28 results about "Calibration Error" patented technology

The application discloses a mechanical hand calibration and space angle measurement method suitable for a tilt camera and a robot, and comprises the following steps: controlling a mechanical hand end to move along a preset calibration plane to different positions for multiple times, recording the mechanical hand end coordinates after each movement, and identifying and recording the pixel coordinates of all calibration points on a calibration plate image shot by a camera through an image processing algorithm. According to the mechanical hand end coordinates and the pixel coordinates of all calibration points on the calibration plate, a projection transformation matrix between the mechanical hand end coordinates and the pixel coordinates of the center points of all calibration points on the calibration plate is calculated by using a least square method. The camera intrinsic parameter matrix is applied to decompose each projection transformation matrix, and the space angle between the camera imaging plane and the mechanical hand end movement plane, or the space angle between the camera imaging plane, the mechanical hand end movement plane and the calibration plate plane is calculated. The calibration process of the application is simple, the result is high in precision, and the calibration error caused by the camera installation angle can be eliminated.

The application provides a debiasing calibration method based on knowledge distillation and counterfactual reasoning. The method first identifies sentiment words and high-frequency words as core confounding variables through a structural causal modeling system. Second, a double-path counterfactual reasoning mechanism is designed to extract and quantify the prediction bias introduced by the core confounding variables in the teacher model. Finally, based on the latent outcome framework, the prediction bias is eliminated from the original output of the teacher model through mathematical operations to generate unbiased calibrated soft labels to guide the training of the student model. This method reduces the expected calibration error of the model and significantly improves the robustness, fairness and cross-domain generalization ability of the stance detection system.

This invention discloses a robust control method for robot visual servoing based on the theory of all-drive systems, belonging to the field of visual servoing for robotic arms. The steps are as follows: Taking the eye-to-hand robot visual servoing system as the research object, based on the efficient second-order minimization (EMS) method and combined with the virtual visual servoing method, the target depth and attitude parameters are estimated online to construct a high-precision image interaction matrix; utilizing the all-drive characteristics of robot joint dynamics, the image feature error is mapped to joint space error through the interaction matrix, establishing an open-loop error dynamic model of the visual servoing all-drive system; based on the theory of all-drive systems, it is transformed into a linear second-order system through nonlinear state feedback, and the state space equation is constructed; a sliding mode robust model reference tracking controller is designed. This method can maintain system stability under conditions of camera calibration error, dynamic parameter disturbance, and unmodeled dynamics coexisting, achieving high-precision, high-dynamic visual servoing tracking control.

The application provides a position calibration method and system of a mechanical arm and an electronic device. The first pose information set of a laser device in a first coordinate system when the laser device emits laser spots to a plurality of calibration points on a work plane is obtained. The first true value coordinate information set of the plurality of calibration points in a second coordinate system is obtained. The projection coordinate information set of the laser spots emitted by the laser device to the plurality of calibration points in the second coordinate system is calculated according to the first pose information set and an expected conversion relationship. The projection error is calculated according to the projection coordinate information set and the first true value coordinate information set. The expected conversion relationship is iteratively updated and the projection error is recalculated until the projection error converges. Then, the target conversion relationship from the first coordinate system to the second coordinate system is determined according to the expected conversion relationship corresponding to the projection error convergence. Thus, the non-contact calibration of the mechanical arm can be realized, and the calibration error of the mechanical arm can be reduced, and the calibration accuracy can be improved.

This invention relates to the field of medical device sensor calibration and error compensation technology, and particularly to a method for medical device sensor calibration error compensation based on electronic measuring instruments, comprising the following steps: S1, performing multi-measurement topology switching and acquiring bridge circuit signals under zero external load conditions; S2, constructing a topology response vector and identifying electrical parameters; S3, repeatedly identifying and determining compliance ratio coefficients under different constraint conditions; S4, establishing a calibration matrix; S5, online reconstruction compensation to obtain compensated measurement values; S6, reviewing residual projection and selectively updating parameters. This invention achieves differentiated compensation for bridge circuit electrical errors and mechanical errors caused by assembly preload and changes in constraint conditions.

This invention discloses a dual-axis error calibration method for phased array weather radar based on the apparent motion trajectory of the sun, comprising the following steps: Step 1, calculation of the sun pointing angle; Step 2, selection of azimuth scanning parameters based on calibration error and azimuth deviation estimation; Step 3, evaluation of elevation angle calibration accuracy based on azimuth scanning time and apparent solar motion; Step 4, sampling of solar radiation signals; Step 5, extraction of peak values ​​in pulse-by-pulse repetition cycles and acquisition of dual-axis calibration coefficients. The method disclosed in this invention can generate dual-axis error calibration coefficients for X-band phased array weather radar that simultaneously meet high timeliness and high accuracy requirements. This is of great significance for effectively improving the detection capabilities of X-band phased array weather radar in mobile and unattended field applications.

This invention discloses a method for fabricating an embedded wafer-type self-traceable grating standard sheet, belonging to the field of semiconductor manufacturing and metrology standards technology. The method includes: using a single-sided polished silicon wafer as a substrate material to obtain a first structure; performing an oxidation treatment on the first structure to form an oxide layer, obtaining a second structure; performing photolithography on the second structure and etching to remove the exposed oxide layer, forming a hard mask for etching grooves, and forming tracking mark patterns around the grooves, obtaining a third structure; performing photolithography on the third structure to etch grooves on the silicon wafer, obtaining a fourth structure; and coating the bottom of the self-traceable grating and inside the grooves with an adhesive to precisely mount the self-traceable grating within the grooves, obtaining an embedded wafer-type self-traceable grating standard sheet. This invention, using the above method, can provide a precise measurement benchmark across the entire wafer, improve measurement consistency, reduce manual calibration errors, and optimize the photolithography alignment and wafer geometry measurement process.

The present specification provides a robot calibration method, system and device. Based on the method, during specific calibration, the target operation type of a target operation can be determined first; then, according to the target operation type of the target operation, a matched target is selected from a preset target set and is respectively arranged on a first mechanical arm and a second mechanical arm as a first target and a second target; wherein the preset target set contains multiple targets with different structural shapes and provided with identification codes; according to a preset calibration rule, a calibration camera and a robot are used for calibration processing to determine the conversion relationship of the key points of a target operation instrument about the second target coordinate system and the conversion relationship of the image coordinate system of an image acquisition end about the first target coordinate system as a calibration result. Thus, the related calibration can be automatically completed accurately, efficiently and pertinently to obtain a calibration result meeting the requirements and reduce calibration errors.

This invention discloses a static calibration method for a piezoelectric force sensor. The method involves sequentially applying multiple predetermined force levels to the piezoelectric force sensor; continuously acquiring the sensor output signal after conversion by a charge amplifier during and before and after the holding phase of each force level; selecting at least four time points from the acquired output signal time series after completing one loading and unloading cycle of force levels; constructing calibration values ​​based on the output signals corresponding to the four time points; unloading the piezoelectric force sensor to a zero-load state and performing zero-point calibration after the holding phase; and establishing a calibration relationship between force and output signal based on the calibration values ​​corresponding to each predetermined force level. This method does not require modeling the charge amplifier drift mechanism and does not rely on a low-drift, high-performance charge amplifier, effectively suppressing calibration errors caused by charge amplifier drift during the holding phase, reducing calibration system costs, and improving calibration accuracy.

This application proposes an adaptive spindle unit load testing device and method. The device includes: a simulated tool connected to a machine tool spindle; a simulated specimen placed on the device's worktable, with elastic elements disposed on the surface of the specimen; a multi-dimensional force sensor disposed at the load path nodes of the spindle unit; a displacement sensor disposed at the front end of the machine tool spindle; and a control unit connected to the multi-dimensional force sensor and the displacement sensor. The technical solution proposed in this application, during spindle unit load testing, directly measures the actual force at the load path nodes through the multi-dimensional force sensor, eliminating the need for indirect calculation based on offline calibration of the elastic elements and thus eliminating calibration errors. The control unit synchronously collects force and displacement signals, offsetting the influence of elastic element characteristic changes on control accuracy, and provides real-time feedback of test data. Simultaneously, it integrates high-precision constant force loading and dynamic load simulation on the same platform, improving the constant force control accuracy of the testing device.

This invention discloses a calibration method for visual language models adapted during testing based on a single preparation. It utilizes a generative model to offline synthesize a small number of images for each category in the target domain, extracts features, and divides them into a pre-filled set and a calibration set. The pre-filled set is used to initialize positive and negative sample caches, achieving a "warm start." A lightweight probe network is trained based on the calibration set, which dynamically predicts the optimal fusion weights based on the original prediction scores and cached retrieval scores. During the testing phase, the network generates weights in real time and adaptively weights and fuses multiple predictions to obtain the calibrated prediction results. This invention requires only a one-time offline preparation, with extremely low online inference overhead. While maintaining efficient inference, it significantly reduces calibration errors, improving the reliability and security of model predictions, making it particularly suitable for real-time applications with strict confidence requirements.

This application discloses a calibration error propagation quantification method, apparatus, electronic device, and storage medium, relating to the field of extended reality technology. The method includes: acquiring at least one calibration parameter set, which includes at least one calibration parameter item of an extended reality device and calibration parameters corresponding to the calibration parameter item; determining a perturbation threshold corresponding to the calibration parameter item based on the at least one calibration parameter corresponding to the calibration parameter item; and calculating an error propagation quantification result corresponding to the calibration parameter item based on the perturbation threshold. By calculating the perturbation threshold of calibration parameter items using multiple extended reality device calibration parameter sets and calculating the error propagation quantification result corresponding to the calibration parameter items based on the perturbation threshold, the method achieves quantitative analysis of the error impact of each module in mass production, facilitating the formulation of investment costs and production requirements for each module. Calculating the perturbation threshold based on multiple calibration parameter sets improves the accuracy and rationality of the perturbation threshold.

The present application belongs to the technical field of rotorcraft testing and measurement, and relates to a rotor total pitch angle measuring device and method. The rotor total pitch angle measuring device comprises a rotor system component and a reference disc component; the rotor system component realizes synchronous pitch change of the blades at the same angle, and realizes adjustment of the rotor total pitch angle; the reference disc component constitutes a reference surface, provides a unified reference for measuring the rotor total pitch angle, and is fixedly connected with the rotating shaft of the rotor system component. The present application constructs a physical reference surface by means of the reference disc component, and has simple overall structure, low processing and using cost, and convenient assembly and construction. The present application directly measures the real rotor total pitch angle by means of the reference disc distance measurement combined with the inverse sine trigonometric function geometric conversion, avoids the calibration error caused by the non-linear factors such as assembly deviation and structural friction which are not considered in pure simulation fitting, and has higher calibration precision.

The embodiment of the present application discloses a kind of calibration methods for proportional valve, which comprises the following steps: determining proportional valve opening current according to dichotomy;Proportional valve current range is determined according to the proportional valve opening current and proportional valve limit current, wherein proportional valve opening current < proportional valve limit current;Obtain several current values and its corresponding flow values in the proportional valve current range;When the several current values and its corresponding flow values meet monotony, calibration is completed, this calibration method determines proportional valve opening current by dichotomy, overcomes the problem that calibration time is too long due to the difference between valve characteristics, and judges whether current values and its corresponding flow values meet monotony, solves the calibration error problem caused by the difference of proportional valve characteristic curve, and improves the pass rate of calibration.

The utility model discloses a kind of coplanar multi-insert block type multidimensional information calibration module, including rigid coplanar frame and replaceable insert block, characterized by: rigid coplanar frame is made of hard material, coplanarity is ≤0.2mm / 200mm;Replaceable insert block is connected with frame by one of dovetail, elastic sheet, magnetic attraction three connection modes, pull-out force is 5-15N;Frame edge is provided with V-shaped or sawtooth light trap cavity, reflectivity is less than 5% after surface blackening treatment;Frame bottom surface is provided with magnetic attraction dot matrix, interval 20-40mm, N / S pole grouping is positioned with bracket dowel / hole cooperation Anti-slip, the utility model aims at significantly reducing ambient light interference and calibration error simultaneously, effectively solve the problem that traditional calibration board is single, easy to reflect light, butt joint is not unified and operation is inefficient, with significant technical progress and practical value.

This invention provides a calibration method, control chip, and calibration system for a temperature-compensated crystal oscillator. The method includes: setting multiple calibration temperature values ​​and initial values ​​for multi-order coefficients; acquiring the initial frequency of the temperature-compensated crystal oscillator at different temperatures, comparing the initial frequency with a benchmark oscillation frequency to determine an initial deviation ε; changing the values ​​of each order calibration coefficient to acquire the output frequency at different temperatures, and comparing the output frequency with the initial frequency to determine the unit change J of each order coefficient. ni The elements of the correlation matrix J are used to determine the calibration error relationship. The calibration error relationship is constructed based on the correlation matrix J, the initial deviation ε, the correction amounts ΔB for each order of coefficients to be solved, and the residual deviation Ø after calibration. The optimal correction amounts ΔB for each order of calibration coefficients are obtained by minimizing the range of the residual deviation Ø, i.e., the difference between the maximum and minimum values. This invention can effectively improve the calibration accuracy of TCXO.

An evolutionary compensation method for a spindle rotation error of a CNC grinding machine is provided. Feature points are determined at an edge of a central hole of a spindle of a CNC grinding machine, and a spindle rotation error in-situ measuring device is fixed on the grinding machine and aligned with the edge of the central hole; a trajectory image of the feature points is acquired by using the measuring device; a measured value of the spindle rotation error is obtained according to the trajectory image; features of the spindle rotation error are fused with the measured value of the spindle rotation error, a spindle rotation error compensation model is established, to output a spindle rotation error compensation value, thereby compensating the spindle rotation error. By continuously calibrating the error model using the measured value, accuracy of the error model has been continuously optimized.

This invention relates to the field of gas analyzer calibration technology, specifically to a method for reducing calibration errors. The method includes collecting historical calibration data and current environmental parameters using a calibration error reduction device to construct a dataset. The calibration error reduction device includes an integrated probe, an environmental simulation section, and an analysis section. The integrated probe is entirely housed within the environmental simulation section. A machine learning model is trained using the dataset to obtain a parameter recommendation model that correlates parameters with calibration effectiveness. Based on the parameter recommendation model, calibration gas is input into the environmental simulation section, and the internal and external pressure values ​​of the environmental simulation section are measured. Based on these pressure values, automatic zero-point calibration, CO2 multi-parameter collaborative calibration across a range, H2O cross-validation range calibration, and operational verification are performed sequentially. This invention solves the technical problem of significant calibration errors caused by large differences in the operating environment between traditional calibration processes and actual measurement processes.

The present application relates to the field of liquid sample detection, and specifically provides a liquid sample water content detection method and device based on an energy absorption sensor. The method comprises: preprocessing multi-modal original radio frequency signals collected by the energy absorption sensor to obtain target filtered signals; converting the target filtered signals of different modalities into target corrected signals according to a preset error compensation model; wherein the preset error compensation model at least includes one of the following: flow rate-response lag compensation, bubble interference compensation, emulsion layer interference compensation, and sensor calibration error compensation; performing weighted summation on the target corrected signals of different modalities to obtain a fusion target signal; determining the average signal intensity decay rate in each sampling period based on the fusion target signal to obtain an average signal intensity decay rate sequence, and converting it into a liquid sample water content sequence according to a preset conversion relationship. The technical scheme provided by the present application improves the accuracy of liquid sample water content detection.

This application relates to the field of data processing technology, and discloses a calibration method, calibration device, electronic device, medium, and program product. The method includes: acquiring an image of the object to be tested under a microscope and the microscope's configuration information; identifying the target object in the image; measuring the target features of the target object to obtain measured values; comparing the measured values ​​of the target object with standard values ​​of the target object to obtain comparison results; determining the scale calibration error based on the comparison results; and generating and outputting a first prompt message if the scale calibration error exceeds an error threshold, wherein the first prompt message includes at least one correct configuration information. The configuration information can then be adjusted to improve measurement accuracy. Furthermore, it can be automatically triggered before each experiment or during image analysis, providing real-time prompts to the user to prevent analysis based on erroneous data, thereby improving the stability and reliability of the measurement results.

The invention discloses temperature instrument error calibration equipment, and relates to the technical field of temperature instrument production equipment, the temperature instrument error calibration equipment comprises a workbench and two conveying frames fixedly connected to the top of the workbench, one side of each conveying frame is fixedly connected with a fixed seat, and the top of each fixed seat is provided with a clamping assembly. Through cooperation of parts such as the conveying belt and the intermittent conveying belt and the limiting check block structure, batch stable conveying of temperature instruments is achieved, the instruments are prevented from deviating and toppling over, the calibration efficiency and continuity are improved, meanwhile, the electric push rod drives the multiple sets of heating blocks to tightly hold the temperature sensing head, the heating faces are tightly attached, heat clearance loss is reduced, and the calibration precision is improved. Temperature transmission is uniform and stable, calibration errors are greatly reduced, PLC precise temperature control and camera real-time detection are matched, automatic error identification and positioning calibration of the temperature instrument are achieved, the detection precision is high, the subsequent marking procedure is convenient to join, and the overall automation degree is high.

This invention relates to the field of robotics, and more particularly to a method, apparatus, electronic device, and readable storage medium for robot kinematic calibration. The method involves acquiring joint angle data of at least two kinematic chains of a robot to be calibrated, as well as observed pose data of a target calibration object. Based on the joint angle data and a pre-constructed kinematic model, the predicted pose of the target calibration object for each kinematic chain is determined. An optimization objective function is constructed based on the residual between the predicted target calibration object pose and the observed pose data, with the robot's pose in the base coordinate system added as an optimization variable to the objective function. The optimization objective function is solved to obtain the calibration error parameters of each joint and the pose of the target calibration object in the robot's base coordinate system, which are then used as the kinematic calibration results. By using the calibration error parameters of common joints as shared variables and simultaneously solving for the pose in the robot's base coordinate system as an optimization variable, the accuracy of robot kinematic calibration is improved.

A kind of laser calibration method and system of calibration-free object, including actuator and laser, the laser is rigidly fixed at the end of actuator, and the calibration method includes the following steps: setting mark point A;Move laser, so that the laser point projected by laser falls to mark point A;Translate laser, keep the laser point projected by laser after translation still falls in mark point A;Fitting the direction of laser projection direction in the first coordinate system;Obtain the direction of laser projection direction in the end coordinate system of actuator;The calibration method provided by the application, without special calibration object, quickly and directly calibrates the relationship of laser and flange, easy to operate, and calibration error is small.

The application discloses a wireless low-power sensor calibration method, and belongs to the technical field of sensor calibration, and the technical scheme is as follows: in the method, a sampling period is used to collect a power supply voltage, an on-chip temperature and a sensor measurement value, a difference between a current measurement value and a time window average value is calculated as a residual error, and an electricity level is divided according to a preset voltage threshold; an environmental change rate and a drift trend are calculated according to a temperature difference between adjacent periods, a voltage short-time fluctuation, a residual error mean value and a residual error variance, and a current state is divided into different drift risk levels; energy consumption and calibration error of multiple calibration configurations are determined, energy and error double-target optimization is carried out, a calibration strategy table is generated, the calibration strategy table is indexed by an electricity level and a drift risk level, and outputs a calibration mode and an algorithm complexity; a target calibration strategy is inquired in the strategy table according to a current electricity level and a drift risk level, a calibration trigger time, a sampling number and an algorithm iteration number are determined, and updated sensor calibration parameters are obtained and written.

This invention relates to the field of antenna calibration technology, and specifically to a method and system for error compensation in the calibration of rain-measuring radar antennas. The method includes: acquiring antenna module interface displacement data, antenna thermal cycling recording data, and calibration reference source response data; performing structural memory effect error assessment based on the antenna module interface displacement data and the antenna thermal cycling recording data; performing electrical performance error assessment based on the calibration reference source response data; performing coupling error matching analysis to obtain a comprehensive calibration error matching value; and providing calibration status prompts based on the comprehensive calibration error matching value. This invention solves the problem of calibration benchmark inaccuracy caused by the coupling of disassembly / reassembly history and thermal memory effect in portable rain-measuring radars in the prior art.

A method for continuous calibration of traffic scenes without field testing includes: acquiring traffic scene images; extracting geometric prior features from the images, whereby the geometric prior features characterize points on the distortion curve in the traffic scene images; defining an error function and optimizing distortion parameters based on the error function, whereby the distortion parameters characterize the geometric offset in the image caused by lens distortion, including radial distortion parameters and tangential distortion parameters; performing orthogonal processing on the acquired images using a nonlinear optimization algorithm based on the optimal distortion parameters; extracting coplanar ground feature points from the orthogonalized images and solving for camera extrinsic parameters, including rotation matrices and translation vectors, based on their corresponding world coordinate system positions; evaluating the calibration error distribution based on simulation or real-world scene data, dynamically adjusting distortion model parameters or optimization strategies, and triggering online parameter updates when pose deviations exceed a threshold. This method simplifies the calibration process and improves calibration efficiency.

This disclosure provides a calibration model training method and control method based on the lateral and longitudinal coupling relationship of a vehicle, which can be applied to the field of autonomous driving technology. The training method includes: acquiring a training sample dataset; training a feature extraction network and a calibration network group using the training sample dataset to obtain a target feature extraction network and a target calibration network group; training a calibration error network using the training sample dataset to obtain a target calibration error network, which is used to output the predicted control command error based on the coupling relationship between longitudinal acceleration and lateral front wheel steering angle; and obtaining a calibration model based on the target feature extraction network, the target calibration network group, and the target calibration error network. This disclosure does not focus on the tracking control algorithm itself, but only calibrates the relationship between the algorithm's output and the vehicle's execution, and considers the lateral and longitudinal coupling relationship during calibration.

This invention discloses a near-field RCS measurement calibration method based on scattering center topological mismatch compensation. Addressing the systematic error problem introduced by the mismatch between the distributed scattering characteristics of the complex target and the ideal point source calibration body when using traditional metal sphere calibration, a physical model of calibration error incorporating near-field spherical wave effects is established. The method preprocesses data by extracting scattering centers and removing outliers, generates a global initial search point set using feature analysis of the error function sensitivity tensor, and performs local precise optimization using an improved parallel LM algorithm. Finally, it obtains the optimal spatial position parameters of the target that minimize measurement error. This method effectively compensates for RCS amplitude oscillations and phase distortion caused by phase center mismatch, reducing the root mean square error (RMSE) of RCS measurements for complex targets such as ship hulls from approximately 15% to below 5% in the Ka-band, significantly improving the accuracy and reliability of electromagnetic scattering characteristic measurements in the field and anechoic chamber.