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Method for constructing aerospace manufacturing knowledge graph based on heterogeneous data joint extraction mode
ActiveCN119514662ASolve UtilizationGuaranteed richnessBiological modelsKnowledge representationKnowledge sourcesEngineering
The invention discloses a construction method of an aerospace manufacturing knowledge graph based on a heterogeneous data joint extraction mode. The construction method comprises the following steps: designing and constructing a knowledge model of the knowledge graph by using an automatic modeling tool based on a top-down theory; performing knowledge graph bottom layer storage in a manner of combining a table structure and a graph structure; knowledge extraction and knowledge mining are carried out from structured, semi-structured and unstructured data; carrying out data mode layer fusion and data layer fusion on data from different sources; knowledge discovery and knowledge graph completion are carried out based on rapid knowledge reasoning of a graph neural network; and carrying out intelligent question answering and visual decision support based on semantic search in combination with a specific application form of the knowledge graph and aerospace manufacturing field data and business scenes. According to the method, challenges of various knowledge sources and data formats on knowledge extraction can be handled, so that the aerospace manufacturing knowledge graph can be applied to the ground, and the method has mobility, scientificity and seriousness.
Owner:NANJING UNIV OF AERONAUTICS & ASTRONAUTICS +2
Cyclone separator optimization system and method based on machine learning
ActiveCN119578219Ashorten design timeReduce Design WorkloadGeometric CADDesign optimisation/simulationAnalogue computationAlgorithm
The invention relates to the technical field of separation devices, and discloses a cyclone separator optimization system and method based on machine learning, and the system comprises a user operation module, a numerical simulation module and a deep learning module. The method comprises the steps that when a user terminal inputs cyclone separator parameters in a cloud platform, a system calls a cyclone separator parameter database; if no corresponding cyclone separator parameter exists in the cyclone separator parameter database, performing analogue simulation calculation according to the cyclone separator parameter input by a user, and establishing a flow prediction model according to a simulation result; the flow prediction model performs prediction according to the simulation result; after the prediction is finished, performing comparison according to a prediction result; and finally obtaining optimized parameters required by the parameters of the cyclone separator, and transmitting the optimized parameters to a user terminal through the cloud platform. According to the method, the separation efficiency of cyclone separators with different designs is predicted, and manpower, material resources, time, cost and the like are saved in actual production.
Owner:KUNMING UNIV OF SCI & TECH
Ink color matching device of printer and use method thereof
InactiveCN119608006Aavoid mutual contaminationGuaranteed accuracyRotary stirring mixersTransportation and packagingComputer printingMechanical engineering
The invention relates to the technical field of ink color mixing devices, and discloses an ink color mixing device of a printer and a using method thereof.The ink color mixing device comprises a mixing assembly, a stirring assembly used for stirring ink is arranged in the mixing assembly, and a connecting assembly used for assembling and supporting is arranged above the mixing assembly; a plurality of raw material assemblies used for material preparation are assembled on the stirring assembly, the mixing assembly comprises a mixing pipe, and a plurality of liquid inlet pipes are fixed to the outer surface of the lower portion of the mixing pipe at equal intervals in a penetrating mode. And flushing wastewater is discharged, so that mutual pollution among the ink is avoided, the problem that the residual ink during ink blending of an existing ink color blending device affects subsequent ink color blending is solved, and the accuracy during ink color blending is fully guaranteed.
Owner:SHENZHEN LIZHUO TECH CO LTD
Deep counterfeit audio identification method based on hybrid enhancement and contrast loss function
InactiveCN119418715AGuaranteed richnessGuaranteed accuracyInternal combustion piston enginesSpeech analysisEnvironmental noiseFeature vector
The invention discloses a deep forged audio identification method based on hybrid enhancement and a contrast loss function. The method comprises the following steps: step 1, preprocessing an original audio training data set by using a sliding window technology and a hybrid enhancement technology; step 2, for the preprocessed original audio training data set, using a contrast loss function to constrain and forge feature vector spacing of real audio training data in a high-dimensional space; and step 3, using a sliding window to divide the audio to be detected into a plurality of audio clips to be detected with the total length of 64600, and if any audio clip to be detected is detected to be forged, determining that the audio to be detected is forged. According to the method, the analysis and identification capability of the algorithm on weak and local counterfeit traces is improved, the accuracy, stability and generalization of the deep counterfeit audio identification algorithm are ensured, the extraction and analysis capability of the algorithm on essential counterfeit traces is improved, and the interference of environmental noise is reduced.
Owner:BEIJING GUOXIN HONGSI TECH CO LTD
Distributed photovoltaic generating capacity prediction method and device and medium
PendingCN119561037Aimprove featuresImprove fusion effectGeneration forecast in ac networkSingle network parallel feeding arrangementsOriginal dataRemote sensing
The invention provides a distributed photovoltaic generating capacity prediction method, which comprises the following steps of: acquiring original data, and acquiring historical photovoltaic output data, meteorological data and node labels of distributed photovoltaic nodes in a region; preprocessing the collected historical photovoltaic output data and meteorological data; constructing a prediction model based on depth separable convolution and an inter-group cross attention mechanism, and training the prediction model based on the preprocessed historical photovoltaic output data and meteorological data; historical photovoltaic output data, meteorological data and node labels of all distributed photovoltaic nodes in the region are input into the prediction model, and the total distributed photovoltaic power generation capacity in the future time region is predicted. According to the method, the prediction model based on the depth separable convolution and the inter-group cross attention mechanism is constructed, the fusion strategy is dynamically adjusted according to the importance of different modals and time sequence characteristics, and the accuracy and robustness of prediction of the photovoltaic generating capacity in the region are further improved.
Owner:STATE GRID JIANGSU ELECTRIC POWER CO LTD NANJING POWER SUPPLY COMPANY +1
An Adaptive Voxelization Attribute Assignment and Dual-Model Collaborative Mineral Exploration Method and System Based on Multi-Source Data
This application discloses an adaptive voxelization attribute assignment and dual-model collaborative mineral exploration method and system based on multi-source data, relating to the fields of artificial intelligence and mineral exploration prediction. The method includes: dividing the target area into three-dimensional voxel grids using an adaptive grid function; assigning attribute values of multi-source mineralization-prospecting information to the three-dimensional voxel grids of the target area and known mining areas, and assigning attribute values of ore grade to the three-dimensional voxel grids of known mining areas; calculating contribution weights using a logistic regression model, and obtaining the first mineralization score of the target area's three-dimensional voxel grids through linear combination calculation and mapping; training a deep learning model using multi-source mineralization-prospecting information as input and ore grade as a label, and determining the second mineralization score of the target area's three-dimensional voxel grids; determining the comprehensive mineralization score of each three-dimensional voxel grid in the target area using a comprehensive scoring function, and delineating the mineral exploration target area based on the comprehensive mineralization score. This application improves the accuracy and interpretability of mineral exploration in the target area.
Owner:SICHUAN PROVINCIAL INST OF COMPREHENSIVE GEOLOGICAL SURVEY & RES
Video coding method and device and video player
PendingCN119484894Aeasy to loseEfficient and fast analysisSelective content distributionTransmissionVideo playerComputer graphics (images)
The invention discloses a video coding method, a video coding device and a video player. The method comprises the following steps: acquiring target video data and target multi-dimensional perception data of a target object, wherein the target multi-dimensional perception data is information which is associated with the target video data and has a plurality of dimensional features and attributes; aligning the time sequence of the target multi-dimensional perception data with the time sequence of the target video data one by one to obtain reference multi-dimensional perception data; the time sequence of the reference multi-dimensional perception data is consistent with that of the target video data; and performing combined coding on the target video data and the reference multi-dimensional perception data to obtain coded video data. According to the embodiment of the invention, the problems of easy data loss and non-visual data viewing are solved, and subsequent efficient and rapid data analysis is realized.
Owner:SHANGHAI THERMAL IMAGING TECH CO LTD
Aviation multi-field data adaptive extraction method and system based on large model
ActiveCN119474344AGuaranteed richnessGuaranteed accuracySemantic analysisText database indexingAviationData set
The invention provides an aviation multi-field data adaptive extraction method and system based on a large model, and relates to the technical field of data retrieval, and the method comprises the steps: obtaining an aviation field multi-field data set, and carrying out the preprocessing of the data set to obtain a preprocessed data set; constructing a plurality of inverted index tables based on the preprocessed data set; performing semantic feature extraction on each paragraph of each text in the preprocessed data set based on a trained BGE model to obtain a semantic feature vector library; performing semantic feature extraction on a text input by a user based on the trained BGE model to obtain an input feature vector; calculating based on the large model to obtain a cosine similarity set and a morpheme similarity set; carrying out normalization processing on the morpheme similarity set to obtain a normalized value set; and performing fusion sorting on the normalized value set and the cosine similarity set to obtain an extraction result. According to the method, the keyword extraction result and the semantic extraction result are fused and sorted at the same time, so that the extraction richness and the sorting accuracy are ensured.
Owner:CHINA AERO POLYTECH ESTAB
Clutch intelligent detection method based on multi-dimensional data acquisition
ActiveCN119557585Aimprove representationGuaranteed richnessMachine part testingBiological modelsData segmentData acquisition
The invention relates to the field of data processing, in particular to a clutch intelligent detection method based on multi-dimensional data acquisition, which comprises the following steps: acquiring clutch related data uploaded by a user; determining target spectral data according to the vehicle characterization coefficient; determining effective unit data according to the element characterization value, and determining a data screening mode of the target spectral data according to the number of the effective unit data; determining a unit data state according to the data paragraph reference value and the feature threshold; according to the unit data state of the effective unit data, determining that a data processing mode of the effective unit data is segmentation according to a concentration value or segmentation according to a torque threshold value; and determining whether the segmented paragraph is qualified or not according to the comprehensive deviation value under a preset condition. According to the invention, targeted training can be carried out on oil spectral data in different wear stages, and the accuracy of clutch aging life estimation detection is improved.
Owner:QINGDAO CENTURY TAIYANG PRECISION CO LTD
GNSS-R and GNSS-S radar combined sea surface high wind speed inversion method and satellite-borne receiving system
PendingCN121763291AImprove monitoring accuracygood precisionRadio wave reradiation/reflectionFeature vectorNerve network
The invention relates to a GNSS-R and GNSS-S radar combined sea surface high wind speed inversion method and a satellite-borne receiving system, and the method comprises the following steps: S1, obtaining a reflection signal and a scattering signal in a time space under a high wind speed condition, and carrying out the full-link sampling of the reflection signal and the scattering signal; s2, performing delay Doppler mapping processing on the reflected signal to generate a sea surface delay Doppler map; performing double-station SAR imaging processing on the scattered signals to generate Q GNSS-S radar images with different double-station angles; s3, extracting statistical feature vectors of the sea surface delay Doppler map and the Q GNSS-S radar images with different bistatic angles, and forming a joint feature X; and S4, inputting the joint feature X into a pre-trained deep neural network, and outputting a sea surface wind speed result. According to the method, the characteristics of GNSS reflection signals and scattering signals can be fully utilized, and the precision of sea surface high-wind-speed inversion is effectively improved.
Owner:BEIJING SATELLITE INFORMATION ENG RES INST
Converged communication video stream processing method and device based on edge calculation
PendingCN119383372AImprove Analytical Processing Efficiencyimprove accuracySelective content distributionEdge computingTerminal equipment
The invention provides a converged communication video stream processing method and device based on edge calculation, and the method comprises the steps: carrying out the scene switching detection of each frame of image in a video stream, and if the scene switching is detected, extracting the image, and determining the image as a candidate image. If scene switching is not detected at a preset time interval, importance evaluation is carried out on the image, and if an evaluation score is greater than a first preset threshold value and the number of image frames extracted in a time period corresponding to the preset time interval does not reach a second preset threshold value, the image is extracted and determined as a candidate image. After scene switching detection of each frame of image is completed, the optimal frame of image is selected from the candidate images and sent to the server to determine feedback information, so that the efficiency and accuracy of video stream processing can be improved. And the processing process is completed through the converged communication platform, and the terminal equipment only needs to upload the video stream to the converged communication platform, so that the efficiency and the quality of video stream processing can be improved while the intelligent cost is maintained.
Owner:ZKTECO CO LTD
A method, system, and medium for predicting and controlling the normalization microstructure of oriented electrical steel based on multilayer perceptual deep learning networks and cellular automata.
ActiveCN122091047Areduce dependencelower the thresholdBiological modelsComputational materials scienceData setEngineering
This invention discloses a method, system, and medium for predicting and controlling the normalized microstructure of oriented electrical steel based on a multilayer perceptron deep learning network and cellular automata. It takes two-dimensional normalized process parameters as input and ODF slice images as output. A cellular automata model driven by physical mechanisms generates virtual labeled data of "(t,T)-ODF" in batches within a preset process design space, constructing a dataset. Then, a deep learning surrogate model is used to achieve an end-to-end nonlinear mapping from the two-dimensional normalized process parameters to the ODF slice images, thereby achieving rapid prediction and visualization of the normalized microstructure without repeatedly calling the cellular automata model. This invention solves the key challenge of balancing prediction speed, structural accuracy, and inversion design capabilities within an extremely short process window.
Owner:BAOSHAN IRON & STEEL CO LTD +1
Irregular material pile point cloud data enhancement method and device based on diffusion model
ActiveCN119599922AReduce computing scaleHigh precisionImage enhancementImage analysisSoil sciencePoint cloud
The invention relates to a point cloud data enhancement technology, and discloses an irregular material pile point cloud data enhancement method based on a diffusion model, and the method comprises the steps: collecting the original point cloud data of a material pile, and constructing a point cloud diffusion model; adding noise to the original point cloud data of the material pile, and training the point cloud diffusion model to obtain a target point cloud diffusion model; extracting multi-level geometric features of the original point cloud data of the material pile by using a pre-trained multi-scale neural network of the target point cloud diffusion model, and performing point cloud data generation by using the multi-level geometric features to obtain generated point cloud data; and carrying out data integration on the generated point cloud data and the original point cloud data of the material pile to obtain enhanced point cloud data of the material pile. The invention further provides an irregular material pile point cloud data enhancement device based on the diffusion model, electronic equipment and a storage medium. According to the invention, the data enhancement effect of the material pile data in the mining area environment on scale and diversity can be improved.
Owner:CHONGQING UNIV
A low-resistance oil layer intelligent prediction method and device based on hierarchical ensemble learning
This invention provides an intelligent prediction method for low-resistivity oil reservoirs based on hierarchical ensemble learning. This method uses small-layer data as a benchmark, integrates heterogeneous data from multiple sources such as well logging, well logging, and production data, and constructs a labeled dataset after standardized preprocessing. Multi-dimensional features are automatically extracted using the Tsfresh framework, and key feature subsets are selected using random forest. Subsequently, generative adversarial networks that integrate noise filtering, adaptive clustering, and residual connections are used to optimize sample distribution, addressing data imbalance and insufficient sample problems. A model cluster containing traditional machine learning models and convolutional hybrid neural networks is constructed, adapting to static and temporal feature learning respectively. A hierarchical stacking ensemble strategy is adopted, using the unbiased prediction results of five types of base learners as meta-features, and integrating the advantages of each model through meta-learners. Furthermore, this invention also provides an intelligent prediction device for low-resistivity oil reservoirs based on hierarchical ensemble learning. The technical solution provided by this invention can improve the prediction accuracy and generalization ability of low-resistivity oil reservoirs under complex geological conditions, thereby increasing the recovery rate.
Owner:CHINA UNIV OF PETROLEUM (EAST CHINA)
Deep learning defect detection method and system for MLCC
ActiveCN119444692ASimple structureImprove detection accuracyImage enhancementImage analysisPattern recognitionData set
The invention relates to the field of computer vision image processing, in particular to an MLCC-oriented deep learning defect detection method and system, and the key points of the technical scheme are that the method comprises the following steps: S1, constructing an image defect detection system which is used for collecting and screening images and generating a defect data set; s2, constructing an ADS-YOLO model, inputting the defect data set into the ADS-YOLO model for training, and evaluating and storing an optimal weight; and S3, performing target detection on the test sample by using the ADS-YOLO model in which the optimal weight is stored, and outputting a detection result. By designing the deep learning defect detection network ADS-YOLO oriented to the MLCC, the method has the advantages that the detection precision and the detection speed of a target detection algorithm are improved, and the network structure is simplified.
Owner:GUANGDONG UNIV OF TECH
Real-time sensitive network testing method for train network control and supervision system
The present application provides a method for testing a real-time sensitive network of a train network control and supervision system, the method comprising: using the time-sensitive network TSN switches of each network, the train control unit VCU implementing the TSN protocol, and the remote input and output module RIOM implementing the TSN protocol as the devices under test; configuring each subsystem of the train as simulation software; simulating the passenger information system through an image acquisition device; connecting and configuring the simulation software, the passenger information system and the device under test according to the actual configuration to form a network to be tested; and testing the network to be tested. Through the method provided by the present application, TSN is tested by testing the test environment of the actual configuration, the test scenarios are richer, and the measured data are more representative.
Owner:TRAFFIC CONTROL TECH CO LTD +2
A three-dimensional scene generation method based on entity spatial relationship reasoning
The present application belongs to the field of computer three-dimensional scene generation, and more specifically, relates to a three-dimensional scene generation method based on entity space relationship reasoning. This method combines the reasoning ability of a large language model with the learning ability of a specific task to reason and summarize the entity and space position relationship in the text description. In this way, the scene described in the text can be converted into a specific three-dimensional scene and rendered and displayed in a three-dimensional engine. This method can be widely used in virtual reality, game development, film and television production and other fields, and has important value for improving work efficiency and innovation ability.
Owner:NANKAI UNIV
Recording type display equipment for presenting life of small animals
ActiveCN222653578Uavoid singlelow costAnimal housingOther apparatusSmall animalStructural engineering
Owner:HANGZHOU KUDA CULTURE DEV CO LTD
Method, device, electronic device, and storage medium for generating transition video
ActiveCN114241378Befficient extractionReduce labor costsCharacter and pattern recognitionComplex mathematical operationsPattern recognitionComputer graphics (images)
The present invention provides a method, device, electronic device, and storage medium for generating a transition video. The method comprises: receiving an image pair, the image pair comprising a first image and a second image; extracting n key feature points from the first image and the second image respectively to form a first point set and a second point set; forming a first triangulation region set of the first image according to the first point set; forming a second triangulation region set of the second image according to the second point set; determining a matching relationship between the first triangulation region set and the second triangulation region set; calculating a first affine matrix and a second affine matrix respectively; generating an intermediate triangulation region set according to the first triangulation region set and the second triangulation region set based on the first affine matrix and the second affine matrix; generating an intermediate triangulation region set; generating an intermediate frame; and generating a transition video based on the first image, the intermediate frame, and the second image. The present invention realizes the generation of a transition video.
Owner:CTRIP TRAVEL INFORMATION TECH (SHANGHAI) CO LTD
Multi-agent task cooperative processing system and processing method for voice interaction
ActiveCN120932652BImprove robustnessImprove efficiencySpeech recognitionNerve networkResponse generation
The application discloses a multi-agent task cooperative processing system and method for voice interaction. The system comprises: a voice input module for receiving and preprocessing original audio signals from a user; a voice processing module for generating a structured task representation based on the audio signals using a deep neural network model; a task coordination module for assigning tasks to agents in a task processing module based on the structured task representation; the task processing module contains multiple agents, all connected to the task coordination module, each configured to process tasks in a specific field; a response generation module for integrating the processing results from the agents into a coherent response and converting it into a voice signal for output. The application integrates voice understanding, task scheduling and cooperative execution to provide a robust, efficient and intelligent voice-driven solution that can complete complex voice interaction tasks.
Owner:NANJING TIANSU AUTOMATION CONTROL SYST CO LTD
Gesture recognition method and device
PendingCN119512373Aimprove accuracyImprove robustnessInput/output for user-computer interactionCharacter and pattern recognitionFeature extractionMedicine
The invention discloses a gesture recognition method and device, and relates to the technical field of computer vision and human-computer interaction. A specific embodiment of the method comprises the following steps: acquiring multi-modal visual data of a to-be-recognized gesture, and performing feature extraction on the multi-modal visual data to obtain visual features; constructing cue words of the gestures based on the cue word template, and performing feature extraction on the cue words of the gestures to obtain text features; and calculating the similarity between the multi-modal visual data and the cue word of each gesture according to the visual features and the text features, and determining a gesture recognition result according to the similarity. According to the embodiment, the accuracy, robustness and expandability of gesture recognition are improved.
Owner:BEIJING WODONG TIANJUN INFORMATION TECH CO LTD