274results about How to "Accurate Calibration" patented technology

The invention relates to a response characteristic calibration method, device and equipment of logging equipment and a storage medium. The method comprises the following steps: carrying out two-parameter response modeling on key parameters of logging equipment, and constructing a pressure-fluidity coupling response model; data acquisition parameters and signal filtering parameters of logging equipment are configured in a partitioned manner, and a multi-layer response parameter set is established. And processing the logging pressure and fluidity data sequence to obtain a logging data deviation characteristic spectrum and a response anomaly type matrix. And performing multi-target parameter optimization calculation on different layers of response parameter sets to generate a layered calibration parameter sequence. The layered calibration parameter sequence is analyzed, response benchmark analysis, response gain analysis and response compensation analysis are achieved, and a multi-layer response calibration instruction is obtained. And the calibration instruction is subjected to a comparison test under three working conditions, and a pressure-fluidity two-parameter calibration curve is generated. According to the method, accurate calibration of the logging equipment under various working conditions is realized, and the reliability of a calibration result is ensured.

The invention relates to the technical field of carbon emission accounting, and particularly discloses a carbon emission calculation method and system for railway infrastructure construction, and the method comprises the steps: firstly, calling basic data of a railway infrastructure from a background database and corresponding carbon emission which is verified to be real to construct a reference sample set; and carrying out embedded coding and dynamic semantic search on the basic data of the to-be-verified railway infrastructure uploaded by the user and each reference sample by adopting a data processing technology based on deep learning, so as to query response information based on the semantic query between the to-be-verified basic data and each reference sample. And the reasonable carbon emission amount of the railway infrastructure to be verified is intelligently estimated, and whether the total carbon emission amount of the railway infrastructure to be verified uploaded by the user is true or not is judged based on the reasonable carbon emission amount of the railway infrastructure to be verified. According to the method, rapid and accurate calculation and verification of the carbon emission in the railway infrastructure construction process can be realized, false declaration is avoided, and the authenticity and reliability of the carbon emission data are improved.

The invention is suitable for the technical field of data processing, and provides an illumination lamp data transmission system, which comprises a plurality of illumination lamps, a plurality of PLC concentrators respectively connected with the illumination lamps on an electric power circuit in a region where the illumination lamps are located, LPWAN gateways connected with the PLC concentrators, and a monitoring center communicating with the LPWAN gateways through an LPWAN network. The lighting lamp is provided with a data acquisition module and a PLC module; the PLC concentrator is provided with a modulation-demodulation module, an error detection module and a data forwarding module; the LPWAN gateway is provided with a data coding module, a data packaging module and an LPWAN communication module; the monitoring center comprises a data receiving module, a decoding processing module and a data processing module. The problem that an existing lighting lamp is poor in data transmission signal stability in a special environment where communication is inconvenient is solved.

The invention relates to the field of data processing, in particular to an on-orbit calibration method and device for a scale factor, and the method comprises the steps: obtaining attitude data of a spacecraft after maneuvering through a star sensor, converting the attitude data into an angular acceleration signal under a test mass coordinate system, constructing a Kalman filter in combination with an excitation voltage read by an inertial sensor, and carrying out the on-orbit calibration of the scale factor; on-orbit calibration of the angle scale factor is completed, and on-orbit calibration of the line scale factor is completed through the conversion relation between the angle scale factor and the line scale factor. By combining and considering related factors such as linear acceleration and angular acceleration, the calibration process can more comprehensively consider the motion state of the spacecraft, and more accurate calibration is provided. In the maneuvering process of calibrating the scale factor, other parameters such as centroid offset and rigidity of the inertial sensor of the spacecraft can be calibrated at the same time. Through the technical scheme of the invention, the additional mass increase can be reduced, the unnecessary control complexity is avoided, the reliability of the system is improved, and the cost is reduced.

The invention provides a multi-dimensional force sensor rotary lifting type synchronous calibration device, which comprises a working table, a top plate and a lifting mechanism, and is characterized in that the top plate is connected with a circumference mechanism, the circumference mechanism is connected with a rotary table, and the rotary table is connected with a standard multi-dimensional force sensor; the standard multi-dimensional force sensor is connected with a first stress mechanism, the detected multi-dimensional force sensor is connected with a second stress mechanism, the two stress mechanisms are connected with a loading mechanism, and the distance from the stress point of the first stress mechanism to the standard multi-dimensional force sensor is equal to the distance from the stress point of the second stress mechanism to the detected multi-dimensional force sensor. When the top plate moves up and down, the loading mechanism is not kept in a horizontal state any more, and the circular motion of the circular mechanism is combined with the lifting motion of the top plate, so that coupling calibration can be performed on the detected multi-dimensional force sensor from multiple directions to show and simulate the most real bearing state. Therefore, the force and the torque borne by the industrial robot in actual operation can be accurately calibrated better.

The invention relates to the technical field of multi-beam sounding calibration, and discloses a multi-beam sounding online real-time calibration method. The method comprises the following steps: acquiring original water depth data and corresponding sensor attitude data in real time; generating a data quality evaluation result containing a data credibility index and a data abnormal distribution feature based on the original water depth data; triggering a dynamic calibration mechanism containing a calibration period adaptive adjustment strategy and a calibration parameter optimization rule according to the data credibility index; optimizing the target calibration rule parameters in combination with the sensor attitude data to generate an optimized calibration parameter set, and correcting the original water depth data in real time by using the parameter set to generate primary calibration data; and performing topographic feature consistency check on the primary calibration data, if the primary calibration data does not pass the topographic feature consistency check, starting a re-calibration process containing a rule base updating mechanism and a parameter iteration mechanism, and analyzing a deviation trend based on historical calibration records to generate a system error prediction model.

The invention discloses a zoom self-calibration method for the focal length of a coherent wind lidar telescope. The zoom self-calibration method comprises the following steps: (1) performing quick and continuous zoom on a lidar to acquire echoes; (2) carrying out normalization processing on the echo signal curve; (3) determining the distance corresponding to the maximum value of the normalized signal; (4) determining a real telescope focal length according to the signal maximum value position; (5) fitting to obtain a telescope zooming calibration curve; according to the invention, the relation curve between the focal length of the laser radar telescope and the displacement of the focusing mechanism can be rapidly calibrated, rapid setting and effective recording of the real focal length are ensured, and the measurement precision and stability of a laser radar system are improved.

The invention relates to a continuous casting soft reduction calibration and self-verification tool and method, and belongs to the field of continuous casting withdrawal and straightening machine roll gap calibration and verification. The roller spacing of the withdrawal and straightening machine can be quickly and accurately calibrated, and the accuracy of the roller spacing can be verified, so that calibration and self-verification can be completed within limited time. The calibration and verification tool is a chained dummy bar at least comprising two standard blocks, and the construction mode of the calibration and verification tool is that the standard block A is located at the foremost end of the dummy bar, the standard block B is arranged behind the standard block A, the standard block A is used for calibrating the roller spacing during calibration, and the standard block B is used for verifying the calibration accuracy. According to the continuous casting soft reduction calibration and self-checking tool and method, the two standard blocks are used for calibrating and checking the roller spacing of the withdrawal and straightening machine, calibration and checking are completed at a time, and the defect that soft reduction process execution deviation is caused by inaccurate calibration due to the influences of the clearance of the withdrawal and straightening machine, the straightening area, errors in the calibration process and the like is overcome.

The invention discloses a system for realizing liquid level calibration of a low-temperature liquid nitrogen biological container through pressure difference. The system comprises a liquid nitrogen container, a nitrogen filling device, an initialization module, a pressure difference measurement module, a liquid level calculation module, a processing module, a communication interface and a display terminal, after the system is initialized, nitrogen with a fixed volume is filled into the liquid nitrogen container through the nitrogen filling device, and the air pressure difference after inflation is measured and recorded; after each inflation, calculating the difference value between the volume of the liquid nitrogen container and the air pressure difference, and organizing into a pressure difference change data set; based on the data set, the liquid level calculation module calculates the relation between the actual volume of the liquid nitrogen container and the liquid level height; the processing module receives the liquid level height information and performs abnormity verification; the communication interface and the display terminal realize visual display of liquid level height information including a real-time curve, an information set and an abnormal alarm; according to the system, the liquid level change in the liquid nitrogen container is indirectly deduced by controlling the volume of filled nitrogen and monitoring the air pressure difference change, and non-contact liquid level calibration is achieved.

The invention discloses a three-dimensional geometric reconstruction camera calibration method and system, and relates to the technical field of three-dimensional geometric reconstruction, and the method comprises the steps: S1, image collection; s2, automatic calibration point selection; s3, estimating camera parameters; s4, distortion correction is carried out; and S5, performing three-dimensional reconstruction verification. According to the three-dimensional geometric reconstruction camera calibration method and system, a calibration point does not need to be selected manually, the calibration process is simplified, the complexity and time cost of the calibration process are reduced, a high-precision calibration result can be obtained without shooting a plurality of plane images and carrying out a plurality of optimization iterations, and the calibration efficiency is improved. The calculation amount and the time cost are further reduced, and camera calibration can be quickly and accurately realized; in addition, nonlinear distortion of a camera lens is fully considered, the calibration precision is further improved, and the method is particularly suitable for the situation that a wide-angle lens is used or an image contains large distortion.

The invention discloses a GIS equipment pipeline flange butt joint auxiliary positioning device for a transformer substation, and relates to the related technical field of transformer substation auxiliary installation. The device comprises a linkage conveying assembly, a positioning assembly, a supporting plate sliding on the upper end face of a transverse plate, arc-shaped pressing strips located on the two sides of the supporting plate, a moving strip fixed to one end of the supporting plate and connected with the upper end face of the transverse plate, and a rotary fine adjustment assembly. Comprising an air disc located over the moving strip, a plurality of suction cups fixed to the side face of the air disc and distributed in an array mode, an air cylinder fixed to the other side face of the air disc, and a size correction assembly which comprises a correction plate located between the lifting plate and the transverse plate and a flange assembly connected with the upper surface of the transverse plate. According to the device, the compression strip and the arc-shaped pressing strip are used in a linkage and matched mode, so that the flange assembly is conveniently positioned, meanwhile, the linkage strip controls the air pumping ball to vacuumize the suction cup, the suction cup and the flange assembly are attracted, and rotating fine adjustment can be conducted on the flange assembly.

The invention belongs to the technical field of sensor calibration, discloses a temperature sensor and a calibration method thereof, and aims to gradually measure and correct temperature deviation by setting a plurality of temperature calibration points, so that the calibration in the whole measuring range is more accurate. The multi-point calibration method can effectively reduce the measurement error of a single temperature point and improve the overall precision. According to the invention, when the temperature deviation exceeds the preset range, multi-parameter correction is carried out according to the response time and the nonlinear error of the sensor. The automatic adjustment mechanism ensures that the sensor can adapt to error changes in different environments, and the intelligence and self-adaptability of calibration are enhanced. According to the method, the response time of the sensor can be analyzed by recording the time of collecting data each time, so that calibration not only stays on the data precision, but also the dynamic performance of the sensor can be evaluated, and the response efficiency of the whole system is improved.

The invention discloses a zero-point voltage output bias control circuit of a sensor and a zero-point voltage calibration method of the sensor, and the circuit comprises the sensor which is used for outputting a differential voltage signal; the differential amplification circuit is used for amplifying the differential voltage signal; the processor comprises an ADC module, a DAC module and a controller module, the ADC module is used for converting the voltage signal into a digital signal which can be read by the controller module, and the DAC module is used for converting the digital signal output by the controller module into an analog signal; and the bias voltage adjusting module is used for adjusting the analog signal and the output voltage of the sensor so as to realize zero calibration of the sensor. The zero-point voltage output by the sensor can be actively controlled, accurate calibration is realized, and temperature drift and time drift of the sensor can be zeroed.

The embodiment of the invention relates to a method and device for calibrating the position of an encoder and a storage medium. The method comprises the following steps: determining a reference zero point and a reference phase corresponding to the reference zero point and related to an A-phase signal and a B-phase signal according to the A-phase signal, the B-phase signal and a Z-phase signal from an encoder; during the valid period of the Z-phase signal, generating a zero point mark matching signal according to the valid edges about the A-phase signal and the B-phase signal, the real-time rotation direction of the encoder and the reference rotation direction when the reference zero point is determined; and calibrating a position counter about the position of the encoder according to the phase difference between the reference phase and the real-time phase of the A-phase signal and the B-phase signal corresponding to the zero mark matching signal. According to the scheme, the position of the encoder can be accurately calibrated.

The invention provides a pulse laser calibration-based high-precision laser ranging system and method. The system comprises a ranging light path and a calibration light path, in the distance measurement light path, an arbitrary waveform generator performs frequency modulation on a laser signal of a semiconductor laser, the laser signal is divided into two beams through an optical fiber coupler, the two beams are respectively incident to a distance measurement unit and a calibration light path, and the distance measurement unit transmits the laser signal to a target for distance measurement; in the calibration light path, a pulse laser emits frequency calibration laser, the frequency calibration laser is transmitted to a second optical fiber coupler, and the frequency calibration laser is coupled with the laser signal to obtain a frequency mixing light signal; and the processor obtains a distance measurement result based on the distance measurement signal, determines a change curve of the laser signal frequency along with time based on the frequency calibration laser, obtains a non-linear quantity of frequency modulation, and calibrates the distance measurement result based on the non-linear quantity of frequency modulation. The pulse laser is used for calibrating the output frequency of the semiconductor laser, the distance measurement result is corrected, and the distance measurement precision is improved.

The invention relates to a weighing double-flow type cloud optimization flotation dosing control method and system, and belongs to the field of mineral separation automation. The invention comprises a weighing double-flow type automatic dosing system, a weighing double-flow type automatic dosing control method, a dosing system cloud optimization system and a dosing system cloud optimization method. The weighing double-flow type automatic dosing system comprises a control host system and a dosing control device; the weighing double-flow type automatic dosing control method comprises a weighing type dosing flow detection method and a coarse-fine double-flow electromagnetic valve type dosing control method. The dosing system cloud optimization system comprises a foam camera, an image processing host, a network connection device and a cloud server. The medicine adding system cloud optimization method comprises a cloud medicine adding system self-optimization method and a cloud artificial expert cooperative work method. According to the invention, the dosing amount can be accurately controlled, the system adapts to changes of chemicals and environment temperature, the dosing system can be automatically optimized according to flotation conditions, and the system plays a positive role in stabilizing and improving flotation process indexes.

The invention discloses a magnetic field generator calibration method of a medical electromagnetic positioning system. The method comprises the following steps: detecting the sensitivity of a single-axis receiving coil; an actual induced electromotive force data set used for calibration is collected, and the induced electromotive force of the single-axis receiving coil under the known pose is collected by building a standard coordinate system frame; a theoretical induced electromotive force data set for calibration is obtained by constructing a magnetic field model; an objective function of iterative optimization is constructed through the two data sets, the placement pose and the equivalent radius of a transmitting coil are optimized by using a Levenberg-Marquardt optimization algorithm, and inherent errors caused by technological processing in a magnetic field generator are calibrated. Under the condition that the induction capacity of the single-axis receiving coil is obtained in advance, independent calibration of the placement poses and the equivalent radiuses of all the transmitting coils in the magnetic field generator is achieved.

Included is the steps of providing a plurality of standard solutions containing amyloid β-related peptide and a surfactant and having different concentrations of the amyloid β-related peptide; mixing a solution containing internal standard peptide with each of the plurality of standard solutions; performing immunoprecipitation and mass spectrometry on a plurality of calibration curve solutions; standardizing signal intensity (A) in the amyloid β-related peptide with the signal intensity (B) in the internal standard peptide for each of the plurality of calibration curve solutions; and calculating a regression equation of a calibration curve based on a plurality of normalized intensities and the concentration of the amyloid β-related peptide.

The application discloses a FinFET device temperature-dose coupling modeling method, and belongs to the field of advanced semiconductor technology. The application solves the problem that a traditional irradiation model cannot give the degradation rule of a FinFET device under different temperature-dose. The application constructs a multi-physical field coupling nonlinear irradiation model, overcomes the limitation that a traditional total dose model only depends on the electric field intensity, effectively breaks through the limitation that a hole yield in the traditional model is only affected by the electric field and cannot reflect the degradation rule under different temperature-dose, and guarantees the accuracy of simulation results. Based on experimental data feedback, the application realizes dynamic correction of coupling factors, and improves the precision of the temperature-dose coupling model. By extracting the electrical characteristic parameter drift, the application constructs an analytical function of the evolution of the coupling factors with temperature and dose, and realizes accurate parameterization characterization of the radiation-induced trap charge accumulation process under different temperature-dose. The application can be applied to temperature-dose coupling modeling of a FinFET device.

This invention provides a method for testing the ultimate engagement torque of an electromagnetic jaw clutch, comprising: disengaging the clutch and keeping the driving motor stationary; controlling the driven motor with zero torque and calibrating a braking torque T for a magnetic powder brake connected to the driven side of the clutch, or calibrating a braking torque T for a fixed torque stall function for the driven motor; the driving motor drives the driving side of the clutch to rotate at an engagement speed n1 as the target speed; after the driving motor stabilizes at the engagement speed n1, energizing the clutch to engage the driving and driven sides of the clutch; if engagement is successful and the engagement time is within a preset engagement time range, increasing the braking torque T and repeating the above steps; if engagement fails, or engagement is successful but the engagement time exceeds the preset engagement time range, energizing and stopping the test, and taking the braking torque T of the last successful engagement with an engagement time within the preset engagement time range as the ultimate engagement torque.

The embodiment of the present invention provides a battery management system shunt calibration method and system, which belongs to the technical field of shunt calibration. The calibration method includes: obtaining the current gain and current offset of the shunt calibration parameters; inputting multiple reference voltages into the shunt to obtain the sampling value corresponding to the shunt; calculating the calibration value corresponding to the sampling value according to the sampling value, the current gain and the current offset; constructing a corresponding curve of the reference voltage and the calibration value according to the calibration value and the reference voltage; performing a curve fitting operation on the actual gain and current gain of the corresponding curve, and the actual offset and current offset of the corresponding curve to determine whether the current shunt is successfully calibrated. The calibration method and device can accurately calibrate the shunt of the battery management system.

The application discloses a kind of verification method, device, equipment and medium of automobile instrument icon, method includes: when detecting that icon display flow is started, the process of libdrm library call of direct rendering manager is truncated;From ION memory manager, the ION memory corresponding to the icon to be displayed is obtained, and is set as the texture icon corresponding to the icon to be displayed;According to the instrument display position of texture icon, the verification icon corresponding to the position is obtained from icon library;Based on texture icon and verification icon, according to the preset verification strategy, the texture icon is verified, and icon verification result is obtained;When icon verification result meets preset verification requirement, ION memory is sent to direct rendering manager by ION memory manager, to display the icon to be displayed on the display interface of automobile instrument by direct rendering manager.The application can verify the icon to be displayed in real time and accurately without additional video verification equipment.

The embodiment of the invention provides a model training and material mixed arrangement method and device, equipment and a medium. The method comprises the steps of obtaining user preferences of a target user, a user operation sequence and a material set corresponding to a material type pushed to the target user in real time; determining a material pre-estimated score of the material by using a pre-estimated score model corresponding to the material type of the material set; according to the material pre-estimation score of each material, a preset number of materials with the highest material pre-estimation score are selected as target materials, and a target material sequence corresponding to the material set is obtained; converting the user preference of the target user, the user operation sequence, and each target material and the material pre-estimated score thereof in the target material sequence into a feature coding sequence; and inputting the feature coding sequence into a first online calibration model to obtain a calibration score of the user operation corresponding to each target material in the target material sequence, and adjusting model parameters of the first online calibration model based on the calibration score of the user operation corresponding to each target material and the statistical score.

This invention discloses a method and system for verifying the integrity of approval data in a trusted data space, relating to the field of data security technology. The method includes: assessing and determining an approval risk coefficient and an approval urgency index based on the data attribute information and approval-related characteristics of the data to be approved; calculating and obtaining an appropriate approval time limit based on the approval risk coefficient and approval urgency index; using a time limit shorter than the appropriate approval time limit as an efficiency constraint to optimize the initial approval strategy, selecting the combination of approval nodes and the combination of approval node verification depths corresponding to the minimum predicted approval error probability as the appropriate approval scheme; and performing integrity verification on the data to be approved within the trusted data space according to the appropriate approval scheme. This invention effectively improves the integrity, reliability, and processing efficiency of the entire approval data chain in a trusted data space.

The invention relates to the technical field of image processing and financial science and technology, and particularly discloses a verification method and device for a handwritten transcribed text, computer equipment and a storage medium. According to the method, the target template corresponding to the to-be-verified transcribing text is determined through the table area of the to-be-verified transcribing text, and then the verification result is obtained based on the character sequence of the target template and the character sequence of the to-be-verified transcribing text, so that intelligent verification is realized, manual verification is not needed, manual false detection is avoided, and the verification efficiency and accuracy are improved. And secondly, through target template matching, different verification character sequences can be matched for the to-be-verified transcribing texts in different scenes, so that accurate verification is realized, the situation that a universal character recognition scheme wrongly recognizes the to-be-verified transcribing texts in different scenes is avoided, and the verification accuracy is improved.

The present invention discloses a multi-longitudinal mode Doppler laser radar calibration method based on dual F-P interferometers. The cavity length of the dual F-P interferometer is adjustable within a large range, and has two tuning modes: coarse adjustment and fine adjustment, which are controlled by an F-P interferometer controller; the calibration light source is multi-longitudinal mode, quasi-continuous backscattered light after the emitted laser pulse is incident on a long bare optical fiber. During calibration, a method of alternating coarse and fine scanning of the F-P interferometer cavity length is adopted. The present invention can accurately and conveniently realize the calibration of a multi-longitudinal mode Doppler laser radar system based on a dual F-P interferometer without changing the laser radar optical path structure, including the laser longitudinal mode spacing Λ and the free spectrum spacing ν of the F-P interferometer. FSR Matching calibration and dual F‑P interferometer transmittance curve calibration, between Λ and ν FSR Under the premise of matching, the optimal dual F-P interferometer transmittance calibration curve is obtained, so that the detection performance of the multi-longitudinal mode Doppler lidar system can be optimized.

The invention discloses a transformer winding temperature measurement calibrator, and relates to the technical field of transformer winding temperature measurement. The system comprises a constant temperature system and a thermal simulation correction system, and the constant temperature system is in signal connection with the thermal simulation correction system. The constant temperature system comprises a heating unit and a refrigerating unit; according to the invention, the heating unit composed of the electric heater, the temperature controller, the heat exchanger and the electric controller and the refrigeration unit composed of the compression refrigeration system and the refrigerant circulation refrigeration system are arranged, the heating unit accurately controls the heating temperature of the thermostatic bath, and meanwhile, the refrigerant circulation refrigeration system controls the flow of cooling water entering the thermostatic bath; the purposes of accelerating cooling and controlling the temperature rise rate are achieved, so that the current flowing through the heating element is adjusted through the current matcher in the process of measuring the temperature rise of the transformer winding during the temperature rise test of the transformer, and the value of the transformer winding thermometer can reflect the temperature of the transformer winding more accurately.

The invention provides a method and a device for improving strain loading precision of a high-temperature strain gauge parameter calibration device. The method comprises the following steps: determining target mechanical strain of strain sections such as a calibration beam; determining the linear expansion coefficient of the calibration beam and the clamp material at high temperature, and calculating the corrected fulcrum length of the calibration beam and the thickness of the calibration beam according to the linear expansion coefficient; calculating the length and height of a side pull arm after thermal expansion of the material according to the linear expansion coefficient of the clamp material, and calculating the deformation of a loading point based on the position of the loading point of the calibration beam and a deflection curve method; calculating the distance between the loading point and the supporting point of the corrected calibration beam according to the length and the height of the side pull arm and the deformation of the loading point after thermal expansion of the material; and obtaining a corrected target deflection value according to the target mechanical strain, the corrected fulcrum length of the calibration beam, the corrected thickness of the calibration beam and the distance between the loading point and the supporting point of the calibration beam, and controlling loading by taking the target deflection value as feedback. According to the invention, the high-temperature strain measurement precision can be effectively improved.