1848 results about "Visualization methods" patented technology

The invention provides a news scene three-dimensional reconstruction and visualization method based on multi-source remote sensing data, and relates to the technical field of three-dimensional reconstruction, and the method comprises the steps: extracting multi-modal data feature points through employing a spatial position weighted iterative nearest point algorithm and a tensor projection algorithm; after bidirectional attention deep neural network processing and local geometric consistency constraint screening, registration multi-source remote sensing data is generated, data enhancement is carried out through a variational auto-encoder network and a generative adversarial network, the enhanced data is used for depth information generation and texture feature migration, an initial three-dimensional grid model is generated based on a Poisson reconstruction algorithm, and the initial three-dimensional grid model is constructed; and carrying out topological optimization by combining multi-view projection consistency constraint and a grid optimization algorithm to obtain an optimized three-dimensional scene model, setting a space division function, carrying out space division, constructing a grade model and a depth region, generating a scene semantic segmentation map, and updating a visual scene.

The invention relates to the field of transportation visualization, in particular to a cold chain cargo transportation management visualization method and system. The method comprises the following steps of collecting cold chain cargo state parameters, performing cargo quality trend evaluation, and generating state data streams of a plurality of cargoes; performing dynamic positioning and tracking on the cold-chain transport vehicle, performing space-time mapping processing according to the state data flow, and constructing a real-time tracking trajectory flow; performing future aging deviation prediction on the real-time tracking trajectory flow to generate an aging deviation prediction result; carrying out transportation risk comprehensive assessment according to the aging deviation prediction result, and generating a transportation risk assessment report; and carrying out path planning calculation and client notification pushing according to the transportation risk assessment report so as to execute intelligent transportation management. According to the invention, the transportation energy consumption and time cost are reduced, the resource allocation efficiency is improved, and the cargo real-time tracking visualization effect is improved.

The invention relates to the field of building information management and construction progress visualization, in particular to a curtain wall construction progress visualization method and system based on a BIM model, and the method comprises the steps: obtaining the three-dimensional position information and installation state data of a curtain wall unit plate in real time through a sensor and an image collection device, and comparing the three-dimensional position information and installation state data with BIM integrated data, generating and updating a digital twinborn model; analyzing the construction data by using an artificial intelligence model, detecting a construction deviation and generating a construction adjustment suggestion; an optimal path is calculated through a construction path optimization algorithm, construction data are integrated to generate visual feedback, and the construction progress, the installation state and deviation information are displayed in real time through a visual engine, so that the construction monitoring and management efficiency is remarkably improved.

The invention discloses an urban building three-dimensional automatic modeling and visualization method, and belongs to the technical field of building three-dimensional modeling. The method comprises the steps that point cloud data, high-resolution images and geographic information system data of urban buildings are acquired, data cleaning, registration and alignment are carried out, and preliminary building digital representation is formed; accurately segmenting each building, and identifying the contour and main structural features of the building; based on the data integrity and the building complexity, adaptively selecting a proper reconstruction strategy to carry out three-dimensional reconstruction; in the reconstruction process, the geometric structure is analyzed and optimized in real time, and potential topological problems are repaired; automatically generating missing details based on a predefined architectural style library and a component library, and performing material inference and texture mapping; a graph structure is used for representing the relation between the buildings, and the positions and orientations of the buildings are adjusted through a global optimization algorithm; a rendering engine supporting multi-level detail switching is developed, and smooth visualization and interaction of a large-scale city scene are achieved.

The invention relates to the technical field of production scheduling, and discloses a production scheduling visualization method based on big data. According to the method, multi-dimensional production data such as equipment real-time states, material inventory, personnel skills and order delivery periods are collected, and a four-dimensional dynamic constraint model is generated through a dynamic constraint modeling algorithm; and obtaining an initial scheduling scheme by using a mixed integer programming and improved genetic algorithm dual-drive optimization engine, inputting the initial scheduling scheme into a visual interaction module, displaying a result by using a drag-and-drop Gantt chart, and detecting resource conflicts in real time. The feasibility of the adjusted scheduling scheme is verified through a dynamic re-calculation algorithm, and then the model is updated. According to the method, multi-dimensional data are integrated, production scheduling optimization and visualization are realized, production resource conflicts can be effectively solved, the production efficiency is improved, the cost is reduced, and an efficient solution is provided for enterprise production management.

The invention relates to the field of commodity visualization, in particular to a commodity display interaction visualization method and device. The method comprises the following steps: collecting a multi-azimuth image of a commodity, carrying out three-dimensional texture modeling, and constructing a three-dimensional texture mapping model; performing material light rendering on the three-dimensional texture mapping model to generate a material rendering result; collecting an environment detection image of a commodity display environment, and performing environment illumination adaptation compensation on a material rendering result to obtain an illumination compensation rendering commodity; carrying out attribute information visual layout on the illumination compensation rendering commodity to obtain a commodity visual space; and carrying out interaction response animation analysis according to the commodity visualization space, carrying out multi-target parallel rendering, and executing commodity interaction visualization operation. The form and surface details of the commodity in the real world are accurately restored, the visual reality sense is improved, and the interactive experience feeling of browsing the commodity by a user is enhanced.

The invention discloses an energy management three-dimensional visualization method and system based on digital twin and Internet of Things, and relates to the technical field of energy management visualization, and the method comprises the steps: obtaining multi-source heterogeneous energy data of an energy management object; constructing a virtual mirror image model corresponding to the physical energy system based on the multi-source heterogeneous energy data and the digital twin model; generating a three-dimensional visual scene based on the virtual mirror image model so as to map the geographic position distribution of the physical energy system, and presenting the real-time energy consumption state, the energy flow transmission path and the environmental parameter change of the equipment; receiving a user interaction instruction, carrying out interaction operation on the target area or equipment, calling the associated multi-source heterogeneous energy data, and carrying out superposition display on the associated multi-source heterogeneous energy data; energy consumption abnormity early warning information or an equipment regulation and control strategy is generated in combination with the energy management optimization rule, and the equipment regulation and control strategy is input into the physical energy system to be executed. The invention provides an energy management method capable of realizing multi-source data fusion and accurate mapping of a physical system.

The invention relates to the technical field of financial data analysis, in particular to a financial statement multi-dimensional incidence relation visual display method which comprises the following steps: extracting subject codes, amount values and business dimension labels, and generating a standardized financial data set with timestamps; generating an initial edge set based on a preset subject association rule base, endowing each edge with a weight value reflecting the sensitivity of a service scene through a dynamic weight calculation module, and forming a multi-dimensional association network with a weight label; identifying a cross-level association path through a path traversal algorithm, and generating a recessive relationship set including a path intensity index; and dynamically and visually displaying. According to the method, the fusion expression capability of the complex financial flow is enhanced, and a clear data basic support is provided for subsequent multi-dimensional modeling and analysis.

The invention relates to the technical field of mine visualization, in particular to a three-dimensional visualization method and system for a mine. The method comprises the following steps: establishing a three-dimensional terrain model of a mine; designing exploration planning space distribution parameters based on the three-dimensional terrain model of the mine, and executing exploration drilling operation through the exploration planning space distribution parameters; mine point rock stratum lithology data are collected according to exploration drilling operation; mapping the mine point location rock stratum lithology data to the mine three-dimensional terrain model to obtain optimized mine point location rock stratum lithology mapping data; analyzing mine rock stratum boundary structure data and rock stratum lithology fusion characteristic data according to the optimized mine point location rock stratum lithology mapping data, and performing mine rock stratum lithology structure analysis to generate mine rock stratum lithology structure data; and based on the lithologic structure data of the mine rock stratum, lithologic fusion differentiation rendering three-dimensional modeling of the mine rock stratum is carried out, and a three-dimensional visual rendering model of the mine rock stratum is generated. According to the invention, accurate visual analysis of the internal structure of the mine is realized.

The invention relates to the field of playing data visualization, in particular to a playing data visualization method and system. The method comprises the steps that at least one section of pedal data of at least one pedal is obtained, and the pedal data comprises a pedal value and a time stamp of the pedal value; generating at least one section of labeling track according to the pedal data; wherein the labeling track comprises a first simulation track and a second simulation track; correspondingly, the method comprises the steps that when the pedal value is larger than a first pedal threshold value, a first simulation track is generated according to the pedal value, and the first simulation track is displayed in a first labeling form; when the pedal value is larger than a second pedal threshold value and smaller than or equal to the first pedal threshold value, a second simulation track is generated according to the pedal value, and the second simulation track is displayed in a second labeling form; and generating a combined track according to the at least one section of labeled track, and displaying the combined track on the music score. According to the invention, the smoothness and integrity of pedal data display can be improved, and the user experience is optimized.

The invention belongs to the technical field of network security, and relates to a network attack behavior chain construction and active defense method and device and computer equipment, and the method comprises the steps: collecting full-flow data and a multi-source log from a network environment, and carrying out the preprocessing of the full-flow data and the multi-source log; storing the preprocessed full-flow data and multi-source logs, and establishing an associated index; through a deep learning algorithm and an unsupervised model, abnormal traffic and attack behaviors are identified from the full-traffic data and the multi-source logs; reconstructing the fragmented attack events into a complete behavior chain through a graph neural network and a visualization mode; based on the AI model, a dynamic defense strategy is generated, and a response action is automatically executed; through time sequence prediction and a deep learning model, a future attack trend is predicted, and active defense is realized. The method improves the unknown attack detection capability, optimizes the traceability efficiency, enhances the defense initiative, guarantees the real-time performance and accuracy of network attack prediction, and has compliance adaptability.

The invention relates to a visualization method of an electronic medical record system and a visual medical record system. The method comprises the following steps: constructing a system main page; providing entry options, basic information corresponding to the patient, chief complaint information and current medical history information in the navigation bar area; loading and displaying the three-dimensional human body model in the three-dimensional human body model display area; in response to analysis of the electronic medical record information of the patient, automatically identifying and extracting lesion part information described in the medical record information; performing visual labeling on the mapped diseased region on the three-dimensional human body model; setting human body system options in the three-dimensional human body model display area; and in response to the operation that the mouse of the user hovers on the lesion part label on the three-dimensional human body model, displaying an examination result and abnormal index information related to the lesion part. According to the invention, the defects of an existing electronic medical record system in the aspects of information acquisition efficiency, spatial information presentation and information interaction modes can be effectively overcome, and the readability of medical record information and the diagnosis and treatment efficiency of doctors are remarkably improved.

The invention relates to the technical field of data visualization, in particular to an earthquake emergency information rapid visualization method and system. The method comprises the following steps: acquiring earthquake monitoring real-time data; based on earthquake monitoring real-time data grid division, earthquake region population density distribution and key facility positions are generated, and an earthquake region sensitivity matrix is generated; dynamically simulating a seismic wave propagation process based on the seismic monitoring real-time data and the seismic region sensitivity matrix, and generating fluctuation propagation time sequence data; and identifying epicenter topography and landform vector data of the earthquake monitoring real-time data, and respectively evaluating topographic relief and geological stability to obtain earthquake topographic relief index data and earthquake geological stability score data. According to the invention, rapid and accurate assessment and visualization of earthquake damage distribution are realized through a data visualization technology, so that the earthquake emergency response efficiency and the disaster rescue decision scientificity are improved.

The invention relates to a coal mining safety prediction visualization method and system, and the method comprises the steps: determining a sensor deployment scheme based on mine geological structure information and operation environment characteristics; collecting multi-modal monitoring data according to the sensor deployment scheme, and generating a fusion data set of time-space alignment; extracting corresponding spatio-temporal features, and generating a corresponding risk assessment matrix based on the spatio-temporal features; constructing a four-dimensional tensor field containing a time dimension, and generating a dynamic risk visual image based on the four-dimensional tensor field; in the dynamic risk visual image generation process, receiving a feedback instruction input by an expert, and updating the coal mine safety domain knowledge graph by adopting a fuzzy cognitive mapping mode based on the feedback instruction; and optimizing the space-time convolutional network, updating the dynamic risk visualization image, obtaining an updated risk visualization image result, and executing hierarchical early warning processing. According to the method, the richness and accuracy of coal mining safety prediction visualization can be improved.

The present invention relates to the technical field of digital twin, and in particular to a private network park digital twin visualization method, apparatus and device, and a computer storage medium. Disclosed in the present application is a private network park digital twin visualization method, comprising: using a clustering algorithm to classify ground objects in a remote sensing image of a park, dividing grids on the basis of formed pixel clusters, and calculating dilution ratios thereof; mapping grid data and point cloud data into a unified coordinate system, and using the clustering algorithm to cluster the point cloud data in each grid; sampling each point cloud cluster on the basis of the dilution ratio of the corresponding grid, and finding out non-edge points by means of a BoundED algorithm; on the basis of the proportion of the non-edge points in each point cloud cluster, calculating an initial dilution threshold of each point cloud cluster; and, after each point cloud cluster has been diluted, rendering and presenting same by means of a three-dimensional rendering engine and returning a rendering frame number and, if the rendering frame number meets a preset condition, ending the process.

The invention relates to the technical field of position tracking, in particular to an intelligent bracelet real-time position tracking visualization method and system. The method comprises the following steps: acquiring multi-dimensional sensing monitoring parameters of a user based on a smart bracelet, performing real-time motion state evaluation of the user, and performing adaptive adjustment of a position acquisition frequency to generate an adaptive position acquisition frequency; performing real-time position positioning acquisition based on the adaptive position acquisition frequency, and performing frequency-by-frequency spatial position positioning calculation to obtain a high-precision compensation reconstruction trajectory; the method comprises the following steps: acquiring public electronic map information, performing scene key element identification, and performing key attribute cognitive marking to obtain a plurality of scene attribute memory anchor points; and performing relative position distribution analysis on the high-precision compensation reconstruction trajectory based on a plurality of scene attribute memory anchor points, and constructing an anchor point space trajectory visual mapping graph. According to the invention, high-precision real-time position tracking of the user is realized, and clear and visual multi-level map information rendering is presented.

The invention discloses a high-precision three-dimensional point cloud visualization method, electronic equipment and a storage medium, and belongs to the technical field of geographic space information systems.The high-precision three-dimensional point cloud visualization method comprises the steps that S1, a point cloud file is input, and meta-information of the point cloud file is obtained; s2, performing scalable data geographic gridding processing on the point cloud file meta-information to obtain a basic grid object; s3, adopting a data stratified sampling method to obtain a multi-level grid object; s4, constructing a multi-level index file based on the multi-level grid, and outputting the multi-level index file; s5, performing high-availability, high-concurrency and compression processing on the output multi-level index file; and S6, performing real-time hierarchical scheduling rendering on the point cloud based on the processed multi-level index file. A point cloud is quickly split into small blocks by using a gridding technology, then parallel processing is performed, a hierarchical rendering level is generated by performing sub-sampling on a whole data set from bottom to top by using a plurality of sampling strategies, and meanwhile, a quick layering strategy is introduced, so that the throughput is remarkably improved.

The invention relates to the technical field of clinical medical data visualization, in particular to a visualization system for clinical internal medicine and a visualization method thereof. The method comprises the following steps: acquiring basic information of a clinical patient; according to the basic information of the clinical patient, performing medical treatment and medication event analysis, and performing triple entity relationship processing to generate patient medical record relationship map data; performing patient drug tolerance analysis based on the patient medical record relation map data to generate patient drug tolerance characteristic data; performing clinical physiological index risk probabilistic reasoning according to the drug tolerance characteristic data of the patient to generate individual clinical medication risk data; according to the individual clinical medication risk data, individual characteristic medicine dosage adjustment is carried out, medicine dosage curve visual dynamic display is carried out, and visual clinical medication response data is generated. According to the method, personalized and visual medication decision support is provided for clinicians through patient medication conditions and real-time physiological index analysis.

The invention provides a boiler combustion state visualization method, which comprises the steps of embedding a plurality of thermocouple temperature sensors in gaps of refractory bricks on the inner wall of a boiler hearth, acquiring temperature data of the hearth at different depths in real time, and transmitting the temperature data to a data acquisition terminal through a wireless communication module; fitting the normalized temperature data matrix by adopting a three-dimensional thin-plate spline interpolation algorithm to generate a hearth three-dimensional real-time temperature distribution model, performing mesh generation on the three-dimensional temperature distribution model by combining hearth geometric structure parameters obtained from computer aided design software, and constructing a hearth temperature finite element model; the hearth temperature finite element model is imported into ANSYS finite element analysis software, hearth wall surface material attributes and combustion heat load boundary condition parameters are set, transient thermal analysis of a hearth temperature field is carried out, and a temperature estimation value of any position of the hearth changing along with time is obtained.

The invention discloses a large-scale bearing structure digital twinning test method and a related device, which utilize limited measurement point data to map structure global stress response, improve the prediction capability of a model under a complex loading condition through a multi-task transfer learning mechanism, and provide a visualization method to render a model calculation result. The problem that a traditional method is insufficient and incomplete in structural state prediction accuracy under complex conditions is solved, and the usability of the digital twinning technology is remarkably improved.

The invention belongs to but is not limited to the technical field of three-dimensional space dose visualization, and discloses a three-dimensional nuclear emergency radiation field calculation and visualization method and system, based on a point nuclear method, a cumulative factor, mass attenuation factor and flux rate-dose rate conversion factor database is established, a mean free path solving algorithm is optimized, and a three-dimensional nuclear emergency radiation field is obtained. The geometric types of radioactive sources are expanded, and the dose calculation efficiency is improved through parallel calculation; plane dose rate drawing at a certain height is realized based on a two-dimensional texture mapping method; three-dimensional space dose rate contour surface drawing is realized based on a moving cube algorithm; and three-dimensional space dose rate volume rendering is realized based on a three-dimensional texture volume rendering technology. Radiation field dose calculation, three-dimensional radiation field dose visualization and GIS are integrated, and the system is used as a subsystem of a nuclear emergency aid decision simulation platform. The dose distribution diagram in the area can be judged more visually, and the method has a good help effect on nuclear emergency command.

The invention provides a metal matrix composite microstructure strengthening simulation method and system, and relates to the technical field of composite mechanical property simulation, and the method comprises the following steps: establishing a polycrystalline aluminum matrix atomic model and a spherical silicon nitride particle strengthening phase atomic model unit; embedding the spherical silicon nitride particles into the polycrystalline aluminum matrix according to the target embedding position coordinates, and integrating to generate an atomic scale structure model; according to the method, an embedded atom potential function is adopted to describe interaction among atoms in a polycrystalline aluminum matrix, a Tersoft potential function is adopted to describe covalent bond interaction among atoms in spherical silicon nitride particles, and a Lennard-Jones potential function is adopted to describe interaction among heteroatoms at a Si3N4 / Al interface; based on the interaction potential between atoms, molecular dynamics simulation is adopted for conducting uniaxial stretching simulation on the atomic scale structure model, mechanical property parameters of the particle reinforced metal matrix composite are obtained through calculation, and a visualization method is combined for analyzing the microcosmic strengthening mechanism of the particle reinforced metal matrix composite.

The invention provides an industrial T-MOD module working state visualization method and system, and the method comprises the steps: carrying out the time dimension preprocessing and multi-dimensional feature analysis of original operation data collected by a T-MOD module, and generating a multi-dimensional dynamic feature vector, the method comprises the following steps: acquiring a multi-dimensional dynamic feature vector of a T-MOD module, constructing a digital twin three-dimensional model corresponding to the T-MOD module according to the multi-dimensional dynamic feature vector, inputting the multi-dimensional dynamic feature vector into a pre-trained large language model, performing semantic recognition and potential anomaly analysis on the running state of the T-MOD module, and generating structured analysis data; and generating a three-dimensional dynamic visual interface in the digital twin three-dimensional model according to the structured analysis data. According to the scheme, the working state of each component of the T-MOD module can be detected in real time through the three-dimensional dynamic visual interface, the manual inspection cost is effectively reduced, and the fault detection efficiency is improved.

The invention relates to the technical field of data processing, and discloses a multi-source heterogeneous data-based visualization method, which comprises the following steps of: acquiring low-altitude weather, electromagnetic environment and flight obstacle data, establishing a safety evaluation model containing a plurality of dimension evaluation factors, and performing fusion quantitative analysis on multi-source heterogeneous data based on the model, according to the method, the risk distribution data set recording the corresponding relation between the spatial position and the quantitative risk value is generated, and then the three-dimensional visual scene is constructed according to the data set, so that the originally isolated risk information is placed under the unified framework for association analysis, the composite effect generated by multiple risk dynamic coupling can be revealed, and the risk distribution data set is more accurate. And the safety assessment is converted from passive response to a single risk to insight into the overall safety state of the space, so that decision support information is provided for low-altitude flight activities.

The invention discloses an interpretability visualization method and system based on chronic disease dynamic prediction, and belongs to the technical field of intelligent medical treatment, and the method comprises the steps: carrying out the distributed processing, standardized storage, distributed verification and undersampling of medical data, and obtaining a balanced data set comprising effective samples; extracting a disease tag of a previous time node from each patient as a feature, and performing feature importance evaluation by using a tree model to screen out an important feature subset; inputting the effective samples into a chronic disease prediction model, calculating the marginal contribution of each important feature, and visualizing the marginal contribution into a force diagram for analyzing single sample prediction logic; and calculating the interaction importance between every two features, screening feature interaction pairs, visualizing the feature interaction pairs into text rules and corresponding influence factors, and constructing the interaction pairs into new features for retraining the chronic disease prediction model. According to the method, the interpretability of the model in a chronic disease prediction technology can be enhanced, and the transparency and traceability of decision logic of a complex model are realized.

The invention discloses a spatial planning three-dimensional visualization method based on geographic information, which relates to the field of spatial planning and comprises the following steps: acquiring and analyzing remote sensing image data to obtain attribute data and digital elevation data; obtaining and analyzing an actually measured topographic map to obtain vector data; establishing a three-dimensional terrain database by combining the digital elevation data, the vector data and the remote sensing image data; collecting ground building data, generating a building model, and establishing a three-dimensional building model library; acquiring public facility information, and establishing a basic service facility model library; combining the three databases with attribute data to establish a three-dimensional visual GIS database; according to the planning and design scheme, obtaining corresponding three-dimensional visual GIS database data, and establishing a three-dimensional visual area model; a three-dimensional surface dynamic model is generated through a three-dimensional visualization GIS database, and a three-dimensional visual area model is deduced; and based on the deduction result, comparing and optimizing the planning and design scheme.

The invention aims to provide a CT / CTP multi-mode ischemic penumbra automatic labeling and visualization method and system. The method comprises the following steps: data acquisition and preprocessing; carrying out CT and CTP image registration; cTP function parameters are extracted; training a deep learning model; model prediction and focus labeling; calculating the focus volume; result visualization and output are carried out; on the basis of a common CT image, the deficiency of functional information can be made up through an advanced technical means.

The invention discloses a brain wave monitoring visualization method and system, and the method comprises the following steps: obtaining original brain electrical signals of a user at different time points and task scenes, and carrying out filtering, denoising and segmented cleaning to obtain a preprocessing data set; performing frequency domain analysis on the data set, and extracting waveband power distribution; generating thermodynamic diagram data based on the power value, dynamically superposing the thermodynamic diagram data to the visual field of the user through an augmented reality technology, and displaying the activity intensity of the brain area; and accumulating data for a long time to construct a personalized baseline database, comparing the current power with a scene threshold value in real time, generating warning feedback by associating the thermodynamic diagram when the power is abnormal, and optimizing the baseline database. According to the method, the abstract electroencephalogram signals are converted into the visual thermodynamic diagrams, personalized baselines and dynamic feedback are combined, the problems that traditional monitoring data is difficult to understand, depends on group threshold misjudgment and is lack of dynamic optimization are solved, and the intuition, accuracy and practicability of electroencephalogram monitoring are improved.

The invention relates to the technical field of big data analysis and disaster management, and discloses a multi-dimensional spatio-temporal data analysis and visualization method, system and device. The method comprises the steps of obtaining multi-source spatio-temporal data and performing standardization processing to obtain processed spatio-temporal data; performing real-time analysis and trend prediction according to the processed spatio-temporal data based on a deep learning algorithm to obtain an analysis prediction result; performing three-dimensional modeling through a GIS platform according to the processed spatio-temporal data and an analysis prediction result to obtain a three-dimensional dynamic simulation model and performing visual display; and generating a decision strategy according to an analysis prediction result, and optimizing the decision strategy based on a reinforcement learning mechanism. According to the method, multi-source spatio-temporal data are efficiently integrated, real-time processing of large-scale data is achieved, and the data response speed is remarkably increased. Prediction is carried out based on multi-source data fusion and a deep learning algorithm, and the automation and accuracy of analysis are improved. Real-time dynamic display helps a user to understand a data trend more visually, and decision scientificity and timeliness are enhanced.

The invention relates to the technical field of single cell data processing, in particular to a database visualization method based on single cells. The method comprises the following steps: acquiring a single cell data set; standardizing the single cell data set to obtain standardized single cell data; performing high-dimensional feature extraction on the standardized single-cell data to obtain single-cell high-dimensional feature data; and performing nonlinear dimension reduction processing on the single-cell high-dimensional feature data to obtain single-cell dimension reduction data. Performing data clustering on the single cell dimension reduction data to obtain single cell clustering data; performing gene differential expression extraction on the single cell clustering data to obtain differential expression gene data; multi-modal data fusion analysis is carried out on single cell data through a data processing technology, a feature mapping technology and a visualization technology; and dynamic weight division is carried out on the single cell database, so that the effect of visualization of the single cell database is enhanced.