35 results about "Graphic analysis" patented technology

The invention relates to the technical field of image-text data processing, provides a digital enterprise management data analysis method and system based on artificial intelligence, and is used for generating a visual image-text analysis report on the basis of comprehensive and multivariate supply chain data by fusing dynamic decision logic, improving the comprehensiveness, dynamism and decision guidance of image-text generation and improving the user experience. Therefore, the enterprise management system is effectively guided to dynamically adjust the supply chain. The method comprises the steps of collecting a supply chain data set of a target enterprise, and performing feature extraction on the supply chain data set to obtain a supply chain trend prediction feature set and a supply chain anomaly detection feature set; based on a preset reinforcement learning decision optimization model, performing dynamic decision path generation processing on the supply chain trend prediction feature set and the supply chain anomaly detection feature set to generate a multi-stage decision optimization path; and generating a visual image-text analysis report according to the multi-stage decision optimization path and the supply chain data set, and feeding back the visual image-text analysis report to the enterprise management system.

The invention discloses a tobacco sales volume prediction method and device based on intelligent logistics, tobacco sales volume prediction is performed through a tobacco sales volume prediction model, and the tobacco sales volume prediction model comprises a trained ARIMA module, a trained LSTM module and a combination module; when the ARIMA module is trained, firstly, a graphic analysis method is used for carrying out sequence stability detection, differential operation is used for carrying out stationary processing on a non-stationary sequence, then fitting is carried out through determined hyper-parameters, and residual errors of the module are checked so as to verify whether the noise is white noise or not; the combination module improves the precision of the prediction result of the ARIMA module by calculating the residual error, and finally, the prediction result of the ARIMA module after the precision is improved and the prediction result of the LSTM model containing multiple variables are subjected to weighted combination to obtain a final prediction value; according to the method, the accuracy of a prediction result can be improved, and the influence of various cigarette specifications and complex environmental factors on tobacco cigarette prediction is reduced.

The present invention provides a semantic analysis and recognition method and system based on a weakly supervised network. By calculating the eigenvalue of the histogram of each frame in the gradient direction, the jumping point is found to start the weakly supervised network model. The weakly supervised network architecture is used to quickly process the data stream, effectively reducing the error value of data processing. The semantic analysis model and the graphic analysis model are input in parallel to determine whether the multimedia data stream involves sensitive data, thereby restricting the use of sensitive data.

The present invention provides a method and system for classifying and quantifying metal powder defects based on geometric morphological parameters, including the following steps: Step 1: Obtaining a metal powder sample and preparing a sample; Step 2: Observing the powder to obtain relevant image data; Step 3: Using a graphic analysis tool to identify, segment, and extract the features of each metal powder to obtain the relevant geometric parameters of the metal powder; Step 4: Extracting a preset number of metal powders as samples based on the metal powder category and training a machine learning classification algorithm; Step 5: Preparing a corresponding sample, obtaining all the geometric parameters of the metal powder, and using the trained machine learning model to classify and quantify the powder morphology to obtain a quantitative map of the metal powder morphology distribution; Step 6: Assessing whether the powder quality and yield meet requirements. This method can more accurately assess metal powder quality, ensure the quality of metal powders used in additive manufacturing, and improve the service performance of additively manufactured components.

The invention discloses an intelligent quotation system and method for a cutting die. The intelligent quotation system comprises a data input module, a graph analysis calculation module, a pricing calculation module, a preview display module and a data storage module, the method comprises the following steps: step 1, inputting data; 2, analyzing and calculating the graph; step 3, pricing calculation; 4, outputting a result; the data input module supports multi-format drawing analysis and non-drawing parameterization modeling, and is matched with the functions of file analysis, layer identification, bridge location completion and makeup analysis, so that the manual operation threshold is greatly reduced, the quotation efficiency and precision are improved, and the layer identification accuracy can be gradually improved by recording user habits; a double-track evaluation mechanism of the graph analysis calculation module realizes objective quantification of processing difficulty, and the pricing calculation module is combined with a continuous marginal coefficient algorithm to ensure quotation accuracy and smooth price transition; and high efficiency, precision, standardization and convenience of cutting die quotation are integrally realized.

The invention provides an application testing method and related equipment, and the method comprises the steps: carrying out the graphic analysis and action analysis of a user interface of a to-be-tested application, and obtaining first information; based on the first information, matching with a pre-constructed sequence library to obtain a first test sequence of the user interface; determining a second test sequence from the first test sequence by using a large language model; and testing the to-be-tested application by using the second test sequence. According to the embodiment of the invention, the whole test process is divided into two parts of in-screen test and inter-screen jump. A test sequence generation scheme is provided aiming at the logicality of the test sequence in the screen, and the test sequence is obtained based on the matching result of the first information and the sequence library. Aiming at the logicality of inter-screen jump, a test sequence which most accords with a test target is selected by means of the logic processing capability of a large language model. And a complete logical test case generation scheme is realized.

The present invention discloses a video linkage system based on large-scene video monitoring. The system analyzes the orientation of all cameras of a controlled scene through a viewing direction analysis unit to obtain their orientation positions, and after determining the coverage area according to the orientation position, forms a standard architectural model of the controlled scene; then, the controlled video group is initially spliced ​​by a cutting and splicing unit in combination with the architectural model, and all controlled videos are initially fused to obtain an initially fused video, and the intersection area is processed in a preliminary manner; then, the cutting and splicing unit is used to transmit the architectural model and the initially fused video to a picture direction analysis unit via a processor, and the picture analysis unit is used to perform a two-way analysis on the real-time initially fused video in combination with the picture direction splicing unit, and the display screen of the intersection area is displayed in the manner provided by the present application, and abnormal conditions are monitored in real time, thereby providing a reasonable and efficient joint monitoring system; the present invention is simple, effective, and easy to use.

The disclosure provides a string-based graphical analysis method, which defines the hierarchy, layout direction, size ratio and state color of a graph by designing a nested string DSL, converts the string expression into standard structured data using an analysis engine, and finally dynamically generates a visual graph through a rendering engine; this method abstracts complex graph layout into dataable semantic templates, allowing users to quickly build and modify complex nested graphs in a minimalist text form, while relying on a color and state binding mechanism and standardized data output to achieve flexible definition, efficient parsing, dynamic rendering and real-time state updating of graph layout in server cluster monitoring, distributed system state display and other scenarios, effectively solving the problems of low development efficiency, high maintenance cost and lack of dynamics in traditional hard coding methods.

The application relates to the technical field of graphic data processing, and provides a digital enterprise management data analysis method and system based on artificial intelligence, which is used for generating a visual graphic analysis report by fusing dynamic decision logic based on comprehensive and diversified supply chain data, improving the comprehensiveness, dynamics and decision guidance of graphic generation, and effectively guiding the supply chain dynamic adjustment of an enterprise management system. The method comprises the following steps: collecting a supply chain data set of a target enterprise, performing feature extraction on the supply chain data set, obtaining a supply chain trend prediction feature set and a supply chain anomaly detection feature set; based on a preset reinforcement learning decision optimization model, performing dynamic decision path generation processing on the supply chain trend prediction feature set and the supply chain anomaly detection feature set, and generating a multi-stage decision optimization path; generating a visual graphic analysis report according to the multi-stage decision optimization path and the supply chain data set, and feeding back the visual graphic analysis report to an enterprise management system.

The present invention is applicable to the field of computer technology, and provides a method for extracting features from appearance intelligent detection, a computer system and a storage medium. The method comprises the steps of importing CAM data of a target drawing, performing graphic analysis and magnification conversion on each target graphic in the target drawing, automatically matching the graphic elements of the target graphic with a preset template, and extracting the graphic elements of the target graphic in the target drawing through the preset template. The present invention effectively solves the problem of programming difficulties in the early stage of detection and improves detection efficiency.

The invention relates to a prostate MRI graphic analysis method. The method comprises the following steps: S1, establishing a prostate malignant tumor clinical diagnosis medical case database; s2, a prostate MRI image full-automatic segmentation model is established and trained; s3, the input prostate MRI image is segmented; s4, shape features, first-order statistical features, texture features, wavelet features and depth features of the segmented prostate MRI image are extracted and screened; and S5, inputting the screened radiomics characteristics into a prostate malignant tumor analysis model to obtain an analysis result. The method has the advantages that through the E2C-Transform network, the prostate tumor MRI image can be smoothly processed, the characteristic area of the prostate can be enhanced and reserved, the image noise can be reduced to the maximum extent, and the accurate and high-quality segmentation of the prostate MRI image can be ensured; and an integrated algorithm combining the feature sparsity of the LASSO characteristics and the information screening advantage of the correlation entropy is adopted, so that the accuracy of the analysis model is enhanced, and the transparency and interpretability of the model decision are ensured.

The present disclosure relates to a barcode information recognition method, device, equipment and storage medium, the method comprising: acquiring an image containing barcode information; recognizing the text in the image to obtain a text recognition result corresponding to the barcode information; analyzing the barcode in the image to obtain a graphic analysis result corresponding to the barcode information; and determining a recognition result of the barcode information based on the text recognition result and the graphic analysis result. The present disclosure can accurately recognize barcode information, improve the recognition effect for incomplete or blurred barcode information, and thus meet the actual application requirements of barcode information recognition.

1. The name of the product under this design: Graphics Generator (AGS1000P). 2. Purpose of this design product: used for graphic analysis and graphics processing. 3. The key point of the design of this product lies in its shape. 4. The picture or photo that best illustrates the design points: three-dimensional picture.

The invention discloses an electromagnetic voltage transformer error optimization analysis method, which comprises the following steps of: 1, expressing PT (potential transformer) load error characteristics as a complex number, and expressing a load complex error vector distribution area by a complex error vector circle according to the load characteristics in a complex number rectangular coordinate system; step 2, carrying out intuitive graphical analysis on PT load error and synthetic error characteristics according to the complex error vector circle; and step 3, based on the error relation shown by the complex error vector circle diagram, adjusting the PT ratio error, the angle difference proportion and the polarity, so that the electric energy metering error caused by the PT error is minimum. According to the complex error vector circle graphic analysis method, the PT ratio error, the size of the angle difference and the positive and negative change rule can be visually displayed, the PT ratio error and angle difference ratio and polarity adjustment are achieved, therefore, the comprehensive error of a corresponding metering electric energy device is minimum, and fairness and justice of electric energy metering are achieved.

The present invention provides a visual semantic detection method and system based on key frames. By calculating the eigenvalue of the histogram of the frame image in the gradient direction, the eigenvalue jump point is obtained, and video sampling, vectorization, and convolution operations are performed to obtain key frames. At the key frames, dimension conversion and plane division are carried out, and graphic analysis is performed on the frame images in the same plane to determine whether the frame images and data streams are compliant.

The invention discloses a temporary graphics database. A server computing device (10) includes one or more server memory devices (14) that store a relational database (32). The server computing device also includes one or more server processing devices (12) configured to receive the temporary graphics database request (52). The temporary graphic database request indicates a selection (54) of data (36) stored in the relational database. The processing device generates a temporary graphics database (42) that encodes the selected data into a graphics structure (44) and stores the temporary graphics database in a binary large object (BLOB) storage (40) at one or more memory devices. The processing device receives instructions (60) to apply a graphics analysis algorithm (62) at the temporary graphics database. The processing device reads the temporary graphics database from the BLOB storage and applies a graphics analysis algorithm to the temporary graphics database to generate a graphics analysis result (64). And the processing equipment outputs a graphic analysis result and deletes the temporary graphic database from the BLOB storage device.

The invention provides an automatic aviation product measurement system analysis method, and belongs to the field of aviation engine product detection, and the method comprises the steps: S1, building an MSA function module, and setting a display page; s2, designing a data acquisition template, acquiring measurement data, and generating a measurement data table; and S3, importing the measurement data table into an MSA result analysis module, complementarily analyzing the information of the measured size, performing GRR index analysis and graphic analysis, and outputting an analysis report. According to the method provided by the invention, function development is carried out in a digital detection system platform template block, customized development of an MSA report recording template is carried out in combination with an existing business process, database management and process logic relation matching are carried out through a digital detection platform, data import, data analysis and graphic display are realized, and a report is automatically generated.

The present application relates to the field of integrated circuit design, and specifically to a method for improving the graphic resolution capability of a planar fully depleted silicon-on-insulator device, comprising the following steps: obtaining data of a main graphic on an integrated circuit; inserting a virtual graphic according to the data; screening out graphics that are prone to rounded corners according to a predetermined rule; inserting scattering strips at at least part of the corners of the screened graphics; inserting scattering strips according to the data; and performing the step of correcting the optical proximity effect. By inserting scattering strips at the corners of graphics that are prone to rounded corners, the rounding of the graphics is greatly reduced, thereby improving the resolution of the main graphics and the graphic resolution capability, and improving the yield of the product.

The invention discloses an electric power multi-dimensional safety management and control system which comprises an operation and maintenance management module, a peripheral management module, an intrusion violation identification module, a cabinet on-demand locking module, a visual analysis module, a comprehensive analysis module and a data transmission module. The operation and maintenance management module is used for performing unified authorization, auditing and high-risk instruction management and control on behaviors of operation and maintenance personnel; the peripheral management module is used for controlling access of peripherals and realizing access safety management of the terminal equipment; the invasion violation identification module is used for identifying personnel invasion and violation behaviors; the cabinet on-demand locking module is used for remotely controlling opening and closing of a cabinet door lock; the visual analysis module is used for displaying a dynamic graphic analysis interface of alarms, states and trends; the comprehensive analysis module is used for constructing user behavior portraits and evaluating risks; the data transmission module is used for safely transmitting file data. According to the invention, systematic and continuous evaluation can be carried out on the operation quality, compliance and trust of operators, so that the illegal network security alarm rate is reduced.

Auxiliary device for automatically identifying a key vendor of a vendor network providing material for operating an industrial plant, the auxiliary device comprising:-a data interface module (11) configured to receive a knowledge graph (20) comprising basic information (fnodeat-tribate) about the vendor network,-a graphic analysis module (12) configured to analyze the basic information (fnodeat-tribate) of the vendor network, the present invention relates to a knowledge graph system (10) comprising:-a basic information (fnodeatt) configured to determine at least one piece of importance information (fcenality) of a node of a knowledge graph,-a graph neural network processing module (13) configured to receive as inputs the basic information (fnodeatt) and the importance information (fcurrent) and to output risk scores (25) for all vendors by processing said inputs, and-an output interface module (14) configured to output risk scores (25) for all vendors by processing said inputs, it is configured to present a key vendor having a risk score above a predefined threshold to a user.

The invention provides a small reservoir dynamic critical rainfall real-time efficient early warning method considering rainstorm duration, and the method comprises the steps: carrying out the digitalization and feature extraction of a natural drainage basin through geographic space data, and transplanting the rainfall runoff relation parameters of a region with data to a small reservoir drainage basin without data; the method comprises the following steps: comprehensively considering the influence rainfall and the real-time water volume in the early stage of a drainage basin, setting the reservoir-out total water volume factor under a rainstorm duration condition, finely dividing each stage of reservoir-in flood, reservoir-out flood and water level changing along with time in a flood development process based on a graphic analysis method, and finally calculating by adopting a transplanted rainfall runoff relationship to obtain a small reservoir critical rainfall value; and carrying out grid matching on the meteorological rainfall numerical forecasting result and the water collecting area of the small reservoir basin, and comparing the estimated rainfall within the set rainstorm duration with the critical rainfall analysis result to realize real-time early warning of the disaster-causing rainstorm. The method is high in operation efficiency, and can provide technical support for flood risk early warning of the small reservoir in a large-scale data-free area.

1. Name of the product in this design: Viewing panoramic graphic analysis graphical user interface for electronic devices. 2. Purpose of this design: An electronic device. 3. The key design feature of this product is its graphical user interface. 4. The image or photograph that best illustrates the design's key features: the front view. 5. Electronic devices are designed in a conventional way, so other views are omitted. 6. Purpose of the graphical user interface: The product interface is an interactive interface for viewing panoramic graphical analysis; it is used for the overall viewing and monitoring of various themes and data pages through visual graphics and text displays. The content includes: overall situation of digital financing, government procurement loan module, daily disbursement scrolling screen display module, Chongqing Finance Credit module, and foreign trade loan module. Users can click on any module to view details; the gray area of ​​the interface is the content screen.

The invention provides an asynchronous mode system for executing graphic analysis in a fault-tolerant environment. The invention further discloses a system for randomizing trace approximation calculation based on an asynchronous calculation system structure. The system retrieves an adjacency matrix associated with the complex graph. The system determines a random vector based on the retrieved adjacency matrix. The system generates a matrix vector based on the adjacency matrix and the random vector. The system determines a first set of natural numbers based on a first dimension of the adjacency matrix. The system selects a subset of entries from the generated matrix vector based on the determined first set of natural numbers. The system determines a diagonal random matrix based on a sum of canonical outer products formed by the selected subset of entries. The system calculates a trace approximation of the adjacency matrix based on the determined diagonal random matrix and the selected subset of entries, and stores the calculated trace approximation of the adjacency matrix.

This invention relates to the field of shell assembly technology, and discloses a method and system for constructing an assembled environmental protection cabinet using aluminum-zinc plates with multiple folded edges. The method includes: performing graphic analysis on an acquired environmental protection cabinet design scheme to obtain a shell structure diagram and shell description information; performing feature extraction operations on the shell structure diagram, aluminum-zinc plate information, and shell description information to obtain a shell structure feature set, a plate feature set, and a shell description feature set, respectively; analyzing the shell structure feature set to obtain a set of splicable areas; performing stress requirement simulation analysis on the shell structure diagram to obtain a set of stress requirement features; and performing folded edge pattern recognition operations on the set of splicable areas based on the plate feature set, shell description feature set, and stress requirement feature set to obtain the folded edge pattern results corresponding to each splicable area in the set of splicable areas, thereby enabling production and installation. This invention can reduce plate consumption and improve the assembly quality of the environmental protection cabinet shell.

The invention relates to the technical field of analysis technology application, in particular to a quick and convenient white granulated sugar color value analysis method. The method comprises the following steps: extracting image RGB (Red, Green and Blue) information of a standard sample and an unknown to-be-detected sample which are photographed under the same environmental condition by using a graphic analysis technology, and calculating a total average RGB array by using a weighted average algorithm; the method comprises the following steps: forming a four-variable space coordinate point by using related RGB of a standard sample with a known color value A, and performing linear fitting on the coordinate point to obtain a fitting equation; and then (Rx, Gx, Bx) information of an unknown sample to be detected is substituted to calculate a corresponding color value Ax. Compared with an existing ICUMSA international method and a domestic national standard GB / T35887-2018 white granulated sugar test method, the image recognition method is superior to a conventional chemical method in operation, time and cost.

1. Name of the product of this design: Panoramic graphic analysis graphical user interface for electronic equipment. 2. Purpose of the product of this design: an electronic device. 3. The key design features of this design product are the part of the graphical user interface in the electronic device for which protection is sought. 4. The picture or photo that best illustrates the key points of the design: Main view of Design 1. 5. Designate Design 1 as the base design. 6. Purpose of the graphical user interface: The product interface of Design 1‑2 is an interactive interface for viewing panoramic graphic analysis; it is used for global viewing of the distribution of capability themes and the proportion of capability themes in panoramic graphic analysis; in the main view of Design 1, after clicking the "Global View Bar Chart" button in the upper right corner, the Design 1 interface change status diagram is displayed; in the main view of Design 2, after clicking the "Global View Pie ​​Chart" button in the upper right corner, the Design 2 interface change status diagram is displayed; the gray area of ​​the interface is the content screen.

The application provides a method for determining the genesis and sedimentary environment of siliceous rocks by using multi-index comprehensive analysis, relates to the technical field of geological exploration and geochemistry, and comprises the following steps: pretreating a siliceous rock sample to obtain a to-be-tested powder sample; testing the to-be-tested powder sample to obtain the content of corresponding elements; calculating and obtaining a genesis parameter for characterizing the genesis type of the siliceous rock, and then obtaining a genesis type determination result; calculating and obtaining an environment parameter for characterizing the sedimentary environment of the siliceous rock, and then obtaining a sedimentary environment determination result; and comprehensively analyzing and cross-verifying the determination results to form a final discrimination conclusion. The application can effectively distinguish hot water deposition, biological genesis and composite genesis siliceous rocks by comprehensively analyzing multiple indexes such as major elements, trace elements and rare earth elements, and combining multiple graphic cross-verifications, obviously reduces the multi-solution and subjectivity of traditional single-index discrimination, and accurately determines the sedimentary environment such as continental margin and ocean basin through element ratio and graphic analysis.

The present disclosure provides an image search method, apparatus, intelligent agent, electronic device, and storage medium, relating to the field of artificial intelligence technology, particularly computer vision, deep learning, large models, image search, and other technical fields, and can be applied to scenarios such as AIGC-based content generation based on artificial intelligence. The method includes: obtaining at least one first candidate image that matches input text information; using a first large model to perform semantic analysis on the input text information to generate at least one question-answer pair, the question-answer pair including question information and first answer information; using a second large model to perform graphic analysis on the at least one question information and at least one first candidate image to generate second answer information for each question information; and determining, based on a comparison result between the at least one first answer information and the at least one second answer information, at least one target image that matches the image search requirement from the at least one first candidate image.

The invention relates to AR intelligent identification glasses for a power grid machine room. Comprising a glasses frame and glasses legs, a display system is arranged on the glasses frame, a camera is arranged on each glasses leg, a control mainboard is arranged in one side of each glasses leg, a control system, a wireless transmission system and a graphic processing system are arranged on each control mainboard, and the wireless transmission systems and the graphic processing systems are connected with the control systems. The camera is electrically connected with the display system, the wireless transmission system and the graphic processing system, the display system is electrically connected with the graphic processing system, the wireless transmission system is connected with the data center through wireless signals, and a scene graphic modeling module, a scene graphic storage module and a scene graphic analysis module are arranged in the graphic processing system. According to the invention, the problem of frequent wrong watching or missing watching during inspection can be overcome through the AR intelligent identification glasses, and the timeliness of fault reporting is realized.

The application belongs to the technical field of computer hospital, and particularly relates to a method for establishing an early diagnosis model of intestinal adenocarcinoma based on peripheral blood detection, which comprises the following steps: collecting serum samples; detecting by using a Raman spectrometer; performing graphic analysis and data processing on the collected Raman spectrum signals; and constructing a deep learning model architecture. The application successfully constructs a natural language model suitable for Raman spectrum data processing and analysis, and further constructs a recognition model of patients with colorectal adenoma and adenocarcinoma. The application successfully develops a screening method for colorectal adenoma and adenocarcinoma based on peripheral blood Raman spectrum detection.