79results about How to "Improve correction accuracy" patented technology

The invention belongs to the technical field of power grid power transmission, and discloses a power grid intelligent power transmission line fault positioning system, which comprises the steps of collecting power operation data, spatial data and environmental data; correcting the power operation data based on the constructed power correction model to obtain corrected power data; performing topology establishment on the corrected power data and the spatial data by adopting a neural network algorithm to obtain a power grid topological graph, and performing graph decomposition on the power grid topological graph by adopting an ant colony algorithm to obtain B topological sub-graphs; constructing a fault prediction model for predicting a fault type; performing fault prediction on the B topology sub-graphs through a fault prediction model, marking the topology sub-graphs with predicted fault types as fault sub-graphs, positioning fault points in the fault sub-graphs through a particle swarm algorithm, and determining final fault point positions; and the positioning speed of the fault point location is greatly improved.

The invention provides a rapid random model correction method for an active learning type ocean platform structure, and the method comprises the steps: firstly carrying out the selection of correction parameters through considering the sensitivity, then carrying out the design of a test scheme, and building an initial Kriging model; a new correction parameter training sample is found, the frequency corresponding to the new sample is calculated, a Kriging model is reconstructed by adopting a new training set, random model correction is performed based on the reconstructed Kriging model, an objective function is constructed by adopting actually measured frequency data and initial finite element model frequency data, and a correction parameter mean value and a standard deviation are taken as solving objectives. And solving by utilizing an optimization algorithm to obtain a mean value and a standard deviation of correction parameters of the finite element model to be corrected, and repeatedly iterating to realize random correction of the ocean platform structure. According to the method, rapid, efficient and accurate model correction under small samples and noise errors is realized, and higher correction accuracy can be obtained by adopting fewer training samples.

The invention discloses a self-healing sensing method and a self-healing sensing device, and aims to improve the reliability and the accuracy of a sensor under the condition that a fault exists or the performance is reduced. According to the basic principle of the method, a self-detection and self-healing mechanism is started in time by monitoring the difference between sensor output and target physical quantity in real time, so that the stability of the system and the reliability of data are ensured. According to the self-healing sensing method and device, data unreliability caused by sensor faults can be effectively handled, and the self-adaptive capacity and robustness of the system are improved. Through the combination of real-time monitoring and machine learning, the system can automatically adjust the output when the sensor fails, and reduces the need of human intervention, thereby improving the stability and data quality of the whole system. The innovative method has wide application prospects in the fields of intelligent sensors, automatic control, Internet of Things and the like.

The invention discloses an SOC adaptive correction method, device and system for a lithium battery pack, and relates to the technical field of electrical performance testing. The SOC adaptive correction method of the lithium battery pack comprises the following steps: acquiring use data of the lithium battery pack; on the basis of the use data, obtaining an abnormal weight of each battery monomer; performing negative correlation normalization processing on each abnormal weight to obtain a normalized weight; and adjusting the load of each single battery based on the normalized weight. According to the method, the use data of the lithium battery pack is called and analyzed, the first coefficient sequence in the battery monomers is firstly constructed, correlation analysis is performed based on the motor load of the electric vehicle loaded by the lithium battery pack, the abnormal weight of each battery monomer is finally obtained, and active balance management is performed based on the abnormal weight. Therefore, the purpose of improving the subsequent SOC correction precision by improving the consistency of the voltage of each single battery is achieved.

The invention discloses a photovoltaic power generation power prediction method, and the method comprises the steps: obtaining photovoltaic historical operation data, and carrying out the preprocessing of the data, and obtaining the enhanced meteorological data and numerical prediction data of a photovoltaic station; deep feature extraction is carried out on the enhanced meteorological data and numerical forecasting data, and preliminary feature information is captured; performing adaptive weighted correction on the captured preliminary feature information to obtain corrected depth feature information; carrying out decoding operation on the depth feature information, and carrying out real-time dynamic noise reduction on data output by decoding to obtain meteorological correction data; and taking the meteorological correction data obtained after noise reduction as input data of the time sequence model to obtain a photovoltaic power prediction result. According to the method, the precision of photovoltaic power prediction can be remarkably improved, the operation and maintenance management of the power grid can be optimized, and the integration and utilization efficiency of renewable energy sources is enhanced.

The invention relates to the technical field of document picture processing, in particular to an image correction method not constrained by document pictures, which comprises the following steps of: S1, constructing a correction model, and obtaining a trained correction model after batch data training of a data set; the correction model mainly comprises a feature extraction network, a distortion encoder, a correction decoder and a code stream header, S2, inputting a distorted document image to be corrected into the correction model, predicting the offset of each pixel value of the distorted document image, and recovering the pixel values of the document image through the offset, and the distorted document picture is corrected and repaired. The method is not limited by document images, distorted document images in various real scenes can be processed at low cost, and the effect is better than that of other traditional image correction methods.

The invention discloses an image distortion correction method, device and system and a storage medium, which are used for improving the aliasing elimination effect of a display screen image. The method comprises the following steps: partitioning a display screen image to be corrected to generate a plurality of image sub-block sets; inputting the plurality of image sub-blocks into a scale-invariant distortion correction model for distortion correction, and generating a plurality of transformation matrixes which are transformation coefficient sets of pixel point coordinates before and after correction; constructing an adaptive convolution filter according to the plurality of transformation matrixes; inputting the plurality of image sub-blocks after distortion correction into the adaptive convolution filter for anti-aliasing convolution and interpolation calculation, and outputting the plurality of image sub-blocks after pixel point optimization correction; performing multi-scale anti-mixing correction on the edge areas of the plurality of corrected image sub-blocks; and splicing the plurality of image sub-blocks to generate a complete target correction image.

The invention discloses a sitting posture correction method, device and system and a seat, and belongs to the technical field of health monitoring. The sitting posture correction method comprises the steps of obtaining a sitting posture image of a target object and multiple pressure data on a seat where the target object is located; processing the sitting posture image and the plurality of pressure data to obtain a target sitting posture feature corresponding to the target object; and based on the target sitting posture characteristics, controlling the seat to correct the sitting posture of the target object. According to the sitting posture correction method, the sitting posture of the user is intelligently corrected, the actual requirements of different users can be met, the correction effect and the correction precision are improved, and the use experience of the user is good.

The invention provides an atmospheric delay correction method based on GNSS (Global Navigation Satellite System) high-order horizontal gradient and particle filtering. The atmospheric delay correction method comprises the following steps: acquiring GNSS data; gNSS ZTD is obtained by using a parameter estimation method; determining a mapping function, and correcting the mapping function by using an ETILTING method to obtain anisotropic delay; the GNSS ZTD is corrected by using the anisotropic delay, and the corrected GNSS ZTD is obtained; performing particle filtering on the corrected GNSS ZTD and gradient observation data, and constructing a linear relation model between the observed ZTD value and the height and a linear relation model between the observed GNSS delay gradient parameter and the height; after convolution interpolation is carried out on the regularly-gridded sea level ZTD, the sea level ZTD is projected to an InSAR coordinate, and a neutral atmospheric delay correction model is obtained; subtracting the neutral atmospheric delay correction model from the estimation delay models at different times to obtain a delay difference; and correcting the interference pattern through the delay difference to obtain a corrected interference pattern. The method disclosed by the invention has obvious advantages in the aspects of reducing the atmospheric delay influence and improving the ground surface infinitesimal displacement monitoring precision.

The invention relates to the technical field of air conditioner copper pipes, in particular to a multi-station synchronous correction control system for an air conditioner copper pipe. Comprising a copper pipe straightening unit used for straightening a to-be-treated copper pipe; the detection unit is used for collecting structural parameters of the to-be-treated copper pipe; the central control unit comprises a first processing module and is used for establishing a copper pipe analysis model; the first processing module is further used for setting a primary correction strategy according to the structure parameters of the copper pipe to be processed and the copper pipe analysis model; the first processing module is further used for setting working parameters of the copper pipe correction unit according to the primary correction strategy; the second processing module is used for establishing a linkage monitoring model; the second processing module is further used for judging whether a compensation correction instruction is generated or not according to the linkage monitoring model. By analyzing the structural parameters of the to-be-treated copper pipe, the correction efficiency of the system on the air conditioner copper pipe is improved. And a linkage monitoring model is additionally arranged, local deviation in the correction process of the to-be-treated copper pipe is early warned in time, and error accumulation is prevented.

An optical proximity correction method and system, a mask, a device and a storage medium, the optical proximity correction method comprising: providing a first target pattern of a current layout layer and a second target pattern of a previous layout layer, the projection of the second target pattern in the current layout layer having an overlapping portion with the first target pattern; according to the first target graph and the second target graph, a derived graph is obtained, and the derived graph is located in the virtual layout layer; and performing optical proximity correction processing on the first target graph in combination with the first target graph and the derived graph. According to the invention, more accurate optical proximity correction processing on the first target graph is facilitated, and the correction accuracy of the optical proximity correction method is improved.

The utility model relates to gas pipe correction technical field especially, it relates to a kind of PE gas pipe correction clamp, solve the problem that the pipe wall is prone to local indentation, flattening or stress concentration, and new plastic deformation is easily caused in the clamping area of pipe body when only applying correction force from outside in prior art due to the certain flexibility and elasticity of PE material.A kind of PE gas pipe correction clamp, including frame, both sides of frame are fixedly connected with side plate, and the opposite side of two side plates is equipped with arc clamping plate, and the bottom of two arc clamping plates is slidably connected between the bottom of frame, both sides of frame are equipped with support rod, and the one end of two support rods is respectively through both sides of frame.The utility model effectively solves the problem that pipe wall is prone to flattening, indentation or uneven stress due to lack of inside support in existing correction clamp, realizes the simultaneous support and uniform stress of inside and outside of PE gas pipe.

This utility model relates to the field of photovoltaic module technology, specifically providing a correction device for photovoltaic modules, aiming to solve the problem of how to avoid deviations in correction caused by incoming material errors. To this end, the correction device for photovoltaic modules of this utility model includes a correction wheel, a first transfer mechanism, an elastic structure, and a position detection component. The first transfer mechanism includes a moving part; the moving part is connected to the correction wheel through the elastic structure. The first transfer mechanism is configured to drive the correction wheel to move and abut against the side of the photovoltaic module, thereby forcing the elastic structure to deform. The position detection component is configured to detect the actual position of the correction wheel, so as to determine the deviation size of the photovoltaic module based on the actual position and the preset position of the correction wheel. The correction device of this utility model can determine the deviation size of the photovoltaic module and adjust the correction size according to the deviation size to improve the correction accuracy, and also improve the working accuracy of subsequent processes.

The invention relates to the field of micro electro mechanical systems, in particular to an alignment photoetching eccentricity correction method, a preparation method of a product wafer and a multi-layer bonding wafer. The eccentricity correction method comprises the step of providing a photoetching plate with a preset pattern and a correction plate with a preset pattern, wherein the position of the preset pattern on the correction plate is accurate. The photoetching plate is arranged on a mask table of an alignment photoetching machine, the correction plate is arranged on a workbench of the alignment photoetching machine, and the positions of the preset patterns on the photoetching plate and the correction plate correspond to each other through an automatic alignment system and a moving assembly of the alignment photoetching machine. And replacing the positions of the target wafers with the same size so as to correspond to the position of the photoetching plate. According to the method, the existing alignment photoetching machine is used for photoetching, so that the advantage of high alignment photoetching efficiency is kept, the eccentricity between the photoetching plate and the target wafer is reduced, and the method has relatively high universality and practicability.

The invention discloses a transformer area multi-user short-term load prediction method and system based on spatial-temporal correlation, and relates to the technical field of power load prediction. Comprising the following steps: identifying abnormal load data by adopting a DBSCAN algorithm, clustering users through a K-means algorithm, and replacing abnormal characteristic values with mean values in classes at the same time to obtain an optimized load data set; constructing a comprehensive correlation analysis index to carry out quantitative analysis on the correlation between each influence factor and the load, and selecting the influence factors with strong correlation as input characteristics of the multi-element load prediction model; characteristic extraction and prediction are respectively carried out in time and space by using Informer and GCN, and then single prediction results are fused through a variance-covariance combined prediction model to realize load prediction in a certain period of time in the future. According to the method, the short-term load prediction precision can be effectively improved by means of the introduced space-time related information of the transformer area multi-user load.

This invention provides a vehicle simulation speed correction method and system, relating to the field of vehicle intelligent dynamics modeling technology. The correction method includes the following steps: S1: Input and process simulation data output from the vehicle dynamics simulation model and corresponding real vehicle test data; S2: Construct a dynamic graph structure representing the interaction between state variables based on a preset physical coupling relationship of the vehicle powertrain; S3: Input the simulation data into a GCN and perform graph convolution operations under the constraints of the dynamic graph structure to extract graph embedding feature sequences representing the spatial dependencies between state variables; S4: Input the graph embedding feature sequences into a TCN and perform temporal convolution operations to learn the dynamic evolution law of state variables in the time dimension and output the correction amount of the vehicle simulation speed; S5: Output the result. Based on this, this invention solves the problem that existing correction methods have various limitations in practical applications.

The invention belongs to the technical field of medical instruments, and particularly relates to an invisible anterior tooth adduction correction device based on implant anchorage, which comprises a main body, two sides of the main body are fixedly connected with a pair of anchorage arms, one end, far away from the main body, of each anchorage arm is fixedly connected with a mounting part, and the edge of the main body is fixedly connected with a pair of fixing rings. The fixing ring is located between the pair of anchorage arms, a sliding groove is formed in the edge of the side, away from the fixing ring, of the body, a pair of sliding blocks are slidably connected to the inner side of the sliding groove, first hooks are fixedly connected to the sides, away from the fixing ring, of the sliding blocks, and a pair of second hooks are arranged on the two sides of the sliding groove. The anterior tooth adduction device has the beneficial effects that by arranging the main body, the anchorage arm, the anchorage nail and the fixing ring, the anterior tooth adduction device can be fixedly mounted in the palate skull of the oral cavity of a patient, and anchorage is provided for anterior tooth adduction of the patient, so that loss of anchorage is avoided, and accurate control on the anterior tooth adduction speed, direction and mode of the patient is realized.

An optical proximity correction, photomask production and patterning method, wherein the optical proximity correction method comprises: respectively setting a first tolerance and a second tolerance for a first sub-pattern and a second sub-pattern in a first initial pattern, and the first tolerance is less than the second tolerance; performing optical proximity correction on the first initial pattern, and during the correction process, if the first edge placement error is less than or equal to the first tolerance, and the second edge placement error is less than or equal to the second tolerance, the optical proximity correction is completed, and a first corrected pattern is obtained. The optical proximity correction method provided by the present invention can improve the correction accuracy and correction efficiency.

The present disclosure provides an image processing method, which relates to the technical field of image processing. The method comprises the following steps: performing scene recognition on an image, and determining a scene region according to a scene recognition result; dividing the image into a plurality of image blocks, and determining at least one adjacent image block of a pixel point; obtaining a target image parameter of the pixel point according to an image parameter of the pixel point and a mapping relationship between the adjacent image block and a target scene region corresponding to the image parameter; and adjusting the image parameter of the pixel point in the image according to the corresponding target image parameter. The present disclosure can improve the image parameter correction accuracy of a multi-scene image.

The utility model belongs to the field of bilateral straightening machines, and particularly relates to a bilateral straightening machine for H-shaped steel flanges, which comprises a left side plate and a right side plate, mounting plates are fixedly connected to two ends of the left side plate and the right side plate, and placing blocks are fixedly connected to side surfaces of the left side plate and the right side plate. Pressure assemblies are fixedly connected to the two sides of the mounting plate and the two sides of the containing block correspondingly. Each pressure assembly comprises a hydraulic push rod fixedly connected to the surface of the mounting plate and the surface of the containing block and a pressing plate fixedly connected to the bottom end of the hydraulic push rod. Through a connecting rod and inserting hole matching structure arranged between the left side plate and the right side plate, quick dismounting and positioning of the two side plates are achieved, a modular correction unit is formed by combining a placing block and pressure assemblies symmetrically distributed on the two sides of a mounting plate, the overall size is effectively reduced, portability is improved, and the equipment can meet temporary correction requirements of different construction scenes; the problems that a traditional straightening machine is complex in structure and inconvenient to move are solved.

The application provides a multi-source spatial data topology consistency automatic processing method for quick update of a vector database, and belongs to the field of topology relation checking. The method comprises the following steps: pre-processing a fusion data layer graph spot, processing the topology consistency of the fusion data layer graph spot and a basic database graph spot, and post-processing the fusion data layer graph spot; setting a topology consistency processing threshold value of the fusion data layer graph spot and the basic database graph spot, and obtaining a processing result according to the processing. The application uses an R-tree spatial index method to search for geometric graph spots with common points, common edges or overlaps, so that the accuracy is not sacrificed while meeting the quick search. The application processes and aligns the boundaries of points, lines and surfaces of the geometric graph spots in all directions, and has high correction accuracy and high speed.

The application discloses a kind of barometric altitude dynamic correction method based on airborne data.First, the sliding window parameters are screened using recursive feature elimination method, and then the sliding window is initialized and updated;Clean the sliding window data, first determine whether the sliding window data is null, then correct;For the data fusion multiple methods to detect outliers and correct after completing null judgment and correction;Construct the LSTM model and optimize the sliding window size, select the window size of the best performance indicator, use the LSTM model to correct the barometric altitude dynamically.This method has the characteristics of high precision, strong real-time, etc., improves the deficiency that the existing method can only correct the barometric altitude at a specific location, realizes the dynamic correction of barometric altitude in the whole approach process, improves the obstacle safety under low temperature conditions, at the same time, has the ability to correct the barometric altitude under high temperature conditions, and can be widely used in flight operation using barometric vertical navigation program.

The application discloses a ground-based space target monitoring radar atmospheric refraction error correction method. The ground-based space target monitoring radar atmospheric refraction error correction method comprises the following steps: based on the vertical distribution of atmospheric refraction index and the radar elevation angle measurement value, the signal propagation path is accurately recursively calculated by using the refraction theorem and geometric relationship, the corresponding elevation angle, geocentric angle and target apparent distance of different heights are calculated, and a one-to-one corresponding relationship between the apparent distance and the distance, the elevation angle measurement error is established; then, according to the radar distance measurement value, the radar distance and the elevation angle measurement error are calculated by interpolation, and finally, the distance and the elevation angle measurement error caused by the atmospheric refraction of the space target monitoring radar are corrected. The ground-based space target monitoring radar atmospheric refraction error correction method has higher error calculation precision under the condition of given layer interval, has more stable error correction performance, and can more accurately correct the atmospheric refraction error of the space target monitoring radar.

The invention relates to a weighted minimum absolute value robust state estimation method and device for a power distribution network, and the method comprises the steps: adding a slack variable to eliminate an absolute value in a target function, and obtaining a WLAV robust estimation model; based on the WLAV robust estimation model, constructing a Lagrange function corresponding to the state estimation model, and under the condition that the Lagrange function meets a preset minimum condition, performing Taylor expansion on a KKT condition of the Lagrange function to obtain a modified equation so as to obtain the state estimation model of the WLAV; and solving a robust state estimation result of the power distribution network by using a filter line search interior point method based on the state estimation model of the WLAV. Therefore, the problems of complex method model, low calculation efficiency and complex engineering application value caused by high calculation complexity and sensitive initial value in related technologies are solved.

This invention discloses a method for judging and correcting the flattening phenomenon of wind turbine blade root load, comprising the following steps: acquiring real-time blade load data under grid-connected operation of the wind turbine; judging whether the blade root oscillation load data in the real-time blade load data has a flattening phenomenon; judging whether it needs to be merged into a single flattening segment based on the interval between each flattening segment, and calculating the cumulative duration of the flattening segment; judging whether the cumulative duration is not greater than a preset cumulative duration threshold; extracting features of the normal segment located in the previous cycle of each flattening segment from the blade root oscillation load data; generating replacement loads for the flattening segment based on the features and performing segment-by-sine replacement on each flattening segment, while smoothly connecting the start and end points of the flattening segment to complete the correction of the flattening phenomenon of wind turbine blade root load. This invention corrects flattening through feature extraction and sinusoidal load generation, meeting the load testing accuracy requirements, avoiding long-term wind turbine shutdowns, and reducing power generation losses.

This invention relates to a counterweight attitude adjustment device, an aircraft attitude control system, and a control method thereof, comprising a track module, a counterweight slider module, a motor drive module, a battery module, a limiting structure, and a guide rail. The counterweight slider module can slide at high speed within the track, releasing angular kinetic energy by impacting the limiting structures at both ends of the track to correct aircraft attitude deviations. The motor drive module is powered by the battery, supporting energy recovery during the sliding process to form a closed-loop power supply system. The counterweight slider module is slidably connected to the guide rail to suppress deflection and maintain sliding stability. The limiting structure employs a combination of buffer and energy-absorbing structures to ensure efficient energy transfer and prevent structural fatigue. This invention further proposes a formula combining the attitude deviation angle and the aircraft's rotational inertia to solve for the impact velocity, achieving precise control of the attitude adjustment force. The proposed solution has advantages such as compact structure, rapid response, and strong modular versatility, and is suitable for active stabilization control of high-dynamic flight platforms such as rockets and spacecraft.

This invention provides an intelligent handwritten mathematical formula recognition and correction method, system, and medium, relating to the field of text recognition technology. The method includes: acquiring raw image data of handwritten mathematical formulas; preprocessing to obtain standardized image data; determining a structural feature matrix; identifying formula error types and patterns based on the changing trends of formula grammatical topological relationships and grammatical logic deviation coefficients over multiple recognition cycles; configuring correction confidence factors; determining the formula error level; performing graded correction feedback; and outputting a standard formula. It also drives a voice broadcast unit to provide synchronous voice correction prompts. This invention solves the technical problems of instability in handwritten mathematical formula recognition, difficulty in guaranteeing recognition and correction accuracy, and resulting in erroneous or inconsistent recognition results. It achieves a complete closed loop from image acquisition to intelligent correction of handwritten mathematical formulas, thereby improving the accuracy, stability, and correction precision of handwritten mathematical formula recognition.

The utility model relates to a semiconductor laser patch correction tool, comprising a processing table which is provided with a conveying mechanism and a displacement module. A mounting plate is longitudinally arranged at the lower end of one side of the displacement seat, sliding rails are longitudinally arranged on the two sides of the surface of the mounting plate, a movable plate is slidably arranged on the sliding rails, and the upper end of the movable plate is driven to ascend and descend through a driving electric cylinder arranged on the displacement seat; one end of the rotating shaft is fixedly connected with the center of the overturning frame, the other end of the rotating shaft is driven by a driving motor arranged on the other side of the movable plate to rotate, a dispensing machine and a hot air gun are installed at the two ends of the overturning frame respectively, and the driving motor drives the overturning frame to overturn and enables the dispensing machine and the hot air gun to conduct solder paste dispensing and hot air solder paste melting on a chip respectively. And the chip is aligned under the action of the surface tension and wetting force of the solder paste solder, so that the correction efficiency and precision are effectively improved.

The invention discloses a dielectric film testing method based on ellipsometry and ultraviolet visible spectrum mutual calibration, which comprises the following steps: firstly, fitting an ellipsometry spectrum to obtain initial values of a refractive index and an extinction coefficient, comparing with a normal extinction coefficient dispersion model, and determining an abnormal wave band; secondly, fitting the transmitted spectrum, and intercepting the refractive index and extinction coefficient of the transmitted spectrum corresponding to the abnormal wave band of the ellipsometer; then calculating a weighting factor and a translation factor, and calibrating a refractive index and an extinction coefficient of a transmission spectrum in an abnormal wave band; and finally, correcting the ellipsometric spectrum of the abnormal wave band, and re-fitting to obtain the calibrated refractive index and extinction coefficient. According to the dielectric film testing method based on ellipsometry and ultraviolet visible spectrum mutual calibration, the result of the ultraviolet visible spectrum is applied to internally mark the ellipsometry spectrum of a specific wave band, accurate fitting of the refractive index and the thickness is achieved, and therefore the dielectric film detection precision is improved.