20results about How to "Restore accurately" patented technology

This invention relates to the technical field of simulation analysis methods for downhole tools in oil and gas fields, and discloses a high-precision dynamic simulation analysis method for full-size drilling and milling tools based on an adaptive FEM-SPH coupled algorithm. The method includes three processes: model establishment, model solving, and performance evaluation. The first process is model establishment, which involves obtaining the geometric model of the drilling and milling tool through model reconstruction technology, and establishing a high-precision dynamic simulation analysis model for the full-size drilling and milling tool based on a wear prediction model and the adaptive SPH-FEM coupled algorithm. The second process is model solving, which involves solving the model after successively changing the drilling pressure and rotational speed, and batch processing the simulation results using Python. The third process is performance evaluation, which evaluates the performance of the drilling and milling tool from three aspects: efficiency, safety, and lifespan. This invention improves simulation accuracy from three aspects: geometric modeling, wear simulation, and solution algorithm, and evaluates the performance of the drilling and milling tool from three aspects: efficiency, safety, and lifespan.

The application is suitable for the technical field of data processing, and provides a negative feedback monitoring method applied to media data, which comprises the following steps: step S1: media data collection and fusion: collecting media data and user interaction behavior data from different channels, and constructing a unified user session sequence model to time-correlate multi-modal data within a single user session; step S2: multi-modal negative feedback feature fusion: processing the media data, extracting negative feedback features of text, vision, audio and user behavior modes, and analyzing the correlation between different modal negative feedback features by using a cross-modal correlator. The application effectively avoids the problem of cross-session data fragmentation by limiting the operation range of the user session sequence model to a single continuous access period.

The application discloses a method for supporting multi-terminal touch screen information collection and restoration. A data collection terminal collects touch screen data on different signing terminals. A handwriting data conversion module in a data processing layer pre-processes the touch screen data obtained from the different signing terminals, converts multi-terminal handwriting data into standard handwriting data packets in a screen coordinate system, determines key frames of the touch screen data, fills in the blank between adjacent point positions of the touch screen data by using a tweening animation algorithm to ensure that there is no broken line, calls a Bezier curve algorithm to determine the intermediate frame inserted between the two key frames, so that the handwriting is smooth, and the obtained touch screen data is converted into lines close to the natural handwriting habit of a person. A rendering layer determines the size of a handwriting point according to the coordinates of a current point position on a canvas, real-time pressure data and a predetermined thickness, renders a handwriting track, and generates an electronic signature.

This invention discloses a cable production identification and monitoring system and method based on cable images, belonging to the field of image recognition technology. The system includes: acquiring a sequence of cable surface depth images to construct a grayscale surface map along the cable surface depth direction; using the central ridge of the grayscale surface map as a dynamic axis of symmetry, detecting candidate pixels through multi-scale morphological top-hat transformation to form a symmetrical residual distribution map; combining the eight-neighbor gradient direction field and Hessian matrix curvature to remove false defect points, obtaining an effective image, and inputting it into a pre-trained multi-task neural network to simultaneously output a defect segmentation mask and category label; generating a three-dimensional mesh model with dimensional accuracy through Poisson surface reconstruction; and finally, using the physical coordinates of the defect center to drive a laser marking machine to mark a QR code containing key information, which is then associated and stored in a blockchain database. This application improves the accuracy and efficiency of defect identification, realizing the quantitative characterization and full lifecycle management of defects.

The application proposes a large-scale MIMO system channel graph construction method based on a latent space diffusion model (LDM). The method uses the spatial consistency of the large-scale MIMO system channel to learn the conditional probability distribution of the statistical channel state information (sCSI) about the user terminal position to construct the channel graph. An improved variational autoencoder (VAE) is used to learn the low-dimensional representation of high-dimensional sCSI, and the LDM is improved to improve the generation accuracy of the low-dimensional representation of sCSI, and then a channel graph containing position and sCSI low-dimensional representation data is constructed. The storage and transmission cost of the channel graph is greatly reduced compared with directly using high-dimensional sCSI, and the sCSI low-dimensional representation in the channel graph can be accurately restored to high-dimensional sCSI using VAE, and the generation process does not depend on the pilot signal, which greatly saves the pilot overhead while accurately generating sCSI.

This application relates to the field of target detection technology and provides a method and apparatus for determining roadside base station installation information. In this method, a high-precision map is used as the basic simulation environment, combined with sensor simulation techniques, to accurately reconstruct the perception results of roadside base stations within the target area. Furthermore, considering that pedestrian data is typically limited during simulation, potentially leading to the omission of blind spots and affecting the installation layout of roadside base stations, a pedestrian model is incorporated to update the blind spot information. The resulting base station installation locations further enhance the perception capabilities of the roadside base stations.

The present application relates to the technical field of finite element modeling, in particular to a kind of chest impactor or dummy two-dimensional displacement sensor finite element modeling method.The present application includes: respectively carrying out geometric modeling and meshing for slide rail sleeve, support and other components;For slide rail sleeve, set up elastic-plastic material, for support, set up rigid material;Arrange node in measuring point, the most front end of slide rail sleeve and support interior, connect the node on measuring point, slide rail sleeve and support by BEAM unit;Between support, set up hinge that can only rotate around Z axis;For slide rail sleeve, set up self-contact to realize telescopic movement;Establish discrete unit from measuring point to different support center, for output one-dimensional or two-dimensional compression displacement data and rotation angle data;Calculate two-dimensional displacement component of measuring point relative to reference point.The technical scheme can accurately restore the actual working state of sensor, while ensuring the accuracy of mass distribution during dynamic compression.

This invention relates to the field of radar speed measurement technology, specifically to a method, device, and system for measuring vehicle speed on highways. By acquiring continuous frames of vehicle point cloud data at highway speed measurement points, the three-dimensional shape and spatial position changes of vehicles can be captured. Cluster analysis yields initial clusters, allowing for preliminary classification of different vehicle point clouds. However, vehicle lane changes can cause point clouds to geometrically stick together. Therefore, the motion displacement of vehicle point clouds in adjacent frames is analyzed to determine displacement vectors. Further analysis of their discrepancy characteristics and positional distribution in each frame distinguishes between vehicle clusters and aliased clusters, avoiding misjudgment. Next, within each frame of aliased clusters, clustering based on displacement vectors is used to finely segment the aliased point cloud, restoring the data for each vehicle and eliminating speed measurement interference. Finally, in different frames, the same vehicle is identified by matching the motion and shape characteristics of vehicle clusters. Speed ​​is calculated by matching cluster displacements and frame differences, providing reliable data for traffic management and safety assurance.

The application provides a three-dimensional Gaussian sputtering model training method and device and a dynamic object three-dimensional reconstruction method, and relates to the technical field of three-dimensional reconstruction. The method comprises the following steps: obtaining a training data set, performing Gaussian modeling on the three-dimensional Gaussian data set of a sample dynamic object by using a Gaussian module in an initial three-dimensional Gaussian sputtering model according to color images of multiple perspectives, spattering each three-dimensional Gaussian data in the three-dimensional Gaussian data set to a preset two-dimensional space to obtain corresponding two-dimensional sputtering data, rendering the two-dimensional sputtering data to obtain prediction rendering results of multiple perspectives, calculating a rendering loss according to the color images of multiple perspectives and the prediction rendering images of the corresponding perspectives, obtaining a motion loss according to the color images of multiple perspectives, the three-dimensional Gaussian data set and the sample motion event, and training the initial three-dimensional Gaussian sputtering model to obtain a target three-dimensional Gaussian sputtering model. The application improves the stability and accuracy of three-dimensional reconstruction.

This invention relates to the field of communication network technology, and particularly to an HPLC+HRF dual-mode communication method and system. The method includes the following steps: S1, a tail node listens to the head node's beacon frames transmitted in the high-speed power line carrier HPLC channel and the high-speed radio frequency HRF channel, extracts the signal strength parameters and signal-to-noise ratio parameters of the head beacon frames, and constructs a comprehensive channel quality matrix; S2, the tail node sends a network access request to the head node based on the comprehensive channel quality matrix. In this invention, to address the problem of high energy consumption and transmission interruption caused by continuous retransmissions under poor channel conditions, an energy state vector is generated by cascading the channel state and hardware discharge gradient. When the vector exceeds the limit, the high-energy-consuming channel is shut down and unsent messages are redirected to the radio frequency channel for ordered transmission, effectively blocking unnecessary power consumption overhead and ensuring smooth switching and delivery of service messages.

Embodiments of the present application relate to the technical field of image processing, and disclose a method for training an image generation model and related apparatuses. A pre-trained age detection model is used to detect the age of each real face image to obtain a predicted age, and an age difference between the predicted age and a real age is calculated. The age difference and the real face image are input into an image generation network for fusion to generate a predicted face image affected by the age difference. The predicted age can reflect the universal age characteristics of the real face image, and the age difference can reflect the individual age characteristics (older or younger) of the input image. Thus, the age difference can guide the image generation network to learn the individual age characteristics of the input image. The trained image generation model can accurately generate an age change image that conforms to the individual age characteristics and the expected age based on the age difference between the expected age and the real age.

A kind of double position radial fracture test system of safety pull-off valve for petrochemical industry, the middle part of the upper end of the chassis is provided with high-frequency high-pressure pulse air gun moving along the upper end between right end support assembly and left end support assembly, left end support assembly is connected with pressure increasing device, the shooting port of high-resolution image measurement and simulation optimization analysis system moves along the upper end between right end support assembly and left end support assembly, and safety pull-off valve to be measured is arranged between the upper end of right end support assembly and left end support assembly.The main advantages are: high-precision, high-resolution full-strain or instantaneous deformation fracture measurement is realized, the instantaneous shear fracture process of safety pull-off valve under sudden dragging process is accurately and effectively simulated and measured, the degree of automation is high, the measurement and analysis precision is high, the detection timeliness and accuracy are improved, the detection cost is reduced, and the product safety and quality are improved.

This application relates to the field of intelligent mining technology and discloses a method for constructing a digital model of an automated mining face. The method includes: collecting the coordinates of roadway targets and the dip control points of the cutting face; selecting three points to construct a reference plane reflecting the strike and dip of the coal seam; calculating the normal offset of the dip control points relative to the reference plane, constructing an interpolation function and performing spatial mapping to generate a coal seam floor surface; recursively generating multi-segment surfaces along the advancing direction and constructing a three-dimensional solid model in conjunction with the coal thickness; during the mining process, calculating the error between the measured data and the model, decomposing the error into trend and fluctuation terms, and introducing spatial attenuation weights to dynamically correct unmined areas. This invention, by combining a reference plane and offset mapping, takes into account both macroscopic occurrence and local undulation characteristics, and achieves closed-loop updating of the model through error decomposition, thereby improving the accuracy and environmental adaptability of the geological model.

This invention provides a method and apparatus for determining the equivalent adiabatic temperature rise of concrete, comprising: constructing a heat transfer model of a calorimeter under semi-adiabatic conditions and representing the total heat transfer power of the calorimeter; determining the heat loss coefficient of the calorimeter using a calibration device; deriving the heat capacity of the calorimeter by turning off the calibration device; obtaining the calibrated calorimeter based on the heat loss coefficient and heat capacity of the calorimeter, and conducting a semi-adiabatic test; calculating the equivalent heat of hydration and equivalent adiabatic temperature rise based on the sampling data during the semi-adiabatic test, combined with the specific heat capacity and mass parameters of the concrete sample, thus completing the determination of the equivalent adiabatic temperature rise of concrete. This invention simplifies equipment, reduces costs, accurately compensates for heat loss, precisely recreates the hydration heat release process of concrete, ensures the scientific validity and comparability of the test, and promotes the advancement of quality control technology for large-volume concrete.

The application discloses a hard rock explosion test system and method under deep geostress environment, and belongs to the technical field of rock blasting optimization design. The system comprises a geostress hydraulic loading module, a sample bearing module, a blasting occurrence module, a non-contact optical measurement module and an automatic triggering device. The method comprises the following steps: processing a sample, assembling the system, laying out a blasting structure, processing the surface of the sample, loading geostress, preparing for measurement, performing explosion test and processing data. The system and method solve the blank of a large-size and large-equivalent blasting test platform and analysis means under deep in-situ geostress. A digital image correlation analysis system with parallel and efficient calculation is constructed, and explosion pressure field can be quickly inverted.

This invention relates to the field of virtual power plant technology, specifically to a method and system for representing the feasible region of a virtual power plant considering spatiotemporal coupling constraints. The invention provides a scheme for characterizing the feasible region of a virtual power plant across the entire time domain, considering both temporal coupling constraints and network topology constraints. It can decouple the original high-dimensional temporally coupled operating domain into multiple low-dimensional temporally decoupled operating domains without reducing model accuracy, significantly reducing the computational complexity of the convex hull algorithm. Compared to existing technologies, the feasible region characterization method proposed in this application can adapt to the full-time domain modeling needs of virtual power plants in scenarios with different types of temporally coupled devices, such as distributed energy storage and micro gas turbines. Compared to existing technologies, the feasible region characterization method proposed in this application can adapt to the full-time domain modeling needs of virtual power plants with network topology constraints, and the characterized equivalent operating domain can more accurately restore the temporal coupling characteristics and network topology constraints of the original operating domain.

The invention provides an anti-interference object tunnel section extraction method and system based on three-dimensional point cloud data, and relates to the technical field of laser point cloud measurement. The method comprises the steps of S1, obtaining three-dimensional point cloud data, and performing preprocessing; s2, converting the three-dimensional coordinates of the preprocessed point cloud data; s3, intercepting a point cloud in a current stake mark range according to a preset thickness to obtain a section measurement point data set; s4, calculating the polar coordinate angle of each measurement point, and carrying out ordered sorting according to the size of the polar coordinate angle; s5, according to a preset threshold value, abnormal protruding point detection, convex hull detection, broken part filtering and adherent interferent removal are carried out; S6, the remaining section measuring points are connected in sequence, and a final tunnel section closed line is formed; point cloud data generated by various interferents in the tunnel are identified and automatically removed, the real shape of the tunnel section is precisely restored, the anti-interference capability is improved, the inside page measurement operation efficiency is improved, and the speed and precision of three-dimensional laser point cloud tunnel section extraction under complex conditions are improved.

Embodiments of the present application disclose a kind of sea surface environment simulation method, device, electronic equipment, storage medium and program, wherein, method includes: the sea surface grid model of target sea area is established;According to the sea surface grid model of the target sea area, the sea surface network hierarchical display data model corresponding to the sea surface grid model is established;According to target view angle parameter, the sea surface network hierarchical display data model is carried out precision processing, and target sea surface network hierarchical display data model is obtained;According to the target sea surface network hierarchical display data model, the initial sea surface simulation model of the target sea area is determined;According to the real sea area environment data of the target sea area, the initial sea surface simulation model of the target sea area is carried out sea wave rendering and color rendering, and the target sea surface simulation model of the target sea area is generated.The technical scheme of the embodiment of the present application can accurately restore the sea surface features of target sea area, improve the precision and reliability of sea surface environment simulation.

This utility model relates to a core-shell structure quantum dot dual-band anti-blue light backlight module in the field of display technology. It includes a substrate with a driving circuit on it. From bottom to top, the substrate is sequentially arranged with a light source layer, an emissive layer, a filter layer, and a diffusion layer. The light source layer is composed of blue quantum dots, and the emissive layer is composed of red quantum dots (CsPbBr3), green quantum dots (CsPbBr3), and transparent polystyrene, with the red and green quantum dots uniformly dispersed in the transparent polystyrene. The filter layer is a perovskite quantum dot core-shell structure layer, constructed using perovskite quantum dot core-shell material (CsPbBr3 / ZnS). The diffusion layer is composed of nanoscale polymer particles and EVA. This utility model provides eye protection, improves image quality, meets the human eye's visual brightness requirements and color synthesis needs, and brings users a display effect that combines health and a high-quality visual experience.

This application discloses a method and system for monitoring the status of garden greening based on UAV remote sensing, belonging to the field of image processing technology. The method includes: acquiring point cloud and hyperspectral images of the garden; generating a preliminary high-density LiDAR point cloud; identifying absolute blind spots, performing pixel decomposition on pixels in the absolute blind spots, inferring the morphological parameters of vegetation in the blind spots, and stitching the point clouds to obtain a complete high-density LiDAR point cloud; generating SfM sparse point clouds and fusing them to form a fused point cloud; extracting multi-dimensional features, inputting them into an improved ConvLSTM model, and obtaining a full-area vegetation feature set including growth and aesthetics; and performing growth assessment and aesthetics assessment. This application solves the blind spot problem caused by canopy occlusion by using dual-band LiDAR multi-view fusion, hyperspectral hybrid pixel decomposition, and point cloud completion technology; at the same time, it constructs a dual-dimensional assessment system of growth and aesthetics to avoid the problem of disconnect from the ground experience caused by focusing only on growth.