59 results about "Field analysis" patented technology

This invention relates to a method, device, electronic device, and computer storage medium for compensating for thermal errors in lead screws, belonging to the field of machine tool processing technology. The thermal error compensation method for lead screws is applicable to lead screw feed systems with fixed ends. It includes: acquiring real-time temperatures at key temperature points in the lead screw feed system and the positioning error at those real-time temperatures based on a preset experimental platform; constructing a three-dimensional model of the lead screw feed system based on the thermal deformation effects and complexity of each structure; performing transient temperature-structure coupled field analysis on the lead screw feed system based on the three-dimensional model to determine the correlation between the lead screw pre-tension and the thermal deformation under thermal steady-state conditions; constructing a quantitative mapping model between lead screw temperature and thermal deformation based on this correlation; and performing thermal error compensation on the lead screw based on the quantitative mapping model. This invention can accurately achieve thermal error compensation for lead screws.

This invention belongs to the field of oil and gas development and exploitation engineering technology, specifically relating to a method for determining the initiation zone and sequence of fractures during multi-layer fracturing and filling operations in loose sandstone reservoirs. Based on the basic physical properties and pumping parameters of each sub-layer, this invention establishes the time-varying process of fluid absorption and wellbore pressure at each sub-layer during multi-layer fracturing and filling operations, enabling rapid identification of sub-layers that have initiated fractures and those that have not. Furthermore, based on the fractured sub-layers, this invention iteratively corrects the fluid absorption capacity of each sub-layer and calculates the changes in fluid pressure at the wellbore of the un-fractured sub-layers, thus determining the sub-layers that will subsequently initiate fractures at each stage. This provides the order and timing of fracture initiation for construction design and on-site analysis, offering a basis for construction design and field analysis.

The application discloses a kind of deep melting interlayer development area rigid pile composite foundation structure design method, it is related to rigid pile composite foundation field, including the following steps: step one, in the existing rigid pile bearing capacity calculation process, front-end increase subgrade-ground temperature field analysis;Step two, increase groundwater analysis;Step three, determine the compression modulus of the soil layer of seasonal freeze-thaw layer, (water-rich) melting interlayer, permafrost layer, bearing capacity characteristic value, check the single pile bearing capacity characteristic value of different positions in the cross section of roadbed using different pile length, pile diameter, pile body stiffness material;Step four, carry out zoned unequal design, adjust pile length, pile diameter, pile body stiffness, so that the range of all pile single pile bearing capacity characteristic values in cross section is lower than design allowable value.The application effectively optimizes pile foundation design, reduces material waste, reduces engineering cost, while ensuring the safety and stability of structure.

This invention provides a method for measuring water flow velocity and related products. The method includes: acquiring a standardized image sequence of a target water area; extracting candidate feature points from every two adjacent real-time acquired images in the standardized image sequence using the SIFT algorithm, and filtering them according to preset screening criteria to obtain a set of candidate feature points; performing optical flow field analysis based on every two adjacent real-time acquired images using the RAFT optical flow model to obtain a dense optical flow field; determining a set of candidate optical flow vectors from the dense optical flow field based on the coordinates of each candidate feature point in the candidate feature point set; and determining the water flow velocity of the target water area based on the set of candidate optical flow vectors and a preset pixel-to-actual distance conversion relationship. This invention achieves accurate capture of the continuous motion trajectory of water flow and reliable matching of stable feature points, effectively improving velocity measurement accuracy and anti-interference capability.

The application discloses a design method of an integrated multi-mode curved optical waveguide and the integrated multi-mode curved optical waveguide and belongs to the technical field of integrated optics. Aiming at the problem that a traditional multi-mode curved waveguide is difficult to consider low loss and low crosstalk at a compact size, a waveguide model formed by cascading multiple variable-width generalized Euler spiral curve elements is constructed. Through an iterative optimization algorithm based on mode field analysis, the curvature radius and the waveguide width of each curve element are controlled in double degrees of freedom to obtain optimal geometric parameters with the minimum full-mode loss as the target. The waveguide structure breaks through the limitation of the traditional fixed-width design, realizes low-loss and low-crosstalk transmission of multi-mode signals at a very small bending radius, significantly improves the tolerance of the device to manufacturing process deviation, and is suitable for a high-density on-chip optical interconnection system.

This invention belongs to the field of integrated radar signal processing technology, specifically involving a two-stage clutter suppression method based on the space-time domain, which solves the problem of clutter suppression in complex low-altitude environments. First, the first stage, based on CLAM (Clear-and-Field Analysis), eliminates the dependence on the radial velocity difference between the target and clutter, directly and accurately shielding clutter from the physical space dimension, efficiently eliminating strong static ground object interference while preserving the energy of low-speed UAVs without loss. Second, the second stage, with its candidate angle traversal and circle fitting algorithm, accurately estimates and reduces the DC bias caused by residual static clutter, successfully overcoming the blind spot problem when the target and clutter spatial angles are close, enabling accurate extraction of weak, low-speed UAV targets at close range.

The application discloses a kind of unstructured grid flow field prediction method and system based on ordered state space model, comprising: the geometric physical feature extraction of input unstructured grid;Massive node features are aggregated and reduced to a small number of macroscopic physical perception slices by learnable physical slicing mechanism;Innovatively introduce the spatial weighting center ordering mechanism based on flow field principal axis, convert unordered slices into ordered sequence strictly conforming to fluid evolution direction;Global feature interaction and evolution are carried out on ordered sequence using bidirectional selective state space model with linear complexity;Finally, the evolved features are restored to the original grid and the prediction result is output.The application reduces the computing cost significantly while achieving high-precision prediction by explicitly modeling the directionality and causality of fluid evolution, and is suitable for rapid flow field analysis and optimization design in the field of vehicle aerodynamics.

The application discloses a kind of aerodynamic damping analysis method based on influence coefficient method and vibration phase correction, it is related to the technical field of aerodynamic damping analysis of turbomachinery.The technical solution points include the following steps: according to the aerodynamic profile and structural model of blade, fluid domain model and solid domain model are established respectively;Carry out steady flow field analysis on fluid domain model, and provide initial field for non-steady flow field calculation;Modal analysis is carried out on solid domain model, and the natural frequency and modal shape of blade under rotating condition are obtained;Designate intermediate blade to vibrate according to the modal shape and natural frequency obtained, and carry out non-steady flow field analysis with steady flow field result as initial field;After calculation convergence, extract the aerodynamic force on blade surface, and calculate the aerodynamic work on blade under different pitch diameters.The application can give the situation under all pitch diameters by once non-steady flow field calculation, without multiple calculation of non-steady flow field under different pitch diameters, more quickly and efficiently, save calculation resources.

The present application relates to the field of underwater vehicle flow field analysis, and discloses a variable reconstruction underwater vehicle flow field mutual interference analysis method, comprising: modeling a single underwater vehicle; based on the single underwater vehicle, constructing a variable reconstruction underwater vehicle; converting the variable reconstruction process into a series of transient processes parameterized by the axial spacing between the head end face and the tail end face of adjacent single underwater vehicles; building a fluid simulation calculation framework, and batch calculating the fluid dynamic parameters of different parts of the variable reconstruction underwater vehicle under different axial spacings corresponding to each transient process; based on the variation law of the fluid dynamic parameters with the axial spacing, determining a characteristic spacing from the axial spacing; using the velocity nephogram and the pressure nephogram, and combining the characteristic spacing and the fluid dynamic parameters of different parts of the variable reconstruction underwater vehicle, the flow field mutual interference is analyzed. The present application effectively reduces the calculation cost and improves the efficiency of flow field analysis.

The application discloses a kind of ultra-thin copper foil high-precision slitting and winding control system, relating to copper foil precision machining technical field, including thickness monitoring, quality field analysis, slitting control, tension monitoring and winding control module.The system constructs copper foil dynamic quality field model by upstream thickness data, calculates axial quality balance coefficient, and then carries out dynamic pre-compensation adjustment to slitting tool holder.While slitting, the real-time tension spectrum of each independent copper foil strip is collected, and matched with ideal tension spectrum for analysis, and finally generates independent tension compensation signal of each winding shaft to adjust torque output.The application can realize slitting active compensation based on global quality prediction and winding independent accurate control based on multi-axis tension spectrum tracking, so as to improve slitting precision, ensure winding flatness and internal stress uniformity.

This invention discloses a mineral exploration system suitable for shallowly covered areas, belonging to the field of mineral exploration technology. It includes: a mineralization prospect selection module for analyzing acquired geological data of shallowly covered areas and selecting mineralization prospect areas; an initial target area delineation module for delineating initial mineralization target areas based on the selected mineralization prospect areas and geophysical exploration data; a target area screening module for narrowing down the initial mineralization target area based on geophysical exploration data, shallow drilling and geochemical data, and field analysis data; and a target area verification module for verifying the mineralization target areas obtained by the target area screening module, revealing target geological bodies, and estimating the overall resource quantity of the ore bodies. This invention, by employing the above system, improves the reliability and efficiency of mineral exploration through the effective integration of multi-source data.

This invention provides a method and system for assimilating tropical cyclone wind speeds using spaceborne GNSS-R, comprising: partitioning the tropical cyclone (TC) structure based on a matching dataset of massive historical SAR and ERA5 reanalysis data, and statistically decoupling the radial and tangential correlation scales of the wind corona discharge (BEC) within each partition; establishing an empirical mapping model between BEC statistics and key TC parameters; and driving the empirical model to construct a flow-dependent anisotropic BEC matrix based on real-time TC parameters provided by the international best path archive, and introducing it into a variational assimilation system to assimilate multi-source spaceborne GNSS-R observation data, reconstructing a high-resolution TC sea surface wind field analysis field. This invention, starting from a physical mechanism, effectively suppresses the gradient smoothing effect of background errors in the eyewall region, reducing the root mean square error of the background field by 33% under extreme wind speeds, significantly improving the engineering and operational capabilities of spaceborne GNSS-R data in TC intensity and structure monitoring.

The application provides a gas jet field analysis method, a coordinate positioning method and an analysis system, wherein the gas jet field analysis method comprises the following steps: acquiring parameter information of a jet device; starting the jet device based on the parameter information to obtain an experimental jet field; drawing a jet line based on the experimental jet field; determining the spatial coordinates of a sampling point based on the jet line; and sampling the spatial coordinates of the sampling point to analyze the characteristics of the experimental jet field. The spatial coordinates of the sampling point can be accurately positioned by drawing the jet line, the reliability is high, manual participation is not required, the experimental cost is reduced, and the safety is improved.

This invention discloses a method for inverting and calculating the thermal parameters of tunnel lining and surrounding rock based on temperature field testing, comprising the following steps: S1, deploying temperature sensors radially along the tunnel cross-section to monitor the air, lining, and surrounding rock temperatures over a long period; S2, fitting the temperature changes at each measuring point using trigonometric functions to obtain the annual average temperature and annual temperature amplitude; S3, fitting an exponential characteristic function based on the radial decay law of the annual temperature amplitude; S4, calculating the thermal conductivity of the lining and surrounding rock based on the characteristic function; S5, fitting a logarithmic characteristic function based on the radial distribution of the annual average temperature; S6, calculating the convective heat transfer resistance and cross-sectional heat flux density; S7, combining the heat flux density and temperature distribution characteristic function to invert and obtain the thermal conductivity of the lining and surrounding rock. This method is based on the steady-state and periodic heat transfer principle and has advantages such as low cost and no damage to the tunnel structure, providing thermophysical parameters for temperature field analysis and anti-freezing design of tunnels in cold regions.

This invention discloses a quantitative method for the dynamic consistency of temperature field based on thermal field analysis. Temperature measurement points are set up upstream and downstream of the filter. During the isothermal stage, a set disturbance is applied and multiple temperature sequences are collected. The preprocessed temperature data is obtained after detrending and bandpass filtering. Frequency domain analysis is used to calculate the average phase value of the upstream and downstream temperature sequences within a preset frequency band, and the results are grouped into the principal value region to form a downstream phase set. Based on this set, the absolute value of the phase mean and circular statistical parameters are obtained. By calculating the complementary value of the absolute value of the phase mean and the exponential decay result of the circular statistical parameters, a comprehensive score reflecting the temperature uniformity of the extinguishing effect is obtained, thus achieving a quantitative evaluation of the dynamic consistency of the extinguishing temperature field.

The application discloses an emotion recognition method based on fusion field analysis and mind theory, and the core process comprises four steps: multi-modal frequency domain enhanced feature extraction, reliable low-rank multi-modal fusion, LIMP multi-agent cognitive reasoning and integrated evaluation and verification. The three-level architecture of "frequency domain transformation, pre-training enhancement and attention de-redundancy" is used to purify features, the T-LMF network is constructed based on low-rank decomposition and MoNIG algorithm to solve the dimension disaster and uncertainty problem of modal fusion, the cognitive leap from emotion recognition to intention understanding is realized by means of the LIMP model, and finally the effect is verified by a standardized evaluation system. Under the premise that the parameter quantity is reduced by more than 90%, the emotion classification accuracy is improved by 2.8% to 4.2% compared with the existing model, the F1 value of social target reasoning reaches 89.7%, the robustness and generalization ability are significantly enhanced, and the application can be widely applied to the fields of human-computer interaction, social robots, intelligent assistants and the like, and provides technical support for multi-modal emotion cognition in complex scenes.

The application discloses a kind of reference calibration methods for the size drift of mobile phone shell positioning hole, it is related to mobile phone shell production technical field, comprising: obtaining the contour boundary data of multiple positioning holes on mobile phone shell, contour action energy field is established in the internal region of positioning hole, and according to the distance relationship of each position to contour boundary, distance potential field is constructed, and center probability field is generated;According to the energy variation continuity and propagation direction consistency of contour action energy field analysis positioning hole contour boundary each area, identify abnormal action area and carry out energy attenuation processing to abnormal action area.The application constructs contour action energy field and distance potential field in the internal positioning hole, and further generates center probability field, so that the effect of positioning hole contour structure on internal space can be expressed in the form of continuous field, so that the stable center position of hole region can be stably determined when the positioning hole contour appears ovalization or local anomaly.

The utility model discloses an electrode lifting control system of ore heating furnace belongs to ore heating furnace control technical field, has solved ore heating furnace control and is influenced by complex working condition bigger, and the problem of electrode regulation is not in time, and control precision is low. The utility model discloses including furnace condition data acquisition module and PAC controller, and furnace condition acquisition module is connected with PAC controller, and PAC controller is connected with hydraulic actuating module, and PAC controller still is connected with host computer. The utility model stable operation, safe and reliable, combines temperature field analysis and transformer electric parameter, and real -time acquisition furnace condition and electrode position, realizes electrode position and temperature control's synergic optimization, realizes ore heating furnace's electrode control's timely, and the precision, has very strong popularization.

This invention discloses a self-sieving injection device and method for tracer particles, relating to the field of natural gas pipeline flow field analysis and testing technology. The self-sieving injection device for tracer particles includes a tracer particle generator for containing tracer particle liquid; a screening tank assembly connected to the tracer particle generator for receiving, screening, and dispersing the tracer particle liquid; and an atomizing generator connected to the screening tank assembly for mixing the tracer particles with natural gas and inputting it into the natural gas pipeline. This invention reduces particle agglomeration, improves particle distribution uniformity, reduces interference with the pipeline flow field, adapts the tracer particles to the high-pressure pipeline environment, improves measurement accuracy, and enhances safety.

The present application relates to the technical field of mine electrical equipment wiring management, and particularly relates to a mine electrical cabinet cable network three-dimensional comprehensive wiring method and system. The method comprises the following steps: performing electrical cabinet packaging model design of structure and interface based on mine electrical cabinet physical structure heterogeneous data and mine electrical cabinet electrical element interface data, and generating a packaging electrical cabinet structure-interface model; performing beam management analysis and processing of cable connection topology requirements based on the packaging electrical cabinet structure-interface model, and generating cable connection topology requirement beam management data; performing three-dimensional cable wiring constraint field analysis on the packaging electrical cabinet structure-interface model, and generating three-dimensional cable wiring constraint field data; and performing spatial constraint cable three-dimensional wiring path analysis based on the cable connection topology requirement beam management data and the three-dimensional cable wiring constraint field data, and generating cable three-dimensional wiring path data. The present application realizes intelligent wiring of mine electrical cabinet ground cable network.

The application discloses a thermal-mechanical fatigue crack propagation rate testing method based on rigidity and crack tip strain field, comprising the following steps: firstly, a relationship function between normalized crack length and normalized rigidity is established through finite element calculation; secondly, DIC speckle preparation is carried out for observing crack propagation and strain field analysis; then, a thermal-mechanical fatigue test is carried out, crack length is calculated based on rigidity change results of the test, an a-N relationship curve is drawn combined with DIC synchronous observation results, and comparative analysis is carried out; finally, crack propagation rate is calculated through a three-point moving average secant method, and the size of a plastic zone at a crack tip is determined according to DIC strain field analysis, so that the accurate test of the crack propagation rate is realized. The application can effectively test the fatigue crack propagation behavior under the thermal-mechanical coupling effect, and accurately obtain the thermal-mechanical fatigue crack propagation rate combined with the crack tip strain field measurement method, so as to provide test data support for damage tolerance design and structure integrity evaluation of high-temperature pressure-bearing equipment.

The application provides a flow field analysis method in underwater mechanical arm movement process, the method comprises the following steps: determining the simulation movement parameter sequence of the mechanical arm in the underwater space, the simulation movement parameter sequence comprises a plurality of simulation movement parameters arranged in time sequence; based on the simulation movement parameter sequence, determining the first coordinate parameter sequence of the target part of the mechanical arm and the second coordinate parameter sequence of the dynamic plane slice corresponding to the target part of the mechanical arm, the dynamic plane slice matches the cross section where the target part is located, the first coordinate parameter sequence comprises a plurality of first coordinate parameters arranged in time sequence, the first coordinate parameter comprises the position point coordinates of a plurality of position points on the outer surface of the target part, and the second coordinate parameter sequence comprises a plurality of second coordinate parameters arranged in time sequence; based on the first coordinate parameter sequence, the second coordinate parameter sequence and the flow field data of the underwater space, the target part of the mechanical arm is subjected to flow field analysis, and the flow field analysis result of the target part is obtained.

The present application relates to the technical fields of machine vision and industrial automation detection, in particular to a kind of edible oil filling liquid level defect detection method based on machine vision;Contain image acquisition, entropy graph construction, contour evolution and state classification steps;Method is by obtaining container image, calculates texture entropy and transmissivity to construct refraction scattering entropy graph;Its core is to establish the active contour model with virtual mechanics properties, utilize entropy graph gradient to guide evolution curve to converge and lock gas-liquid interface;According to the defect classification of steady-state contour geometric information;The present application converts gray scale segmentation into optical potential field analysis, effectively distinguishes foam interference and real liquid level, significantly improves the detection precision under complex optical environment.

This invention relates to the field of visual analytics technology, and discloses a method and apparatus for flow field visual analysis driven by a large language model. The method includes: acquiring a flow field dataset to be analyzed and user commands; performing semantic analysis on the user commands using a large language model to obtain structured commands; based on the structured commands, retrieving corresponding target data from the flow field dataset using the large language model, and generating descriptive text corresponding to the target data; running a visualization agent based on the target data and the descriptive text to obtain visualization results; and displaying the target data according to the data display method indicated by the user commands. By using a large language model to achieve natural language-based interaction, user operation commands or text commands are converted into structured commands, thereby presenting visualization results and explanations in real time according to user needs, greatly improving the user experience.

The application discloses a bridge damage online monitoring system and method based on daily temperature effect, relates to the technical field of bridge structure health monitoring, and comprises the following steps: S1, synchronously collecting temperature data and strain data of each monitoring section at a preset sampling period; and S2, performing abnormal data elimination on the collected temperature data and strain data.The application realizes a leap from one-dimensional signal comparison to two-dimensional space field analysis, and significantly improves damage positioning precision and long-term self-maintenance capability of the system through model-field quantity two-dimensional fusion discrimination and benchmark adaptive updating.

The present application relates to the technical field of gas explosion protection, and particularly relates to a jet field analysis method, a coordinate positioning method and a system based on mobile guide rail technology. The present application is based on the space axis symmetry theory and the boundary wave theory of gas leakage jet field, combined with remote control mobile technology and precise leakage field concentration testing technology, and proposes a jet field analysis method based on mobile guide rail technology; to realize accurate positioning, high reliability, without human intervention, thus reducing the experimental cost and improving the safety; can effectively avoid the existing technology, which generally adopts experimental test or data simulation, has a large deviation, low reliability and weak guiding significance for the actual scene; the analysis results are effectively used in the actual application of gas jet, to provide effective accident prevention measures for gas leakage, and to accurately obtain the jet field information at the same time of the accident, to determine the related information of the leakage point, and to timely and effectively position and rescue.

This invention relates to the field of cable temperature measurement, specifically to an IoT-based infrared temperature measurement anomaly diagnosis system and method for cable terminals inside cabinets. The system includes an infrared array module, a feature classification module, a temperature compensation module, an image recognition module, and a fault prediction module. The infrared array module acquires thermal image sequences; the feature classification module generates a temperature field classification model; the temperature compensation module merges the temperature compensation models; the image recognition module compensates the infrared images and extracts multi-dimensional feature vectors; and the fault prediction module calculates the cable fault type and probability. This invention reduces emissivity interference, improves temperature measurement accuracy, performs more comprehensive temperature field analysis, enhances temperature measurement precision, reduces maintenance costs, improves equipment reliability, enhances the intelligent operation and maintenance level of switchgear, improves cable operation safety, and enables temperature monitoring and fault early warning for switchgear.

The method for predicting the temperature field of a fire-corroded beam based on a physical information neural network belongs to the field of post-fire structural temperature field analysis technology. It includes the following steps: (1) constructing a heat transfer model; (2) constructing a simplified rust expansion cracking model; (3) constructing a physical information neural network model; (4) training and evaluating the network; and (5) detecting the temperature field of the fire-corroded beam section using the physical information neural network model. This invention improves local prediction accuracy by introducing an adaptive importance sampling and interface focusing training strategy to dynamically densify sampling points in rust expansion cracks and high-temperature gradient regions. Simultaneously, it embeds control equations, latent heat of phase change, and complex boundary conditions into the model to achieve transient heat transfer modeling under the coupled effects of fire and water spray cooling. By enhancing the physical consistency of different material interfaces through heat flow continuity constraints, it significantly improves the accuracy and stability of temperature field prediction under complex working conditions while ensuring computational efficiency.

The application relates to a two-stage brush seal brush wire welding method, system, device and storage medium, and the method comprises the following steps: according to actual structure data of a brush seal test piece, a three-dimensional entity model of brush seal leakage and heat transfer characteristics is established; the three-dimensional entity model is subjected to finite element mesh division, a plurality of grid units of brush wire bundles and front and rear baffle entity models are formed, so that finite element analysis is carried out after welding; various process parameters and boundary condition settings of welding of the brush wire and the front and rear baffles are carried out, temperature field analysis, stress field calculation of indirect heat force coupling and mechanical property analysis are carried out respectively. Through the establishment of the three-dimensional entity model, the finite element analysis and the multi-field coupling calculation, the welding temperature field, the stress field and the deformation are accurately predicted, and the welding quality and the process reliability are significantly improved.

This invention discloses a sensor-perception collaborative design method for fault diagnosis of the drive unit of a monorail crane under cloud-edge resource constraints, belonging to the field of monorail crane technology. First, taking the drive unit of the monorail crane as the object, the optimal monitoring position of the sensor is determined through finite element structure and temperature field analysis combined with simulation data quantitative evaluation. Then, based on this position, a conformal sensor precisely matching the curvature of the surface is designed and manufactured using direct-writing 3D printing technology. Next, a resource-constrained neural architecture search is introduced to adaptively design a lightweight diagnostic network model, balancing diagnostic accuracy and computational complexity. Finally, a federated learning distributed model evolution mechanism is constructed, achieving cross-node collaborative evolution of the model through local training at edge nodes, encrypted weight upload, cloud-based aggregation evaluation, and local fine-tuning at nodes. This invention can achieve accurate real-time fault diagnosis, improve model generalization ability, adapt to cloud-edge resource-constrained working conditions in coal mines, and ensure the safe and efficient operation of monorail cranes.