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34results about How to "Avoid precision loss" patented technology
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A low-depth sequencing population genotype filling calculation memory optimization method
ActiveCN113742070Bpadding implementationavoid precision loss
The application discloses a low-depth sequencing population genotype filling calculation memory optimization method, which comprises the following steps: carrying out block division on a single nucleotide polymorphism site (SNP), and setting a checkpoint value according to the block division; and carrying out calculation on a forward auxiliary variable and a backward auxiliary variable according to the set checkpoint value, and calculating a haplotype observation conditional probability according to the block division. The application has the advantages of simple principle, effective reduction of calculation memory consumption, improvement of genotype filling efficiency and the like.
Owner:GENETALKS BIO TECH (CHANGSHA) CO LTD
A large language model quantization method based on channel arrangement and activation adaptive smoothing
PendingCN122114018Astable captureReduce accuracy fluctuationsBiological modelsLinguistic modelAlgorithm
A large language model quantization method based on channel arrangement and activation adaptive smoothing belongs to the technical field of large language model compression and efficient inference. In order to solve the problem that the existing post-training quantization method is difficult to simultaneously consider the difference of different channel activation outliers, the group mode quantization has large dynamic range in the group, and the low bit weight and high bit activation alignment efficiency is low, which leads to the problem of precision decline and inference efficiency limitation, the scheme calibrates the maximum activation amplitude of the input channel by statistical data, divides the significant and non significant activation outlier channels according to the percentile threshold, and respectively uses the logarithmic domain and power function domain smoothing strategy to generate channel smoothing scaling factor, and fuses it into the model parameter to extract the weight multidimensional feature to construct the channel quantization sensitivity index and execute the input channel rearrangement, and further generate the joint quantization scaling factor to realize the integer domain alignment inference. It is suitable for low bit compression deployment and efficient inference scene of large language model in resource limited environment.
Owner:GUIZHOU UNIV
Human activity recognition method based on multi-scale group information distillation and refinement network
The application discloses a human activity recognition method based on multi-scale group information distillation and refinement network, relates to the technical field of artificial intelligence and edge computing, and comprises the following steps: constructing an input tensor based on measurement data of an inertial measurement unit; inputting a trained activity type recognition model; and calculating, which comprises the following steps: processing the input tensor through a multi-scale feature extraction module to obtain multi-scale fusion features; processing the input features through a group information distillation module in a group information distillation stage to obtain residual enhancement features; processing the residual enhancement features through a feature aggregation module to obtain aggregated features; processing the aggregated features through a feature integration module to obtain a global feature vector; and processing the global feature vector through a classification module to obtain an activity type classification result. The method provided by the application can significantly improve the recognition accuracy under the premise that the parameter quantity and the calculation cost are controlled, can be directly deployed on a smart phone, and can provide an efficient and reliable solution for real-time medical monitoring and motion analysis.
Owner:WUHAN UNIV
A debugging fixture and machine tool mechanism for an automatic tool changer
ActiveCN224587572Ureduce dependenceEliminate the steps of "disassembly - installation of tooling - reassembly"
This utility model relates to the field of CNC machine tool technology, and provides a debugging fixture and machine tool mechanism for an automatic tool changer. The debugging fixture includes a tool position debugging fixture, a debugging ring fixture, and a central axis fixture. The tool position debugging fixture is installed on the tool holder mounting position of the tool magazine to be debugged, and has a central hole coaxial with the central hole of the tool holder. The debugging ring fixture has the same shape and size as the tool holder and is installed on the jaws of the robotic arm used for tool changing on the machine tool, with the debugging ring fixture coaxial with the clamping jaws of the robotic arm. The central axis fixture is installed on the central hole, with both ends extending along a first direction, and one end of the central axis fixture being coaxially and movably inserted into the debugging ring fixture. This application simplifies the debugging operation process and improves debugging accuracy and efficiency.
Owner:LANGFANG JINGDIAO MACHINE TOOL MFG
AC real-time parameter rapid correction method
PendingCN121978602Aavoid occupyingFast operationElectrical measurementsMicrocontrollerAC - Alternating current
The invention discloses an alternating current real-time parameter rapid correction method, which relates to the technical field of alternating current parameter correction, and comprises the following steps of: 1, establishing an alternating current real-time parameter coordinate system; 2, selecting a plurality of standard calibration points in the coordinate system; 3, selecting a plurality of to-be-corrected points in the coordinate system, and calculating a broken line slope K corresponding to each to-be-corrected point; and 4, directly updating the to-be-corrected point through the broken line slope K to obtain corrected data. According to the invention, a curing operation can be carried out before real-time measurement is started, and a large amount of resources occupied by division operation of a single-chip microcomputer are avoided, so that the operation speed is improved, and the accuracy of a measurement result is ensured. The method is suitable for measurement of real-time electrical parameters of alternating current and other basic measurement fields, and has a wide application prospect.
Owner:BENGBU POWER SUPPLY COMPANY STATE GRID ANHUI ELECTRIC POWER +1
A gear welding device and welding method for a press
ActiveCN121423773BRealize fully automatic transferEliminate offsetProgramme-controlled manipulatorWelding/cutting auxillary devicesMachine visionGear wheel
This invention relates to a gear welding device and method for a press, belonging to the field of press manufacturing. The technical solution is as follows: A gear welding device for a press includes a work platform with a ground rail. A transfer trolley is movably mounted on the ground rail to carry the gear to be welded. Positioners are mounted on both sides of the ground rail, each equipped with a rotatable gripper. A gantry frame is also mounted on the work platform, spanning the ground rail. A welding robot is movably mounted on the gantry frame, its movement direction being horizontal and perpendicular to the ground rail. The welding robot is equipped with a machine vision module. This solution, through the positioner grippers, can precisely achieve 180° rotation of the gear, providing a stable posture adjustment basis for double-sided welding. The welding robot, combined with the machine vision module, enables automated and high-precision acquisition of weld information, providing data support for intelligent welding path planning.
Owner:JIER MACHINE TOOL GROUP
Hardware-aware model quantization method, system, medium, product and terminal
The application provides a hardware perception-based model quantization method, system, medium, product and terminal, a hybrid execution mechanism is constructed between a high-level software framework and a bottom layer hardware behavior model, only core calculation operators in a quantization calculation graph of an initial quantization model which need to be executed on target hardware are handed over to a hardware behavior model for bit precision simulation, real calculation characteristics of the target hardware are simulated in a quantization process, and other auxiliary, non-computation-intensive operators are reserved in the high-level software framework for execution, so that the simulation verification efficiency is improved, the simulation precision and the execution efficiency are considered, and the goal that the quantized model runs more efficiently and has lower precision loss on the target hardware is achieved.
Owner:SHANGHAI GUANGYU XINCHEN TECHNOLOGY CO LTD
Fast extraction of scattering center parameters of SAR target based on depth unfolding
ActiveCN120275968Breduce inference timeImprove reasoning efficiencyNeural learning methodsComplex mathematical operationsComputational physicsTesting Methods
The application provides a SAR target scattering center parameter fast extraction method, and mainly solves the problems of slow speed and low precision of a traditional SAR target scattering center parameter extraction method; firstly, the application models a scattering center parameter solving problem based on a sparse representation theory; then, a SAR target scattering center parameter extraction problem model based on a semi-quadratic splitting method is constructed, a deep unfolding network is constructed according to an optimization process based on the semi-quadratic splitting method, and the SAR target scattering center parameter is extracted by using the deep unfolding network; compared with a traditional method, the method constructs a deep unfolding network based on the semi-quadratic splitting method and a scattering center model, and realizes efficient and interpretable SAR target scattering center parameter extraction.
Owner:NORTHWESTERN POLYTECHNICAL UNIV
Spectral confocal probe pose calibration method and device based on plane constraint
ActiveCN121761761BImprove computing efficiencyImprove calculation accuracyUsing optical meansOptical axisStandard plane
The application provides a plane constraint-based spectral confocal probe pose calibration method and device, and belongs to the field of precision measurement and instrument technology.The method comprises the following steps: firstly, at least three non-coplanar plane standard parts are measured by using a contact probe, and through coordinate conversion and fitting, equations of the standard planes in a machine coordinate system are accurately established; then, the same plane parts are measured by using a spectral confocal probe, and the obtained measurement point coordinates and distance values are combined with the known plane equations to construct a linear over-determined equation set about the probe pose parameters (including an optical axis direction vector and a space position vector); finally, the equation set is solved by using a least square method to obtain accurate pose parameters.The application converts a nonlinear problem into a linear solution, avoids iterative calculation, and significantly improves the calibration efficiency and accuracy.Meanwhile, the use of plane constraint allows the measurement points to be uniformly distributed, effectively reduces the equation set ill-conditioning, and enhances the robustness of the calibration process.
Owner:HUAZHONG UNIV OF SCI & TECH
Bionic manipulator
The utility model discloses a kind of bionic manipulator, it is related to manipulator technical field, bionic manipulator includes palm, finger and first driving device, second driving device and third driving device, finger is articulated by end knuckle, middle knuckle, tip knuckle in turn, end knuckle is movably connected with palm.The first driving device drives end knuckle flexion and extension relative to palm;Second driving device drives middle knuckle flexion and extension relative to end knuckle, and drives tip knuckle movement in parallel;Third driving device drives end knuckle (together with entire finger) relative to palm lateral swing.Three active degrees of freedom (flexion and extension, flexion and extension, side swing) transmission path is independent, realizes complete mechanical decoupling.
Owner:SUZHOU DONGSHAN PRECISION MANUFACTURING CO LTD +1
Prefabricated concrete sheet member quality detection method based on lightweight Transform and GPR data
PendingCN121837279AReduce computational complexitysmall amount of calculationImage enhancementImage analysisFeature DimensionAlgorithm
The invention relates to the technical field of nondestructive testing and deep learning, in particular to a prefabricated concrete sheet member quality detection method based on lightweight Transform and GPR data. Comprising the steps of GPR image data input and preprocessing, lightweight convolutional neural network feature extraction, feature dimension reduction, position coding and serialization, Transform encoder global feature modeling, Transform decoder target query and detection, target classification and bounding box regression, post-processing and result output and the like. According to the method, the lightweight backbone network is adopted, the parameter quantity and the calculation quantity are reduced through the deep separable convolution, the inverse residual structure and the SE attention mechanism, and meanwhile, the detection precision of small targets and dense targets is improved; the problems that in the prior art, detection precision and calculation efficiency are difficult to consider at the same time, and a lightweight model is insufficient in small target and dense target detection capacity are solved.
Owner:CHINA RAILWAY JINAN GRP CO LTD +1
Cutting device for LED light bar processing
The utility model relates to LED lamp strip processing technical field, and disclose a cutting device for LED lamp strip processing, including processing platform, motor, round knife cutting device and shunt anti -adhesion device, the processing platform top side wall is equipped with motor, motor and processing platform side wall pass through the fixed connection of adaptation bolt, and motor output shaft end is provided with round knife cutting device, round knife cutting device one side axle end is welded with motor output shaft end, and round knife cutting device is placed in the processing platform top, and processing platform side wall is provided with shunt anti -adhesion device, the opposite side wall of shunt anti -adhesion device passes through the fixed connection of adaptation screw and processing platform side wall, and shunt anti -adhesion device and round knife cutting device axial identity, this cutting device for LED lamp strip processing simple structure can freely adjust the cutting width size, and cooperate shunt anti -adhesion device to guarantee that the LED lamp strip after cutting will not appear the situation of bonding, and the processing quality is improved greatly.
Owner:SHENZHEN SEPITEK TECH CO LTD
White light interference detection device for on-machine detection
ActiveCN224216051UReal-time reflection of real three-dimensional topographyImprove production inspection efficiencyUsing optical meansNumerical controlWhite light interferometry
The utility model provides a white light interference detection device for on-machine detection, comprising an adjusting mechanism which comprises a transverse adjusting table sliding left and right, a longitudinal adjusting table sliding up and down, and a two-dimensional radian adjusting table used for adjusting the horizontal inclination and angle, the transverse adjusting table is fixedly installed on the front side of the longitudinal adjusting table, and the longitudinal adjusting table is fixedly connected with the two-dimensional radian adjusting table through a connecting plate. The optical detection device is fixedly installed above the two-dimensional radian adjusting table, one side of the tool rest connecting piece is fixedly connected with the front side of the transverse adjusting table, and the other side of the tool rest connecting piece is fixedly connected with a tool rest of the numerical control machine tool. According to the utility model, the detection device is directly arranged in a processing environment, and the position of the detection device is adjusted through the adjusting mechanism, so that on-machine detection in production is realized, the processing fixing position of a product is not influenced by detection, parts do not need to be disassembled, and the production detection efficiency is improved.
Owner:XIAN ENKE MICRO-NANO PHOTOELECTRIC TECH CO LTD
Vision-based wind blade damage defect detection method and system
ActiveCN121686077BRapid positioningRealize dynamic adjustmentImage analysisCharacter and pattern recognitionPattern recognitionImage resolution
The application provides a visual-based wind blade damage defect detection method and system, and relates to the field of image recognition.The method comprises the following steps: constructing a damage correlation knowledge graph based on the working environment characteristics and damage defects of a plurality of sample wind blades; constructing and training an improved YOLOv11 detection network, wherein the improved YOLOv11 detection network comprises an adaptive input unit, and the adaptive input unit is used for adjusting the resolution of an image based on the image features of the image and the damage correlation knowledge graph; constructing damage detection paths corresponding to various working environment types based on the damage correlation knowledge graph and the improved YOLOv11 detection network; determining a damage detection path based on the working environment characteristics of a wind blade to be detected and the damage detection paths corresponding to various working environment types; and performing damage defect detection on the wind blade to be detected based on the damage detection path and the improved YOLOv11 detection network, thereby achieving the advantage of automatic detection of wind blade damage.
Owner:VOCATIONAL & TECH COLLEGE OF INNER MONGOLIA AGRI UNIV
A method for online identification of dynamic loads based on interference observers
ActiveCN117786382BSolve the bottleneck problem of being unable to go onlineAccurate real-time identificationSimulationState space equation
This invention provides an online dynamic load identification method based on a disturbance observer. First, a structural state-space equation is established based on the mass matrix, damping matrix, and stiffness matrix of the linearly loaded structure. Then, the state-space equation of the loaded structure is compared and combined with the model equations in the control domain to design and determine the form and parameters of the disturbance observer characterized by the state-space equation parameters of the system model. This observer is then applied to the real-time online identification of external dynamic loads on the structure. By observing the difference between the actual output response and the estimated output response of the system in real time, the observer gain k is gradually adjusted until the estimated value approximates the actual input dynamic load. This method eliminates the need for complex design and extensive calculations, enabling accurate real-time identification of random dynamic loads on single-point / multi-point linearly loaded structures. It solves the problems of large solution errors and slow computation caused by matrix inversion operations in existing dynamic load identification technologies.
Owner:NORTHWESTERN POLYTECHNICAL UNIV
Foundation bolt positioning device and positioning method based on X / Y-direction adjustable positioning piece
PendingCN121992951AFlexible and independent adjustmentPrecise independent adjustmentBuilding material handlingControl theoryAnchor bolt
Owner:五矿二十三冶建设集团有限公司
A novel random phase difference real-time mapping system
This invention discloses a novel real-time random phase difference mapping system, comprising: a real-time random phase difference measurement unit for capturing the random phase difference between an external trigger signal and a system clock signal, and outputting a start node signal START and an end node signal STOP; and a time amplitude mapping unit, including a capacitor initial voltage circuit, a capacitor charging circuit, and a voltage holding sub-circuit. The START signal initiates capacitor charging, and the STOP signal locks the capacitor terminal voltage, linearly mapping the phase difference to voltage amplitude. The voltage holding sub-circuit operates in analog mode when the holding time does not exceed a threshold; after exceeding the threshold, it switches to digital drive mode, with the digital-to-analog converter output replacing the capacitor voltage, fundamentally eliminating voltage drops caused by analog leakage and achieving long-term drift-free, high-precision holding. The measurement range is extended by cascading multiple internal clock triggers, effectively eliminating the metastable measurement blind zone of boundary phase differences; and the range is flexibly configured through an adjustable reference voltage source and an adjustable constant current source.
Owner:UNIV OF ELECTRONICS SCI & TECH OF CHINA
Multimode fiber dynamic disturbance imaging reconstruction method based on parallel neural network
PendingCN121861134Aavoid precision lossquality improvement2D-image generationBiological modelsReconstruction methodImaging data
The invention discloses a multimode fiber dynamic disturbance imaging reconstruction method based on a parallel neural network, and the method comprises the following steps: employing an LED as an illumination light source, and constructing a single-excitation wide-view-field multimode fiber (MMF) imaging system; under the condition that the disturbance range is 0-200 mm, image data of the output end of the multimode optical fiber are collected. By designing a parallel neural network structure, the network can perform efficient feature extraction and accurate image reconstruction on an optical fiber transmission image under dynamic disturbance, and particularly realizes high-fidelity image restoration under a small sample condition. The parallel neural network comprises a plurality of parallel sub-networks, each sub-network specially learns image mapping features under different disturbance conditions, and finally feature fusion is performed at an output end to obtain a stable image reconstruction result. According to the invention, the method has the remarkable advantages of high reconstruction precision, strong anti-disturbance capability and high training efficiency, and provides a novel and effective implementation way for high-fidelity imaging of the multimode optical fiber in a dynamic environment.
Owner:SHANGHAI INST OF OPTICAL INSTR +1
一种保持物理一致性的神经网络分层差异化量化方法及装置
PendingCN122414277ARealize refined modelingavoid precision loss
Owner:HANGZHOU INTERNATIONAL INNOVATION INSTITUTE OF BEIHANG UNIVERSITY
Task-oriented energy efficiency optimization method and device for dynamic position deployment of unmanned aerial vehicle
PendingCN122363246AResolve task contention issuesImprove global utilizationQuality of serviceVehicle dynamics
The application provides a task energy efficiency optimization-oriented unmanned aerial vehicle dynamic position deployment control method and device, and relates to the technical field of unmanned aerial vehicle communication control.The application constructs an unmanned aerial vehicle mobile edge computing system model, collects a current environment state at each discrete time step to generate a local observation vector, and generates a deterministic action vector; then, a distributed matching game with a ground mobile device is performed to complete task association; then, position updating is performed, a multi-target reward function is calculated, and centralized network model training is performed to iteratively update a Critic evaluation network and an Actor strategy network; when the model training reaches a preset requirement, the training is terminated, and a task energy efficiency optimal unmanned aerial vehicle dynamic position deployment control strategy is obtained. The application can realize deep coupling optimization of physical trajectories and offloading decisions, effectively solve user association conflicts and uneven computing load problems in a dynamic scene, and significantly improve system comprehensive energy efficiency while guaranteeing service quality.
Owner:PUTIAN UNIV
Motor imagery classification method and system based on weight quantization sharing SNN
PendingCN121980345Aimprove performanceLow inference costBiological modelsData setSpiking neural network
The invention discloses a motor imagery classification method and system based on a weight quantization sharing SNN, and the method comprises the steps: firstly carrying out the preprocessing of an original electroencephalogram data set, and selecting a neural network architecture; secondly, a spiking neural network SNN is constructed based on a neural network architecture, and spiking neurons adopt SRIF to reduce errors; and constructing an ANN based on a neural network architecture, training the ANN by using the preprocessed electroencephalogram data set, and obtaining pre-training weight and activation value distribution. And then carrying out quantization processing on the pre-training weight and the activation value through quantization perception training, and constructing a quantization ANN. And finally, based on the SNN and the quantized ANN, carrying out joint training by sharing weights, and outputting a classification result through the SNN after joint training to realize motor imagery classification. The SNN obtained through conversion can have the advantages of being high in performance and low in reasoning cost, and motor imagery classification tasks can be accurately and rapidly achieved.
Owner:HANGZHOU DIANZI UNIV
A method for temperature control of a deep frying production line
PendingCN122593502Aavoid precision lossImprove temperature control quality
The present application relates to the technical field of production line control, and specifically discloses a kind of frying production line temperature control method, method includes: set target frying temperature, and the working data of frying production line is collected;According to the running interval of supply air temperature and return air temperature belongs to activation corresponding fuzzy control sub-rule base, and feedback compensation is calculated according to oil temperature control deviation;According to material entering state, conveying speed, batch mark estimation material load index;Combining target frying temperature, feedback compensation obtains original heating ratio;After original heating ratio executes heating ratio upper and lower limit constraint, temperature rise slope limit, output to heater, realize frying production line temperature control.The present application uses the inverse model of offline training to calculate feedforward heating ratio, which is superimposed with fuzzy feedback compensation, achieving double compensation of feedforward prediction and feedback correction for material cold load impact, significantly shortening oil temperature recovery time and improving product consistency.
Owner:天津脆升升食品有限公司
A method for coordinated scheduling of power distribution network sources and loads considering multiple types of flexible resources
ActiveCN121507853BPromote digestionEasy to adjustData processing applicationsBiological modelsFixed energyCoscheduling
The application relates to the technical field of new energy optimization scheduling, and discloses a power distribution network source-load collaborative scheduling method considering multiple types of flexible resources. The method considers the diversity and space-time difference of flexible resources, introduces multiple types of flexible resources, enriches the resource types of source-load bilateral collaboration, and expands the feasibility and effectiveness of source-load collaboration in different scenarios. In addition to considering fixed energy storage resources, the method also introduces a demand response mechanism, integrates user-side flexible resources into the scheduling process, and at the same time, considers the space flexibility and time sequence adjustment capacity of mobile energy storage equipment, and builds a source-load collaborative scheduling model considering multiple types of flexible resources. Furthermore, aiming at the space-time characteristics that the mobile energy storage equipment needs to simultaneously decide the destination and charging and discharging power, the method introduces a PDQN algorithm based on a mixed action space. The application can effectively promote source-load collaboration, reduce network loss, promote new energy consumption, and improve the economic efficiency of power distribution network operation.
Owner:SICHUAN UNIV
A fault classification-based current sensor fault-tolerant control method and system
PendingCN122218586AAvoid excessive redundancyAvoid under-redundancyElectrical measurementsComplex mathematical operations
The application discloses a kind of current sensor fault-tolerant control method and system based on fault grading, it is related to power equipment fault diagnosis technical field.The method includes the following steps: obtaining the current measurement value of current sensor and the positive and negative electrode measurement value of current sensor supply voltage, the fault number of current sensor is judged;Specifically, if the following one condition is met, it is considered that the phase sensor fails: the certain phase current measurement value continuously exceeds the maximum measurement range;The certain phase current measurement value continuously keeps a certain fixed value unchanged in operation;The supply voltage of certain phase current sensor fails, not in the correct power supply range;According to the fault number of current sensor, the corresponding fault grade is matched;According to fault grade, the corresponding fault-tolerant control strategy is executed.The application solves the current fault processing problem under the multi-sensor fault scene by dynamically switching the estimation strategy, and improves the system reliability.
Owner:CHERY INTELLIGENT VEHICLE TECH (HEFEI) CO LTD
Punching and shearing machine workpiece positioning structure capable of being adjusted at multiple angles
ActiveCN224073118UMeet processing needs in different directionsPrecise adjustment of horizontal spacingRotational axisFree rotation
The utility model discloses a multi-angle adjustable punching and shearing machine workpiece positioning structure, and belongs to the technical field of punching and shearing machine devices. The positioning device comprises the positioning table, the positioning assembly and the positioning clamp, the rotating base is connected with the rail sliding base through the rotating bearing and can rotate freely, the machining angle can be adjusted without disassembling a workpiece, and the machining requirements of the punching and shearing machine for the workpiece in different directions are met; the rotating base can slide along the moving rail, the moving base quickly moves on the surface of the positioning table through the bottom face rolling wheels, the transverse distance between the two positioning assemblies is accurately adjusted in cooperation with threaded transmission of the threaded rod, and the positioning requirements of workpieces of different sizes are met; the multi-angle punching and shearing machining of a workpiece can be completed on the same equipment, in the clamping state, the movable base or the rotary base can be directly pushed, the workpiece is driven to rotate or translate, the positioning clamp can rapidly replace different types of clamps according to the shape of the workpiece, and the equipment remodeling time is shortened.
Owner:ANHUI ZHONGYI MACHINE TOOL MFG
A construction method suitable for low-height beam dropping of municipal bridges using jacking technology.
This invention relates to the field of bridge engineering technology, specifically to a construction method suitable for low-height beam lowering of municipal jacking bridges. The method includes the following steps: Step 1: Constructing a low-elevation beam lowering pier next to a permanent pier, and installing multi-layer beam lowering flanges on top of the pier; installing multi-layer replacement flanges on top of the permanent pier; the permanent pier is higher than the beam lowering pier, and the lowered bridge is supported by the replacement flanges; the bridge is in an initial high position. Step 2: Installing a walking machine on top of the beam lowering flanges using a crane, and pre-setting pads on the lifting assembly of the walking machine. Step 3: Activating the lifting assembly through the hydraulic system, making the lifting assembly in a parallel lifting state, with the pads in contact with the bridge, allowing the lifting assembly to distribute the load on the bridge from the replacement flanges; by setting hydraulic jacks at the bottom of the walking machine, in conjunction with the hydraulic system, continuous low-height adjustment without disassembling the pads is achieved during the beam lowering process.
Owner:CHINA RAILWAY CONSTRUCTION BRIDGE ENGINEERING BUREAU GROUP SOUTHERN ENGINEERING CO LTD +3
Video content intelligent analysis method based on edge computing platform
PendingCN121982489ABalance accuracyBalance deployment efficiencyCharacter and pattern recognitionBiological modelsAlgorithmEngineering
The invention provides a video content intelligent analysis method based on an edge computing platform, and the method comprises the steps: collecting a video stream through an image collection interface of the edge computing platform, and carrying out the preprocessing of a video frame at a CPU end, and obtaining standardized image data; the method comprises the following steps: converting a pre-trained neural network model into a special format model adaptive to an NPU (Network Processing Unit), and adopting a hierarchical quantization strategy in the conversion process: quantizing at least one network layer responsible for basic feature extraction in the model by adopting first numerical value precision, quantizing other network layers responsible for classification and regression in the model by adopting second numerical value precision lower than the first numerical value precision; dynamically scheduling the number of processing cores in an activated state in the NPU based on a processing load determined by analyzing the current video frame content represented by the standardized image data, and utilizing the processing cores in the activated state to load a special format model to infer the standardized image data; and post-processing the reasoning output result of the NPU to generate a structured analysis result.
Owner:FUJIAN ZHONGRUI NETWORK CO LTD
Multi-focus image fusion and depth recovery method based on Laplacian pyramid
PendingCN122090226Aavoid data transferavoid precision lossImage enhancementPattern recognitionComputer graphics (images)
The invention discloses a multi-focus image fusion and depth recovery method based on a Laplacian pyramid, and the method comprises a Laplacian pyramid construction module which is used for constructing a multilayer Laplacian pyramid expression for an input multi-focus image sequence {Ik} k = 1N (N is the number of images); the multi-focus image fusion module is used for fusing the images at different focus positions based on a fusion strategy of the Laplacian pyramid, and reconstructing a fused image through inverse transformation of the Laplacian pyramid; the focusing degree evaluation module is used for calculating the focusing degree of each image in the image sequence at each pixel position for depth estimation; and the depth recovery module is used for recovering the three-dimensional depth information of the scene based on the focusing degree evaluation result and the servo altimeter data.
Owner:MATFRON (SHANGHAI) SEMICON TECH CO LTD
Computer vision-based intelligent non-contact structural displacement detection method and system
The application discloses a kind of intelligent non-contact structural displacement detection method and system based on computer vision, belong to the field of deep learning.The method comprises: obtaining the first video image containing displacement target, establishing the first detection model based on YOLOv11 algorithm, using the first detection model to analyze and process the first video image, obtain the detection result of displacement target;Based on StrongSORT algorithm, construct information network according to the appearance features of multiple displacement targets, input the detection result into the information network, form the motion trajectory of multiple displacement targets;Based on the structure displacement analysis algorithm constructed in combination with frequency domain-time domain fusion module and inverse perspective transformation module, the actual structure displacement of displacement target is calculated based on the mapping relationship between target actual size and pixel coordinate;Based on the structure displacement analysis algorithm, the displacement change of target structure is detected in real time by the displacement calculation of continuous frames.The application realizes non-contact long-distance multi-target structure displacement real-time detection.
Owner:TIANJIN UNIV
Method and device for determining tooth root transition curve, electronic equipment and storage medium
The application discloses a method and device for determining a dedendum transition curve, electronic equipment and a storage medium. The method comprises the following steps: receiving gear configuration parameters and multiple sets of control parameters, and generating a tooth profile curve of the gear based on the gear configuration parameters and a preset involute equation; for each set of control parameters, generating a candidate dedendum transition curve from the tooth profile curve to the dedendum based on the tooth profile curve and the set of control parameters, and splicing the candidate dedendum transition curve with the tooth profile curve to obtain a single-tooth slot profile; generating a region to be analyzed based on the single-tooth slot profile, and performing grid division on the region to be analyzed; performing finite element solving on the grid region to be analyzed to obtain a stress value of the dedendum corresponding to the candidate dedendum transition curve; and determining a target dedendum transition curve from the candidate dedendum transition curves based on the stress values of the dedenda corresponding to the candidate dedendum transition curves. The application avoids the loss of precision caused by multiple format conversions when data is transmitted between multiple software, and improves the determination efficiency.
Owner:CRRC QISHUYAN INSTITUTE CO LTD +1