26results about How to "Resolve mismatch" patented technology

The application discloses a kind of full-process supervision systems based on visual offline identification, and the application relates to component production technical field, it is solved that existing technology mostly stays in single size comparison level, lack of the problem of full-process integrated supervision mechanism from model generation, standard matching, automatic splicing to assembly verification, the unified check feature of the present application is constructed by built-in midpoint, plane midpoint and feature vector, corresponding three-dimensional standard model can be matched from model database quickly and accurately, the identification logic is stable, and the anti-interference is strong, effectively avoid the model mismatching problem caused by similar appearance;Through the vector comparison of reference feature and component feature, length difference and included angle calculation, the assembly accuracy can be quantitatively judged, and the assembly standard, correctable and substandard state can be distinguished, the visualization and digitization of assembly quality are realized, the on-site quick error correction and traceability are facilitated, and the assembly reliability and overall production quality of flow line are effectively improved.

This utility model relates to the field of medical device technology and discloses a nasogastric tube feeding pump connector. The connector includes a connector body, a feeding tube connector mounted at the top of the connector body, and a screw-type nasogastric tube connector at the bottom of the connector body. A fixing plate is provided on the outer wall of the connector body. This utility model, by setting a straight-mouth nasogastric tube connector, a screw-type nasogastric tube connector, and a connecting block, allows the straight-mouth nasogastric tube to be connected to the straight-mouth nasogastric tube by threading the connecting block, thus connecting the straight-mouth nasogastric tube to the feeding tube. By unscrewing the straight-mouth nasogastric tube connector from the connecting block, the screw-type nasogastric tube can be directly connected to the screw-type nasogastric tube connector, thus connecting the screw-type nasogastric tube to the feeding tube. This solves the common clinical problem of mismatch between nasogastric tubes and feeding tube connectors, and simultaneously meets the needs of connecting screw-type and straight-mouth nasogastric tubes to nasogastric feeding tubes.

The positioning method, device, robot, medium and product of the robot provided in the application, the method comprising: obtaining a current map generated by the robot at a current position, matching the current map with a preset global map to obtain a matching result; the matching result comprising at least one candidate pose solution and a matching degree corresponding to the at least one candidate pose solution; in a case where it is determined that the matching result satisfies a first preset condition, controlling the robot to perform a subsequent task, and in the process of performing the subsequent task, verifying the at least one candidate pose solution based on an updated current map obtained to obtain a target pose solution. The application quickly generates candidate results through local data and dynamically verifies during cleaning, effectively shortens the repositioning time, and improves the user experience.

The invention discloses a lane signal map construction method and system based on crowdsourcing data, and belongs to the technical field of vehicle localization, and the method comprises the steps: employing a Bayesian state estimation algorithm to estimate the obtained crowdsourcing data, and obtaining a vehicle motion track, inertial navigation error model parameters and magnetometer error model parameters; carrying out feature representation on the magnetic field sequence based on the vehicle motion trails by adopting a deep representation learning method to obtain magnetic field sequence features of key frames, and carrying out key frame association on the magnetic field sequence features by utilizing a loopback detection method to obtain loopback constraints among different trails; and constructing a three-dimensional trajectory inequality constraint based on key frame association, and constructing a global trajectory optimization constraint and obtaining a lane signal map in combination with inertial navigation error model parameters, magnetometer error model parameters and loopback constraints among different trajectories. According to the invention, the method achieves the construction of the lane-level road feature map based on crowdsourcing data, and remarkably reduces the cost of a lane-level positioning scheme based on road feature matching.

This invention discloses a method and system for UI element localization in cross-platform, full-scenario RPA based on functional semantics, belonging to the field of robotic process automation technology. It includes a pre-construction step, an element recording step, and an element playback step. The pre-construction step involves pre-constructing a UI element functional semantic ontology library specific to the RPA business scenario. This ontology library includes a standardized element functional semantic tag system independent of the client side, business context rules corresponding to each semantic tag, and interactive behavior features. By pre-constructing a client-side independent functional semantic ontology library specific to the RPA business scenario, and using business functional semantics as the core, this invention constructs a cross-platform generalized feature vector for target elements, freeing them from the binding limitations of recording client features. After the same business process is recorded on the Web client, it can be directly run on PC desktop clients, mobile mini-programs, domestic terminals, and closed systems without interfaces without modification, effectively solving the problem of high repetitive development costs in cross-platform scenarios.

The utility model discloses a power device double-string crimping structure for a converter valve, which relates to the field of flexible direct-current power transmission and comprises an IGBT (insulated gate bipolar transistor) voltage string and a diode voltage string, the IGBT voltage string is composed of a plurality of IGBTs and a first radiator which are stacked in a staggered manner, and the diode voltage string is composed of a plurality of diodes and a second radiator which are stacked in a staggered manner. The IGBT voltage string and the diode voltage string are parallel to each other and are connected through a supporting structural member to form a double-string crimping structure, the second radiator is provided with a protruding structure, the protruding structure is located on the outer side of the bottom of the double-string crimping structure, the first copper bar and the voltage-sharing resistor are installed on the protruding structure, and the second copper bar and the voltage-sharing resistor are installed on the protruding structure. The second copper bar is installed between the first radiator and the second radiator and corresponds to the installation position of the first copper bar, the third copper bar and the laminated busbar are sequentially installed on the side face of the double-string crimping structure in an overlapped mode, the third copper bar corresponds to the installation position of the first copper bar, the pipeline assembly is connected with the adjacent first radiator, and the pipeline assembly is connected with the second radiator. And the adjacent second radiators are connected.

This invention relates to a compliant grasping method and system for robotic arms that integrates RGB-D vision and dynamic inertia adaptive MPC, belonging to the field of robotic arm control technology. It calculates the Cartesian equivalent inertia of the robotic arm's end effector in real time using the joint space inertia matrix and the end effector position Jacobian matrix, constructing a three-layer control architecture of "perception-optimization-execution." It integrates RGB-D visual positioning and multi-stage fifth-order polynomial interpolation trajectory generation technology to achieve a synergistic guarantee of high precision and compliant force control in grasping tasks. Dynamic iterative optimization is performed based on real-time status feedback, ensuring millimeter-level trajectory tracking accuracy of the end effector while strictly limiting the end force within a safe threshold range. This invention achieves deep integration of dynamic inertia estimation and multi-level control, ensuring that the robotic arm can still achieve high-precision and highly compliant grasping operations under complex conditions such as unknown loads and dynamic joint configurations.

The invention provides a pixel gradient and NCC-based wafer image stitching method and device. The method comprises the steps of determining edge pixel points of which the pixel gradient magnitude of an overlapping region of two adjacent line scanning images is greater than a first threshold value; calculating the ratio of the horizontal projection and the vertical projection of the edge pixel points to the height and the width of the unit image; when the ratio is greater than a second threshold value, determining that a graphic feature exists; determining a region of interest according to the graphic features; selecting a region corresponding to the region of interest in the first line scanning image as a template image; determining a credible direction of the region of interest relative to the template image according to the gradient direction and the amplitude of the edge pixel point; performing NCC calculation on the region of interest along the credible direction to determine an integer pixel matching position; sub-pixel offset is calculated through quadratic surface or quadratic curve fitting; and splicing the first line scanning image and the second line scanning image according to the sub-pixel offset. According to the embodiment of the invention, the image splicing precision can be improved while the production efficiency is improved.

This invention relates to the field of three-dimensional image data processing technology, and particularly to a method and system for wire connection node matching and conductor reconstruction based on multi-source point cloud constraints. The method and system, by comprehensively utilizing conductor point cloud data, tower point cloud data, and tower 3D model data, achieve automatic identification and accurate reconstruction of conductor connection relationships between adjacent towers. It fully utilizes the real spatial morphology reflected by the conductor point cloud to establish a globally optimal matching relationship among candidate wire connection node sets of adjacent towers, and integrates structural priors and engineering constraints to accurately determine the actual conductor connection position and achieve continuous spatial reconstruction of the conductor. This solves the problems of low accuracy, poor robustness, and insufficient engineering applicability in existing technologies for conductor connection node matching.

This application discloses an adaptive configuration method, apparatus, device, and storage medium for JP cabinets, belonging to the field of JP cabinet load configuration technology. This application obtains a main node graph characterizing the real-time operating status of a distribution transformer area and a secondary node graph characterizing the future operating trend and adjustability of the distribution transformer area; it performs cross-graph feature fusion on the main node graph and the secondary node graph, and outputs adaptive configuration instructions for the nodes where each JP cabinet in the distribution transformer area is located based on the cross-graph feature fusion result; it sends the adaptive configuration instructions to the corresponding JP cabinets for execution and collects the operating status data after execution; based on the operating status data, it synchronously updates the main node graph and the secondary node graph, and continuously optimizes the configuration parameters of each JP cabinet based on the updated main node graph and secondary node graph, thereby achieving the effect of accurately allocating the load of the JP cabinets.

The present application belongs to copper pyrometallurgy technical field, specifically discloses a kind of dynamic optimization method of double-side blowing copper smelting slag type based on molten pool working condition real-time monitoring and model driving.The method includes: real-time acquisition molten pool temperature, flue gas oxygen content, slag Fe3O4 Content and viscosity and other multiple key working condition parameters;Parameter is input into the preset control model, the expert rule based on metallurgical thermodynamics and production data is embedded in the model, and the dynamic adjustment amount of SiO2, CaO, MgO three kinds of slag forming agent is calculated accordingly;According to the adjustment amount, the proportion of slag forming agent is adjusted in real time;Periodic acquisition of slag sample analysis, compare measured value with model expected value, and feedback correction model parameters, realize closed-loop optimization.The present application can dynamically adjust slag type according to molten pool real-time working condition, reduce the fluctuation of slag fluidity by more than 40%, stabilize the copper content of slag below 1.5%, and improve the direct recovery rate of copper to more than 97.5%, significantly improve the process stability and metal recovery rate.

The invention relates to the technical field of rolling bearing fault diagnosis, and discloses a full-life rolling bearing fault diagnosis method based on mechanism data migration. The method comprises the steps that a rolling body radial displacement excitation function, the time-varying contact rigidity of a rolling body and a bearing raceway and the impact force at the contact defect position of the rolling body in a mass-spring-damping model are corrected based on the Hertz contact theory, and a nonlinear kinetic equation of the rolling bearing is obtained; solving a nonlinear kinetic equation of the rolling bearing through a fourth-order Runge-Kutta method, generating source domain data consistent with test parameters of the full-life rolling bearing, and constructing a source domain data set with a complete fault tag; according to the method, the dynamic mechanism model consistent with the full-life test bearing parameters is constructed, the feature distribution difference between the generated source domain data and the target domain data is small, a foundation is laid for efficient knowledge migration, and the problem that traditional source domain data is not matched with actual data is solved.

The invention relates to the technical field of wireless transmission, in particular to an antenna switching circuit and a Wifi radio frequency parameter algorithm design method. Comprising a radio frequency switch, and the radio frequency switch is provided with a radio frequency input port used for receiving Wifi 2.4 G, 5G or 6G signals and a control port used for being electrically connected with a GPIO port of a CPU to receive control signals sent by the CPU so as to switch a radio frequency path. By designing the antenna switching circuit comprising the radio frequency switch, the flexible switching of the Wifi signal among different radio frequency paths is realized, and the design is copied by other links of the MIMO link, so that the consistency of multi-link switching is ensured. In combination with a Wifi radio frequency parameter algorithm, firstly, original calibration parameters are generated for a path with the maximum insertion loss as a basis, then multi-state correction parameters are generated for other paths according to characteristics such as link insertion loss and reflection indexes, and the corresponding correction parameters are called when the radio frequency paths are switched, so that optimal matching of radio frequency parameters of different paths is realized.

The invention relates to the technical field of image processing, in particular to an equipment cluster target information positioning method based on a neural network model, and the method comprises the following steps: 1, obtaining an operation instruction of target equipment and video information corresponding to the operation instruction, and generating an operation sample; collecting a plurality of operation samples for each type of operation instruction, and generating an operation sample data set corresponding to the operation instruction; 2, acquiring image information of an operation panel of the target equipment, and generating three-dimensional modeling information of the operation panel based on a point cloud algorithm; 3, inputting the operation sample data set into the feature extraction network model; and 4, correspondingly mapping the targets in the target instruction set into the three-dimensional modeling information, and generating target mapping information of the operation instruction in the real world. According to the scheme, the intelligent identification and positioning of the equipment operation state and the target information can be realized without carrying out any physical transformation on the equipment or obtaining the authorization of an original factory interface.

The application provides a repeated value sorting method for inequality connection in a database and a computer readable storage medium. The repeated value sorting method for inequality connection in the database comprises the following steps: receiving a query request containing multiple inequality connection conditions in a database, determining connection columns corresponding to each connection condition and a comparison operation type; setting a sorting rule according to the comparison operation type, sorting and merging left table and right table connection columns participating in connection to construct a first sorting array with a repeated value flag bit and a table identification bit; constructing a second sorting array and a permutation array based on the first sorting array, initializing a Bloom filter corresponding to a data block of a bit array; double-pointer traversing the second sorting array to match tuples satisfying the connection condition, setting corresponding positions of the bit array and the Bloom filter as valid identification values; and coarsely filtering the bit array through the Bloom filter and scanning effective data blocks, combining the table identification bit to map the matched tuples back to original tables to obtain an inequality connection result of the database.

The invention particularly relates to a semantic knowledge migration-based high dynamic range imaging method, which comprises the following steps of: acquiring a low dynamic range image, and generating an initial high dynamic range image by utilizing an initial high dynamic range reconstruction model; converting the initial high dynamic range image into a reconstructed image of a standard dynamic range domain through domain migration operation; processing the reconstructed image of the standard dynamic range domain by adopting a semantic segmentation network SAM to obtain semantic priori; processing the reconstructed image of the standard dynamic range domain by combining semantic prior with a semantic prior guidance reconstruction model to obtain a refined reconstructed image; based on a knowledge distillation method, cross-domain semantic priori migration is realized at three levels of content, color and features, and an initial high dynamic range reconstruction model is optimized through a combined loss function; in the reasoning stage, only the optimized initial high dynamic range reconstruction model is adopted to output a final high dynamic range image. According to the method, high-dynamic-range image reconstruction is carried out by effectively utilizing the advanced capability of semantic priori.

This invention relates to the field of marine power system control technology, and particularly to a hybrid power management method for ships based on the synergy of shaft-driven power generation and lithium batteries. The method includes: real-time acquisition of the ship's power grid load demand, the output power of the shaft-driven power generation system, the state of charge of the lithium battery system, and the rotational speed of the ship's main engine; adaptively determining the current system operating mode; calculating the real-time power difference between the load demand and the output power of the shaft-driven power generation system; generating a target charge / discharge power for the lithium battery system; obtaining a safe command charge / discharge power; controlling the lithium battery system to execute the command charge / discharge power, and controlling the shaft-driven power generation system to operate according to the target of the current mode. Through precise power scheduling and adaptive switching of system operating modes, the method ensures that the ship's power system always operates in an energy-optimal state under different operating conditions.

The invention discloses a security check method and system based on multi-model collaboration, and the method comprises the steps: carrying out the preprocessing of multi-dimensional detection data of a target region, and obtaining a detection image and attached metadata; inputting the detection image and the attached metadata into a lightweight target detection model to obtain a target area image and structured metadata; respectively inputting the detection image, the attached metadata, the target area image and the structured metadata into a multi-modal large model to obtain global semantic information and local semantic information; performing keyword retrieval, vector matching and cross-modal adapter retrieval on the global semantic information in an external professional knowledge base to obtain safety knowledge entries; and inputting the local semantic information, the global semantic information and the safety knowledge entries into a multi-modal large model to obtain a potential safety hazard region, potential safety hazard contents, improvement suggestions and safety regulations. The method is high in positioning precision and high in output reliability, and has professional field knowledge guarantee.

The application discloses a kind of water resource investigation data real-time assimilation methods based on Internet of Things and kilometer grid, comprising: pre-processing to multi-source monitoring data, form kilometer grid data;Quality control is carried out in edge computing node, and hydrological response unit is divided, and state variable is quickly predicted using lightweight machine learning agent model;With DHRU as unit, real-time data assimilation is carried out on edge side;Based on event discrimination, significant change information is uploaded to cloud computing center;Cloud gathers global data and carries out periodic deep assimilation and model parameter global calibration, generates high-precision kilometer grid water resource state product, and the optimized model and parameter are fed back to edge node;Finally, multi-level water resource investigation service product is generated.The application solves the problem that fixed model unit does not match dynamic hydrological process and traditional assimilation calculation efficiency is low, realizes high-precision, high-efficiency real-time sensing and prediction of water resource state.

The invention relates to the technical field of educational information processing, in particular to a question bank knowledge point screening method and system based on text analysis. The method comprises the following steps: extracting a plurality of candidate nodes corresponding to old nodes mounted on test questions to be processed in a new outline map, and obtaining test question text vectors of the test questions; generating a unique feature vector according to the unique vocabulary, different from other candidate nodes, of each candidate node; determining text similarity according to the test question text vector and each unique feature vector; determining a topological matching degree according to a matching relationship between a historical associated node set constructed based on historical test paper records and a topological neighborhood set of each candidate node; generating a mutual exclusion identifier according to whether each candidate node belongs to a historical associated node set; the text similarity, the topological matching degree and the mutual exclusion identification are fused, and a comprehensive cost value is determined; and comparing the minimum comprehensive cost value with a preset cost threshold value, and determining to execute node updating or isolation operation on the test questions according to a comparison result, so that accurate screening of the stock test questions is realized.

This invention discloses a landslide extraction method based on an improved U-Net network using asymmetric convolution. The method includes: multi-source data construction comprising acquiring six-channel data containing DEM data, slope information, and variation characteristics of the target area from high-resolution remote sensing images; and model construction employing a U-Net network structure overall, with the encoder using asymmetric convolution instead of the original standard convolutional layers, and the decoder using dense upsampling. This application first extracts variation characteristics and then inputs them into the model for training. In the prediction stage of the deep learning model training, DEM + slope + variation characteristics are used as constraints for landslides, enabling deep learning to extract deep data connections such as complex relationships between landslides and slope surfaces. It creatively utilizes asymmetric convolution to more accurately extract features in different directions without being affected by rotating targets, improving the network's robustness to rotational distortion.

The invention discloses a binocular stereoscopic vision underwater concrete three-dimensional reconstruction method based on a two-dimensional image domain, and belongs to the technical field of binocular stereoscopic vision underwater concrete three-dimensional reconstruction, and the method comprises the steps: obtaining an underwater video sequence, extracting a key frame, and constructing a two-dimensional time sequence motion model; based on the two-dimensional time sequence motion model, two-dimensional motion-texture joint denoising is adopted, and an optimized noise mask image is generated; based on the optimized noise mask image, establishing a disparity map by adopting a mask-guided stereo matching method, and constructing a three-dimensional point cloud according to the disparity map; and performing statistical filtering and voxel rasterization time sequence frequency screening on the three-dimensional point cloud to generate a pure underwater concrete three-dimensional point cloud. The method achieves the core target of'time sequence denoising + detail reservation ', has the advantages of being low in calculation cost, good in real-time performance and suitable for rapid reconstruction of massive underwater video data, solves the problem of resource waste caused by invalid calculation, and remarkably improves the real-time performance of the algorithm.

This invention discloses a method and system for intelligent agent platform permission management based on topology authorization, belonging to the field of enterprise-level software permission management technology. The method includes: in a graph database, using workstation-based office space nodes representing enterprise positions as basic units for organizational modeling; connecting the nodes using directed edges to construct a top-down authorization topology; transitively inheriting permissions along the authorization topology; and progressively aggregating business status data upwards along the reverse path of the authorization topology for access by higher-level workstation-based office space nodes. This invention solves the problems of existing permission management models failing to accurately match workstation-based organizational structures, exhibiting delayed and inefficient responses to organizational changes, and lacking real-time conflict detection and the ability to progressively aggregate business data.

This disclosure provides a multi-view stereo matching method based on optical flow consistency, belonging to the field of image processing technology. Specifically, it includes: performing downsampling using an image pyramid algorithm; calculating the depth map and normal vector map of each downsampled image; selecting the best neighboring image; calculating the optical flow motion vector of the downsampled image based on the dense optical flow algorithm and the best neighboring image; constructing optical flow consistency; jointly estimating the optical flow consistency and photometric consistency; recalculating the depth map and normal vector map of each downsampled image according to a cost function; comparing the obtained depth map and normal vector map using a detail restorer, and selecting the depth value and normal vector for each pixel using a selection function to obtain the final depth map and normal vector map for the next layer; finally, fusing the depth map and normal vector map into a three-dimensional point cloud model. This disclosure improves the accuracy and adaptability of image matching.

The utility model relates to the technical field of game equipment accessories, in particular to a structure for compatibility of a switch 1-generation handle and a switch 2-generation host. Comprising a support body, a Switch 2-generation host is arranged in the support body, switch 1-generation handle sliding rail structures are arranged on the two sides of the support body, switch 1-generation handles are connected to the switch 1-generation handle sliding rail structures in a physical sliding and buckling mode, a signal conversion module is arranged in the support body, and a switch 2-generation host is arranged in the signal conversion module. And the protocol conversion module is used for converting a data / charging protocol of a switch1-generation handle into a communication protocol compatible with a switch2-generation host. The utility model provides the structure compatible with the Switch generation 1 handle and the Switch generation 2 host for use, which has the advantages of strong cross-generation compatibility, improved user experience, stable and reliable structure, strong expansibility and reduced development cost of manufacturers.