154 results about "Scatter plot" patented technology

The present invention relates to the technical field of natural language processing, and specifically to a visual patent search method based on a pre-trained language model. In a patent keyword search scenario, the present invention extracts keywords and represents word vectors from patent texts based on the pre-trained language model, reduces the dimensionality of patent features returned by the search, and visually displays the search results in the form of a scatter plot. Compared with search results displayed in a list form, the method is more intuitive and provides richer search information such as the degree of similarity between patents and patent clustering.

The invention discloses an AI intelligent coal blending method based on deep learning, relates to the technical field of intelligent coal blending, and solves the technical problems of low efficiency in feature association recognition and screening and poor model architecture scene adaptability. The Pearson coefficient is used for linear features, the mutual information method is used for hierarchical redundancy elimination for nonlinear features, the limitation of traditional single statistic feature screening is avoided, hidden association is generated and mined through composite features, feature dimensions are more simplified, association with coal blending targets is more direct, the model training efficiency and prediction precision are effectively improved, and the method is suitable for large-scale popularization and application. Models are customized for different scenes, compared with an existing method that a single model adapts to a full scene, precise coverage of lightweight-dynamic-complex scenes is achieved, and the applicability and optimization effect of coal blending schemes under different scenes are greatly improved.

The invention belongs to the field of coal mine tunnel intelligent detection, and provides a coal mine tunnel deformation detection method and system based on point cloud, and the technical scheme is as follows: carrying out feature registration, section registration and tunnel overall alignment on reference and target three-dimensional point cloud data; projecting the registered reference three-dimensional point cloud data and target three-dimensional point cloud data to a two-dimensional plane to obtain a two-dimensional scatter diagram; extracting boundary points of a roadway based on the two-dimensional scatter diagram; fitting a boundary line of the whole roadway based on the boundary points of the roadway; calculating a roadway trend curve; extracting a point cloud section contour corresponding to each position and calculating the local width of a bounding box to obtain a minimum bounding box; and emitting rays to the roadway based on the minimum bounding box, searching points on the registered target point cloud and points or adjacent points on the datum point cloud data through which the rays penetrate, calculating the distance between the two points, and calculating the deformation of the to-be-detected point based on the calculated distance. And stable operation in a complex roadway environment can be realized.

The present application relates to the technical field of combustion state monitoring, and discloses a visual analysis method and device for combustion simulation, which comprises the following steps: under different initial conditions of combustion simulation, generating multiple sets of time sequence flow images for each combustion simulation example; encoding each frame of image in each set of time sequence flow images to obtain corresponding multiple high-dimensional embedding vectors; generating a scatter plot after dimension reduction of the multiple high-dimensional embedding vectors after dimension reduction clustering, and generating multiple time sequence trajectories for each combustion simulation example based on the scatter plot after dimension reduction; searching for a similar time sequence trajectory most similar to a specified time sequence trajectory within a preset convergence radius, and analyzing combustion convergence and stability.The present application makes full use of the correlation and similarity between data, can accurately identify similar combustion evolution modes, helps experts more accurately grasp key characteristics such as stability and oscillation in the combustion process, deeply reveals the combustion law, and improves the precision of ramjet combustion simulation.

The present invention discloses a microalgae density measurement method and system based on an illumination light source and image analysis. The microalgae density measurement method comprises: preprocessing a collected image by an information processing terminal, including operations of unifying the image size and separating RGB channels; calculating and optimizing a scatter plot of nonlinear changes of various clarity calculation-related factors, comprehensive clarity, RGB channel color difference, and comprehensive color difference indicators under conditions of microalgae solutions with different densities, and a nonlinear fitting curve thereof; optimizing the nonlinear fitting curve to improve the correlation between the scatter points and the fitted curve and the smoothness of the curve, taking into account the advantages of the optimal intervals of each algorithm and reducing local anomalies; and performing nonlinear fitting on a scatter plot obtained by testing the optimized comprehensive clarity under conditions of different microalgae densities. The present invention obtains the characteristics of comprehensive color difference and comprehensive clarity through fitting and modeling, and can accurately distinguish the different characteristics of images of microalgae solutions with different densities.

The invention relates to a computer-implemented method for optically characterizing a textile fiber structure. A plurality of pieces of information on the color at different locations of the textile fiber structure are detected by an optical sensor system. The detected color information is transmitted to a computer (107) and is entered into a color space (2) in the form of a scatter plot (31) by the computer. A frequency density distribution (4) of the scatter plot (31) is determined, and the frequency density distribution (4) is numerically specified. The invention allows a change in the material of the textile fiber structure to be ascertained and optimizes the elimination of foreign materials from the textile fiber structure.

This makes it easier to recognize the correspondence between selected plot points in a scatter plot and the data corresponding to those selected points. [Solution] The processor of the information processing device 1 displays a scatter plot on the display unit 20 in which multiple plot points are plotted based on the input data. When the processor of the information processing device 1 receives an input data display operation to display the input data on the display unit 20, in which case the first data in the input data corresponding to the first plot point is displayed in a display manner that allows it to be identified from other data in the input data.

In virtual assistant platforms that provide access to a plurality of plug-ins, plug-in selection based on comparisons between high-dimensional embeddings of user prompts and high-dimensional embeddings of the example prompts contained in plug-in definitions can cause “collisions”—that is, selection of the wrong plug-ins—if the plug-in-definitions of the intended and erroneously selected plug-ins are too similar. Debugging such collisions or avoiding them in the first place can be aided by visualizing the example prompts of multiple plug-ins, optionally along with the user prompts, in a scatter plot based on mappings of the high-dimensional embeddings onto lower-dimensional vector representations, and analyzing changes in the scatter plot responsive to modifications of the plug-in definitions.

The application discloses a helicopter flexible beam actual load substitution analysis method, comprising the following steps: considering that the flexible beam root actual measured load data is effective in the initial flight test, using the effective time period corresponding to the effective flight test data of the flexible beam root actual measured load, performing spectrum analysis on the flexible beam root profile actual measured load and the airfoil section profile actual measured load on the same piece of tail rotor blade at preset interval time in the effective time period of the effective flight test data, so as to obtain the amplitude of the flexible beam root profile actual measured load and the airfoil section profile actual measured load corresponding to the tail rotor rotating speed frequency respectively; combining the amplitude of each time point in the effective time period to form two groups of data columns; a scatter plot of the two groups of data columns can be drawn, a plurality of correlation formulas of the two groups of data columns are obtained through linear fitting, the correlation formula with the optimal correlation between the airfoil section profile actual measured load and the flexible beam root profile actual measured load on the same piece of tail rotor blade is selected as the basis for calculating the flexible beam root profile actual measured load, and the flexible beam root profile actual measured load in the whole flight process can be obtained based on the airfoil section profile actual measured load of the tail rotor blade.

This invention relates to the field of power management and anomaly detection technology, specifically to a method and system for detecting anomalies in multi-port charging power supplies based on current analysis. It is applied to a charging system containing multiple load power supply buses and several branch switching transistors. The method includes: extracting and sampling AC ripple current from the total current signal of the multiple load power supply buses and each branch; performing delay mapping on the AC ripple current to construct a multi-dimensional phase space matrix and calculate a Poincaré cross-section scatter plot; calculating the current topological information entropy based on the scatter distribution probability and comparing it with the baseline information entropy to generate an information entropy residual; comparing the information entropy residual with a safety manifold boundary threshold range, determining a charging anomaly when it exceeds the threshold, outputting a hardware interrupt signal to control the state of the corresponding branch switching transistor, and generating a diagnostic report containing physical feature parameters extracted based on the multi-dimensional phase space matrix. This invention enables early identification of anomalies in multi-port charging systems and rapid hardware-level response.

This invention provides a method for determining the sample for verifying the proportion of house damage caused by rainstorm and flood disasters. The method includes the following steps: S1, collecting the average rainfall, maximum rainfall, runoff, proportion of brick-and-wood structure houses, and proportion of house damage for each administrative unit to be investigated after a rainstorm and flood disaster, denoted as n for the number of administrative units to be investigated; S2, processing the data; S3, calculating and generating a semi-variant scatter plot of the house damage proportion matrix Y as a function of distance within a four-dimensional attribute space matrix X; S4, determining the sampling sample. This method makes the measurement of spatial correlation of samples more reasonable, has stronger interpretability, reduces the sample size required in actual investigations, helps to make faster and more accurate assessments of losses after rainstorm and flood disasters, and ensures the accuracy of the assessment results.

This invention relates to the field of shale gas content monitoring technology while drilling, and provides a method, apparatus, electronic equipment, and storage medium for obtaining shale gas content while drilling. The method includes: establishing a reservoir type classification standard based on porosity and total gas content; determining the total gas content range corresponding to each category of the reservoir type classification standard according to the standard; establishing a scatter plot of the organic carbon content versus total gas content; and obtaining the organic carbon content corresponding to each category of the reservoir type classification standard based on the total gas content range, thereby establishing a shale reservoir type classification standard based on organic carbon content. This invention enables the determination of total gas content in shale gas while drilling. Compared to traditional, precise but costly methods using closed core sampling laboratories to analyze gas content, this method eliminates the need to send core samples to a laboratory, significantly reducing costs and enabling large-scale on-site evaluation during drilling.

The invention relates to the technical field of highway operation management, in particular to a highway emergency lane dynamic management method based on ETC data. Comprising the following steps: collecting vehicle ETC label information; analyzing and processing the data through an ETC data processing device, and extracting vehicle operation key parameter information; analyzing the vehicle operation data according to the vehicle operation key parameter information, calculating the average speed of the vehicle between two adjacent gantries, and further analyzing the overall vehicle operation speed; the average speed and the traffic flow of all vehicles in the portal and the portal interval section are collected, a scatter diagram is drawn to carry out Greirschner parabola fitting, the maximum flow value is obtained and serves as the bottleneck traffic capacity of the road section, and the speed value corresponding to the maximum flow value is a threshold value for judging whether the road section is congested or not; according to the vehicle operation data analysis result, the road section traffic operation condition is judged. According to the technical scheme, the traffic capacity and operation efficiency of the road can be improved.

The invention relates to the technical field of intelligent driving, in particular to a risk early warning method for a heart rate scatter diagram in the driving process. The real-time heart rate scatter diagram is calculated and analyzed in real time through the improved box counting method to obtain the fractal dimension, the dimension and entropy combined feature space is constructed through the improved sample entropy algorithm and the fractal dimension, the primary early warning information is generated through primary early warning judgment, the problems that a traditional method cannot recognize instantaneous risks and early warning is delayed are solved, and the early warning accuracy is improved. The real-time performance and the accuracy of risk identification are improved; the method comprises the following steps: acquiring a heart rate signal, analyzing the heart rate signal through wavelet packet decomposition to obtain a time-frequency feature vector, acquiring a steering wheel grip parameter, carrying out fusion analysis on the steering wheel grip parameter and the time-frequency feature vector to obtain early warning verification information, judging and outputting a risk early warning level through a risk level, and carrying out adaptability early warning through an individual heart rate baseline. The false report and missing report rate is reduced, and an accurate decision basis is provided for an intelligent driving system.

A mask manufacturing method, an anti-glare mask, and a manufacturing method for an anti-glare product. The mask manufacturing method comprises: generating a base scatter plot having random characteristics; on the basis of the base scatter plot, drawing a Voronoi diagram; and clipping a pattern from the Voronoi diagram, and performing two instances of mirroring, edge trimming and arraying on the pattern, in order to obtain an anti-glare mask. The anti-glare mask is manufactured using the mask manufacturing method. The manufacturing method for an anti-glare product comprises steps such as coating, exposure, development, etching, and stripping. A base scatter plot having random characteristics is used to draw a Voronoi diagram, and steps such as pattern clipping, mirroring, edge trimming and arraying are then performed, such that an ultimately obtained anti-glare mask has an anti-glare effect. The manufacturing method avoids optical defects such as Moire patterns and reflected bright lines, so that the mask manufacturing precision is improved, and patterns on masks are also more uniform and delicate, thereby improving the quality and performance of the masks.

A method for improving waste gas collection efficiency of an arc-shaped top suction gas-collecting hood based on an interface mass-energy ratio comprises the following steps: constructing a physical geometric model of the 1: 1 arc-shaped top suction gas-collecting hood by adopting space claim based on an ANSYS 2024 R1 simulation platform; defining the ratio of turbulent kinetic energy to mass flux on the mass-energy ratio interface as an interface mass-energy ratio; sequentially setting a plurality of groups of comparison working conditions by taking the number of the outlet air pipes, the layout of the outlet air pipes and the size of the outlet air pipes as single variables to finish simulation; exporting result data, and drawing a scatter diagram of the collection efficiency, the vortex volume and the interface mass-energy ratio; and the number, layout and size of the outlet air pipes are optimized according to the result, and the collection efficiency is maximized. According to the method, the limitation of relying on subjective judgment in the traditional empirical design is overcome, so that the performance of the flow field has comparability, and a clear scientific basis and a diagnostic tool are provided for subsequent optimization.

This invention relates to the field of image processing technology, specifically to a real-time battery health monitoring system based on an infrared thermal imager. The system includes: acquiring continuous thermal imaging images of the battery and obtaining the battery region for each image; acquiring a grayscale scatter plot of any pixel within the battery region; analyzing the characteristics of all data points in the grayscale scatter plot, the temporal differences in grayscale changes between the pixel and its neighboring pixels, and obtaining normal data points in the grayscale scatter plot; based on all normal data points in the grayscale scatter plot, obtaining the temporal grayscale distribution of the pixel; and based on the grayscale distribution of all pixels within the battery region, obtaining the temperature change index of the battery region; and obtaining the thermal change parameters of the battery region through the temperature change index, thereby monitoring battery health. This invention further improves the accuracy of battery health monitoring.

The invention discloses a process monitoring data feature extraction method and device, equipment and a storage medium. The method comprises the steps of generating a signal file of dynamic operation parameters of the device; generating the length of the sliding window corresponding to the round of calculation through a preset window length algorithm; generating a two-dimensional array comprising a plurality of time sequences; performing trend term removal calculation on each time sequence through a preset trend term function; performing data dimension reduction on the two-dimensional array to generate a one-dimensional array; calculating a fluctuation function in the one-dimensional array; respectively obtaining a fluctuation function corresponding to the length of each sliding window; generating a scatter diagram according to the length of each sliding window and the fluctuation function; the abscissa of the scatter diagram is the logarithm of the length of the sliding window, and the ordinate of the scatter diagram is the pair of the fluctuation function; and judging the effectiveness of feature extraction of the dynamic operation parameters according to the scatter diagram. According to the method, the accuracy of the prediction model constructed according to the monitoring data during abnormal monitoring is effectively improved.

The invention discloses a query request processing method and system based on a scatter neural network, and relates to the technical field of artificial intelligence and knowledge engineering. According to the method, an original knowledge source of a target domain is obtained, ternary array knowledge scatter points containing a core object, association logic and domain connotation are generated through structured analysis, and ternary array and dense vector double views are adopted for representation and storage; and responding to a query request, performing adaptive multi-path retrieval on the knowledge scatter points based on the semantic type and other characteristics of the query request, and generating a target answer after confidence evaluation and optimization. According to the method, the problems of low analysis efficiency of an original knowledge source in the financial field, poor semantic matching of a single retrieval strategy, insufficient understanding of general and special knowledge and low question and answer accuracy caused by large model illusion can be solved, and the accuracy and efficiency of vertical field query request processing and the dynamic knowledge strengthening capability are improved.

The invention provides a panel defect aggregation analysis method and system based on a multi-modal large model, and relates to the technical field of defect aggregation analysis, and the method comprises the following steps: obtaining defect point coordinate data of a glass panel, and converting the defect point coordinate data into a defect scatter diagram; distinguishing different defect types by combining shape features and spatial distribution features of defect aggregation, and designing cue words according to the different defect types; inputting the defect scatter diagram and the cue words into the multi-modal large model for conjoint analysis, and performing performance evaluation and cue word iterative optimization on the multi-modal large model; and applying the cue words subjected to iterative optimization and the multi-modal large model for performance evaluation to panel defect aggregation analysis to obtain an analysis result. The method solves the problems that a traditional method is insufficient in recognition capability on a complex aggregation mode and high in parameter dependence, and a machine learning or deep learning method needs a large amount of labeled data and complex parameter tuning.

This application belongs to the field of analytical testing, specifically relating to a method for testing the homogeneity of major elements in materials. The method includes: using an X-ray energy dispersive spectroscopy (EDS) instrument to determine the content of major elements in n particles of a sample under test. 主 Obtain a sample of principal element content data, where n is not less than 10000; plot the measured data into a two-dimensional triangular scatter plot and calculate the area of ​​the scatter plot as S. EDS The content of major elements in the sample was determined by inductively coupled plasma atomic emission spectrometry (ICP). 主 If |EDS 主 -ICP 主 |<2% and S EDS If |EDS < 64, the sample elemental distribution is uniform; if |EDS 主 -ICP 主 |<2% and 64 EDS If |EDS <100, the elemental distribution of the sample is relatively uneven; if |EDS 主 -ICP 主 |<2% and S EDS If the value is greater than 100, the elemental distribution in the sample is severely uneven. This method offers high accuracy, short cycle time, high efficiency, and low cost.​

The invention provides a scatter diagram generation method based on an object contour diagram, and belongs to the technical field of graphic processing, and the method comprises the steps: contour preprocessing: carrying out the smooth denoising processing of a contour diagram, carrying out the Gaussian blurring of the contour diagram, converting the contour diagram into a binary image, extracting a contour set of a connected region in the binary image, and carrying out the Gaussian blurring of the contour image; calculating the surrounding area of each contour and carrying out noise filtering; uniform sampling and initial scatter point generation: constructing a pixel point set, and calculating a maximum distance and a minimum distance of sampling; and scatter-contour matching optimization: traversing the contour line and the scatter set, and eliminating interference scatters to obtain a final scatter diagram of the object contour. Through the methods of uniform sampling, contour point matching, repeated point de-duplication and the like, a specified number of uniformly distributed scatter points can be quickly generated for a contour map. According to the method, the defect of scatter point generation in the current method is overcome, model training is not needed, generalization is high, and the method can be widely used in profile diagrams of various graphs.

According to a method for determining a pitch angle position of an active optical sensor system (2), which is mounted on a motor vehicle (1), a scatter plot (6) is generated by means of the sensor system (2). The scatter plot (6) includes a first and a second subset (7a, 7b) of scan points of the roadway (13). A first pair (A, B) of scan points is identified by means of a computing unit, wherein a point (A) is part of the first subset (7a), a further point (B) is part of the second subset (7b), and a projection (14′) of a first connection vector (14) of the first pair (A, B) is in a transmission plane parallel to a longitudinal axis of the sensor system (2). A first angle (δ) which encloses the first connection vector (14) with the longitudinal axis (15) of the sensor system (2) is determined by means of the computing unit (4).

The application discloses a kind of suspended DAS borehole fissure fluid monitoring devices, including DAS demodulator and sensing optical cable suspended in water-filled borehole, sensing optical cable bottom end fixed counterweight, sensing optical cable upper portion is wound on optical cable reel, optical cable reel is set on orifice shock isolation module, sensing optical cable and DAS demodulator are connected.A kind of suspended DAS borehole fissure fluid monitoring method is also disclosed, strain waveform data are collected, and first arrival time of event at different depths is extracted;Depth-first arrival time scatter plot is drawn, inflection point in time period is determined, linear regression is carried out to uplink wave data points and downlink wave data points, and the intersection point of two linear regression fitting straight lines determines focal depth and occurrence time, carries out solid tide modulation analysis and pressure diffusion and permeability evaluation.The application can realize the high sensitivity monitoring and quantitative dynamics analysis of fissure fluid activity, and is suitable for seismic geology research, underground energy development and major engineering safety monitoring and other fields.

The invention relates to the technical field of seismic exploration, in particular to a structure prediction method and device based on incomplete information. The method comprises the following steps: randomly extracting discrete points in an existing structural map of a target work area, and constructing a pseudo well sample database; constructing a prediction model of regional structure and lithology information based on a pseudo well sample database, an existing structural map, and core data and surface road head data of a target work area pseudo well; constructing an incomplete information scatter diagram of the target work area on the basis of the core data of the real well of the target work area, the earth surface road head data information table and the lithology information; and based on the incomplete information scatter diagram of the target work area and the prediction model of the regional structure and lithology information, obtaining a structure prediction map and attribute information of the target work area. According to limited incomplete information such as a logging core and a field geological survey sample, a regional structure map and attributes are predicted, and an important basis is provided for structure prediction of a low-quality data region and a region without three-dimensional seismic data.

The embodiment of the invention discloses a streaming information processing system and method, and a control device obtains particle feature data through a measurement unit and generates at least one scatter diagram, sets a first gate for performing gating on particles in the scatter diagram on the scatter diagram, judges whether the first gate meets a preset quality condition or not, and sends the first gate to a server; under the condition that the first door meets a preset quality condition, automatically auditing at least one first detection result obtained based on the first door analysis scatter diagram by adopting a preset auditing rule, and under the condition that the first door does not meet the preset quality condition, obtaining a door adjustment parameter input by a user, setting a second gate for gating particles of the scatter diagram on the scatter diagram according to the gate adjustment parameter, analyzing the scatter diagram based on the second gate to obtain a second detection result, and automatically auditing at least one second detection result by adopting a preset auditing rule, the automatic checking passing rate and checking efficiency of the checking result of the flow analyzer can be improved.

The application provides a pilot attention allocation training method, device and equipment and a storage medium, and belongs to the field of flight training. The method comprises the following steps: in the case that a pilot wears a head-mounted eye tracker for training, obtaining a fixation point video of the pilot and recording the triggering conditions of observable items; dividing the fixation point video into interest areas, performing data analysis on the interest areas, and determining the access times, Pearson correlation coefficients, pupil diameter change scatter plots, Markov transition matrices, access sequences and time lengths, in-cabin and out-of-cabin access times, cockpit saccade mode models and the pupil diameter change rates of the pilot; further determining the attention transfer portrait and the attention allocation score of the pilot; and adjusting the attention allocation training bias of the pilot according to the attention allocation score and the attention transfer portrait. In this way, the limitations of traditional subjective judgment can be overcome, and the training evaluation is more scientific and operable.

This invention discloses a method for calculating the effective utilization coefficient of irrigation water based on remote sensing ET (Emergency Thresholding). The method includes: acquiring the evapotranspiration of each pixel in the study area at high spatiotemporal resolution; extracting multi-source remote sensing features of Sentinel-2 multi-temporal spectral features during the study period, and combining them with a trained ensemble learning classification model to obtain a crop planting structure map for each ten-day period; using the evapotranspiration of the pixel as the crop water requirement for the ten-day period, selecting an effective precipitation model based on the cultivated land type of the crop in the pixel, and calculating the effective precipitation for the pixel based on the crop water requirement and precipitation for each ten-day period; using Sentinel-1 imagery of the study period combined with OTSU classification, marking pixels with increased moisture as moisture increase events in each ten-day period, and correcting the moisture increase events using a scatter plot to obtain a ten-day irrigation distribution map; and calculating the effective utilization coefficient of irrigation water in the study area based on the evapotranspiration, crop planting structure map, effective precipitation, irrigation distribution map, and gross irrigation diversion.

This invention discloses a method, storage medium, and apparatus for pre-patent application evaluation and technology opportunity identification, relating to the field of text processing. The method includes: collecting existing patent text data to construct a patent dataset; classifying the patent texts in the dataset into patent fields and IPC categories; determining the patent field and IPC category of the patent to be evaluated; acquiring patent texts under the IPC group of the patent field to which the patent to be evaluated belongs; calculating the similarity between the acquired patent texts and the patent to be evaluated; forming a similarity matrix based on the similarity calculation results; obtaining a similarity heatmap and a similarity scatter plot; and obtaining the pre-patent application evaluation result; identifying technology opportunities in the patent to be evaluated; and determining whether the patent to be evaluated represents a field technology opportunity based on an outlier detection algorithm. This invention can provide applicants with certain references before filing a patent application.

This invention discloses a method, device, system, and storage medium for predicting electric vehicle charging time, including: establishing a scatter plot of the vehicle's power distribution, a power interval distribution plot with 10kW intervals, and a power interval distribution plot with 1kW intervals, and analyzing them to obtain the boundary lines between fast charging and slow charging, and between supercharging and fast charging; based on the boundary lines between fast charging and slow charging, and between supercharging and fast charging, classifying the vehicle's historical charging data into slow charging data, fast charging data, and supercharging data; step S3, establishing a slow charging model, a fast charging model, and a supercharging model based on the slow charging data, fast charging data, and supercharging data; and predicting the possible charging mode when the vehicle arrives at any charging station based on the vehicle's historical charging and current charging geographical location information, time information, and driver driving model information. Using the technical solution of this invention, the charging time of electric vehicles can be predicted more accurately.