345results about How to "Improve intuitiveness" patented technology

The invention relates to the technical field of data processing, and discloses a multi-granularity extraction and enhancement method, device and equipment for multi-source heterogeneous data. The method comprises the following steps: performing multi-level feature extraction on a multi-modal data set and original feature parameters to obtain a multi-modal feature set; performing correlation analysis on the multi-modal feature set to obtain a feature correlation matrix and optimized feature representation; performing cross-modal knowledge migration processing on the feature incidence matrix and the optimized feature representation to obtain migration feature parameters; performing dynamic fusion processing on the migration feature parameters to obtain target fusion features; and performing multi-task segmentation processing according to the target fusion features to obtain a plurality of sub-task sequences, performing time sequence enhancement and multi-task fusion analysis on each sub-task sequence to obtain target extraction data, and performing visual display on the target extraction data. According to the method and the device, the efficiency and the accuracy of multi-granularity extraction and enhancement for multi-source heterogeneous data are improved.

The invention relates to the technical field of geological disaster evaluation, in particular to a mine geological disaster risk comprehensive evaluation method considering spatial distribution characteristics. The method comprises the following steps: acquiring mine multi-source spatial data; performing mine geological disaster risk distribution analysis on the mine multi-source spatial data to generate a mine geological risk distribution map; performing spatial region potential disaster probability analysis on the mine geological risk distribution map to generate mine geological distribution disaster probability data; and performing high-complexity spatial region screening on the mine geological risk distribution map through the mine geological distribution disaster probability data to obtain high-complexity spatial region data. According to the method, multi-source data are integrated, spatial distribution characteristics are emphasized, active and inactive areas are distinguished, ecological and water body changes are analyzed, and the accuracy and comprehensiveness of mine geological disaster risk comprehensive evaluation are improved.

The invention relates to the technical field of real-time image superposition, in particular to a bridge inspection method and system based on AR, and the method comprises the following steps: shooting a bridge on site, capturing a real-time image of a structure, and recording vibration frequency, displacement change and stress data by using acceleration, displacement and strain sensors; and synchronously integrating the structure real-time image, the vibration frequency, the displacement change and the stress data, and naming the data as multi-dimensional dynamic monitoring data. According to the method, the vibration frequency, the displacement change and the stress data are integrated in real time, so that the real-time performance and the analysis depth of the multi-dimensional dynamic monitoring data are remarkably improved, the high fusion of a real-time image and a three-dimensional model is realized, the accuracy of data visualization is enhanced, an abnormal region is directly visible through the change of colors and textures, and the accuracy of data visualization is improved. According to the method, the structure safety monitoring intuitiveness and interactivity are improved, in addition, through time sequence analysis, structure changes under different environment conditions are accurately simulated, and prospective risk prediction is provided.

The invention relates to the technical field of data processing and three-dimensional model construction, in particular to an intelligent three-dimensional model design method and system based on small-opening press-blow molding equipment. The method comprises the following steps that an intelligent sensor is used for collecting parameters of small-opening press-blow forming equipment, and initial equipment parameter information is recorded; according to the initial equipment parameter information, establishing an equipment three-dimensional initial model by using computer aided design software; and acquiring characteristic data of the glass material drops, inputting the characteristic data of the glass material drops into the three-dimensional initial model of the equipment, simulating a press-blow molding process by utilizing simulation software, and carrying out influence evaluation on the simulated press-blow molding process to obtain a molding process evaluation result. Through a data processing technology, a three-dimensional modeling technology and an automatic control technology, various parameters of the small-opening press-blow molding equipment are associated and evaluated, and an intelligent three-dimensional model of the equipment is constructed; and the accuracy of control operation of the forming equipment is improved, so that the produced glass containers are kept consistent in specification.

The invention discloses a medical ultrasonic image quality control system based on multi-modal fusion. The medical ultrasonic image quality control system comprises a data preprocessing module used for collecting medical ultrasonic image data of different modals from different crowds in real time and preprocessing the medical ultrasonic image data; the dynamic self-adaptive fusion module is used for dynamically adjusting a fusion strategy according to the medical ultrasonic image data acquired in real time and introducing a self-adaptive mechanism to dynamically adjust weights of different modal data; the image enhancement module combines medical ultrasonic image data with a three-dimensional anatomical structure of a human body by utilizing an augmented reality technology to generate a visual and three-dimensional diagnostic image; the visualization module adopts a dynamic image display mode to present the change process of the diagnosis image in real time; a complete medical ultrasonic image quality control system is constructed by integrating a data preprocessing module, a dynamic adaptive fusion module, an image enhancement module, a visualization module and the like, the system can automatically process and analyze medical ultrasonic image data, and the quality control efficiency and accuracy are improved.

The invention provides a micro-nano impact press-in tester operation monitoring system based on digital twinning, and is suitable for the field of precise instrument maintenance. The system realizes multi-physical field coupling modeling in a micro-nano press-in test through a digital twinning technology, and can monitor the state of an instrument in real time with high precision, predict faults and perform dynamic optimization. The system is integrated with a high-precision sensor, data such as micro force, extremely high temperature and nanoscale displacement are collected in real time, a digital twin model is constructed, and the operation state of an instrument is mapped. Historical and real-time data are analyzed by means of a machine learning algorithm, potential faults can be accurately predicted, maintenance suggestions can be provided, and the precision retentivity and the test stability of the instrument under the material service working condition are ensured. The interaction center provides a visual interface, supports real-time monitoring, dynamic adjustment and early warning functions, and remarkably improves the intelligent maintenance level of the instrument. The invention is suitable for the fields of material science, micro-nano mechanical test and the like, and provides an innovative precise instrument intelligent management scheme.

The invention discloses a mathematics virtual-real fusion teaching system. A scene construction module is used for constructing a virtual teaching scene by using a virtual reality technology according to teaching contents and learning requirements of students; the animation simulation module is used for creating a mathematical model and an animation in the virtual teaching scene by utilizing a three-dimensional modeling technology and an animation production technology; the data acquisition module is used for acquiring learning behavior data and physiological data of students through the intelligent teaching terminal and the wearable sensor to obtain learning feedback data; analyzing the learning feedback data by using a machine learning algorithm to obtain learning state data of the student; and the teaching feedback module is used for adjusting a teaching mode and a teaching scene in the virtual teaching scene according to the learning state data. Through virtual reality and augmented reality technologies, in combination with a highly vivid virtual teaching scene and an innovative interaction mode, mathematics learning is more vivid and interesting, and the learning interest of students is greatly improved.

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.

The invention discloses a coal mine hidden disaster-causing multi-source factor superposition disaster-causing risk prediction method, and relates to the technical field of coal mine construction risk prediction. The method comprises the following steps of S01, information acquisition and processing, S02, risk assessment model construction, S03, risk early warning result display, S04, accident risk assessment, S05, risk information three-dimensional visualization, S06, emergency rescue resource management and S07, monitoring and early warning technology application. According to the method, through utilization of a GIS information acquisition platform, multi-source data of a coal mine can be effectively integrated, and the risk of the coal mine can be effectively analyzed; comprising production monitoring, geographic information, safety management and control and the like; the method overcomes the defect of incomplete data acquisition in the prior art, and ensures that the risk assessment can be performed based on comprehensive and accurate data, thereby improving the monitoring capability of the hidden disaster-causing factors of the coal mine.

The invention relates to the technical field of geographic image recognition, in particular to a dynamic terrain monitoring method and system based on image recognition. The method comprises the following steps: obtaining data of a measurement area; performing breach geographic coordinate confirmation on the measurement area data to obtain breach geographic coordinate data; daytime unmanned aerial vehicle oblique photography image collection is carried out on the breach geographic coordinate data, and daytime breach photography images are generated; performing three-dimensional space encryption on the daytime breach photographic image to generate daytime breach three-dimensional space encryption data; constructing a three-dimensional model based on the daytime breach three-dimensional space encrypted data, and generating a daytime breach live-action three-dimensional model; and night unmanned aerial vehicle point cloud data acquisition is carried out according to the breach geographic coordinate data, and night breach laser point cloud data is generated. According to the invention, through accurate geographic coordinate confirmation, efficient day and night data acquisition, multi-dimensional model construction, dynamic trend analysis and visual result display, the accuracy and comprehensiveness of dynamic terrain monitoring are improved.

The invention belongs to the technical field of abnormal early warning, and discloses an abnormal event early warning method and system for monitoring gas leakage. The method comprises the following steps: constructing a gas leakage monitoring digital twinborn model and an abnormal event early warning model based on a cloud data center; based on the gas leakage monitoring equipment, collecting real-time gas leakage monitoring data of the monitoring point at each collection moment, and uploading the real-time gas leakage monitoring data to the cloud data center; performing abnormal event early warning by using an abnormal event early warning model based on the cloud data center according to the plurality of real-time gas leakage monitoring data at the same acquisition moment to obtain a real-time abnormal event early warning result; and according to a real-time abnormal event early warning result, performing abnormal event early warning visualization by using a gas leakage monitoring digital twinborn model, and controlling corresponding gas leakage response equipment. According to the invention, the problems of low intelligent degree, poor accuracy, low practicability, poor early warning effect and lack of response mechanism in the prior art are solved.

The invention discloses a reservoir four-relation chart processing method, device and equipment and a medium, and relates to the field of oil well exploration, and the method comprises the steps: building a logging information parameter processing interpretation model, and determining parameters in an oil saturation model; based on the neutron-density intersection chart, calculating the distances from the logging response parameters to different lithologic curves as lithologic indication parameters; drawing a reservoir four-relation chart by taking the porosity of the stratum as an abscissa, the resistivity of the stratum as an ordinate and the lithology indication parameters as color mapping, drawing different water saturation scale marks in the reservoir four-relation chart, and in addition, taking the water saturation or the movable hydrocarbon saturation in the reservoir four-relation chart as a bubble radius; and projecting the logging response parameters of various stratum types and the explaining stratum parameter points into the reservoir four-relation chart, and establishing a logging explaining standard. According to the method, the dynamic change and internal relation among the four properties of the reservoir can be comprehensively and accurately displayed.

The invention belongs to the field of image spectrum detection, and particularly relates to a high-precision detection device and method for a liquid meniscus contour in a capillary tube. Comprising a telecentric lens, an industrial camera, a displacement platform, a light source, a capillary tube and a culture dish, the industrial camera, the capillary tube and the culture dish are installed on different displacement platforms respectively, the light source is provided with a rotary telescopic rod and can move in all directions, when the liquid meniscus contour in the capillary tube is shot, the light source, the meniscus of the capillary tube and the industrial camera are adjusted to be aligned to the same horizontal plane, and on the basis of the telecentric imaging principle, according to the light refraction principle, the liquid meniscus contour in the capillary tube is obtained. And deriving a distortion correction function of the meniscus contour in the capillary tube. According to the invention, the industrial camera and the telecentric lens are matched for use, the problem of shape distortion caused by object distance change is avoided, and the difficulty of image distortion correction is reduced. The meniscus contour distortion correction function derived based on the telecentric imaging principle can accurately calculate the actual value of the meniscus contour and restore the actual meniscus contour.

The embodiment of the invention provides a knowledge graph construction method and device, a storage medium and computer equipment. The method comprises the following steps: constructing a data database related to a set field; constructing an ontology model of the knowledge graph according to the data database; performing knowledge extraction on the data database based on the deep neural network model to generate extraction information; performing knowledge fusion on the extracted information and the ontology model to generate fusion information; and carrying out visual display on the fusion information so as to construct the knowledge graph. According to the technical scheme provided by the embodiment of the invention, the data in the field of engine fault maintenance is fused and stored and displayed in a graph form, so that the high quality and intuition of the constructed knowledge graph are ensured, and the efficiency and reliability of vehicle part maintenance are further improved.

The invention provides a data trend integration display analysis method and system based on a large model, and belongs to the technical field of data processing, and the method specifically comprises the following steps: according to the data volume of different potential processing data in an associated business type and the data volume of business data which does not need to be processed in advance, determining the data volume of the business data; when it is determined that no associated service type with the data processing difficulty coefficient not meeting the requirement exists, historical calling data of different associated service types is obtained, and an advanced data processing mode of potential processing data is determined in combination with the data processing difficulty coefficients of the different associated service types; according to the method, the business data and the large model are utilized to perform integration display processing on the data trends of different business types, whether advanced data processing needs to be performed on the business data of the business types is determined according to the data processing condition of the integration display processing, and the efficiency of integration display analysis of the data trends is improved.

The invention relates to the technical field of industrial Internet of Things security, and discloses an industrial information adaptive anti-intrusion supervision system and method based on Internet of Things, and the system comprises an industrial information network intrusion information identification module, an industrial information network intrusion firewall matching module, and an industrial information network intrusion processing feedback module. Comprehensive and accurate matching of industrial information anti-intrusion security processing firewall types is carried out based on big data storage industrial information security processing firewall type parameters in combination with an intelligent identification algorithm and network intrusion virus identification parameters and security level analysis parameters of industrial information; the industrial firewall type is adaptively and scientifically selected based on the industrial information network intrusion virus information and the data security level information, and the industrial Internet of Things industrial information anti-intrusion supervision effect is improved.

The invention provides an interactive multi-dimensional data visualization display sand table and method for business data analysis, and the method comprises the steps: carrying out the semantic mapping of state parameters in an interaction control operation when the interaction control operation is received, obtaining a plurality of pieces of visualization intention metadata, and generating a structured query instruction; based on the structured query instruction, extracting a target data subset rendered visually by the heterogeneous commercial data source from a multi-dimensional data cube of the commercial data source, performing visual optimization on the visually rendered chart type, the visual coding channel and the initial visual parameter through the cardinal number of the dimension field in the target data subset and the data distribution type and the numerical range of the measurement field to obtain a visual configuration set of the target data subset; and using the visualization configuration set to render and generate a multi-dimensional data visualization view, and outputting and displaying the data visualization view in a graphical user interface. Based on the scheme, automatic closed loop generation from heterogeneous data to interactive views can be realized.

The embodiment of the invention provides a visual space science experiment data analysis assembly line method. The technical problem that space science experiment data analysis is poor in convenience can be solved. The method comprises the following steps: in response to input data selection operation, algorithm model selection operation and visual component selection operation, generating data nodes, model nodes and visual nodes; performing parameter configuration on the data nodes, the model nodes and the visual nodes, and performing assembly line connection operation to generate a flow chart; based on the flow chart, receiving an input job submission operation; analyzing the flow chart to obtain an analysis result; obtaining a job scheduling result based on the analysis result; based on the job scheduling result, an algorithm mirror image deployment package corresponding to the algorithm model selection operation and file data corresponding to the data selection operation are called; performing algorithm analysis on the file data according to the algorithm mirror image deployment package to obtain an analysis result; and performing visual display. And multi-process, interactive and quantitative data analysis is realized.

The invention discloses a regional ecological environment quality evaluation method based on neighborhood granular fuzzy c-means clustering, and belongs to the technical field of electrical digital data processing, and the method comprises the steps: calculating and reconstructing a remote sensing time sequence MODIS data set based on a cloud platform, standardizing ecological factors, dividing ecological factor remote sensing images into n categories based on neighborhood granular fuzzy c-means clustering, and obtaining a comprehensive remote sensing ecological index PRSEI based on the MODIS by using an improved entropy weight method, and obtaining mining area ecological environment quality changes in year intervals according to the PRSEI of the research area. According to the method, the entropy weight method and the neighborhood fuzzy c-means clustering algorithm are effectively fused, all remote sensing pixel information of all ecological factors is reserved, the process is clear, and complex system problems such as remote sensing ecology and the like can be better analyzed and solved.

According to the multi-modal intelligent question answering method and device, the storage medium and the computer equipment, when the query question is received, the target query text of the query question is extracted to avoid input carrier limitation of the query question, then the target query text is vectorized into the target text vector, and the query question is queried according to the target text vector. The target text block is obtained based on the target query text and the target text vector, so that the retrieval accuracy is improved; and then optimizing the target text block by adopting the target text optimization model and outputting a high-accuracy target answer. If the target answer contains the picture address, a picture request is initiated to the server after a request address corresponding to the picture address is generated, and the server performs security verification on the request address and returns picture content corresponding to the picture address after the request address passes the security verification, so that the data security is improved; and finally, replacing the picture address in the target answer with the picture content, and displaying the final target answer to the user through a multi-modal mode of the text and the picture, so that the intuition and the accuracy are improved.

The invention relates to a natural resource data chart linkage configuration method and system based on a GIS system. The method comprises the steps of extracting natural resource data based on natural resource original SHP data, and performing data governance on the natural resource data to meet a set data format requirement; acquiring a set chart type, and generating a target chart corresponding to the set chart type based on the treated natural resource data; determining a target plot position corresponding to the geometric information in a GIS system; performing associative storage on the target chart and the target plot position; and when a viewing instruction for the target resource data is received, performing associated display on the target chart and the target plot position in the GIS system. The scheme provides an efficient, flexible and user-friendly natural resource data chart linkage configuration method, which is beneficial to improving the efficiency and quality of natural resource data management.

The invention discloses an atlas digital analysis method and system based on a notarization file database, and the method comprises the steps: S1, obtaining and analyzing notarization file data in the notarization file database, and carrying out the preprocessing of the notarization file data; s2, constructing map nodes according to the extracted key information elements; s3, carrying out attribute assignment on nodes and relation edges in the graph structure; s4, storing the atlas structure to a notarization file atlas database; s5, receiving a query request of a user; s6, querying demand parameters based on the query conditions; s7, outputting a query result, and generating a graph structure containing a node association relationship; and S8, outputting an analysis result including potential correlation among the nodes, an event development trend and pattern recognition output. According to the invention, the problems of low data association degree and low query efficiency in a traditional archive management system are effectively solved.

The invention discloses double-arm heavy-load robot teleoperation exoskeleton equipment with a limiting protection function. The robot comprises a fixed base and exoskeletons installed on the left side and the right side, the exoskeleton on each side is provided with eight active degrees of freedom, and the eight active degrees of freedom comprise shoulder joint three degrees of freedom, elbow joint one degree of freedom, wrist joint three degrees of freedom and tail end clamping jaw one degree of freedom. According to the human engineering size, four passive adjustment freedom degrees of the shoulder height, the shoulder width, the large arm length and the small arm length are increased so as to adapt to the body types of different operators. The device has the following obvious advantages that the joint limiting device is arranged, so that joints are prevented from being damaged due to over-limit movement, and the operation safety is effectively improved; a passive degree-of-freedom design is introduced, so that the fitting degree of the equipment and a human body joint natural movement track is improved; an operator can conveniently and directly observe the state of the slave end mechanical arm clamping jaw through the tail end clamping jaw, the hand enabling holding rod is provided with a multi-stage button, adjustment in multiple mapping modes is supported, and the precise control requirement of a complex two-arm rescue task is met.

The invention relates to the technical field of medicine detection, in particular to a detection method of sildenafil citrate tablets, which comprises the following steps: S1, placing contents and target samples with different water contents in a plurality of containers; s2, determining the drug concentration of each region based on the color development characteristics of the diffused image of the target sample in the container at different detection time points, and calculating the concentration gradient component and diffusion concentration gradient of the target sample; s3, measuring the total amount or the concentration of the residual medicine of the target sample in the plurality of containers in a preset time period so as to determine the residual degree of the target sample; and S4, determining the diffusion difference degree based on the diffusion concentration gradient and the residual degree, and evaluating the diffusion adaptability of the target sample based on the diffusion difference degree. The accuracy and depth of drug diffusion performance research are improved, reliable data support is further provided for drug research and development and quality control, and drug quality can be improved.

According to the document proofreading method and device, the storage medium and the computer equipment provided by the invention, when the document set is proofreading, the document set and the business form of the document set are firstly obtained, the document set is embedded into the canvas to form the document canvas, and a proofreading mode is entered in a manner of forming the document canvas proofreading page through the document canvas and the business form. When it is monitored that a user clicks a service field in the service form in the document canvas proofreading page, field information corresponding to the service field is extracted, and after a field block corresponding to the field information is obtained through retrieval in the document canvas, text information in the field block is analyzed in a highlighted mode, and wireframe display is carried out. And finally, performing field mapping on the text information and the field information, and performing form backfilling or document backflow updating according to a mapping result and a user instruction until the proofreading mode is exited. Therefore, through canvas embedding and field highlight mapping, automatic proofreading can be carried out on multiple documents at the same time, and then the proofreading accuracy and efficiency are improved.

The invention relates to the technical field of intelligent power grids, in particular to an intelligent box-type substation monitoring method based on digital twinning. According to the method, a digital twinborn scene of the box-type substation is built through a three-dimensional model obtained through three-dimensional modeling, a deep learning algorithm model is integrated, and real-time monitoring and future state prediction of operation data of the box-type substation are achieved. And through an improved iTransform model, predicting the operation state of each hardware in a future preset time, and performing real-time simulation display in a digital twinning scene. And automatically triggering a risk early warning mechanism when the risk of abnormal operation, fault or exceeding a preset safety threshold value is predicted. Besides, a remote monitoring center is established, digital twinborn scenes and real-time monitoring data of a plurality of box-type substations are managed in a centralized manner, mobile terminal access is supported, and the response speed and the decision-making efficiency are improved. According to the method, the monitoring efficiency and the fault prediction accuracy are remarkably improved, and a powerful guarantee is provided for safe and stable operation of an intelligent power grid.

The invention discloses a force feedback main manipulator suitable for a puncture surgery robot, and belongs to the technical field of medical instruments, the force feedback main manipulator comprises a base, a position adjusting mechanism, a posture adjusting mechanism and a grip module, one end of the position adjusting mechanism is connected with the base, and the other end of the position adjusting mechanism is connected with the grip module; one end of the position adjusting mechanism is connected with the handle module, the other end of the position adjusting mechanism is connected with the posture adjusting mechanism, the handle module is arranged on the posture adjusting mechanism, and the position adjusting mechanism comprises a position compensation mechanism and a vertical position adjusting mechanism. According to the force feedback main manipulator suitable for the puncture surgery robot, complete decoupling of the position and the posture of the grip module is achieved, a real puncture surgery method is simulated, force feedback is provided for an operation doctor through the force feedback driving module, and the immediacy, intuition and flexibility of the doctor during operation are enhanced.

The invention discloses an intelligent mouse auxiliary control method and device, electronic equipment and a storage medium, and belongs to the technical field of man-machine interaction. According to the method, by means of the computer vision technology, the action of the face of a user is captured in real time, the position of a mouse pointer is accurately calculated, and the user can achieve efficient and visual mouse control through natural movement of the face; meanwhile, due to the introduction of the Bluetooth control ring, the user can send a control signal through simple touch operation, specific operations such as clicking and dragging of the mouse are realized, and the convenience and efficiency of the operation are remarkably improved. The method is equivalent to a traditional mouse in operation precision and intuition, and the learning cost of a user is remarkably reduced. In the aspect of privacy protection, the method only depends on face key points and Bluetooth to control signals of the ring, voice information of a user is not involved, and privacy leakage is effectively prevented. According to the invention, brand new interaction experience can be brought to the user, and a new thought is provided for the development of a future man-machine interaction technology.

The invention discloses a mechanical arm remote cooperation system and method suitable for an inspection robot, and belongs to the technical field of inspection robots, the system comprises a six-axis synchronous mechanical arm, a mechanical arm remote operation device and a communication link, the six-axis synchronous mechanical arm is applied to the inspection robot, and the mechanical arm remote operation device is applied to the inspection robot. The mechanical arm teleoperation device is used for obtaining hand motion data of an operator and generating a corresponding control instruction, the control instruction is transmitted to the six-axis synchronous mechanical arm through the communication link, the six-axis synchronous mechanical arm executes corresponding actions according to the received control instruction, and real-time state information is fed back to the mechanical arm teleoperation device through the communication link. The mechanical arm teleoperation device dynamically adjusts the control instruction according to the fed-back real-time state information, and bidirectional feedback control is achieved. According to the mechanical arm remote cooperation system and method, the operation flexibility, accuracy and efficiency of the inspection robot can be remarkably improved, meanwhile, the labor intensity of an operator is reduced, and it is ensured that an inspection task is safely and efficiently completed.