31 results about "Instrument error" patented technology

The invention discloses a blasting vibration test-based rock mass wave velocity field measurement method, which is applied to a blasting operation area, is consistent with a tunnel blasting propulsion direction, does not need to independently open up a test area, and can obtain rock mass vibration data of a measurement point corresponding to a vibration measurement instrument after blasting only by arranging the vibration measurement instrument on an excavated tunnel bottom plate. According to the method, the rock mass average wave velocity can be rapidly and accurately calculated by combining the pre-measured error time of the vibration measurement instrument, the limitation of the arrangement distance of the vibration measurement instrument is broken through, the measurement range is remarkably expanded, the cost and difficulty of rock mass wave velocity measurement are effectively reduced, wave velocity measurement is completed under the condition that the original property of the rock mass is kept, and the rock mass average wave velocity is calculated. The actual rock mass condition of the blasting construction area is fed back in time, high adaptability to different rock mass properties is achieved, a scientific basis is provided for engineering design and construction, and safety and efficiency of construction are guaranteed.

The invention relates to the technical field of instrument error monitoring, and discloses an environment monitoring instrument tendency error analysis system which comprises a multi-dimensional acquisition module and an intelligent analysis module. According to the tendentiousness error analysis system for the temperature-salinity-depth instrument, conductivity data, temperature data and water depth data of a measured water body are obtained through a multi-dimensional acquisition module and classified to form a data set, an intelligent analysis module analyzes time differences among different physical parameters, generates a time difference data set, analyzes fluctuation ranges of the different physical parameters, generates a fluctuation data set, and analyzes the tendentiousness error of the temperature-salinity-depth instrument. The intelligent analysis module analyzes the authenticity of each measurement result, generates a credibility index, dynamically evaluates the credibility of single measurement, can adapt to the monitoring requirements of more complex environments, accurately diagnoses error sources, sets a threshold value of a fixed range, and can accurately diagnose the error sources; the influence factors causing the tendency error of the thermohaline depth gauge and the authenticity of the measurement result are evaluated, corresponding management suggestions are output, and the automatic operation and maintenance support practicability is high.

The invention discloses a robot calibration method for spine endoscopic surgery, which comprises the following steps: S1, optical marking points are pasted on the skin or bony structure of a patient, the skin marking is used for fixing a reflective ball by using a medical adhesive tape, the bony marking is percutaneously implanted into a spinous process or crista iliaca through a titanium alloy bone nail, and at least six marking points are needed. According to the method, minimally invasive property and stability are both considered through a double marking strategy, six points cover three vertebral bodies to ensure the integrity of an anatomical range, registration errors caused by breathing / body position changes are reduced, meanwhile, non-rigid registration is combined with a B spline grid (10 mm) to consider calculation efficiency and spine physiological curvature adaptability, high-precision surface reconstruction is achieved through a Marching Cubes algorithm, and the method has the advantages of being high in precision and high in precision. An error suppression mechanism is formed by + / -0.25 mm precision and redundancy measurement (five times of sampling) of the optical tracking system, registration robustness is improved through SVD and ICP double-algorithm complementation, multi-constraint path planning is achieved through an A * algorithm and Monte Carlo simulation, and a 4 mm safety corridor provides a buffer space for instrument errors.

The invention relates to a calibration model establishment method and device, equipment, a medium and an instrument calibration method. The calibration model establishment method comprises the steps of obtaining a preset calibration point sequence corresponding to a target instrument; the preset calibration point sequence comprises a plurality of target calibration points, needing to be calibrated, of the target instrument; under the condition that the target instrument error corresponding to each target calibration point is smaller than a preset error threshold value, determining a target calibration information sequence; establishing a target calibration model based on the target calibration information sequence; the target calibration model is used for determining a calibration input value corresponding to a target output value under the condition that the target output value is given. According to the instrument calibration method and device, the optimal calibration point sequence of the instrument to be calibrated is determined in advance, the target calibration model is established based on the optimal calibration point sequence and used for determining the calibration input value corresponding to the given target output value, efficient and high-precision instrument calibration is achieved, and calibration time can be shortened when the instruments are calibrated in batches.

The invention discloses a product measurement method based on prior information and considering production errors and instrument errors. The prior information-based product measurement method considering the production error and the instrument error comprises the steps of performing batch detection on parameters of products, checking deviation conditions of all measurement parameter values of all the products relative to standard values, performing multiple times of sampling on each product in the process of performing batch detection on the parameters of the products, and determining the measurement parameters of all the products; enabling each product to correspond to a plurality of measurement parameter values; setting an assumed value of confidence; and determining an interval of the qualified product under the condition of the assumed value of the confidence degree based on the plurality of measurement parameter values of the single product and the assumed value of the confidence degree.

This prevents incorrect correction values ​​from being set when using a radiation thermometer on a substrate processing device to control the temperature of a wafer. [Solution] The management device includes a registration unit that registers a correction table in which the instrument error data of each radiation temperature measuring instrument relative to a reference radiation temperature measuring instrument and information identifying each radiation temperature measuring instrument are associated, and a transmission unit that, when it receives a request for a correction table including information identifying the specific radiation temperature measuring instrument from a substrate processing device to which a specific radiation temperature measuring instrument is attached, transmits a correction table corresponding to the information identifying the specific radiation temperature measuring instrument to the requesting substrate processing device.

The invention discloses a casing damage risk prediction method based on natural potential baseline offset amplitude, relates to the technical field of oil and gas field development well logging interpretation and stratum safety protection, and aims to obtain natural potential well logging curve data, identify a natural potential baseline offset phenomenon, analyze offset reasons and predict casing damage risks. Distinguishing contributions of diffusion adsorption potential and filtering potential to natural potential baseline offset, establishing a natural potential baseline offset amplitude prediction model, fitting model parameters according to experimental data, establishing a quantitative relationship among the offset amplitude, pressure difference and fluid resistivity, and combining well completion time to determine the natural potential baseline offset amplitude. According to the method, an exponential relation model between the natural potential baseline offset amplitude and the casing damage risk is established, the flooding degree and the casing damage risk level are judged according to the offset amplitude, quantitative prediction and early warning of the casing damage risk are achieved, and the method is not sensitive to factors such as stratum lithology, porosity and instrument errors, has high stability and high adaptability and is suitable for popularization and application. And the method can be widely applied to safety production and reservoir protection of low-permeability oil fields.

A kind of optical fiber gyro inertial platform gyro installation error angle test and compensation method, for testing optical fiber gyro platform optical fiber gyro is installed in platform body after the installation error angle relative to hexahedral coordinate system, using based on instrument installation and instrument error model, error coefficient calibration when gyro installation error is coupled with ground speed in gyroscope output, so as to influence the true value of the calibration result of instrument error coefficient, calibration is carried out in different azimuth, and the ground speed coupled with gyro installation error is different, so the calibration results of four orthogonal azimuths are combined, to realize the gyro installation error angle solution in analytical way.The gyro installation error angle obtained is compensated to error model, to solve the test problem of high-precision optical fiber gyro platform gyro precision.

The invention provides a mass-source sounding data instrument correction method based on a large-scale nautical chart, and belongs to the technical field of marine surveying and mapping. Comprises: inputting geographic coordinates of a current position of a ship; finding out a sea chart with the maximum scale containing the position; according to a Mercator projection positive solution formula, calculating on-chart coordinates of the current position of the ship on the nautical chart; the method comprises the following steps: constructing a sea chart water depth triangulation network, and calculating sea chart load water depth at a position on a chart; continuously observing and recording seawater depth values at different moments by using a shipborne acoustic depth finder; synchronously calculating tide values at corresponding moments by using a sea chart tide table; according to the seawater depth values at different moments and the corresponding tide values, the actually measured static water depth is solved; and constructing an error correction model of the crowd-source sounding data instrument according to the sea graph-borne water depth and the actually measured static water depth at the current position of the ship. According to the method, the defect that an existing many-source sounding method lacks instrument system error correction is overcome, the influence of instrument system errors is weakened, and the precision of many-source sounding data is improved.

This invention relates to printing deviation analysis technology to address the problem that printing deviation analysis systems are prone to printing failures and defective products due to instrument errors or external interference. Specifically, it is a deviation analysis and detection system based on a non-leveling base plate printing technology. In this invention, the printer's Z-axis is adjusted by multi-point sampling and spatial modeling of the base plate. The adjusted Z-axis is then tested for height changes during no-load testing, avoiding the complex process of base plate adjustment and further improving the accuracy of base plate tilt detection. If height changes are observed during no-load testing, the printer undergoes a second inspection. Unreasonable data is eliminated through data rationality analysis. By fitting the semi-finished product printed during operation with the original printout, printing deviations can be detected promptly during the printing process, reducing material waste.

The present application relates to the technical field of analytical instrument error compensation, and discloses a liquid analytical instrument calibration error correction method based on multi-parameter linkage, comprising the following steps: firstly, synchronously collecting original measurement signals of a liquid analytical instrument at a current time, environmental auxiliary parameters reflecting liquid cross interference, and instrument hardware state parameters reflecting aging of underlying hardware of the liquid analytical instrument; then, extracting time sequence statistical features from the original measurement signals, and splicing the time sequence statistical features, the environmental auxiliary parameters, and the instrument hardware state parameters. By synchronously collecting the original measurement signals, the environmental auxiliary parameters, and the instrument hardware state parameters of the liquid analytical instrument, the comprehensiveness and accuracy of multi-parameter linkage state representation are improved from the source, and through a model self-adaptive updating mechanism, the instrument can realize long-term dynamic error self-adaptive compensation in the whole life cycle by relying on only a small amount of field calibration data.

A highly reliable, large-range tipping bucket rain gauge sensor with oblique water injection and an error offsetting method are disclosed, belonging to the category of tipping bucket rain gauge sensors. It includes a metering tipping bucket assembly and two guide channels, respectively located above the left and right bucket chambers. The tipping bucket rain gauge sensor employs an oblique water injection method with a reversing channel or bidirectional guide channels. In this oblique water injection method, rainwater is injected into the end or middle region of the tipping bucket chamber through the reversing channel or guide channels. In this region, a dynamic additional impact torque ∆Mc and a dynamic potential torque ∆Ms, positively correlated with rainfall intensity, are generated, causing the tipping bucket to tip prematurely, thereby reducing the drainage volume. The dynamic reduction ∆Vp offsets the instrument error ∆Vx; this generates a measurement error offsetting method, significantly reducing measurement errors. This invention is applicable to various tipping buckets with different sensitivity and large / small deflection angles, effectively improving measurement accuracy and instrument reliability while greatly expanding the rainfall intensity range.

The application relates to the technical field of instrument error monitoring, and discloses an environmental monitoring instrument tendency error analysis system which comprises a multidimensional acquisition module and an intelligent analysis module. The thermosalinograph tendency error analysis system obtains the conductivity data, temperature data and water depth data of a measured water body through the multidimensional acquisition module, classifies and forms a data set, the intelligent analysis module analyzes the time difference between different physical parameters, generates a time difference data set, analyzes the fluctuation range of different physical parameters, generates a fluctuation data set, quickly locates the measurement deviation, the intelligent analysis module analyzes the authenticity of each measurement result, generates a credibility index, dynamically evaluates the credibility of single measurement, can adapt to the monitoring requirements of more complex environments, accurately diagnoses the error source, the intelligent analysis module sets a fixed range threshold, evaluates the influence factors leading to the thermosalinograph tendency error and the authenticity of the measurement result, and outputs corresponding management suggestions, and the automatic operation and maintenance has high practicability.

The invention discloses a multi-axis combined rotary table laser non-contact dynamic calibration system and method, the system comprises a laser emitter assembly, an air floating vibration isolation table, a holographic receiving screen, a light spot collecting and processing device and a spatial position measuring device, and the calibration method comprises the method steps of S1 to S11. The multi-degree-of-freedom motion parameters of the multi-axis combined rotary table are obtained through dynamic measurement and fed back to the multi-axis combined rotary table control system, the deviation between the multi-degree-of-freedom motion parameters and the target parameters serves as a closed-loop feedback correction value, the control precision of the multi-axis combined rotary table is corrected, and laser non-contact dynamic calibration of the multi-axis combined rotary table is achieved. The method is matched with a system comprehensive error compensation method, initial system comprehensive errors formed by light spot centroid positioning errors, human vision errors of target point measurement by an instrument, instrument errors and the like are separated, the calculation precision of multi-axis coupling errors is improved, and the multi-axis cooperative calibration capability is improved.

The invention relates to the technical field of optical system polarization, in particular to a polarization precision coupling influence evaluation method and device for an optical polarization detection system, and the method comprises the steps: firstly constructing a polarization modulation unit model and an optical imaging module of the optical polarization detection system based on a polarization modulation scheme of the polarization detection system; and then instrument error parameters in the polarization modulation unit model and imaging aberration of the optical imaging module are obtained. And determining a polarization modulation matrix according to the polarization modulation scheme and the polarization modulation unit model, and modulating incident light by using the matrix to obtain image space light intensity distribution under different modulation periods. The coupling influence of aberration of an optical imaging module and instrument errors is considered, a polarization measurement result of the system is calculated by combining image space light intensity distribution and a polarization modulation matrix, a polarization measurement error is obtained based on the polarization measurement result and the real polarization state of incident light, and the polarization precision is evaluated according to the polarization measurement error. The process provides an important basis for performance evaluation and optimization of the optical polarization detection system.

The application discloses a ground-layer adaptive optical system error analysis method, and relates to the technical field of astronomical telescopes adaptive optics, which is characterized in that: a first structure function of residual wavefront generated by un-compensated atmospheric turbulence error is calculated; a second structure function of residual wavefront generated by instrument error of the ground-layer adaptive optical system is calculated; the first structure function and the second structure function are linearly superposed to obtain a total performance structure function of the ground-layer adaptive optical system; a long-exposure optical transfer function is calculated according to the total performance structure function, and Fourier transform is performed on the long-exposure optical transfer function to obtain a point spread function of the ground-layer adaptive optical system; wherein the point spread function is used for analyzing error and performance of the ground-layer adaptive optical system.

The invention discloses a steel-concrete combined box girder corrugated steel web space positioning method and device. The method comprises the steps of total station deviation correction, reserved settlement and deflection value calculation, corrugated steel web geometrical shape inspection and corrugated steel web space position positioning. According to the method, the deviation of the collimation axis and the distance measuring axis of the total station is accurately corrected, so that the influence of instrument errors on positioning is effectively eliminated, the precision of spatial positioning is further improved, and the requirement of bridge construction on high-precision positioning of the steel web is met; secondly, the geometric surface of the steel web is accurately measured by adopting a three-dimensional laser scanning technology before positioning, so that the deformation problem of the steel web can be found in time, and the mounting quality of the steel web is inspected again in a four-point lofting and one-point inspection mode after positioning, so that the mounting quality of the steel web is doubly guaranteed; the whole positioning method is easy and convenient to operate and clear in process, the steel web installation time can be effectively shortened, and the construction efficiency is improved.

The invention relates to a management apparatus, a substrate processing apparatus, and a computer program product for preventing setting of an erroneous correction value when temperature control of a wafer is performed by mounting a radiation temperature measurer on the substrate processing apparatus. The management device includes: a registration unit that registers a correction table that associates instrument error data of each radiation temperature measurer with information for identifying each radiation temperature measurer with respect to a reference radiation temperature measurer; and a transmission unit that transmits a correction table to the substrate processing apparatus when a request for transmission of the correction table including information for identifying a specific radiation temperature meter is received from the substrate processing apparatus on which the specific radiation temperature meter is mounted. And transmitting a correction table corresponding to the information for identifying the specific radiation temperature measurer to the substrate processing device of the requester.

This invention discloses an error analysis method for a surface-level adaptive optics system, relating to the field of adaptive optics technology for astronomical telescopes. The key technical points are: calculating the first structure function of the residual wavefront generated by uncompensated atmospheric turbulence errors; calculating the second structure function of the residual wavefront generated by instrument errors in the surface-level adaptive optics system; linearly superimposing the first and second structure functions to obtain the overall performance structure function of the surface-level adaptive optics system; calculating the long-exposure optical transfer function based on the overall performance structure function, and performing a Fourier transform on the long-exposure optical transfer function to obtain the point spread function of the surface-level adaptive optics system; wherein, the point spread function is used to analyze the errors and performance of the surface-level adaptive optics system.

This invention relates to a dual-local-oscillator submillimeter-wave superconducting detection system. The system includes a first local oscillator source, a second local oscillator source, a first coupler, a second coupler, a housing, a superconducting mixer, a signal amplifier, and an intermediate-to-back-end processing system. Two local oscillator signals, generated by the first and second local oscillators, enter the housing through designated signal windows and are coupled by the first coupler to obtain dual-local-oscillator output signals. The detected signal enters the housing through a designated signal window and undergoes secondary coupling with the dual-local-oscillator output signals. The signals after the two couplings converge at the feed of the superconducting mixer, are mixed by the superconducting mixer, and output as an intermediate-frequency (IF) signal. This IF signal is then processed by the signal amplifier and output to the IF back-end processing system, completing the detection of the submillimeter-wave signal. Compared with existing technologies, this invention effectively avoids problems such as pointing, calibration, and instrument errors caused by discrete observations, and helps to achieve high-quality, wide-range spectral line observations.

The present invention provides a gyroscope drift error compensation method and device, which can be applied to the field of inertial instrument error identification. The method includes: while the gyroscope is under closed-loop control, switching between a force balance mode and a full-angle mode to obtain the gyroscope's precession angle and an initial precession angular rate corresponding to the precession angle; processing the precession angle and initial precession angular rate using a particle swarm algorithm to obtain an optimal drift error parameter; and compensating the initial precession angular rate based on the optimal drift error parameter to obtain a target precession angular rate. By switching between the force balance mode and the full-angle mode, drift error parameters for both periodic and non-periodic drift can be determined without relying on a turntable or virtual force injection, effectively overcoming calibration errors caused by mechanical vibration and coupling interference. Furthermore, by using a particle swarm algorithm to perform a global search for the drift error parameter, the optimal drift error parameter can be identified without estimating an initial value.

The application discloses a kind of multi-axis combination rotary table laser non-contact dynamic calibration system and method, system includes laser transmitter component, air floatation vibration isolation platform, holographic receiving screen, light spot acquisition processing device and spatial position measuring device, calibration method includes the method steps of S1-S11.The multi-degree-of-freedom motion parameter of multi-axis combination rotary table is obtained by dynamic measurement, is fed back to multi-axis combination rotary table control system, and the deviation of target parameter is used as closed-loop feedback correction value, and the control precision of multi-axis combination rotary table is corrected, and multi-axis combination rotary table laser non-contact dynamic calibration is realized.The initial system comprehensive error constituted by light spot centroid positioning error, artificial visual error of target point measurement by instrument, and instrument error etc.is separated out by the comprehensive error compensation method of the application system, the solving precision of multi-axis coupling error is improved, and multi-axis collaborative calibration capability is improved.

The present invention provides a data processing method for a non-detachable self-contained temperature, salinity, and depth instrument, belonging to the field of electronic digital data processing technology. The method first collects and preprocesses raw data, then uses a variety of mathematical analysis methods to identify instrument errors, correlation errors, drift errors, and environmental interference errors. The intercorrelations between the errors are calculated and an error correlation matrix is ​​constructed. The entropy weight method is used to determine the compensation weights for each error, and targeted corrections are performed using polynomial equations, linear regression equations, Kalman filtering, and temperature gradient compensation equations. Furthermore, a CTSD-NET neural network model is constructed to comprehensively compensate for environmental interference errors. Model parameters are optimized through variable-length window data sampling and cross-validation, and the compensation effect is evaluated to determine the optimal error compensation model. This method achieves high-precision identification and compensation for multiple composite errors in the non-detachable self-contained temperature, salinity, and depth instrument, ensuring the accuracy and reliability of ocean observation data.

The invention relates to an error analysis method for a pointer type cabin simulation instrument, which comprises the following steps of: analyzing a generation mechanism of an instrument error in a production and use process of the pointer type cabin simulation instrument, and determining a plurality of error influence factors; carrying out error analysis on the pointer type cabin simulation instrument, and obtaining test data of error influence factors; the weight of each error influence factor is analyzed and obtained according to test data by using an entropy method, and parameter matching is optimized according to the error influence factor with the maximum weight. According to the method, factors influencing the overall precision and stability of the pointer type cabin simulation instrument can be accurately analyzed, and parameter matching optimization of the instrument is guided.

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 big data processing technology, specifically to a fast adaptive method for industrial instrument error models in data-scarce scenarios. The method includes steps such as S1 meta-task generation, S2 meta-training, and S3 fast adaptation. This invention's fast adaptive method for industrial instrument error models in data-scarce scenarios constructs a real task pool covering multiple operating conditions using actual laboratory testing data, and optimizes global initialization parameters using a model-independent meta-learning framework. This allows the model to complete high-precision personalized modeling within a few gradient updates using only 1-3 field calibration points of newly installed instruments, completely overcoming the problems of large data requirements, long cycles, and cold starts for new instruments inherent in traditional methods.

The invention discloses a difference correction method for deformation monitoring data, which comprises the following steps of: distance difference correction: calculating a meteorological correction coefficient by utilizing the difference between a known slope distance and an actually measured slope distance between reference points, and correcting a distance measurement value of a deformation point; ball gas difference correction: solving a ball gas difference correction coefficient according to the difference between the known height difference between the reference points and the actually measured triangular height difference to correct the triangular height difference of the deformation points; azimuth angle difference correction: taking the initial azimuth angle of the reference point as a reference, calculating azimuth angle deviation of each period for correcting the azimuth angle measurement value of the deformation point; and calculating the three-dimensional coordinates of the deformation point after data correction through the corrected distance measurement value of the deformation point, the triangular height difference of the deformation point and the azimuth angle measurement value of the deformation point. According to the invention, through multi-dimensional differential correction, meteorological, instrument errors and atmospheric refraction influences are eliminated, so that the monitoring precision is improved, and the accuracy of engineering construction data and the construction safety can be improved.

The invention provides a two-step quality control method for raindrop spectrum data of a DSG1 type rainfall phenomenon instrument, relates to the technical field of meteorological observation data processing, and aims to solve the problems that original raindrop spectrum data is poor in quality due to interference of non-rainfall particles, instrument errors and special weather, and an existing control method is insufficient in adaptability. The method comprises the following steps: S1, data acquisition: switching seasons by adopting a dual-mode rain gauge, and screening effective data of which the hourly rain intensity is greater than or equal to 0.1 mm of the rain gauge; s2, data preprocessing: rejecting suspected data through triple screening of particle number, particle size range and rain intensity deviation; s3, performing quality control by a double-speed threshold method, dynamically selecting optimal positive and negative thresholds, and removing speed feature abnormal data; and S4, quality evaluation: taking rain gauge data as a true value, verifying an effect through a correlation coefficient and a relative error, and supplementing false data processing in strong wind and snowfall weather. The method is high in universality, and reliable data support can be provided for rainfall microphysical research and numerical weather forecast.

The application discloses a kind of bundle jumper's off-axis measurement device and method.The device includes beam quality analyzer, assembler and guide rail;The assembler has with bundle jumper light outlet end sleeve pipe matching assembly interface, the assembler is matched with guide rail, so that the assembly interface axial with guide rail parallel, and the bundle jumper of assembly in the assembly interface its light outlet end sleeve pipe central axis with guide rail parallel;The beam quality analyzer, its detection surface is perpendicular to guide rail;The beam quality analyzer and assembler move along guide rail, change the distance between them.The bundle jumper's off-axis measurement method provided by the application uses single optical fiber as test item, avoids the instrument error caused by the fact that the beam quality analyzer exceeds the linear response range due to the fact that the total optical test optical power is too large, further reduces measurement error, saves labor and time cost.

The invention discloses a gradiometer error estimation and compensation method and a gradiometer error estimation and compensation system based on physical attribute constraint, which are used for solving the problem that an existing motion error model parameter is usually determined by minimizing a standard deviation or a variance of a difference value between model output and instrument output, so that overfitting is easily caused. According to the technical scheme, constraint conditions are generated on the basis of physical attributes of an instrument and fused into a target function, so that estimated motion error model parameters approach actual error parameters of the instrument, and the over-fitting phenomenon is effectively relieved or eliminated. In addition, according to the technical scheme, the input and output of the motion error model are multiplied by the carrier waves at the same time, and the demodulated motion error model is obtained. Motion error deduction can be carried out before orthogonal demodulation and can also be completed after demodulation, so that an instrument system can dynamically adjust an error compensation strategy in different application scenes, and more flexible and accurate error compensation is realized.