19 results about "Instrument error" patented technology

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.

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 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 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 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.

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 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 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.

The invention discloses a tester indication error calibration device based on a standard sample, and relates to the technical field of instrument error calibration, the tester indication error calibration device comprises a main body mounting seat, a driving slide rail is fixedly connected to the outer wall of the main body mounting seat, a mechanical support is fixedly connected to the outer wall of the driving slide rail, and a test instrument is fixedly connected to the outer wall of the mechanical support. A tensioning mechanism is arranged on the outer wall of the main body mounting seat, and pretreatment mechanisms are symmetrically arranged on the outer wall of the main body mounting seat. According to the tester indicating value error calibration device based on the standard sample piece, through the arranged pretreatment mechanism, the cloth standard sample piece is subjected to repeated pre-tensioning operation before instrument indicating value error calibration work, unrecoverable plastic deformation of the cloth standard sample piece is rapidly and actively completed in a mechanical mode, and the calibration accuracy of the instrument indicating value error is improved. When the device is finally in a tensioning state and serves as an indication error calibration reference, the device is in a stable state in an instrument indication error calibration time period, so that the accuracy of error calibration precision is ensured.