12 results about "Comparison diagram" patented technology

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.

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.

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.

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 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 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.