25 results about "Comparison diagram" patented technology

The invention relates to the technical field of intelligent manufacturing, in particular to a nodular cast iron alloy component self-adaptive optimization method and system based on artificial intelligence, and the method comprises the following steps: obtaining furnace temperature and component parameters, generating a stable comparison legend, screening offset abnormal combinations to form an available set, extracting performance curve characteristics to construct a trend chart, and obtaining a nodular cast iron alloy component self-adaptive optimization result. And superposing the structural parameters and the element distribution positioning segregation area, and outputting feeding correction parameters to generate an optimization scheme. According to the method, normalization processing is carried out on furnace temperature, carbon-silicon ratio and other multi-factor offset values, a component offset map is constructed, trend feature extraction and sorting of response curves under multiple working conditions are combined, component combinations with stable performance are screened out, a mapping relation is established through the structural curvature, the wall thickness slope and the injection rate, and a spatial coincidence map is generated through coincidence analysis. And the feeding direction and the injection rate are inversely calculated, dynamic adaptation of components and the structure is achieved, and the structure uniformity and the performance consistency are improved.

The invention discloses a natural gas pipeline leakage detection method based on novel wavelet basis transformation and singular value decomposition in a two-dimensional convolutional neural network. Firstly, a sound signal collected by a sound wave sensor is converted into a digital signal; secondly, in the data preprocessing stage, singular value decomposition is carried out on the digital signals to effectively eliminate background noise interference, and then batch normalization is carried out on the processed data; then, converting the one-dimensional time sequence signal into a two-dimensional time-frequency image by adopting a self-defined Morlet wavelet basis function; and finally, based on the time-frequency images, constructing and training a 2D-CNN model for fault classification, and presenting a diagnosis result through a confusion matrix and a comparison graph. According to the method, 97.55% of fault recognition accuracy is obtained in a public data set, and compared with other competitive methods, the method shows more excellent noise robustness and classification performance, and has higher accuracy and wide application prospects in pipeline leakage diagnosis in a complex noise environment.

The invention provides a port image analysis method, system and device based on a random matrix, and a medium, and relates to the technical field of port inspection image processing, and the method comprises the steps: obtaining a port inspection image; creating two random matrixes; performing interpolation operation on the two random matrixes by using a bilinear interpolation function; constructing a chaotic system, and adding disturbance parameters to enhance nonlinearity in combination with an interpolation function and a random matrix to obtain a Jacobian matrix; calculating a maximum index value; if the maximum index value is greater than 0, determining that the system is in a chaotic state; drawing a curve of indexes changing along with time, and analyzing sensitive parameters of the system; row and column replacement and bitwise XOR processing are carried out on pixels by using the stable segment of the chaos sequence; performing decryption processing; and outputting the comparison diagram. According to the method, the dynamic key is generated in combination with the random matrix and the sensitive parameters by adopting an encryption mode based on the chaotic sequence, and the image pixels are subjected to multi-stage encryption processing by utilizing the transient state of the chaotic system, so that the security of an encryption algorithm is improved.

To facilitate comparison between respective pieces of data on multiple events that have occurred.SOLUTION: A display device 1 includes: a data extracting unit 12 that extracts, as event-occurrence-time data, data on a first item which satisfies a first condition that represents a presently occurring event among time-series data on the first item for monitoring the occurrence of the certain event; a comparison graph creating unit 13 that creates a comparison graph which lists up the multiple pieces of event-occurrence-time data extracted by the data extracting unit 12; and a display unit 30 that displays the created comparison graph.SELECTED DRAWING: Figure 1

The invention discloses a method and device for determining a well bore structure based on geological risks, and relates to the technical field of drilling engineering. The method comprises the following steps: constructing a three-dimensional comparison graph of a target well and an adjacent well in different depth domains based on a complex formation-actual drilling depth relation graph of the adjacent well, a target well-adjacent well seismic profile and a target well-adjacent well logging interpretation profile; according to the seismic features, logging features and actual drilling features of the target well and the adjacent well in different depth domains, determining probability distribution of complex stratums of the target well in different depth domains; determining an initial evaluation risk point and an initial evaluation required sealing point corresponding to the target well according to the probability distribution; performing reduction treatment on the initial evaluation required sealing points and the initial evaluation risk points by utilizing preset optimization processes of different complex stratums to obtain final selection required sealing points and final selection risk points corresponding to the target well; and casing design is conducted according to the final selection required sealing points and the final selection risk points, and the well bore structure of the target well is determined. The method is used for improving the safety and economical efficiency of well depth structure design.

The application discloses a method and device for determining well structure based on geological risk, and relates to the technical field of drilling engineering. The method comprises the following steps: based on the complex formation-drilled depth relation diagram of adjacent wells, the target well-adjacent well seismic profile and the target well-adjacent well well logging interpretation profile, a three-dimensional comparison diagram of the target well and the adjacent well in different depth domains is constructed; according to the seismic characteristics, the well logging characteristics and the drilled characteristics of the target well and the adjacent well in different depth domains, the probability distribution of the complex formation existing in the target well in different depth domains is determined; according to the probability distribution, the initial evaluation risk points and the initial evaluation points to be sealed of the target well are determined; the initial evaluation risk points and the initial evaluation points to be sealed are respectively reduced by using the preset optimization process of different complex formations, so that the final selected points to be sealed and the final selected risk points of the target well are obtained; and according to the final selected points to be sealed and the final selected risk points, casing design is carried out, and the well structure of the target well is determined. The application is used for improving the safety and economy of the well depth structure design.

Problem: To provide a drawing processing device that enables easy visualization of differences when two pieces of drawing data are compared.Solution to Problem: A drawing processing device includes a request reception unit (204) configured to receive a comparison request for comparing reference drawing data (D10A) being drawing data that serves as a reference and comparison drawing data (D10B) being drawing data to be compared to the reference drawing data (D10A), and identifies a reference drawing area (10-1A to 10-3A) surrounding a drawing element (11-1A to 11-3A) included in the reference drawing data (D10A) of the comparison request received by the request reception unit (204) and a comparison drawing area (10-1B to 10-3B) surrounding a drawing element (11-1B to 11-3B) included in the comparison drawing data (D10B) of the comparison request received by the request reception unit (204), thereby generates drawing display information (D12) for displaying the identified reference drawing area (10-1A to 10-3A) and comparison drawing area (10-1B to 10-3B) in a superimposed manner.

The invention provides a phase synchronization detection system and method for multipath HDMI signals, and the method comprises the steps: receiving multipath HDMI input signals transmitted by a corresponding decoding card group through each phase detection device, and extracting phase detection data from the multipath HDMI input signals; performing multi-dimensional cross comparison on the phase detection data through a phase analysis algorithm to obtain deviation detection data; performing dynamic coding compression on the deviation detection data to obtain compressed detection data; distributing priority labels to the compressed detection data according to different types; transmitting the compressed detection data to the user terminal according to the priority label; the user terminal receives the compressed detection data sent by the plurality of phase detection devices at the same time, and decodes the compressed detection data to obtain deviation detection data; generating a phase comparison diagram updated in real time according to the deviation detection data; and each phase detection device is externally connected with a display for displaying a comparison diagram of each path of HDMI input signals received by the phase detection device.

In an example, a method to compare graphical diagrams may include comparing a first set of graphical objects of a first graphical diagram to a second set of graphical objects of a second graphical diagram. The method may include, in response to one or more identifying properties of a given graphical object of the first set matching one or more identifying properties of a given graphical object of the second set, declaring the given graphical object of the first set and the given graphical object of the second set a matched pair. The method may include marking each unmatched graphical object a deleted graphical object or an added graphical object. The method may include generating and displaying a comparison graphical diagram that visually identifies differences between the first and second graphical diagrams.

This invention relates to an experimental method for detecting the high-temperature plasticity of the edges and corners of microalloyed steel billets, belonging to the technical field of steel process performance testing. The technical solution includes: Experiment A: high-temperature melting test of the billet; Experiment B: high-temperature plasticity test of the billet; Experiment C: bending and straightening plasticity test of the billet; measuring the fracture diameter of the tensile fracture specimen and calculating the reduction of area; based on the experimental results of Experiments B and C at different temperatures, plotting a comparison diagram of the high-temperature plasticity of the billet edges and corners with the test temperature as the X-axis and the reduction of area as the Y-axis, thereby accurately determining whether there is a brittle temperature range in the billet and its edges and corners, and analyzing the high-temperature plasticity of the billet edges and corners based on the experimental results. The beneficial effects of this invention are: simulating the process of rapid cooling and latent heat reheating of the billet edges and corners during actual production, plotting the high-temperature plasticity diagram of the billet edges and corners, accurately detecting and analyzing the high-temperature plasticity of the billet edges and corners, and confirming whether the low-temperature zone of the billet and its edges and corners will cause abnormalities due to excessively low plasticity.

A computer-implemented method selects publicly traded assets suitable for trading consideration. A computer accesses market databases, selects assets, and defines an analysis configuration with parameters and timeframes common across assets. For each parameter-timeframe series, the computer forms a normalizing indicator from at least two smoothed sequences and builds multiple deviation bands using specified band families and settings. Within a time window, boundary-crossing events of the indicator are detected for each band. For every asset, the computer records counts of boundary crossings in a result matrix, computes an integral score, optionally with weights, and forms an ordered set of result matrices obtained under alternative configurations. An asset-level output includes a per-matrix score and a set-wise score, such as a sum of per-matrix scores. Assets may be sorted or grouped by these values, and results may be visualized as comparison charts.

The images represented in the image diagrams are interactive graphical user interfaces (GUIs) that visually convey information to a user related to systems for (i) creating and / or modifying and / or analyzing unit operations and data generated therefrom in manufacturing processes, such as cell and gene therapy manufacturing processes, (ii) combining live data from databases with textual information, and (iii) interactive analysis of data (e.g., patient data visualization systems) and analysis of data related to manufacturing processes. (A. Graph-Based Visualization and Interactive Data Views for Pharmaceutical Manufacturing Process Data Reconciliation) For example, in certain embodiments, the images represented in the image diagrams are associated with graph-based visualization tools that enable a user to analyze data related to one or more experiments and / or manufacturing processes used to produce pharmaceutical products and / or variations thereof. In particular, the images for graph-based visualization and data analysis GUI tools represented in the image diagrams can be used in association with GUIs that enable a user to automatically and / or semi-automatically (e.g., in conjunction with user review and / or input) generate visualizations that facilitate the examination of experiments and / or manufacturing processes and reconcile data generated across multiple processes and / or process runs. For example, among other things, the interactive graph-based visualization tools and their images may be provided (e.g., rendered) individually or together via one or more GUIs or windows, sub-windows, panels, etc. Comparing and Reconciling Multiple Processes In certain embodiments, the images represented in the pictorial diagrams are used as GUIs that provide graph-based visualization tools that provide comparison and / or reconciliation of data from multiple experiments and / or manufacturing processes, e.g., in an automated and / or semi-automated manner (e.g., in conjunction with user interactions such as review and selection actions). Among other things, the images represented in the pictorial diagrams include designs that overlay multiple graph processes, structurally compare them, and reconcile them based on data points.For example, images presented in pictorial diagrams may provide rendering data, missing data, or anomalies created by process comparison and reconciliation tools that (e.g., automatically) identify and address discrepancies and can be used to generate harmonized data sets for further analysis, such as mathematical modeling. Thus, among other things, the graph-based visualization tools provided in images presented in pictorial diagrams address the challenges presented by unreconciled data across multiple experiments and / or manufacturing processes and / or within a single process that may be run under varying conditions. Achieving automated reconciliation of such data is a significant challenge that, if not addressed, hinders effective and accurate analysis, which, in turn, can dramatically impact a user's and / or organization's ability to optimize and / or maintain manufacturing process quality and / or develop new processes. Among other things, graph-based visualizations and the images presented in pictorial diagrams may aid in adjusting sampling points to maximize overlay for effective comparison and / or, in certain embodiments, identify overlapping points in existing data for effective real-time analysis. In some embodiments, structural differences between different processes indicate variations in conditions (e.g., temperature, duration, chemical concentrations), as well as the sequence and / or presence of certain steps. While unit operations (basic steps or stages in a process) may be generally similar to other processes, unique conditions and / or sequences can greatly affect the outcome, or the nature of the product or result. Thus, images presented in pictorial diagrams that provide visual display tools can be extremely valuable in process optimization, troubleshooting, and ensuring that a process meets desired specifications.For example, changing the device performing a unit operation and / or certain parameter values ​​within the unit operation (e.g., rotation speed, total volume, duration, etc.) can have a significant impact on the quality, recovery, efficacy, etc. of the output of that unit operation, which in turn can affect characteristics such as the biological / potency of the product, and additionally or alternatively, factors such as the cost of production, the number of doses produced per manufacturing run, and the like. Thus, among other things, images represented in pictorial diagrams can be associated with and provided as GUIs that present generated data, such as automatically generated data (e.g., using ontologies), to help identify commonalities and / or differences between studies and facilitate analysis to determine, for example, whether device or parameter changes have significant impacts. Among other things, graph-based visualization tools represented in pictorial diagrams, as described herein, provide users with visual representations of one or more manufacturing processes via a graph-based approach that easily communicates and highlights differences in conditions and unit operation, as well as their nature. For example, images represented in pictorial diagrams can include visual features that highlight unadjusted data points. This approach facilitates the identification and correction of data reconciliation issues, thereby streamlining data analysis for research and process development conducted in the creation and production of pharmaceuticals, such as cell-based therapeutics and biologic drugs. (i. Process Graph with Interactive Nodes) The image diagram shows an example of a graph-based visualization of a manufacturing process. As shown in the image diagram, a manufacturing process can be represented and displayed via a process graph. Each node in the process graph represents a data point corresponding to a unit operation in the particular manufacturing process that it (e.g., the process graph) represents. The node may include information about the current data state and content (e.g., in real time) of the data point that it represents.Within a graph-based visualization, nodes can be dynamic, such that, for example, user interaction with a particular node (e.g., mouse hover, click, touchscreen tap, or long press) triggers the display of a tooltip indicating the current data state of the displayed data point, including data collected at various stages of the manufacturing process. Process graphs can be rendered and used for experimental design and process execution to visualize and track different stages of a real-time experiment, outlining complex manufacturing experiments spanning multiple days of manufacturing procedures. Experimental Overview: In one embodiment, a graph is displayed as an experiment overview, providing a high-level overview of the experiment, including the process steps and (e.g., approximate) order in which they were performed, the dates specific process steps were performed, how the process steps relate to each other (e.g., the top half of FIG. 1A ), and an overview of the various states / arms evaluated during the experiment and how those states relate to each other (e.g., the bottom half of FIG. 1A ). Timeline: In one embodiment, a process graph can include a timeline, displaying multiple time points, such as the days in which a specific experiment or manufacturing process represented by the graph was performed. A timeline may be displayed along the horizontal axis, with labeled circular icons used to visually represent individual time points (running days 1 through 21). Other ways of visually representing the timeline may be used, such as along the vertical axis and / or using icons of other shapes, other units (e.g., hours, weeks, etc.). Process Unit Operations In some embodiments, a process graph may visually identify individual process unit operations performed during the manufacturing process. Individual process unit operations may be displayed, for example, via a combination of text labels and icons, or markings that convey the particular unit operations performed and, optionally, the times at which they are performed, and / or their (e.g., temporal) relationship with respect to other unit operations.For example, a graph-based visualization may include a series of text labels along the top row (of nodes) identifying various unit operations such as "Material Preparation," "Start-Up," "Transduction," and "Compounding." In some embodiments, for example, the text labels also include a numerical component, identifying the specific day on which each unit operation is performed, and the text labels are arranged sequentially from left to right along the horizontal axis to mark the order of operations over time. Vertical dotted lines extending downward from each text label provide a visual guide for the planned schedule for each unit operation and / or a temporal mapping of the manufacturing process. (Data Points (Nodes)) Data points in the manufacturing process associated with a particular unit operation and from which relevant information (measurements and / or recorded observations) is collected are displayed via nodes. Nodes may be rendered as icons, such as filled circles. Each circle is a node and is positioned to visually align with a particular unit operation; that is, it is located on a vertical dotted line extending downward from a text label identifying a particular unit operation, thereby identifying a data point related to that particular unit operation. (Connectivity) In some embodiments, a process graph may display the dependency or sequence of material and / or data flow from one unit operation to another through rendered connections between various nodes. For example, node connectivity may be rendered as lines connecting nodes across a timeline. (Data Connection Points) Distinct points along the process where data is collected are marked, such as important checkpoints for quality control or measurements required for process evaluation. (Arms) In some embodiments, a process graph may include and / or display one or more (e.g., separate) arms, each representing different experimental conditions and / or baseline process variations. For example, arms are rendered as various smaller graphs positioned below the timeline. Each line in the arms section indicates a different arm / condition as defined by the operator.Labels are provided to help clarify the focus of these steps and / or to distinguish and identify nodes as belonging to one condition, so that corresponding data collected from the laboratory are placed in the correct node and we do not mix data across conditions. In this case, the base process may be the step that follows a standard or control process, while other processes are steps that make experimental changes to that process or supplement the base process (e.g., making media, preparing materials, etc.). (Baseline Process and Base Process Graph) A baseline process may be a control and / or standard procedure and may be rendered as a base process graph. Text labels, color schemes, icon styles, positioning, and the like may be used to visually identify the baseline process, such as in a graph-based visualization. For example, the baseline process is identified and displayed as a node line directly below the timeline. In a process graph, the baseline process may be the standard process against which other variations are compared. Variations and Outputs / Endpoints: In certain embodiments, a graph-based visualization may include one or more auxiliary subgraphs, each corresponding to and representing variations to experimental conditions and / or baseline versions of a manufacturing process. Additionally or alternatively, different process endpoints and / or outputs may also be displayed (e.g., via endpoint graphs). Process graphs thus facilitate visualizing and managing complex manufacturing processes. Among other things, they enable researchers to track experimental progress, compare different conditions or variations side-by-side, and ensure that data is systematically collected at specified points throughout the process. The ability to visualize the entire process in this manner helps identify bottlenecks, ensure consistency, and facilitate data-driven decision-making. iii. Comparing and Tuning Multiple Processes: In certain embodiments, a graph-based visualization tool provides a GUI that offers techniques for the automated comparison and tuning of multiple manufacturing processes.Among other things, they visually communicate and compare multiple manufacturing processes in a manner that facilitates understanding the interactions between different manufacturing processes or the same process under different conditions. The pictorial illustration shows an example of comparing multiple manufacturing processes. The pictorial illustration shows multiple (three) overlaid and coordinated process graphs, each displaying a similar sequence of unit operations across a daily timeline. These multiple process graphs may display different experimental runs and / or batches in the manufacturing process. In the image depicted in the pictorial illustration, each graph may display the sequence of unit operations across a daily timeline. These graphs may display different experimental runs or batches in the manufacturing process, allowing for easy comparison and analysis of these separate activities over the same period of time. Comparing multiple graphs in this manner allows a user to, among other things: (i) identify patterns and trends. In some embodiments, overlaying graphs allows a user to easily discern general trends or patterns across different data sets or time periods. (ii) assess consistency and variability. In some embodiments, comparing graphs assesses the consistency of a process or experiment and helps identify any variability or anomalies. (iii) benchmark performance. In some embodiments, graphs can be used to display different batches or experimental runs, allowing a user to compare them and determine which performs better for a certain metric. (iv) Understanding Relationships. In some embodiments, seeing how different variables interact over time can help understand the relationships between them. (v) Making Informed Decisions. In some embodiments, the clear comparisons facilitated through the tool make it easier to make decisions based on empirical data, such as improving a process or replicating a successful experiment. In particular, images depicted in pictorial diagrams provide users with a visual display that facilitates process comparison by overlaying multiple graphs and providing visual cues based on and displaying comparative analysis of their structures and data points.For example, overlaying multiple graphs allows for direct visual comparison of different experimental runs or process batches. In certain embodiments, differences or similarities between one or more processes may be identified (e.g., automatically) and visually highlighted, e.g., as shown in a pictorial diagram. For example, if one process deviates in a unit operation, the process comparison and adjustment tools described herein may detect and flag this variation, e.g., via variations in the type, size, color, etc. of icons used to display nodes. For example, in the image depicted in the pictorial diagram, the process variation is flagged as an enlarged, color-coded (orange) circle.

The invention discloses a system and a method for making a dynamic point absolute and relative motion trail contrast animation. Relates to the technical field of animation production. The system comprises a fixed system and dynamic system establishment module, a coordinate expression generation module, a time discretization module, a coordinate calculation module, a coordinate conversion module, a canvas drawing module and an animation generation module. The method comprises the following steps: firstly, establishing a fixed system and a dynamic system, recording initial coordinates of an original point of the dynamic system and setting a canvas axis limit; generating a coordinate expression, discretizing time and establishing a coordinate array; calculating a fixed system coordinate, converting the fixed system coordinate into a movable system coordinate, and filling an array; then a canvas drawing mechanism is emptied to form a contrast diagram with the track; and finally circularly generating the animation according to the time interval. According to the method, the moving point movement process is intuitively presented through fixed-system and moving-system double-view-angle track comparison, the difficulty in understanding kinematics knowledge is reduced, learners are assisted to deepen the mastering of absolute movement and relative movement concepts, and the teaching and learning effects are improved.

The present invention discloses a wind power generation system and a method for early warning of the temperature rise of its generator, and a storage medium thereof. The method comprises: when a temperature rise abnormality of a generator of a wind turbine in the wind power generation system is detected based on a preset detection model, obtaining the front-end temperature and rear-end temperature of the main shaft corresponding to the abnormality within the abnormal period; generating a front-end and rear-end temperature difference time series diagram, a front-end thermal comparison diagram, and a rear-end thermal comparison diagram based on the front-end and rear-end temperatures; determining a risk value and reference maintenance measures based on the front-end and rear-end temperature difference time series diagram, the front-end thermal comparison diagram, and the rear-end thermal comparison diagram; obtaining historical early warning information corresponding to the abnormality, and generating the historical early warning information together with the risk value and the reference maintenance measures into early warning information, and performing an early warning of the abnormal temperature rise of the generator based on the early warning information. In this way, an early warning of the abnormal temperature rise of the generator is achieved through the early warning information, and maintenance is made more convenient, thereby improving maintenance efficiency.

The invention provides a tooth profile modification method based on UMESHMOTION. This method is used to solve the problem of complicated pre-processing operations in finite element gear analysis. The present invention describes the finite element simulation process of gear transmission in detail, selects the gear contact area as the adaptive mesh update area, and then derives the theoretical tooth profile modification formula. Finally, the UMESHMOTION subroutine written in Fortran is used to realize the mesh node movement in the adaptive area, thereby completing the tooth profile modification. The present invention streamlines the tooth profile modification process in the finite element software, greatly improving the simulation efficiency and calculation time. Finally, the tooth profile modification under different parameters can be achieved by modifying the parameter variables of the subroutine, and the optimal modification scheme can be selected by viewing the comparison diagram of the maximum Mises stress and contact pressure before and after the modification.

A method, system, and computer-readable medium are disclosed for processing and comparing documents in varying formats, incorporating advanced data extraction, normalization, and comparison techniques. The method includes receiving documents containing structured and unstructured data, processing them with optical character recognition and layout analysis to identify structural elements, and extracting key data fields using natural language processing, including named entity recognition and contextual analysis. Extracted data is normalized through schema mapping and synonym resolution, ensuring consistency in terminology and structure. The system employs fuzzy matching algorithms to identify discrepancies between documents and provides an interactive user interface with graphical visualizations, such as heatmaps and comparison charts, for reviewing and resolving differences. Machine learning techniques refine the system over time by integrating user feedback to improve data extraction, synonym resolution, and comparison accuracy.

This invention provides an adaptive design method and system for folding tables based on stability assessment, belonging to the field of furniture design technology. The method includes: physical principle-driven parametric design, automatically generating initial three-dimensional coordinates of the table legs based on input geometric parameters and physical constraints, and performing a pre-assessment of design quality; multi-dimensional quantitative stability assessment, constructing a comprehensive geometric and mechanical assessment model; robust hierarchical automatic optimization, employing a three-layer cascaded optimization strategy—direct optimization, multi-starting-point parallel optimization, and heuristic rule improvement—to iteratively adjust the spatial coordinates of the table legs and improve stability; and multi-view visualization analysis, automatically generating multi-dimensional charts such as support point distribution maps, height distribution maps, three-dimensional structure diagrams, and optimization comparison diagrams, providing a visual interpretation of design features, stability indicators, and optimization effects, and outputting a comprehensive report. This invention can provide key technical support for intelligent furniture manufacturing and personalized customization.

The images shown in the diagram are interactive graphical user interfaces (GUIs) that visually communicate to the user information related to (i) unit operations in manufacturing processes such as cell and gene therapy manufacturing processes and the creation and / or modification and / or analysis of data generated therefrom, (ii) combinations of live data and textual information from databases, and (iii) interactive data analysis (e.g., patient data visualization systems) and systems for data analysis related to manufacturing processes. For example, in one embodiment, the images shown in the diagram provide the user with multiple levels of detail about experiments and manufacturing processes, and such details can be visually presented to the user in various forms including specific combinations of charts and / or dynamic elements, which the user can manipulate in an interactive manner. (F. Device Toolkit) In one embodiment, the GUI visually displays a list and information about various devices that may be used in experiments and / or manufacturing processes. The diagram shows an example of device display and comparison images.

The invention provides a traffic project path comparison and selection method and system, and belongs to the technical field of traffic planning. The method comprises the following steps: constructing a basic traffic network, adding each scheme line position of a project, and setting traffic restriction information; creating an OD cell centroid node, and communicating the centroid node with the traffic network; constructing a project-free network and each scheme network, and setting impedance and limiting conditions; calculating the shortest path line and cost of each OD interval in the project-free network and each scheme network by taking mileage, time, cost and carbon emission as cost factors of impedance; on the basis of the acquired shortest path line and cost, generating an expected path comparison diagram of each OD interval in the project-free network and the optimal scheme network; and interval evaluation is carried out by adopting an entropy weight TOPSIS method, and a global optimal scheme is determined in combination with a weighted comprehensive scoring method. By calculating the expected path cost and the GIS circuit diagram under different impedances in the multi-scheme network, the analysis content of scheme comparison and selection is enriched, and the necessity of scheme construction is enhanced.

The invention discloses a grading early warning method for influenza epidemic intensity, and belongs to the field of infectious disease monitoring and early warning. The method comprises the following steps: collecting related historical monitoring data of influenza, calculating corresponding indexes, taking the influenza report morbidity as a target sequence, drawing a time sequence comparison diagram of the influenza report morbidity and other indexes according to the indexes, and screening indexes capable of being used for monitoring and early warning by performing time sequence diagram comparison with other indexes and constructing lagging correlation analysis; according to the screened indexes, adopting a comprehensive evaluation method to calculate an influenza comprehensive index; and constructing a grading early-warning model of a mobile epidemic interval method based on the influenza comprehensive index, and calculating a grading early-warning threshold value of the influenza epidemic intensity. According to the method, the limitation of a single data source and the influence of a subjective judgment standard on an early warning result are effectively avoided, the influenza epidemic situation can be reflected more objectively and comprehensively, and a reliable basis is provided for formulating a scientific prevention and control strategy.

The invention discloses an oil well production and absorption profile comparison diagram drawing method and device, and the method comprises the steps: obtaining a request link database based on the data of a user, and obtaining the production and absorption profile data of a specified test date through the database, the production and absorption profile data comprises test times, test time, horizon names, horizon depths, horizon thicknesses, production and absorption parameters and taken measure data; based on a map analysis technology, generating a production and absorption profile map according to the production and absorption profile data; and obtaining all the perspiration section maps generated by the user, and splicing all the perspiration section maps into a perspiration section comparison map according to a preset map template. According to the method, the complicated screening process is optimized, the data acquisition efficiency is improved, the production and suction profile comparison graph is spliced through the time axis, a user can conveniently and quickly perform result comparison, and the graph reading efficiency and the use experience are improved.

A chart pattern recognition method includes pre-processing a chart pattern group to be compared to obtain the first chart pattern data to be compared based on time and space; normalizing the first chart pattern data to be compared and the first historical chart pattern data from a database to obtain the second chart pattern data to be compared and the second historical chart pattern data; comparing the second chart pattern data to be compared with the second historical chart pattern data to obtain multiple similarity scores of the second chart pattern data to be compared and the second historical chart pattern data; sorting the multiple similarity scores, the corresponding second chart pattern data to be compared, and the corresponding first historical chart pattern data; and obtaining first historical chart pattern data with a maximum similarity score.

The invention discloses a cosecant square beam mode synthesis method based on an improved genetic algorithm, and the method comprises the steps: 1) setting parameters of the genetic algorithm, and optimizing the value range of the parameters; 2) taking an error function between a directional diagram function of the linear array antenna and a directional diagram function of the cosecant square mask as a cost function; 3) substituting the solution corresponding to each individual into a cost function to calculate the fitness value of the corresponding individual; 4) selecting parents participating in crossover from the population according to the fitness value of each individual to obtain a to-be-crossover population; 5) crossing parents in the current population to be crossed to generate a population to be varied; 6) performing mutation on the 2N genes of each individual in the population to be mutated to generate a new population; and 7) executing the steps 3)-6) on the new population until a genetic algorithm termination criterion is met, outputting optimal antenna configuration data, and drawing a comparison diagram and a convergence diagram of an optimized array antenna directional diagram and a cosecant square mask directional diagram.

The present invention discloses a low-yield horizontal well treatment method based on fine injection-production correspondence, which relates to the field of development of low-permeability and ultra-low-permeability multi-stage sedimentary superimposed sandstone oil reservoirs, and particularly to a low-yield horizontal well treatment method based on fine injection-production correspondence, comprising the following steps: finely dividing the multi-layer sedimentary superimposed sandstone where the target layer of the horizontal section of the horizontal well is located; establishing a well-connected sand body profile comparison diagram of the horizontal well and the water injection well; judging the injection-production correspondence relationship of the well-connected profile, and qualitatively and quantitatively analyzing and judging the three-dimensional injection-production correspondence relationship; classifying and determining horizontal well group treatment methods and measures based on the causes of low production; the present invention performs fine stratigraphic division on the multi-layer sedimentary superimposed sandstone where the target layer of the horizontal section of the horizontal well is located, and then establishes a well-connected sand body profile comparison diagram of the horizontal well and the water injection well of the horizontal well group, analyzes and evaluates the fine injection-production correspondence relationship, thereby increasing water drive reserves, promoting the effectiveness of horizontal well water injection, and increasing production, thereby effectively treating low-yield horizontal wells.

The present invention relates to the field of elastic imaging technology, and specifically to an elastic imaging method, device, elastic imaging system, and storage medium. The method includes obtaining a current pressure value applied by an elastic detection probe to a target area of ​​a target tissue, wherein the current pressure value is detected by a pressure sensor in the elastic detection probe; obtaining a target pressure value corresponding to the target area; displaying a comparison diagram of the current pressure value and the target pressure value on an imaging interface; when the current pressure value meets the target pressure value, controlling the elastic detection probe to perform shear wave excitation in the target area and tracking the propagation of the shear wave to obtain shear wave elastic imaging information of the target tissue. The current pressure value is measured using the pressure sensor in the elastic detection probe, and shear wave elastic imaging detection is performed when the current pressure value meets the detection requirements to ensure the accuracy and stability of the elastic imaging results.