194results about How to "Improve visualization" patented technology

The invention belongs to but not limited to the technical field of fault diagnosis and maintenance of power equipment, and discloses an intelligent diagnosis and maintenance system and method for power equipment based on a knowledge graph. A data acquisition and preprocessing module acquires real-time operation data and historical data of the power equipment; the knowledge graph construction module associates various kinds of information of the power equipment to construct a knowledge graph; the intelligent diagnosis module performs association analysis on power equipment faults based on a knowledge graph and a machine learning algorithm, identifies fault modes and potential faults, and predicts possible faults of the equipment; the maintenance suggestion module automatically generates a detailed maintenance scheme according to the diagnosis result; the operation and maintenance visualization module provides visual fault diagnosis results and maintenance suggestions, supports multi-level data display, and helps operation and maintenance personnel to clearly understand the equipment state. The operation safety of the power equipment is improved, the operation and maintenance cost is remarkably reduced, and the overall efficiency of equipment management in an intelligent power grid environment is improved.

The invention relates to the technical field of medical data management, in particular to a medical data document classification and marking system which comprises a document structure analysis module, a semantic information identification module, a classification and marking module and a document intelligent label module. According to the method, document visualization and retrieval efficiency is improved by analyzing document content and extracting titles, texts and appendixes, analytic performance and operability of data are enhanced by identifying key information and semantic relations and accurately extracting and labeling medical terms, medicine research data and medical record records, storage is optimized according to priorities in combination with classification and marking, and the method is high in practicability and easy to popularize and use. Clinical values and application scenes of documents are clarified, document management processes are refined, management compatible with clinical data formats is formed through structured storage of marked data and classification label generation, storage normalization and retrieval efficiency are improved, the requirement for accurate information calling in clinical tests is met, document management capacity is improved, and the document management efficiency is improved. And support is provided for improvement of clinical decision-making and research efficiency.

The invention discloses a terrain-level real-scene three-dimensional entity and element dynamic updating method, which comprises the following steps: S1, data acquisition and preprocessing: acquiring data of a target area by an acquisition mechanism based on entity and element type priorities, and preprocessing the acquired data to obtain model data of the target area; s2, change detection: comparing newly collected model data with historical model data, and identifying a change region and type; s3, entities and elements are extracted and updated, wherein the entities and the elements of the change area are processed to obtain updated models; s4, model fusion and optimization: fusing the updated entity and element model with the original model, and realizing efficient acquisition and preprocessing of target area data by using the multi-source surveying and mapping equipment and an acquisition mechanism based on entity and element type priorities; by dividing the small regions according to the region characteristics and correcting the acquisition frequency, the resource allocation is optimized, and the pertinence and efficiency of data acquisition are improved.

The invention discloses an automatic penetration test method, system and device based on deep reinforcement learning, and a medium, and the method comprises the steps: carrying out the vulnerability scanning and baseline verification of a device through employing a vulnerability scanning and baseline verification tool, and obtaining the vulnerability information of a tested system; generating an attack graph according to the obtained vulnerability information, determining a vulnerability utilization probability according to the vulnerability information, and assigning values to edges of the attack graph to obtain a Bayesian attack graph; designing an attacker target node reward value on the generated Bayesian attack graph, simulating a possible attack behavior of an attacker, and calculating an attack strategy of the attacker by using a deep reinforcement learning method; simulating potential attack behaviors of an attacker in the attack graph according to an attack strategy, and generating a penetration attack path which is most likely to be adopted by the attacker; and performing an automatic penetration test to generate a penetration test report. According to the invention, the penetration test scheme can be intelligently generated according to the vulnerability of the system, and the precision and efficiency of network security evaluation are greatly improved.

The invention discloses a multi-source fusion detection and formation recognition system for an unmanned aerial vehicle cluster. The multi-source fusion detection and formation recognition system comprises a radar detection system, a photoelectric detection system and an information processing module. The invention further discloses a multi-source fusion detection and formation recognition method for the unmanned aerial vehicle cluster. The method comprises the steps that the radar detection system obtains the initial azimuth information of the unmanned aerial vehicle; the information processing module generates guidance information according to the initial azimuth information; the photoelectric detection system tracks the unmanned aerial vehicle according to the guidance information to obtain an image of the unmanned aerial vehicle; and the information processing module obtains the three-dimensional position information of the unmanned aerial vehicle according to the initial azimuth information and the unmanned aerial vehicle image, carries out the recognition of the unmanned aerial vehicle cluster formation pattern, and obtains a formation pattern structure. According to the method, accurate identification and three-dimensional coordinate acquisition of individual targets in a long-distance high-resolution unmanned aerial vehicle cluster and feature identification of the formation of the unmanned aerial vehicle can be realized, and high-reliability information support is provided for command, control and strike decisions.

The invention relates to the technical field of solid waste sorting scheduling, in particular to a real-time monitoring optimization method and device for a solid waste collection, transportation and sorting ERP system. The method comprises the following steps: obtaining a real-time solid waste sorting log based on a solid waste collection, transportation and sorting ERP system; solid waste carrying vehicle tracking is carried out on the real-time solid waste sorting log, and a carrying track distribution visual view is constructed; acquiring an omnibearing monitoring image of a real-time sorting site; equipment sorting behavior visual identification is carried out on the real-time sorting site omnibearing monitoring image, dynamic sorting evolution is carried out, and a dynamic sorting twinborn model is constructed; carrying out multi-time-point solid waste sorting simulation on the dynamic sorting twinborn model, carrying out sorting load demand prediction, and generating a sorting load demand prediction value; and carrying out vehicle load calculation on the sorting load demand prediction value one by one, and then carrying out dynamic vehicle scheduling decision making to obtain a dynamic vehicle scheduling strategy. According to the invention, efficient and real-time solid waste sorting scheduling optimization is realized.

The invention discloses a data processing system and method for three-dimensional real estate surveying and mapping, and relates to the technical field of intelligent surveying and mapping, and the system comprises a multi-source data fusion module, a model generation module, a spatial relationship analysis module, an efficient rendering module and a data security module. The multi-source data fusion module converts the original surveying and mapping data in different formats into a unified three-dimensional point cloud data set; the model generation module generates a parameterized three-dimensional building model based on the point cloud data; the spatial relation analysis module constructs a relation graph of the building model and generates a surveying and mapping index report; the efficient rendering module processes large-scale three-dimensional data and generates an interactive three-dimensional scene; and the data security module controls the data access authority and generates an operation log. According to the method, the processing efficiency and precision of the three-dimensional real estate surveying and mapping data are improved, efficient analysis and visualization of large-scale three-dimensional data are realized, the security of sensitive data is ensured, and advanced technical support is provided for modern city planning, real estate management and real estate development.

The invention relates to an inter-satellite link communication simulation system and method based on a satellite constellation. The system comprises a satellite orbit simulation module, a satellite attitude simulation module, an inter-satellite communication link simulation module, a visualization and interaction technology module and a data interaction and system test module. The satellite orbit simulation module is used for calculating a movement track of a satellite in an earth gravitational field; the satellite attitude simulation module is used for accurately simulating a satellite attitude; the inter-satellite communication link simulation module is used for evaluating inter-satellite communication quality; the visualization and interaction technology module is used for presenting real-time states of satellite orbits, attitudes and inter-satellite links; and the data interaction and system test module is used for smoothly exchanging data, and comprehensively testing and checking the correctness and performance of satellite orbits, attitudes and communication functions. The method has the beneficial effects that the real-time states of the satellite orbit, the attitude and the inter-satellite link are efficiently presented, so that a user can easily monitor and control the simulation process.

The invention discloses a coal seam working face floor detection and analysis method, and relates to the technical field of detection and analysis. Potential change conditions of different positions and different elevations are observed through a parallel electrical method instrument, resistivity distribution conditions of different depths in a working face and a bottom plate of the working face can be obtained through three-dimensional electrical method inversion, and the resistivity distribution conditions provide technical support for objective and accurate geological interpretation. The hydrogeological condition of the working face floor rock stratum can be better understood, so that an important reference basis is provided for safe mining; the thermal effect and the electromagnetic effect existing in the environment are evaluated and corrected, so that the deviation of the measured conductivity value can be accurately corrected, and the accuracy and the reliability of conductivity measurement data are improved; and inputting the corrected conductivity value SR (xi, yi, zi) of each grid point into a three-dimensional model, and marking to construct a conductivity three-dimensional model, so as to visually display the electrical property distribution information of the underground medium.

The invention relates to an agricultural data interaction method and platform based on multi-source information, and belongs to the technical field of agricultural data processing. Comprising the following steps: processing collected data through a corresponding edge calculation module to generate a dynamic label; analyzing and processing the agricultural information data to obtain a supervision label and corresponding supervision data; all the tags and the corresponding data are imported into a geographic information system, matching is carried out according to the corresponding areas and the respective tags, and meanwhile, the monitoring tags are recognized and updated through a cloud platform computing center. The real-time data is fused and sent to the cloud computing platform through the edge computing module, the interaction prompt is generated through association with the supervision data, so that the real-time performance and the high efficiency of data processing are improved, meanwhile, the monitoring data and the supervision data are associated through the interaction prompt, and the interactivity of visual display is improved.

The invention belongs to the technical field of electric power engineering monitoring, and discloses a small sample power transmission line pin defect detection method based on a graph convolutional network, and the method comprises the steps: collecting a power transmission line pin image through image collection equipment; marking pins in the image based on event logic guidance to obtain a transmission line pin data set with logic association; introducing a cross-domain interaction enhanced pyramid network into the graph convolutional network to obtain an improved graph convolutional network model, and training to obtain an original target detection model; a knowledge graph relation reasoning module is introduced into the original target detection model, and a power transmission line pin defect detection model is obtained; and detecting the preprocessed power transmission line pin image by using a pin defect detection model, so as to generate a pin image with marked pin position classification and confidence. The method can effectively solve the problem that the sample size is small, and improves the recognition accuracy of the pin and the defect of the pin, thereby facilitating the improvement of the efficiency of detecting the defect of the pin of the power transmission line by inspection personnel, and guaranteeing the stable operation of a power system.

The invention relates to a digital twin model construction method and device of a converter station and computer equipment. The method comprises the following steps: processing a visible light image of a converter station by adopting a motion recovery structure model and a multi-view stereoscopic model to obtain dense point cloud data of the converter station; fusing the dense point cloud data and the laser scanning point cloud data of the converter station to obtain geometric point cloud data of the converter station; constructing a grid model of the converter station according to the geometric point cloud data; according to the visible light image and the grid model, obtaining a visible light texture mapping relation corresponding to the visible light image, and according to the visible light image, performing registration processing on other multi-source images of the converter station to obtain other texture mapping relations corresponding to the other multi-source images; and obtaining a multi-source texture digital twin model of the converter station according to the grid model, the visible light texture mapping relation and other texture mapping relations. By adopting the method, the precision of the digital twin model of the converter station can be improved.

The invention discloses a branch coverage rate calculation method and device based on BOOL logic, and relates to the technical field of software testing. The method is suitable for the test case taking the BOOL logic expression as basic test data, the branch path diagram is generated according to the BOOL logic expression, the coverage rate condition of the test case set on the BOOL logic branches is calculated according to the covered path condition in the case execution process, covered and uncovered BOOL branch reports are output according to the test execution condition, and the test efficiency is improved. The test case executed by the black box is transparent, and meanwhile, a test case set can be completed according to uncovered branch guidance in an output report.

The invention discloses a GIS-based pipe network geographic information integrated management system, and relates to the technical field of geographic information, a pipe network information acquisition module can accurately extract detailed attribute information of graphic elements in each layer from a GIS management system, and generates feature vectors through preprocessing to build a data basis for subsequent analysis. The layer display module can determine the overlapping rate of graphic elements between layers through a rigorous calculation process, analyzes the overall overlapping distribution condition, and then judges whether a visual conflict hot spot area exists or not. On the basis, the interlayer interference analysis module quantitatively calculates a visual conflict measurement coefficient and a logic correlation coefficient from the perspective of representation and internal correlation and deeply analyzes the multi-dimensional relation between layers, and the comprehensive analysis module utilizes deep learning to construct a model, integrates the coefficients and outputs a comprehensive conflict measurement index. And overall coordination performance among the layers is comprehensively evaluated.

The invention discloses an ultra-large anchorage digital twinborn body construction method and system, and the method comprises the following steps: arranging 16-hole inclinometer tubes to form a three-dimensional monitoring array, collecting data in real time through the inclinometer tubes, and generating accurate grid point data through an IDW interpolation algorithm; carrying out optimization processing on the digital model, wherein the optimization processing comprises structure optimization, efficient compression algorithm application and instantiation rendering; three-dimensional visualization is achieved based on the WebGL technology, and the three-dimensional visualization comprises model translucency, grid data accurate alignment, thermodynamic diagram rendering achieved through a custom shader and the like; a comprehensive digital twin system platform is constructed, and full-life-cycle management and real-time monitoring of the super-large anchorage structure are achieved. According to the invention, by arranging a sensor acquisition and real-time monitoring mode, the precision and comprehensiveness of data acquisition are remarkably improved, real-time monitoring of overall deformation of the anchorage is realized, high-precision, real-time and interactive digital twinborn visualization of the super-large anchorage structure is realized, and powerful support is provided for engineering monitoring and decision making.

The invention relates to the technical field of machine room monitoring, in particular to an Internet of Things monitoring method for unattended machine room monitoring, comprising an environment monitoring module, a comprehensive gateway, a radar module, a sound collection module and a machine room camera group, the environment monitoring module is used for monitoring machine room environment data; the sound collection module is used for collecting sound data in the machine room in different time periods and transmitting the sound data to the sound analysis module; the machine room camera group is used for acquiring video data in a machine room and monitoring intruders; the radar module is used for multi-target tracking and positioning; the comprehensive gateway comprises a video analysis module and a sound analysis module, and is used for generating an alarm signal according to the machine room environment data, the sound data and a video analysis result. According to the method, video monitoring, millimeter wave radar detection and sound recognition technologies are comprehensively applied, comprehensive monitoring of the internal environment of the machine room is achieved, the detection precision of abnormal events and the accuracy of fault diagnosis are improved, and meanwhile the visual effect of environment monitoring is enhanced.

The present invention belongs to the field of construction site safety technology, specifically a construction site construction safety assessment system, the system includes: a scene reconstruction design module, a data perception module, a data communication module and a data processing module. The present invention has the beneficial effects of being able to realize real-time, accurate and comprehensive data collection and transmission of construction sites, improving the data quality and timeliness of construction safety assessments; being able to realize clear, intuitive and dynamic scene reconstruction and display of construction sites, improving the visualization and interactivity of construction safety assessments; being able to realize scientific, objective and consistent risk analysis and assessment of construction sites, improving the systematicness and reliability of construction safety assessments; being able to realize efficient, accurate and intelligent design and construction optimization and adjustment of construction sites, improving the optimization and automation of construction safety assessments.

The invention belongs to the technical field of ultrasonic Doppler blood flow imaging, and particularly relates to a three-dimensional ultrasonic vector Doppler imaging method based on a row-column addressing array. According to the method, three-dimensional ultrasonic vector Doppler imaging is realized by combining a high-frame-rate two-dimensional non-focused wave emission sequence and a row-column addressing array (RCA) of a least square multi-angle Doppler velocity estimator; the method specifically comprises the following steps: acquiring radio frequency data from each oblique non-focused wave emission, and then performing IQ demodulation, beam forming and clutter filtering; performing high-frame-rate multi-angle vector Doppler analysis and speed estimation on a result through RCA; and dual-wavelength anti-aliasing processing is carried out. According to the invention, the imaging speed of more than thousands of frames can be realized, the sensitivity to low-speed flow and the measurement accuracy to high-speed flow are obviously improved, and clinical environment experimental verification is carried out; the method is suitable for clinical application, especially for blood flow dynamic monitoring of large blood vessels, and important support can be provided for blood flow dynamic research and clinical diagnosis.

The invention relates to a combustible gas cloud explosion parameter testing device and method in an open space, and belongs to the technical field of combustible gas explosion safety protection. The test device comprises an explosion environment simulation system and a performance test system, and further comprises a combustible gas bottle, an air bottle, an inert gas bottle, a solid powder explosion suppression tank, a liquid explosion suppression tank, an ignition device and an explosion-proof fan, the explosion environment simulation system comprises a supporting platform and a shell located above the supporting platform, a closed space is formed between the shell and the supporting platform, and the closed space is used for performing explosion simulation on the combustible gas cloud; the ignition device is connected into the closed space through a circuit and is used for igniting combustible gas; the anti-explosion fan is used for blowing air to the outer surface of the shell; the performance test system comprises a temperature test system, a pressure test system, a concentration test system, a sound test system, a flame velocity system, a fluid microstructure system, a structural strain system, an image acquisition system and an obstacle.

The invention provides a movie and television play information collection method and device, electronic equipment and a medium. The method comprises the steps of obtaining a user file path of a file; classifying the user file paths, and screening out target user file paths of target files belonging to movie and television play categories; inputting the target user file path into a trained key information extraction model, and extracting target key information of the target user file path through the trained key information extraction model; and performing multi-level information matching on the target key information and movie and television play information in a pre-configured movie and television play resource library, and determining a target movie and television play with the highest matching degree with the target key information, thereby accurately determining the target movie and television play corresponding to the target file, and facilitating visual display of more movie and television play information.

The invention relates to an AGV path smooth planning method based on adaptive heuristic optimization under multiple constraints. Comprising the following steps: 1, constructing a grid map based on a Layou graph of an intelligent manufacturing workshop, endowing each grid unit with a specific steering constraint according to a constraint condition of the operation flow direction of AGV equipment, and generating a grid steering constraint table; 2, improving a path cost evaluation function, and introducing a reverse penalty term; 3, optimizing the weight of the heuristic function, and designing a self-adaptive heuristic weight factor; and 4, introducing a secondary Bezier curve to carry out path smoothing, and finally obtaining a smooth AGV path. According to the AGV equipment operation flow direction required by an intelligent manufacturing workshop, steering constraints are given to each grid, a grid steering constraint table is generated, a reverse penalty term is added to a path cost evaluation function of a traditional A * algorithm, and a self-adaptive heuristic weight factor is designed in a heuristic function; and introducing a quadratic Bezier curve to smooth the planned initial path, and planning a smooth optimal path to realize efficient and smooth planning of the AGV path.

The invention discloses a digital twinning long-span bridge earthquake wind vibration and vibration reduction and isolation system and method, the system takes a high-fidelity digital model for constructing a long-span bridge as a basis, comprises full life cycle monitoring and management of the bridge under earthquake, wind vibration and vibration reduction and isolation conditions, and is based on a sky-air-ground-water integrated ubiquitous sensing module. In combination with artificial intelligence algorithms such as deep learning and a pulse neural network, real-time state evaluation of a bridge structure, material nonlinear analysis, geometric nonlinear analysis, multi-point excitation and pile-soil-structure interaction simulation, wind-induced fatigue damage prediction, earthquake vulnerability evaluation and closed-loop control scientific decision based on an artificial intelligence body are realized. According to the invention, system support and method guidance can be provided for large-span bridge anti-seismic and anti-wind design, intelligent monitoring, operation and maintenance management and vibration reduction and isolation system optimization.

The invention discloses a method and system for analyzing the detection coverage rate of a railway track dynamic inspection tester, and relates to the technical field of railway track safety detection, and the method comprises the steps: collecting track dynamic detection data obtained by each railway track dynamic inspection tester; the obtained track dynamic detection data are screened and cleaned, and data meeting preset conditions are filtered out; based on the filtered data, the coverage condition of the railway track dynamic inspection tester on each line is analyzed, and visual display is carried out; and automatically generating a coverage rate report in a spreadsheet type according to an analysis result of the coverage condition. According to the method, the coverage condition of the railway track dynamic inspection tester on each line is accurately analyzed, and the analysis result is intuitively displayed, so that a manager can better understand and analyze track dynamic detection coverage rate data, the accuracy and efficiency of data interpretation are improved, and the reliability of data interpretation is improved. The locomotive running route provided with the railway track dynamic inspection tester is reasonably deployed, and the coverage rate of track dynamic detection is increased.

The invention discloses detection test paper and a detection kit for detecting telomerase activity and application, the detection test paper comprises a nitrocellulose membrane, the surface of the nitrocellulose membrane is provided with a test area, and a first detection line and a second detection line are printed in the test area; wherein the first detection line and the second detection line are respectively formed by printing a first capture probe sequence and a second capture probe sequence of streptavidin-biotinylation, the first capture probe is used for capturing a DNA neck ring structure extending after telomerase reaction, and the second capture probe is used for capturing a DNA sequence with a fluorophore replaced after telomerase reaction. Meanwhile, the invention discloses a detection kit, which contains a colloidal gold nucleic acid probe solution, can realize rapid dual visual detection of telomerase activity through colloidal gold color development and fluorescence detection, and has the advantages of sensitive and rapid response to telomerase extension products and high sensitivity. The problem of false positive rate in telomerase activity detection can be greatly reduced.

The invention discloses an image CT (Computed Tomography) image enhancement method and system. The image enhancement method comprises the following steps: acquiring a CT image; preprocessing the CT image to obtain a feature vector; clustering different tissue structures in the CT image based on the feature vectors to obtain tissue structure images corresponding to different categories; and performing saturation transparent adjustment on the tissue structure image to obtain an adjusted CT image. The visual difference of the tissue structure can be enhanced from multiple angles, the overall quality and readability of the CT image are improved, and clear and accurate information support is provided for image observation and diagnosis of doctors.

The invention relates to the technical field of depth measurement, and discloses a carbonization depth detection method, system and device, and the method comprises the steps: starting drilling equipment with impact and rotation functions, and carrying out the automatic drilling according to preset parameters, the preset parameters comprise the drilling depth, the rotation speed, the impact frequency and the like; when a hole is drilled to a certain depth, a concrete powder sample is automatically collected; then the built-in fan is started, and concrete powder in the drilled hole is automatically blown away; the computer system controls the alcohol phenolphthalein solution to be automatically added into the container, and the color change of the solution is monitored in real time through a built-in camera; the average value of the two drilling depths is calculated to serve as a carbonization depth detection result; and automatically generating a detection report. The system comprises a parameter setting module, a depth acquisition module and a result output module. According to the invention, automation, precision and intelligence of carbonization depth detection are realized; the detection accuracy and efficiency are improved, and the standardization of the detection process and the visualization of data are also realized.

The invention belongs to the technical field of ancient building reconstruction, and discloses a rapid reconstruction method and system of an ancient building BIM (Building Information Modeling) model, and the reconstruction method comprises the following steps: S1, building a model library as a model library by manually prefabricating a model; s2, feature parameter extraction and recognition are carried out based on a to-be-reconstructed historic building picture, and then the categories of buildings and components are judged and classified, so that the target category and information are obtained; and S3, retrieving and matching in a model library based on the acquired target category and information input. Through the provided historic building component parameterized model database and a rapid assembly function, the blank of a domestic historic building rapid assembly modeling technology is filled, and the efficiency of a historic building reconstruction project is remarkably improved; recording full life cycle information of the ancient building from planning, design, construction to operation and maintenance; the provided ancient building BIM model and full life cycle information provide a convenient tool for operation and maintenance management of the ancient building, and the operation and maintenance efficiency and the management level are improved.

The present invention discloses a micro-expression recognition method, system, device and storage medium based on multivariate optical flow feature fusion. The method includes obtaining original video, generating optical flow images respectively through multiple optical flow algorithms, extracting horizontal optical flow vectors and vertical optical flow vectors therein for superposition, obtaining horizontal images, vertical images and overall images, and inputting them into the MRKCBN network model for feature extraction, outputting corresponding image output features to obtain local features; inputting the optical flow image generated by one of the optical flow algorithms into the VIT network model for feature extraction and outputting global features, splicing local features and global features to obtain splicing features; fusing the splicing features through the APSB module to obtain fused features; and classifying the fused features through the fully connected layer to obtain micro-expression recognition results. The present invention uses multiple optical flow algorithms to fuse optical flow information to improve the accuracy of recognition; and takes into account both local features and global features through MRKCBN and APSB.

The invention discloses an image distortion real-time correction and real-time registration method based on high-speed laser scanning, and relates to the field of ophthalmology medical imaging and image processing. The method is suitable for various laser scanning systems based on the resonance galvanometer, and scanning lag and image distortion caused by sine scanning characteristics of the resonance galvanometer can be effectively corrected. According to the strip-based image real-time registration method, large-range full-frame motion and small-range intra-frame motion in the imaging process are accurately corrected, strip registration is carried out in the horizontal direction and the vertical direction, intra-frame gaps are avoided, and the continuity of the interior of the image is ensured. And meanwhile, a rolling average method is adopted to display a registration result in real time, so that the signal-to-noise ratio of a single-frame image is remarkably improved, and powerful support is provided for accurately observing a retina structure, dynamic and static characteristics of cells and hemodynamic changes.

The invention discloses an engineering structure analysis and result visualization method based on BIM + WebGL, and relates to the technical field of engineering structure analysis. Comprising the following steps: establishing a three-dimensional BIM model of an engineering structure, and uploading the three-dimensional BIM model in a glb format to a structure safety analysis platform interface; automatically extracting geometric parameters, and obtaining specific analysis parameters required by finite element analysis pretreatment on a structure safety analysis platform interface; storing the geometric parameters and the specific analysis parameters in a preset database; extracting information stored in the database to automatically generate an ANSYS APDL command stream; the ANSYS APDL command stream is imported into ANSYS software, and a finite element analysis result is obtained; and a finite element analysis result is extracted from the database through a structural security analysis platform interface, and an analysis process and a final result are displayed in a graphical mode. According to the method, a complete process of automatically extracting data from the BIM model, performing finite element analysis and visualizing a result cloud picture is realized, and the efficiency and the precision of engineering analysis are remarkably improved.