58 results about "Profile analysis" patented technology

The invention discloses a forming method for a bent blade of a stamping and welding centrifugal pump, and relates to the field of centrifugal pump blades, which comprises the following steps: S1, three-dimensional modeling and plane unfolding; s2, wire cutting; s3, mold forming; s4, performing three-dimensional scanning; s5, arc analysis; s6, contour analysis; s7, clamping adaptation and gap detection; and S8, molding quality verification. According to the method, a stamping forming process and a three-dimensional scanning feedback technology system are combined, a closed-loop precision control system is formed, after stamping forming, a three-dimensional scanner is used for rapidly obtaining actual profile point cloud data of the blade, the actual profile point cloud data is compared with a design model in a high-precision mode, and profile deviation caused by springback is accurately quantified. And based on the deviation data, carrying out reverse compensation correction on the molded surface of the mold. The problems of profile out-of-tolerance and welding assembly clearance caused by springback are solved, and high-precision, high-efficiency and high-consistency manufacturing of the centrifugal pump bent blade is achieved.

The invention discloses a workpiece contour projection extraction method and system based on ordered point cloud, and is applied to the technical field of three-dimensional precision measurement. The method comprises the following steps of obtaining high-precision ordered point cloud data of a target workpiece and performing preprocessing; geometric analysis is carried out through the three-dimensional visual point cloud model, and section parameters are defined; performing rapid gridding processing on the ordered point cloud data through an efficient triangulation algorithm; calculating to obtain an intersection discrete point set of the cross section and the triangular mesh; and establishing a section plane local coordinate system and implementing two-dimensional projection transformation to obtain the contour projection of the target workpiece. According to the method, high-precision, high-efficiency and automatic extraction of the section contour of the workpiece can be realized, the actual requirements of industrial field online detection and quality control are met, and the method can be applied to scenes such as part size detection, reverse engineering, quality control and contour analysis in industrial manufacturing.

The application provides a bearing health state online evaluation method and system based on morphological profile analysis and federal evolution hypergraph, aiming at solving the problems of poor model self-adaptability, difficult cross-device knowledge migration and easy to be submerged early weak fault characteristics of the prior art under dynamic working conditions. The method captures the geometric profile evolution of bearing micro-damage by constructing a morphological multi-scale profile feature extraction engine, topologically preserving morphological decomposition of the vibration signal; adopts a Bayesian Poisson online learning algorithm to realize dynamic threshold adaptive updating and early warning of the health index; introduces an evolutionary hypergraph neural network to model the high-order multi-element fault propagation relationship between the bearing and the adjacent components; finally, through a federal edge collaborative framework, the incremental aggregation and knowledge migration of the cross-device model are realized under the premise of protecting data privacy. The application significantly improves the robustness of bearing fault diagnosis under variable working conditions and the sensitivity of early warning, and provides a lightweight and evolving solution for intelligent operation and maintenance in distributed industrial scenarios.

Techniques are provided for implementing liquid tolerance for a touch device. A sensor array of the touch device is scanned to generate response signals. In response to a response signal exceeding a touch threshold, a signal profile analysis is performed. The signal profile analysis includes sorting the response signals according to ascending order of delta positions to generate sorted signals. An extended vector of the sorted signals is formed. The extended vector of the sorted signals is analyzed using a fitted curve. In response to a feature of the fitted curve satisfying a criteria, the response signal is reported as a touch event. In response to the feature not satisfying the criteria, the response signal is rejected as a false touch.

An object of a system according to an embodiment is to analyze profile information and a desired condition of a user and perform optimal matching.SOLUTION: A system according to an embodiment includes a profile analysis unit, a matching unit, a communication support unit, a date plan suggestion unit, an advice providing unit, and a feedback collection unit. The profile analysis unit analyzes the profile information and the desired condition of the user using the generated AI. The matching unit performs optimum matching based on the profile information analyzed by the profile analysis unit and the desired condition. The communication support unit supports communication between the users matched by the matching unit. The date plan proposing unit proposes a date plan based on the desire or interest of the user. The advice providing unit provides the user with advice related to love and excitement. The feedback collection unit collects feedback from users to help improve the service.SELECTED DRAWING: Figure 1

The application discloses a straight line inspection method and system for visual positioning, and relates to the technical field of image processing. The method comprises the following steps: setting a search area according to the expected direction of a straight line, performing binarization and line segmentation in parallel to obtain a binary image and a line segmentation image; performing contour screening, candidate line segment fitting and collinear connection on the line segmentation image to obtain a line connection image; extracting the longest contour and fitting to obtain the end points of the straight line; combining the binary image, performing systematic sampling along the normal direction of the straight line, calculating the line width through profile analysis, and identifying the defects of broken line, too thin and too thick; and finally, quantitatively evaluating and automatically determining the effective length, the average line width and the defect proportion according to the preset quality standard. The method can screen reliable and complete straight line features for high-precision visual positioning, and significantly improves the robustness and practicability of the industrial visual system in complex scenes.

This invention relates to the field of intrinsic ability prediction technology and discloses a method for predicting the intrinsic ability characteristics of the elderly based on machine learning. First, intrinsic ability score data of the elderly in five dimensions, including cognition and psychology, are acquired, and heterogeneity classification is performed using latent profile analysis. Using the classification results as labels, random forest and LASSO regression are used in parallel to screen key predictive factors to form a feature subset. A classification prediction model is built based on XGBoost, and hyperparameters are optimized through cross-validation and grid search. The SHAP and LIME algorithms are integrated to achieve both global and local interpretability. Finally, the model is deployed on an online interactive platform, where inputting individual characteristics outputs the IC propensity classification, probability, and feature contribution explanation. This invention achieves accurate classification and interpretable prediction of the intrinsic abilities of the elderly, reduces the dependence of assessment on professionals and the environment, and is suitable for large-scale application in grassroots elderly care scenarios.

The application provides an age signal platform automatic deep profile analysis method based on a change point analysis, and belongs to the technical field of stratum age profile analysis. The method comprises the following steps: obtaining an original age depth sequence, pre-processing the original age depth sequence to obtain depth profile time sequence data; establishing an improved penalty value, and using a pruning accurate linear time algorithm to identify change points through dynamic programming and backtracking to obtain an optimal change point sequence and define an initial age signal platform; screening the initial age signal platform based on age background, internal difference, analysis duration and crystallization sequence to obtain a screened age signal platform; and performing inversion calculation on the screened age signal platform based on the optimal change point sequence by using a Bayesian segmentation regression model to obtain a verified age signal platform. The application solves the problems of the existing age signal platform interpretation method, such as lack of unified quantitative standard, low processing efficiency, difficulty in scaling and limited identification accuracy.

This invention relates to the field of data analysis, and more particularly to a cloud-based agricultural input information management system, comprising: a profile analysis unit for determining whether to perform target analysis on target users based on historical search status; a data analysis unit for determining the confirmation method of recommendation coefficient based on the coverage balance value of each term cluster; a cluster update unit for determining whether each term cluster should undergo association update analysis based on periodic status; an information push unit for determining recommended information based on recommendation coefficient under a first preset recommendation condition and recording the term clusters of related users as term clusters of target users under a second preset recommendation condition; and a cloud storage unit for storing the search terms and term clusters corresponding to each target user. This invention effectively improves the accuracy of agricultural input information recommendation management.

1. The name of the design product: electronic device pipeline analysis graphical user interface. 2. The use of the design product: for electronic devices. 3. The design features of the design product: in the graphical user interface. 4. The picture or photo that best indicates the design features: front view. 5. The use of the graphical user interface: for pipeline accident analysis, including pipeline profile analysis, pipeline elevation analysis and analysis of surrounding elements. 6. The human-computer interaction mode of the graphical user interface: in the main view, clicking the menu bar content on the left side of the interface can display the corresponding content, and clicking "exit" in the upper right corner can exit the current interface. 7. Other circumstances that need to be explained: the single color block coating area in the view is the content picture, and X represents replaceable text.

The invention discloses a biomarker prediction system based on multi-omics data integration, a storage medium and a method, and relates to the technical field of data processing and bioinformatics, the system is used for performing gene mutation, CNV difference and transcriptome expression profile analysis on feature data, identifying differential expression genes related to biomarker states, and predicting biomarkers according to the differential expression genes. Obtaining a differential expression gene set; based on the gene set, an XGBoost algorithm is adopted to construct a prediction model, grid search and K-fold cross validation are combined to optimize model parameters so as to improve generalization ability and prevent overfitting, quantitative interpretation is performed on model feature importance by means of an SHAP algorithm, and an optimal key gene feature combination is screened out through multiple training validation to serve as a biomarker prediction panel. The technical effect of automatically discovering small and precise biomarker combinations from complex multi-omics data in a high-stability and high-interpretability mode is achieved, and a transparent and reliable basis is provided for clinical decisions.

The invention relates to the field of health behavior prediction and rehabilitation management, and discloses construction and application of a stroke patient home functional exercise compliance risk prediction model. The method comprises the following steps: collecting demographic and clinical data and scale evaluation data of a stroke patient, and carrying out missing value processing and preprocessing; identifying a compliance potential category by adopting potential profile analysis, and determining an optimal cutoff value of a total score of a scale through subject working characteristic curve analysis to form a dichotomy result; key predictive factors are screened in a training set by applying LASSO regression, and a'non-good compliance 'predictive model is established by incorporating the key predictive factors into multivariate Logistic regression; an online dynamic column graph webpage calculator is developed based on the Shiny technology, and a user is supported to input variables in real time and output a prediction probability and a confidence interval; and the discrimination degree, the calibration degree and the clinical net income are analyzed and evaluated through five-fold cross validation, Hosmer-Lemeshop test and decision curve analysis. According to the invention, rapid identification and hierarchical management of high-risk patients can be realized, and a basis is provided for follow-up visit and individualized intervention.

The invention provides a self-adaptive book checking system and method based on RFID and vision bimodal fusion, and aims to solve the problems that in an existing checking system, a single technology is poor in robustness and low in recognition rate in a complex library environment, and accurate wrong shelf / missing scanning judgment cannot be achieved. According to the method, real-time detection and active probing of book missing scanning are achieved through bimodal sequence cross validation, metal interference is dynamically diagnosed through mobile scanning RFID signal profile analysis, the contribution degree of RFID and visual recognition is adaptively adjusted through a real-time quality evaluation and dynamic weight fusion mechanism, and an autonomous learning mechanism is introduced to continuously optimize system performance. According to the system, the technologies are integrated on a mobile checking robot platform, a four-wheel omnidirectional mobile chassis and a controllable lifting device are utilized, path planning is performed in combination with laser navigation, high-precision, high-robustness, self-adaptive and evolvable automatic book checking in a complex indoor environment is finally realized, and the checking efficiency and the data integrity are remarkably improved.

An object of a system according to an embodiment is to enable a user who uses a dating site or an application to effectively perform pre-face-to-face communication or speaking.SOLUTION: A system according to an embodiment includes a conversation substitute part, a speech substitute part, a profile analysis part, a reaction analysis part, and a date plan proposal part. The conversation substitute unit generates a conversation content based on a user's instruction. The dictation acting part generates a dictation phrase on the basis of the conversation content generated by the conversation acting part. The profile analysis unit analyzes a profile of a user. The reaction analysis unit analyzes the reaction of the other party. The date plan proposing section proposes a date plan.SELECTED DRAWING: Figure 1

The invention relates to the technical field of image processing, in particular to an automatic inspection method and system for concrete dam cracks. According to the method, visible light and multispectral images of a dam are synchronously obtained through an unmanned aerial vehicle, a crack topology network diagram is constructed based on the visible light images, and hydrological change features are extracted based on the multispectral images; extending a section for each pixel point in the crack topology network diagram, analyzing the distribution of hydrological change characteristics in the section, calculating the seepage activity confidence coefficient of each crack, performing risk grade division and generating a concrete dam crack grade division diagram, thereby overcoming the defect that the prior art lacks the ability to analyze the seepage state of the crack, and improving the reliability of the concrete dam crack grade division diagram. Accurate diagnosis and risk assessment of fracture seepage activity are realized.

The present application relates to a kind of oil and gas exploration and development technical field, a kind of unconventional reservoir double sweet spot quantitative evaluation method, device, including in the same development horizon of the region to be evaluated, select m well to carry out fracturing test, downhole television test and production fluid profile analysis;Take the correlation degree of each double sweet spot reservoir sample with the multiple characteristic factors of logging data information is high, based on the weight coefficient of each characteristic factor obtained by grey correlation method;Determine the double sweet spot reservoir quality factor of each double sweet spot reservoir sample, when drilling geosteering, preferentially select the formation drilled by double sweet spot reservoir quality factor, when fracturing cluster design, preferentially select the cluster by double sweet spot reservoir quality factor for fracturing.The present application solves the problem that the sweet spot reservoir is directly evaluated by relying on logging static data, leading to the large deviation of the capacity of sweet spot reservoir and fracturing reconstruction, improves the matching rate of double sweet spot evaluation result and production after fracturing, improves the drilling rate of this kind of reservoir, realizes the effective fracturing of this kind of reservoir.

The invention discloses a sugarcane lodging identification method, device and equipment based on mottle characteristics of a remote sensing image, and relates to the field of remote sensing image processing, and the method comprises the steps: collecting a multispectral remote sensing image in a research region; classifying pixels in the multispectral remote sensing image by adopting a pre-trained first machine learning model, and determining a sugarcane planting area in the multispectral remote sensing image; calculating canopy coverage according to the category of each pixel in the sugarcane planting area; performing section line analysis on the sugarcane planting area along the horizontal direction and the vertical direction respectively to determine mottle characteristics; the mottle characteristics comprise the maximum background wavelength in the horizontal direction, the maximum crest number in the vertical direction, the crest period variance in the vertical direction and the crest width variance in the vertical direction; and determining the lodging state of the sugarcane in the research area by adopting a pre-trained second machine learning model according to the canopy coverage and mottle characteristics. According to the invention, the identification efficiency and precision of the sugarcane lodging state are improved.

The invention relates to a method for the automated inspection of a surface (AS) of a solid object such as, for example, an aircraft surface (AS) (100); the method employing a step of detecting a defect (D) of said surface (AS) represented as a depth map image (S), successive depth profile analyses (DPi) aimed at determining a depth (Pi) for each of said depth profiles (DPi), and then a determination of a "final" depth (P) of a defect from all the depths (Pi) of said profiles. The invention further relates to a system (1) configured to perform the method. Advantageously, it is thus possible to automatically determine the depth of flatness defects in an aircraft surface (AS) (100) with a level of accuracy not yet achieved. Fig. 5

The present invention relates to a system and method for providing a pet home care guide and customized information to a guardian based on medical history. The system according to the present invention comprises: a data interface unit that collects electronic medical record (EMR) data of a pet by linking with an animal hospital server; a guardian profile analysis unit that determines a report generation mode (public / simple mode) and a template type (detailed description / comparative analysis type) by analyzing the guardian's number of hospital visits and the main symptom (CC) disclosure option value; a challenge mapping unit that extracts home care missions optimized for categories such as observation, medication, and environmental management by analyzing diagnosis names; an adaptive report generation unit that generates an intermediate report including customized medical information and inner thoughts messages from the pet's perspective based on the determined template and mission; a compliance filtering unit that generates a final report by identifying words indicating a negative prognosis or expressions with potential legal risks within the text of the intermediate report and automatically replacing them with predefined safe expressions; and a report provision unit that transmits the final report to a guardian terminal. Accordingly, this can provide contextually relevant and easy-to-understand information to guardians lacking medical knowledge, prevent medical and legal risks in advance, and strengthen adherence to home treatment and emotional bonding with pets.

This invention discloses a structural interpretation correction method based on model forward modeling and interleaved profile analysis, which proceeds in the following steps: S1. For structurally complex areas where seismic profile interpretation has multiple solutions, perform multi-scheme interpretation to obtain various structural interpretation schemes; S2. For each structural interpretation scheme, design a corresponding geological model to obtain multiple geological models; S3. Perform model forward modeling on each of the multiple geological models to obtain multiple forward modeling horizontally stacked profiles; S4. Interleave the multiple forward modeling horizontally stacked profiles with the processed horizontally stacked profiles for analysis; S5. Determine the optimal structural interpretation scheme. This invention belongs to the field of seismic exploration technology for oil and gas. It can correct and verify structural interpretation schemes during the structural interpretation process, making the interpreted structural results closer to the actual subsurface structural morphology, fundamentally improving the accuracy of structural results, and achieving the goal of accurately predicting subsurface structural morphology.

The application discloses a method, device and equipment for developing a water-bearing tight sandstone gas reservoir, which can comprise the following steps: comparing gas testing data and / or production data of an evaluation well with a pre-constructed water-producing gas well identification chart to determine a water-producing well in the evaluation well; constructing a sonic time difference-resistivity crossplot based on a sonic time difference logging curve and a resistivity logging curve of the evaluation well to identify a water-bearing layer of the evaluation well; performing well connection profile analysis on the evaluation well after correcting the water-bearing layer in the evaluation well based on the water-producing well in the evaluation well identified by the water-producing gas well identification chart to obtain water-bearing layer distribution of the water-bearing tight sandstone gas reservoir; determining a high-quality reserve area of the water-bearing tight sandstone gas reservoir based on the water-bearing layer distribution and gas reservoir distribution in the water-bearing tight sandstone gas reservoir; and designing a corresponding drainage gas recovery scheme for the high-quality reserve area to realize development of the water-bearing tight sandstone gas reservoir. The method can increase reserve production of the water-bearing tight sandstone gas reservoir and realize effective development.

1. Name of the product in this design: Graphical User Interface for Topographic Profile Analysis of Electronic Equipment. 2. Purpose of this design: An electronic device. 3. The key design feature of this product is its graphical user interface. 4. Images or photos that best illustrate the design points: Interface change state diagram 5. 5. Purpose of the graphical user interface: The graphical user interface of this product is used by users to select a profile area within the target area, perform profile analysis on the geomorphological features of the target area, and obtain geospatial data. 6. Human-computer interaction method of graphical user interface: The main view is the main interface for users to enter the geomorphological feature profile analysis; clicking the button to the right of "Select Analysis Location" in the upper left corner of the main view will jump to the interface change state diagram 1; clicking a location in the geomorphological map of interface change state diagram 1 will jump to the interface change state diagram 2; dragging the cursor in the geomorphological map of interface change state diagram 2 will jump to the interface change state diagram 3; double-clicking a location in the geomorphological map of interface change state diagram 3 will jump to the interface change state diagram 4; hovering the cursor over a location in the data analysis chart at the bottom of interface change state diagram 4 will jump to the interface change state diagram 5. 7. Other situations requiring explanation: The gray-covered areas in the interface are content screens and are not within the scope of protection of this design; the usage status of the main view can be referred to the main view reference diagram, and the usage status of interface change state diagrams 1 to 5 can be referred to the interface change state reference diagrams 1 to 5 in sequence.

The invention relates to the technical field of seismic signal processing and interpretation, and particularly discloses a seismic data reprocessing evaluation method and device, and the method comprises the steps: carrying out the reprocessing of old seismic data, and obtaining new seismic data; compared with the old seismic data, judging the new seismic data as follows; whether processing speed iteration is accurate, whether a stratum structure frame is reasonable, and whether a marker bed and a substrate are clear are determined; whether section analysis parameters are improved, whether a special geologic body is easy to identify, and whether data are real and reliable; based on the above judgment, a new seismic data volume which has advantages compared with old seismic data is selected as a final data volume. Compared with old seismic data, the method has the advantages that evaluation index judgment is performed on the new seismic data, and the new seismic data volume which has advantages compared with the old seismic data is selected as the final data volume, so that the amplitude fidelity, the signal-to-noise ratio, the resolution and the structural imaging precision of the seismic imaging processing result are remarkably improved, and the processing evaluation efficiency is improved.

Disclosed are an apparatus and system for evaluating a welding condition on the basis of three-dimensional data. An aspect of the present embodiment provides an apparatus for evaluating a welding condition, the apparatus including a communication unit configured to receive a three-dimensional image for an evaluation target from the outside, a base material recognition unit configured to recognize a base material from the three-dimensional image for the evaluation target by using a point cloud, a bead extraction unit configured to extract a welding bead welded between the base materials, a bead cross-section acquisition unit configured to acquire cross-sections at preset intervals for the extracted welding bead, and a profile analysis unit configured to analyze a profile of the welding bead for the cross-section acquired by the bead cross-section acquisition unit.

The film and television script extraction method and device, the storage medium and the computer device provided by the application, after the audio and video file of the film and television is split into a video file and an audio file, the video file is subjected to feature recognition to obtain a subtitle text, a speaker face information and a video understanding text; and the audio file is subjected to speech understanding to obtain a speech transcription text and a speech understanding text; wherein the speech transcription text can be corrected into a standard transcription text with higher accuracy through the subtitle text. Therefore, based on the speaker face information, the standard transcription text and the dialogue segment of each speaker in the audio and video file are aligned, the speaker information with accurate segmentation and coherent semantics can be obtained, then the script information is constructed by combining the character profile text generated by the profile analysis of the speaker based on the video, the speech understanding text and the speaker information, the script information can cover the related feature description of the character on the basis of the dialogue content, thereby enriching the content and depth of the script.

This invention discloses a method for predicting the hydroelastic response of high-speed large monohull vessels considering outward slamming. The method includes: constructing multiple coordinate systems adapted to the vessel's navigation state and profile analysis; obtaining core structural parameters and hydrodynamic coefficients by combining dry modal analysis and time-domain hydroelasticity theory; and obtaining a two-dimensional profile by cutting key areas of the hull. z The wave-making effect of the bow in still water at high speeds is determined by the shaft angle gauge; the relative motion parameters of the cross-section and the incident wave and the generalized slamming force are calculated; the time-domain hydroelasticity equations containing the slamming force are solved using an asynchronous coupling method and numerical solution technology to obtain the hydroelastic response results. This invention overcomes the limitations of low-speed applications, balances prediction accuracy and computational efficiency, does not rely on operator experience, has strong solution stability, and can be directly used for overall strength verification at different design stages of ships, providing reliable support for the safety assessment of structures related to slamming at high-speed ships.

The invention relates to a beverage quality and flavor profile analysis system comprising an Electronic Nose (E-Nose), an Electronic Tongue (E-Tongue), and an artificial intelligence infrastructure based on electroencephalography (EEG) signals obtained from individuals who taste and evaluate beverages (particularly tea).

The present disclosure provides a method and a system for extracting fiber cross-section profile. The method comprises the following steps. An image reading step reads yarn cross-section images, wherein the yarn cross-section images comprise first type cross-sections and second type cross-sections. A first image preprocessing step provides a selection signal to select the first type cross-sections or the second type cross-sections. A second image preprocessing step segments the selected cross-sections from the yarn cross-section images as regions of interest. A feature extraction step calculates frequency domain features, gradient features and color features according to the selection signal. A cross-section profile extraction step extracts cross-section profiles of the regions of interest according to the frequency domain features, the gradient features and the color features. The present disclosure also provides a system for extracting fiber cross-section profile. Thus, the analysis time of fiber profile can be greatly saved, and the accuracy of fiber profile analysis can be significantly improved.

1. The name of the design product: electronic device stack trace profiling analysis function visualization graphical user interface. 2. The use of the design product: an electronic device. 3. The design points of the design product: in the graphical user interface. 4. The picture or photo that best indicates the design points: front view. 5. The use of the graphical user interface: for collected profile data to support correlation trace / span, support jumping from a trace / span to related profiling. 6. The human-computer interaction mode of the graphical user interface: the front view is the initial interface; after clicking the "stacktraces" icon below the front view, interface change state diagram 1 is entered; after clicking interface change state diagram 1, entering "un" in the search bar below the flame diagram, interface change state diagram 2 is entered; after clicking interface change state diagram 2, sliding the mouse, interface change state diagram 3 is entered. 7. Other circumstances that need to be explained: the display screen panel is used for an electronic device.