11 results about "Graphic analysis" patented technology

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 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 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 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.

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 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 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.

The invention relates to the technical field of particle sorting, in particular to a particle analyzing and sorting device and method based on the image recognition technology, and the device comprises a support, a first transparent cover, a conveying assembly, a graphic analyzing assembly, an intelligent sorting assembly and a vibration feeding assembly. The graphic analysis assembly comprises a graphic processor, a first camera, a second camera, a third camera and a light-transmitting plate, the vibration feeding assembly is used for feeding particles, the conveying assembly is used for moving, and when the particles pass through the first camera, the left view of the particles is captured; the top view of the particles is captured when the particles pass through the second camera, the right view of the particles is captured when the particles pass through the third camera, the top view and the right view are transmitted to the graphics processor, the morphology types of the particles are judged, and the particles are sorted by matching with the intelligent sorting assembly. The practical problems that 3D printing is high in cost and small-particle-size particles cannot be manufactured are solved, and a new thought and scheme are provided for research on the morphological characteristics of granular materials.

The application provides a method and device based on clinical intelligent decision-making and a storage medium, and comprises the following steps: determining a body part as a detection target based on a clinical condition of a patient and obtaining a specific body model; controlling a collection device to extract multi-modal information of the detection target in time sequence, generating a decision support curve corresponding to the specific body model based on the time sequence and index value of the multi-modal information; dividing the decision support curve based on clinical treatment information to obtain a plurality of sub-functions, generating a corresponding dynamic decision geometry based on the sub-functions, and outputting a decision result of the clinical treatment information after performing graphic analysis on the dynamic decision geometry.