreme rainfall prediction method based on deep learning and integrated with an IDII index, a medium and a program product, and the method comprises the steps: constructing a whole-layer dry intrusion index, and comprehensively considering the overall effect of dry and cold air at different heights; historical TRP rainfall events, typhoons and reanalysis meteorological data are obtained, preprocessing is carried out, IDII indexes are fused, and a training data set is constructed; constructing a prediction model comprising a feature extraction layer, an IDII feature fusion layer and a TRP prediction output layer by adopting a deep learning technology; training, verifying and testing the model by using a TRP sample data set; and predicting a future TRP event by using the trained model, and outputting prediction results such as TRP precipitation, occurrence time, place and duration. According to the method, the dry intrusion physical quantity IDII and the deep learning technology are fused, the prediction precision of the TRP event is improved, and technical support is provided for forecasting of inland extreme rainfall and disaster prevention and reduction.

The invention discloses a stereo image quality evaluation method of a multi-task coder-decoder based on Transform, and belongs to the technical field of image quality evaluation. The invention provides a multi-task coding-decoding device network architecture based on Transform. The multi-task coding-decoding device network architecture takes image depth estimation as an auxiliary task; a feedback mechanism of a human visual system can be better simulated by adopting a coder-decoder network, the problems existing in left and right view feature extraction are solved, and an information processing process from a global state to a local state is realized; in addition, the global interaction capability of Transform and the local attention capability of CNN are combined to enhance image features, depth estimation is introduced as an auxiliary task, depth prior information with higher quality can be provided, cross-view parallax fusion based on Transform is guided, the problem existing in left and right view feature fusion is solved, and more accurate binocular features are obtained. And feedback compensation is carried out on multi-level binocular feature fusion by using an attention mechanism to obtain a final pixel-level quality map, so that the image quality is accurately evaluated, a research scheme is provided for a deep learning method for non-reference stereo image quality evaluation, and the development of a visual task is effectively promoted.

The invention provides a method and a device for generating a multiphase flow-containing solid rock three-dimensional model based on a diffusion model, and a medium, and can solve the problems that a multiphase pore and a rock skeleton structure cannot be generated at the same time and only a single-phase structure or a pure skeleton image can be reconstructed in the prior art. According to the method, the watershed algorithm is introduced to accurately segment the multiphase features, Gaussian noise is used as diffusion model input, and the model gradually learns' de-noising 'from the noise to obtain a real and complex multiphase rock image in training, so that a high-fidelity multiphase distributed rock internal image can be obtained only by inputting random noise in an inference stage.

The invention, which relates to the technical field of fire safety, discloses a variable-angle solar panel heating test system comprising a sample loading and observation mechanism, a fire performance analysis mechanism and a radiation heating mechanism. The sample loading and observing mechanism is used for fixing samples with different sizes, adjusting the height and angle of the samples and observing and measuring sample data; the fire hazard performance analysis mechanism is located above the sample loading and observation mechanism and is used for collecting and analyzing smoke and mass loss generated by the heated sample and outputting fire hazard key parameters; the radiation heating mechanism is positioned in front of the sample loading and observing mechanism and is used for providing a real-time heat source for the sample. The device can test the change of the fire performance of the sample under the action of uniform and non-uniform external heat sources in real time, can conveniently switch the heating angle, the heating area, the size and the thickness of the sample, synchronously observes the crack diffusion process, and has the advantages of simple structure, convenience in operation and the like.

The invention discloses a three-dimensional embossment type ceramic tile and a preparation method thereof, the three-dimensional embossment type ceramic tile sequentially comprises a base layer, a ground coat layer, a three-dimensional layer, a glaze layer and a polishing layer from bottom to top, the base layer is located at the bottom layer of the ceramic tile and has a thickness of 8-10mm, the ground coat layer is formed by applying ground coat on the base layer and has a thickness of 0.5-1mm, and the three-dimensional layer is located at the bottom layer of the ceramic tile and has a thickness of 0.5-1mm. The three-dimensional layer is a pattern layer formed after ink-jet printing is carried out on the ground glaze layer, the thickness of the pattern layer is 1.5-2.5 mm, the glaze surface layer is formed after overglaze is applied to the three-dimensional layer, the thickness of the glaze surface layer is 0.4-0.8 mm, and the polishing layer is formed after polishing treatment is carried out on the glaze surface layer. According to the three-dimensional embossment type ceramic tile, the ultra-white ground glaze, the multi-layer ink-jet printing three-dimensional layer and the cover glaze layer are combined by adopting multi-layer laminated glaze, so that the three-dimensional embossment type ceramic tile can clearly embody the texture and texture of raw stone, has better visual impact force and artistic expressive force, and improves the three-dimensional effect and artistic ornamental value of the ceramic tile; the requirements of the market on high-end decorative ceramic tiles are met.

The invention provides a digital rock core three-dimensional reconstruction method containing pore and mineral distribution, and relates to the field of oil-gas exploration and development. The three-dimensional reconstruction method of the digital rock core containing pore and mineral distribution comprises the following steps: (1) marking positioning information on a sample; (2) acquiring pore three-dimensional information of the rock core sample; (3) obtaining a mineral analysis cross section; (4) carrying out QEMSCAN quantitative analysis; and (5) establishing a three-dimensional mineral model. According to the method, a multi-element three-dimensional mineral model of pore and mineral distribution is established, so that reservoir characterization and rock parameter simulation are better carried out, and a basis is provided for later reservoir evaluation and favorable exploration area selection.

The invention belongs to the technical field of environmental science, and provides an ozone forecasting method based on multi-dimensional meteorological factors and variables, which comprises the following steps: S1, collecting and sorting the multi-dimensional meteorological factors, and calculating change variables of each element; s2, taking all processed multi-dimensional meteorological factors as forecast factors, and carrying out standardization processing; s3, screening all processed forecasting factors by adopting a stepwise regression method to obtain an optimal forecasting factor combination; s4, performing model training on historical data by adopting a multi-layer perceptron machine learning method according to the screened forecast factors; s5, checking and evaluating the trained perceptron learning model, and comparing and evaluating the trained perceptron learning model with a linear regression model and a radial basis function model; s6, predicting the ozone pollution process in different time periods and different weather backgrounds; according to the invention, the accuracy and timeliness of ozone forecasting can be obviously improved, and more reliable data support is provided for weather and environment management departments.

The invention relates to the technical field of biological tissue engineering, and discloses a nerve-blood brain barrier co-culture model, which comprises a culture chip, and nerves and blood brain barriers respectively constructed in upper culture micropores and lower culture micropores of the culture chip. Wherein a semi-permeable membrane is arranged between the lower-layer culture micropores and the upper-layer culture micropores of the culture chip; the nerves are obtained by inoculating neurons / brain organs obtained by stem cell differentiation into the upper culture micropores for co-culture, and the blood brain barrier is obtained by inoculating brain microvascular endothelial cells obtained by stem cell differentiation into one side of the semipermeable membrane in the lower culture micropores for co-culture. The co-culture model is higher in biomimetic property, and can better simulate the structure and function of the blood brain barrier, for example, the co-culture model has a barrier function closer to the physiological level, the selective permeability of a small molecule drug is matched with the in-vivo permeation condition, and the co-culture model has the function of a small molecule related transporter. The invention further discloses a construction method and application.

The invention relates to the technical field of geological exploration, in particular to a transient electromagnetic three-dimensional inversion method with an induced polarization effect. Arranging a square wireframe and setting a receiving point to obtain electromagnetic data containing the induced polarization effect in the to-be-explored area; establishing an initial parameter model of transient electromagnetic three-dimensional inversion containing the induced polarization effect; establishing a description equation for the induced polarization effect in the three-dimensional transient electromagnetism by using a Cole-Cole model; performing time discretization on the description equation by adopting a Caputo operator, and establishing a three-dimensional forward modeling equation in combination with a vector finite element method; constructing a transient electromagnetic three-dimensional inversion objective function containing the induced polarization effect; carrying out accompanying forward modeling calculation according to the three-dimensional forward modeling equation, and obtaining a gradient construction inversion equation of the transient electromagnetic three-dimensional inversion objective function; and transient electromagnetic three-dimensional inversion containing the induced polarization effect is carried out according to the electromagnetic data, the inversion equation and the initial parameter model. According to the method, the mineral products containing the induced polarization effect can be effectively identified and subjected to inversion interpretation.

The invention discloses lithium battery safety performance detection equipment, and relates to the technical field of detection equipment. A fixing mechanism is arranged above the rotating plate, a vibrating mechanism is arranged between the fixing mechanism and the rotating plate, a supporting frame is fixedly connected to the upper end of the workbench, a sealing cover is arranged on the inner side of the supporting frame, an impacting mechanism is arranged on the rear side of the sealing cover, and an air blower, a heater and a refrigerating mechanism are arranged below the workbench. The equipment integrates a plurality of testing functions such as rotation, vibration, falling and impact, can comprehensively evaluate the safety performance of the lithium battery under various extreme conditions, and improves the testing efficiency and accuracy; in the fixing mechanism, clamping plates on the two sides are matched to clamp and fix the lithium battery, and the distance between the two clamping plates is adjustable, so that different types of batteries can be tested conveniently. And by adopting the design of the sealing cover, the fixing mechanism and the like, the stability and the safety of the lithium battery in the testing process are ensured, and the pollution and the damage to the surrounding environment in the testing process are prevented at the same time.

The invention belongs to the technical field of image processing, and particularly relates to a remote sensing image super-resolution reconstruction method based on a degradation mechanism. Comprising the following steps: S1, constructing a degradation model, inputting a high-resolution remote sensing image into the degradation model, and obtaining a degraded image corresponding to the high-resolution remote sensing image; s2, constructing a super-resolution network, and inputting the degraded image into the super-resolution network to obtain a reconstructed image; s3, training the super-resolution network by using the joint loss function to obtain a trained super-resolution network; and S4, inputting a degraded image to be reconstructed into the trained super-resolution network to obtain a reconstructed super-resolution image. According to the method, the resolution of the remote sensing image is improved, the quality and processing efficiency of the image are remarkably improved, and the method has high practical application value.

The invention discloses a numerical analysis method for predicting speed distribution of downwash airflow of an unmanned aerial vehicle in a rice canopy based on a fluid-solid coupling method. The numerical analysis method comprises the following steps: measuring physical parameters of rice plants based on physiological characteristics of rice; establishing a three-dimensional rice plant model based on three-dimensional geometric modeling software; dividing a three-dimensional rice plant canopy grid based on grid division software; establishing a fluid-solid coupling model of the lower washing flow field of the unmanned aerial vehicle and the rice canopy; setting an initial boundary condition and performing spatial discretization; full-coupling finite element numerical simulation of the fluid-solid coupling model is carried out; performing post-processing on the numerical simulation result based on flow field post-processing software to obtain an evolution process and spatial distribution of the downward washing flow field of the unmanned aerial vehicle and dynamic behaviors of rice plants; and analyzing the influence of the dynamic behavior of the rice plant on the downwash airflow of the unmanned aerial vehicle, and determining the distribution rule of the downwash airflow speed in the rice canopy. The problems of high time consumption, influence of external conditions, difficulty in copying, limitation and the like are effectively solved.

The invention discloses a method based on combination of a Voigt function and a deep neural network, which is used for reconstructing a Raman spectrum of a deep substance, solves the technical problems of complicated implementation process and higher implementation threshold in the prior art, and specifically comprises the following steps: step 1, generating a training data set; 2, training a deep neural network to obtain a Raman spectrum reconstruction model; step 3, collecting a spatial offset Raman spectrum of the double-layer sample; and step 4, carrying out baseline correction processing on the collected Raman spectrums to obtain corrected Raman spectrums, splicing the corrected Raman spectrums into input data, and inputting the input data into the Raman spectrum reconstruction model to obtain reconstructed pure Raman spectrums. The method is high in adaptability and simple in operation step, and can be used for automatically processing the Raman spectrum and eliminating the spectrum peak interference of the packaging material, so that the pure Raman spectrum of the deep sample can be quickly, simply and conveniently obtained.

The invention provides a digital human driving method, device, system and equipment, a program product and a medium, and relates to the technical field of digital human. The method comprises the steps that according to an obtained instruction, a driving mode corresponding to a target digital human is switched into a target driving mode, different driving modes support different driving modes, and the driving modes comprise a face driving mode and / or a limb driving mode; and driving the target digital person according to the target driving mode. According to the scheme, the problem that a digital human driving method in the related technology does not support digital human driving mode switching is solved.

The invention discloses a hardness testing device for cured resin for dental implant molding, and relates to the technical field of resin hardness testing. Comprising a test installation part, a driving butt joint part is installed on the test installation part, and a closed butt joint part is installed on the test installation part; the closed butt joint piece is used for driving the butt joint piece in a negative pressure suction mode. The interior of the driving butt joint piece is used for injecting resin; an adhesive force detection piece is mounted on the test mounting piece; the adhesive force detection piece is used for upwards moving and jacking the cured resin; a middle curing test piece is mounted on the adhesive force detection piece; the grinding control piece can be used for grinding the surface of the resin when the hardness of the resin is detected, so that the detection surface of the resin is vertical to the hardness detection ejector pin, and the accuracy of a detection value is ensured; the problem that an existing cured resin hardness testing device for tooth implantation forming is inconvenient to automatically control a hardness needle to be perpendicular to a resin detection surface during resin hardness detection is solved.

The invention discloses a low-age face aging method based on age and key point guide generation, and mainly solves the problems that in the prior art, a high-quality aging image cannot be generated for a low-age face, and the high efficiency of a processing flow and the accuracy of a target cannot be kept at the same time. According to the implementation scheme, the method comprises the following steps: constructing a training set and a test set of 0-20-year-old face images, and endowing each image with a corresponding age label; key point detection is carried out on the training set, and a detection result is converted into a Gaussian distribution diagram; constructing a face image generative adversarial network generated based on key point information guidance and loop conditions; designing continuous age conversion loss and constructing network overall loss; training the network through the training set and the Gaussian distribution diagram until the total loss is converged; and loading the test set into the trained network to generate face images of all age stages. According to the method, the aged image with higher quality can be generated for the low-age face, and the naturalness of the generated image is improved.

The invention relates to a modeling method and device for a lithium ion battery multi-physics field aging coupling model, and relates to the technical field of lithium ion batteries. The method comprises the following steps: obtaining a pre-constructed equivalent circuit model, and obtaining a pre-constructed evolution model of solid electrolyte interfacial film growth; the equivalent circuit model is coupled with the evolution model of solid electrolyte interfacial film growth, and a lithium ion battery multi-physical field aging coupling model is constructed; and on the basis of the test data corresponding to the lithium ion battery, calibrating various parameters in the lithium ion battery multi-physics field aging coupling model to obtain a calibrated aging coupling model. By adopting the method, the simulation and prediction effects of the aging model of the battery in a simulation experiment can be improved.

The invention discloses a pipeline air column transient flow simulation method and system, and relates to the technical field of numerical simulation calculation, and the method comprises the steps: carrying out the equal interval division of a target pipeline according to a predetermined interval, and constructing a pipeline model of a plurality of nodes; different states of fluid in the pipeline are distinguished, and flow and pressure of pipeline nodes under different conditions are calculated through a control algorithm to predict behaviors of the fluid in the pipeline; and analyzing and calculating pipeline target data in future set time according to the constructed pipeline model and fluid behaviors in the pipeline, and performing pipeline gas column transient flow simulation. According to the method, the transient flow problem of the pipeline gas column can be well simulated by considering the gas thermodynamic characteristics, the precision of numerical simulation can be improved by combining a gas thermodynamic characteristic mechanism, possible engineering hidden dangers can be predicted and pre-judged in advance in an engineering design stage, and the safety of engineering design of a water delivery system is improved.

The invention belongs to the technical field of seepage tests, and relates to a seepage test device and method for a concrete and bedrock cementation surface under a seepage corrosion condition, the device comprises axial loading devices, a water sealing device is arranged between the axial loading devices, a sample is arranged in the water sealing device, a tensile stress loading device is arranged on the side surface of the sample, and the tensile stress loading device is arranged on the side surface of the sample. The upper end and the lower end of the water sealing device are connected with a water seepage measuring system through water pipes, the water seepage measuring system is connected with a seepage water pressure loading device, and the seepage water pressure loading device, the tensile stress loading device and the axial loading device are electrically connected with the upper computer; the permeation water pressure loading device accurately controls water pressure and can provide high and low water pressure loading environments, and the water sealing device solves the problems that a conventional cement-based material corrosion device cannot seal high water pressure and cannot develop permeation corrosion characteristics of a concrete-bedrock interface under the action of different hydraulic gradients.

The invention discloses a detection device for a sensor in an electromagnetic environment, and belongs to the technical field of sensor detection. A detection device for a sensor in an electromagnetic environment comprises a detector with a jack at the top, and further comprises a shielding case with an opening at the lower end, the shielding case is installed at the top of the detector, the jack is located at the inner bottom of the shielding case, a lifting device is fixedly installed on the detector, and the lifting device is connected with the shielding case. The telescopic end of the lifting equipment is fixedly connected with a mounting frame, and the shielding cover is fixedly mounted on the mounting frame; the vertical shaft is mounted at the inner top of the detector, a plurality of vertical rods distributed circumferentially are mounted on the outer wall of the vertical shaft, coils are fixedly wound on the outer walls of the vertical rods, and a driving part for driving the vertical shaft to rotate is arranged on the shielding cover; according to the invention, a dynamic electromagnetic environment can be simulated, so that the detection of the sensor is more accurate.

The invention relates to the related technical field of primary cell (PDC) culture, in particular to a method for culturing primary cells (PDC) from glioma patients, which comprises a series of steps of Swis3T3-J2 cell culture, conditioned medium preparation, brain tumor tissue pretreatment, primary tumor cell digestion and culture and the like. Primary human tumor cells are cultured by a conditioned culture medium generated by fibroblasts irradiated by X-rays (X) and a cobalt-60 radioactive source (60Co), and culture conditions of key features of parent tumors and a modeling process can be most effectively reserved by screening and optimizing the culture conditions. And whether the PDC retains the key characteristics of the parent tumor or not is inspected on the aspects of the cell molecular level, the cell phenotype, the animal intracranial tumor model and the like.

The invention relates to the technical field of medical instruments, in particular to a multi-layer ultra-light hernia patch which comprises a large-mesh electrostatic spinning tissue ingrowth layer, a mesh woven base material layer and an anti-adhesion layer which are sequentially connected in a stacked mode. Wherein after the large-mesh electrostatic spinning tissue ingrowth layer is implanted into a human body, a cell microenvironment can be better simulated, cell adhesion, differentiation and migration are facilitated, uniform distribution of newborn cells in the fiber direction of an electrospinning membrane is promoted, granulation tissues uniformly ingrow in a defect part, and the electrospinning fiber membrane and the tissues are cooperatively repaired; secondly, the middle layer can provide supporting performance and mechanical performance of the patch in the early stage for the patch, the defects of the electrospinning fiber membrane in the supporting performance and the mechanical performance are overcome, the long-term implantation amount of the patch after later degradation is greatly reduced, and the foreign body sensation is obviously reduced; the anti-adhesion layer also adopts the electrostatic spinning technology, and the anti-adhesion effect is achieved by selecting materials and regulating and controlling the porosity, the aperture and the fiber diameter of the electrospun fiber membrane.

The invention relates to the technical field of dome-screen cinema, in particular to a multi-dimensional sensing maneuvering control method and system for a dome-screen track cinema. According to the control method, the playing environment and the body state of the movie viewer are detected in real time, the maneuvering device further controls the maneuvering units to make adaptive actions, then the movie watching state of the movie viewer can be better fit, and the movie watching experience of the movie viewer can be greatly improved.

The invention discloses a construction method and application of thymus organoid, and the method comprises the following steps: differentiating pluripotent stem cells into thymus organoid under a suspension culture condition through combined and matched use of small molecule compounds and small molecule proteins, according to the method disclosed by the invention, the thymus organoid of which the structure and the function are closer to those of natural thymus can be efficiently obtained.