14results about How to "Improve results" patented technology

This invention discloses a method, equipment, and medium for super high-rise construction monitoring based on digital twins, relating to the field of digital twin technology. The method includes: acquiring construction operation data from the super high-rise construction site and constructing a digital twin construction model; updating the boundary conditions of the digital twin construction model through a set of construction disturbance events to generate a disturbance-driven twin model; verifying the consistency between the virtual and real data of the model simulation state records in the construction state set and the disturbance-driven twin model to generate a twin credibility evaluation set; improving the local monitoring resolution of high-risk areas to generate twin resolution configuration results; performing local high-precision monitoring of the credible construction twin based on the twin resolution configuration results; and outputting super high-rise construction monitoring results. This invention, by improving the local monitoring resolution and generating twin resolution configuration results, avoids the waste of computational resources caused by global high-precision monitoring, thereby improving the efficiency of monitoring resource utilization and the response accuracy of high-risk areas.

This invention discloses a multi-channel electromagnetic induction detection method and system based on uniform magnetic field constraint. A uniform magnetic field is constructed within the detection area of ​​the structure under test. Electromagnetic induction response signals are acquired through multiple channels under the constraint of the uniform magnetic field, and the spatial coordinates of each acquisition channel are marked. The raw electromagnetic induction signals acquired by each channel are preprocessed, including noise reduction filtering, envelope extraction, and amplitude normalization. A deep learning model is then used to extract structural features from the preprocessed multi-channel electromagnetic response signals. Based on the spatial position information of each acquisition channel, magnetic field uniformity parameters, and response characteristics, a channel correlation weight matrix is ​​constructed to describe the spatial consistency and physical coupling relationships between channels. A multi-channel joint optimization model is constructed, and the equivalent electromagnetic parameter distribution inside the structure under test is reconstructed through iterative solution. This invention improves the reliability, repeatability, and engineering applicability of electromagnetic induction detection results.

The application provides an aluminum pad structure and a manufacturing method thereof. The manufacturing method of the aluminum pad structure comprises the following steps: sequentially forming a first aluminum layer, a protective layer and a passivation layer on a substrate; performing dry etching on the passivation layer by using a plasma containing fluoride ions to form a passivation layer opening, wherein the passivation layer opening is located above a preset region of the first aluminum layer and the bottom surface of the passivation layer opening stays on the surface of the protective layer; then forming a second aluminum layer on the protective layer and removing the part of the second aluminum layer which is higher than the passivation layer, thereby obtaining a sandwich-type aluminum pad structure composed of the first aluminum layer, the protective layer and the second aluminum layer. The manufacturing method of the aluminum pad structure can avoid the direct contact of the etching process with the aluminum pad, thereby eliminating the generation of aluminum fluoride compound residues and fluoride ion residues on the surface of the aluminum pad from the root. The aluminum pad structure is in a sandwich type, has less aluminum fluoride compound residues and fluoride ion residues, is beneficial to improve the bonding and yield test results, and reduces fluorine precipitation.

The application discloses a kind of distribution outside data delay calibration method and system, the method is first obtained historical layout training set and is based on line length threshold value identification distribution outside sample subset, then utilize inverse probability weighting method to calculate the calibration weight of each sample in training set, wherein distribution outside sample obtains higher weight, then using the weight to training set is weighted and re-trains machine learning model, obtains the delay prediction model after calibration, after calibration model deployment, directly used in interconnection delay prediction in engineering change order layout;The application is intelligently weighted and weighted training to internal sample of historical training set, without relying on any new tape data, effectively corrects the systematic underestimate of model to distribution outside long interconnection delay, so as to greatly improve the prediction accuracy, avoid the buffer insertion omission and timing violation caused by prediction deviation, enhance the efficiency and reliability of timing convergence.

This invention discloses a 3D drawing similarity retrieval method based on a spatial assembly structure vector tree, belonging to the field of 3D information retrieval technology. The method includes: constructing a spatial assembly structure vector tree based on a set of node spatial attributes and a set of assembly constraint attributes, according to the parent-child relationship of the original assembly hierarchy tree; performing normalization and standardization processing to generate a constraint-enhanced assembly vector tree; extracting hierarchical features from the constraint-enhanced assembly vector tree to generate hierarchical retrieval fingerprints, and matching these fingerprints with the hierarchical retrieval fingerprints of historical 3D drawings to establish hierarchical candidate mapping relationships and generate a hierarchical candidate retrieval spectrum; based on the hierarchical candidate retrieval spectrum, performing hierarchical flexible alignment to generate a flexible alignment mapping set, and calculating the comprehensive similarity between the 3D drawing to be retrieved and each historical 3D drawing. This invention achieves continuous organization of hierarchical correspondences and fine discrimination of similar features, improving the accuracy and usability of the retrieval results.

The application discloses an optimization method of a rolling wing blade connecting rod mechanism, and belongs to the field of rolling wing aircrafts.The blade swing angle is represented by structural parameters of the blade connecting rod mechanism, and the structural parameters of the blade connecting rod mechanism, including the lengths of the connecting rods, the coordinates of key hinge points and configuration bias, are defined as a variable vector; multiple target functions are constructed for multiple key working conditions such as hovering, forward flight and transition, the multiple target functions not only quantify the performance of the connecting rod mechanism itself, such as kinematic fitting error with a target motion law, dynamic stability index and force transmission efficiency index, but also cover aerodynamic efficiency index and aerodynamic acoustic index which are directly related to the performance of the whole machine; and the optimal structural parameters of the blade connecting rod mechanism are obtained by solving the multiple target functions under constraints, so that the global optimization of the structural parameters of the blade connecting rod mechanism under multiple working conditions, multiple targets and multiple constraints can be realized.

This invention provides an intelligent inspection method, system, equipment, and medium for railway freight inspection, belonging to the field of railway freight inspection technology. The method includes: acquiring images of the freight cars using a line-scan camera array on both sides and the top of the track; performing spatiotemporal synchronization and adaptive parameter adjustment based on an encoder and a precise clock protocol; performing geometric correction, flat-field correction, motion compensation, and stitching on the images to generate a two-dimensional unfolded image of the freight car; using a deep learning-based freight car segmentation model to segment and number freight car instances, and extracting images of individual freight cars; finally, using a damage detection model integrating severity assessment to identify damage, outputting a structured result including damage category, location, confidence level, and severity score. This invention achieves non-contact, full-coverage, and high-precision intelligent inspection of freight cars, effectively improving inspection efficiency and automation levels.

The application relates to a hip joint ultrasound standard surface screening and measuring method and device based on key point detection and time sequence consistency, and the method comprises the following steps: acquiring a hip joint ultrasound image sequence; detecting a plurality of anatomical key points in the ultrasound image, outputting a multi-channel response heat map, and obtaining anatomical key point coordinates; constructing a comprehensive consistency scoring function based on the anatomical key points and the time sequence change of adjacent frames of the hip joint ultrasound image, and calculating a consistency score; when the consistency score exceeds a preset threshold, the corresponding frame is determined as a candidate standard section frame; the development state of the candidate standard section frame is reviewed and distinguished to obtain a development state classification result; the alpha angle and the beta angle are calculated, the angle line and the key points are superimposed and displayed on an original drawing, a visual result is generated, and a structured report containing the visual result, the anatomical key point coordinates, the angle parameters and the development state classification result is output. Compared with the prior art, the application significantly improves the automation degree and the result interpretability while maintaining high-precision measurement.

The application discloses a kind of based on intravascular imaging optimization three-dimensional vascular model interframe interpolation method;Obtain the sequence image group collected by intravascular imaging technology;And each frame image in sequence image group is carried out denoising processing;Using segmentation algorithm extracts the lumen boundary in each frame image, obtains the two-dimensional profile sequence image group of vascular lumen with frame data;Interpolation times are calculated;According to interpolation times, difference image group is generated, and according to the frame data of each image in difference image group, it is inserted into two-dimensional profile sequence image group;According to the last obtained two-dimensional profile sequence image group, generate high-resolution three-dimensional vascular model.The application is obtained by the frame interpolation technology of image collected by intravascular imaging technology, and the frame distance of adjacent image is reduced, and the continuity and smoothness of three-dimensional vascular model are improved.

The application discloses a network protocol test method and system and a storage medium, and the method comprises the following steps: obtaining test messages of a system under test from a gateway; performing protocol identification on the test messages, extracting protocol information of a target protocol layer, and determining a protocol processing node according to the protocol information; when the protocol processing node exists, performing field attribute extraction on the protocol information, obtaining attribute data, and obtaining message verification data of a target object; performing data retrieval according to the protocol information, and determining a target processing message in combination with the attribute data; obtaining message processing data of the target object, and performing self-defined processing on the target processing message; taking a next protocol layer of the target protocol layer as the target protocol layer, then returning to the step of extracting protocol information of the target protocol layer, and determining the protocol processing node according to the protocol information until the protocol processing node does not exist. The application can simplify network protocol test environment deployment, and increase process control and result inspection control of network protocol test.

This application belongs to the interdisciplinary field of computer application technology and aerospace equipment technology, and specifically relates to an intelligent technical document compilation system and method based on evidence constraints. The system includes a data governance module, a compilation constraint graph construction module, an automated generation module, an intelligent review module, an intelligent retrieval module, a change impact analysis module, and an interface integration module. The system converts multi-source equipment technical data into source record objects, chapter unit objects, and evidence objects, constructs a chapter constraint graph, and generates chapter task packages containing template skeletons, mandatory entities, mandatory parameters, and evidence sets. Based on this, it outputs initial drafts of the document with evidence identifiers, and forms candidate release versions through rule review, graph consistency review, and semantic review. When the technical status changes, it identifies affected chapters and recompiles them accordingly. This invention improves the traceability, consistency, and timeliness of technical document compilation, review, retrieval, and updating.

This application discloses a digital management method and system for hospital nursing quality indicators, relating to the field of medical and nursing quality information technology. The method includes the following steps: setting assessment rules for evaluating nursing process quality indicators; acquiring patient nursing records and constructing a patient-centered event time series; based on the assessment rules, filtering nursing events related to the corresponding nursing process from the event time series; dynamically adjusting the strictness of the assessment rules based on the identity information of nursing staff and the clinical status information of patients; verifying the event time series according to the adjusted assessment rules and obtaining verification results; determining the compliance of the nursing process based on the verification results, and generating a compliance conclusion and audit report for the nursing process. This application can intelligently distinguish between genuine nursing quality defects and discrepancies in record appearances caused by differences in personnel and context, solving the problems of fragmented processes, isolated data, and delayed assessment in traditional nursing quality management.

The application discloses a commodity sorting method, an electronic device, a storage medium and a computer program product, relates to the technical field of information retrieval and recommendation, and comprises the following steps: receiving a search request, obtaining an associated commodity set matched with the search request from a preset commodity library; filtering a first target commodity from the associated commodity set and filling the first target commodity into a first commodity recommendation page, wherein the first target commodity is an associated commodity at a first gear in the associated commodity set; mixing and sorting a second target commodity in the associated commodity set, and filling the second target commodity into a second commodity recommendation page, wherein the second target commodity is an associated commodity at a second gear in the associated commodity set, the commodity correlation represented by the second gear is lower than that of the first gear, and the priority of the second commodity recommendation page is lower than that of the first commodity recommendation page. The application solves the technical problem of poor sorting effect.

The application discloses a kind of non-structure grid full automatic generation method, it is related to computational fluid dynamics pre-processing technical field.The application includes: the component segmentation is carried out to aircraft CAD model, obtains segmentation result and key geometric feature line;Geometric defect identification and repair are carried out to each subcomponent, generate component-level surface grid;Fusion geometric data, component semantic label and calculation working condition, utilize neural network to predict the grid area type and control parameter of boundary line, drive generation optimized surface grid;Based on optimized surface grid, generate boundary layer and three-dimensional body grid, assemble and output complete simulation model.Intelligent segmentation is realized by the combination of multi-modal AI and geometric rules, defect adaptive repair and grid strategy intelligent decision are realized by using graph neural network, and hybrid body grid containing pyramid transition unit is automatically generated, end-to-end full automatic generation from CAD model to simulation grid is realized, and the grid generation efficiency, quality and adaptability to flow field characteristics are significantly improved.