46results about How to "Guaranteed Calibration Accuracy" patented technology

The invention discloses a current calibration measurement method of a current transformer and a related device, and relates to the technical field of data processing, and the method comprises the steps: carrying out the preprocessing of operation and maintenance information, power data and temperature time sequence data; performing harmonic analysis based on the power data to obtain target harmonic analysis data; based on target harmonic analysis data, performing temperature influence change analysis by using the temperature time sequence data to generate calibration parameters; performing magnetic field interference analysis based on the operation and maintenance information to construct an error analysis model in combination with the power data, and generating a first error compensation value based on the error analysis model and the temperature influence change data; determining loss data based on the operation and maintenance information to determine a second error compensation value, and generating a target error compensation value based on the first and second error compensation values; and controlling the current transformer to perform current calibration measurement based on the calibration parameter and the target error compensation value. According to the invention, the measurement precision of the current transformer is improved, and the obtained current measurement result is more reliable.

The invention relates to a visual calibration method and system for an uncalibrated automatic mechanical arm, the method comprises two calibration modes of'eye on hand 'and'eye outside hand', the'eye on hand 'calculates and determines a hand-eye matrix through a camera and a marker mounted at the tail end of the mechanical arm so as to obtain pose transformation between the tail end of the mechanical arm and a flange in real time. In the calibration of'eyes outside hands', a global camera and a marker installed on the mechanical arm are utilized to determine the position and posture relation between the tail end of the mechanical arm and a target object through coordinate transformation, and therefore accurate calibration of the mechanical arm is achieved. The calibration method is suitable for scenes where D-H parameter precision is poor, a view blind area exists, and real-time deviation correction needs to be conducted through a visual servo system during work of the mechanical arm.

The invention relates to a calibration method and device of chip mounting equipment, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: acquiring a first image corresponding to a first identifier and a second image corresponding to a second identifier; determining first coordinate data of the first identifier and second coordinate data of the second identifier according to the first image and the second image; determining a position deviation value between the first identifier and the second identifier according to the first coordinate data and the second coordinate data; based on an association relationship between the position deviation value and error values of multiple dimensions, determining the error values of the multiple dimensions corresponding to the position deviation value; and calibrating the position of the mounting head and / or the carrying table according to the error value to obtain the calibrated chip mounting equipment. By adopting the method, the calibration precision and efficiency can be improved.

The invention discloses a power synthesis circuit based on a multi-channel radio frequency phase-locked loop. The power synthesis circuit comprises a signal control and signal processor, a synchronous reference clock, a multi-channel emission signal generation circuit, a self-correction circuit and a multi-channel emission antenna, the transmitting signal generating circuit comprises a radio frequency phase-locked loop, a driving amplifier, a DSA digital control attenuator and a power amplifier, and a delay control unit is arranged in the radio frequency phase-locked loop and used for delay phase tuning; and the self-correction circuit performs self-correction by using the frequency mixing and ADC sampling circuit. In addition, the invention further discloses a self-correction method based on the multi-channel radio frequency phase-locked loop, and the multi-channel radio frequency phase-locked loop is automatically calibrated by adopting the power synthesis circuit. According to the invention, power synthesis is carried out by using the irrelevance of the output signals of the multi-channel radio frequency phase-locked loop, so that the signal-to-noise ratio is improved and the quality of the transmitted signal is improved on the premise of improving the channel synthesis transmitting power.

The invention discloses a phase-locked loop rapid frequency automatic calibration system, which relates to the technical field of digital circuits and comprises an input signal selector, a voltage-controlled oscillator, an eight-frequency-division eight-phase circuit and an automatic frequency calibration circuit. According to the invention, the eight-frequency-division eight-phase output clock is used as the VCO output calibration clock, so that the AFC calibration time can be shortened to 1 / 7 of the traditional AFC time under the same calibration precision under the condition that a low-speed clock meeting the constraint condition of a digital circuit is used.

The present application relates to a method, system and computer program product for calibrating the threshold value of a chip internal comparator. The method includes: configuring each threshold value to be calibrated to each chip, and the threshold value to be calibrated is used to obtain the input value of the first input terminal of the internal comparator in each channel in each chip; configuring the target source initial value to the target source, indicating the target source to generate a target signal as the input value of the second input terminal of the internal comparator of each chip; obtaining the output state of the chip internal comparator in each channel in parallel; updating the target signal according to the scanning step and the first update direction, and the updated target signal is used to input the second input terminal of the chip internal comparator in each channel; when the output state of the chip internal comparator jumps, the first correlation relationship between the target signal corresponding to the first jump moment and the threshold value to be calibrated is recorded; and the first correlation relationship is used as calibration information. The use of this method can ensure calibration accuracy and improve calibration efficiency.

The application discloses a kind of calibration devices for strapdown inertial measurement unit, solve the technical problems of the prior art, such as large size and weight of calibration tool, poor stability, which affects the final test accuracy, and the need to replace the turntable with larger volume and load for overturning calibration, leading to increased resource costs, comprising a calibration bracket, four calibration bracket package angles and a positioning locking device.The calibration bracket is fixedly connected to the inertial measurement unit body through the positioning locking device.The calibration bracket is fixed on the inertial measurement unit body through the positioning locking device, achieving miniaturization design, reducing the weight of the calibration device by about 90%, reducing the volume by about 40%, and greatly saving the resource cost and labor cost of strapdown inertial measurement unit calibration work.

The embodiments of the present application provide a data verification method, device, electronic device and medium, and relate to the field of cloud storage technology. The embodiments of the present application include: after the data of the source storage node is fully migrated to the target storage node, compare whether the data information of the source storage node is consistent with the data information of the target storage node, if consistent, determine the number of data to be verified, and assign verification tasks to each sub-thread according to the number of data to be verified and the number of sub-threads, so that each sub-thread performs consistency verification on the data in the source storage node and the data in the target storage node based on its own verification task to obtain a consistency verification result. This method can take into account both verification efficiency and verification accuracy.

A surface thermometer calibration device comprises a calibration box, a heat conduction block is arranged in the calibration box, an isothermal block is arranged above the heat conduction block, a plurality of temperature measuring holes are formed in the isothermal block, a supporting plate is fixedly connected to one side of the upper side wall of the calibration box, a first sliding groove is formed in the supporting plate, and a lifting block is slidably connected into the first sliding groove; and a screw rod is rotationally connected to the lower side wall of the first sliding groove, a thread at the upper end of the screw rod passes through the lifting block, extends to the position above the supporting plate and is fixedly connected with a first rotating button, a follow-up plate is fixedly connected to the lifting block, a clamping assembly is arranged on the follow-up plate, and a leveling assembly is further arranged on the supporting plate. Compared with the prior art, the surface thermometer leveling device has the advantages that probes of various surface thermometers can be fixed through the clamping assembly, the applicability is high, the surface thermometer leveling device is more practical, the probes of the surface thermometers placed on the placing plate can be leveled in batches through the leveling assembly, the leveling mode is convenient and rapid, the working efficiency is improved, and the working efficiency is improved. And the calibration precision is ensured.

The application relates to the technical field of machine vision, and provides a non-overlapping field of view multi-camera calibration method based on a global camera, which comprises the following steps: arranging a global camera, device cameras and a calibration board; the global camera photographs the calibration board, and initial single-camera internal parameter calibration of the global camera and pose estimation between the global camera and the calibration board are completed; each device camera respectively solves the internal parameter of each device camera based on the photographed calibration board image, and initial single-camera internal parameter calibration of each device camera and pose estimation between each device camera and the calibration board are completed; the initial transformation relationship of each device camera relative to the global camera is calculated, and initial external parameters are obtained; a nonlinear optimization method is used to optimize the process parameters of each initial internal parameter and the derived initial external parameters, and a calibration result is obtained. The non-overlapping field of view calibration problem is converted into a classical overlapping field of view calibration problem by introducing the global camera as a bridge intermediary, and the dependence of a special device in the traditional method is effectively avoided.

The invention discloses a photoelectric load optical axis and IMU deviation calibration device and a calibration and use method thereof, relates to the technical field of optical correction devices, and solves the problems that a traditional photoelectric load optical axis and IMU deviation calibration device is low in precision and cannot be assembled and adjusted in batches. The device comprises a collimator which is internally provided with a detector and a light source; the reflector I corresponds to the first opening; a pentaprism; the semi-transparent and semi-reflective mirror II corresponds to the second opening; a reflector II; the reflecting mirror III corresponds to the third opening; a small reflector I and a small reflector II are adhered to the surface of the IMU; light emitted by the collimator is divided into two beams after passing through the reflector I, the pentaprism and the semi-transparent and semi-reflective mirror II, and one beam of light is emitted to the small reflector I from the second opening and is reflected by the small reflector I to return according to an original light path; and the other beam of light is emitted to the small reflector II from the third opening through the reflector II and the reflector III, and is reflected by the small reflector II to return according to the original light path, and the two beams of returned light are focused at the central position of the detector.

The invention discloses a piezoelectric sensor dynamic test calibration method based on a short memory grey model. The method comprises the following steps: constructing a piezoelectric sensor dynamic test short memory grey model; converting the short memory grey model into an algebraic model; establishing a model parameter identification algorithm based on the calibration of the piezoelectric sensor; based on the output of the sensor, the input of the piezoelectric sensor is calibrated through a short memory gray model. Modeling is carried out according to the dynamic response characteristic of the piezoelectric sensor, the response characteristic of the pressure input signal in a future period of time is utilized, and in turn, the pressure input signal is calibrated by utilizing the output in the future period of time. The model better conforms to the dynamic response characteristics of the pressure signals, and calibration is more accurate. According to the method, the short memory model is obtained by truncating the response according to the response rapidity of the sensor, so that the calibration precision is ensured, the calculation complexity is reduced, the calculation time is shortened, and the measurement rapidity is not obviously reduced.

The invention relates to a coordinate positioning debugging method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: acquiring coordinate point data of a target workpiece, and constructing a conversion model according to the coordinate point data to obtain a coordinate conversion model; performing coordinate conversion on the working point of the target workpiece according to the coordinate conversion model to obtain working point data; performing tool debugging on the to-be-debugged point location of the coordinate point data to obtain a current coordinate value; performing difference value calculation according to the working point location data and the current coordinate value to obtain a difference value; and debugging the to-be-debugged point location according to the difference value to obtain a debugging result. By adopting the method, the coordinate debugging process can be simplified while the coordinate debugging calibration precision is ensured.

The invention discloses an integrated centrifugal PCR (polymerase chain reaction) fluid verification and calibration module, and relates to the technical field of calibration of centrifugal microfluidic PCR devices. Comprising a module main body, the module main body is installed on an output shaft of a centrifugal driving mechanism of the centrifugal microfluidic PCR device, and the module main body is formed by positioning, overlapping and connecting a top layer PCB, a fluid verification chip, a calibration chip and a bottom layer PCB in sequence; a four-probe temperature detection unit, a pressure detection unit, a fluorescence simulation unit, a fluid verification unit, a control unit and a battery are integrated on the module main body. Power can be stably supplied under the centrifugal working condition, temperature, pressure and fluorescence parameter calibration and runner fluid function verification are synchronously completed, and a reliable technical scheme is provided for accurate and efficient calibration of a PCR device.

The invention provides a satellite image geometric correction method based on low-frequency resampling, and the method comprises the steps: obtaining basic data of an existing L1-level synthetic aperture radar SAR image product, and calculating a universal horizontal axis Mercator UTM projection range corresponding to an L1-level SAR image according to the basic data; calculating a rotation angle of an observation area of the L1-level SAR image in a minimum enclosing rectangle according to the UTM projection range, equally dividing an observation beam range based on the basic data, and calculating a scaling corresponding to each equally divided interval; and carrying out low-frequency resampling on the pixel points of each equally-divided interval according to the corresponding scaling, and rotating the resampled image according to the rotation angle to obtain an L2-level SAR image product after geometric correction. According to the method, the time required by the geometric correction of the SAR image is greatly shortened, the calculation complexity is reduced, and the convenience and applicability of the geometric correction of the satellite image are improved.

The invention discloses a wind tunnel negative pressure working condition pressure sensor initial reading calibration device and method. The device comprises a high-precision pressure controller, high-precision absolute pressure sensors with different measuring ranges, a vacuum pump, a gas buffer tank, a zero-leakage electromagnetic reversing valve, a matched sealing pipeline and the like. According to the invention, stable acquisition of 0.01%-level precision data can be realized, and important basic guarantee can be provided for accurate control of a wind tunnel flow field and accurate measurement of model aerodynamic parameters. On-line in-situ switching of a test pressure channel and a calibration pressure channel is achieved through switching control of the remote control electromagnetic valve, then the low-range pressure sensor initial reading on-site calibration method is achieved, the problem that initial reading on-site calibration of the low-range pressure sensor cannot be achieved in a conventional atmospheric pressure environment is solved, and the low-range pressure sensor initial reading on-site calibration method is suitable for large-scale popularization and application. The system deviation between the sensors is reduced, the deviation between the pressure truth value of the sensor and the measured pressure is also reduced, and the reliability of pressure measurement is improved.

The invention provides a camera dynamic calibration method and device and a vehicle, and the method comprises the steps: in a data preparation stage, based on a road environment image collected by a target camera in a vehicle in a vehicle driving process, obtaining target data needing to be provided in the data preparation stage, the target data comprising a first feature point set, and in a camera calibration stage, the target data comprising a second feature point set; the second feature point set needed to be used in the camera calibration stage is obtained based on the target data, the external parameter calibration result of the target camera is determined based on the second feature point set, the second feature point set comprises the first feature point set, a calibration plate and an artificial marker do not need to be used in the whole calibration process, and the calibration efficiency of the target camera is greatly improved; meanwhile, according to the method, different feature point sets can be respectively obtained in different stages of dynamic calibration of the target camera according to calibration requirements, so that the calibration precision of the target camera can be effectively ensured.

The present application relates to dilution refrigerator temperature calibration technical field, and disclose a kind of dilution refrigerator thermometer in situ calibration system based on natural cooling dynamics, comprising: according to the dynamics equation of cooling power and temperature Curvature is calculated, according to the temperature corresponding to thermometer resistance value, the temperature is substituted into temperature curvature, and the calibration function of resistance value and temperature is obtained;Identify the multivalued region of temperature, and evolve multiple branch functions in multivalued region in calibration function, calculate the deviation measure of each branch function and calibration function;In multivalued region, the support degree of each branch function to calibration function is calculated, and real-time data is obtained by adjusting calculation load, to minimize the number of experiments to verify calibration function;According to the branch verification result of multivalued region, dynamically adjust the verification strategy of non-multivalued region, under the premise of not relaxing calibration accuracy, through dynamics branch and load guide, significantly reduce the repeated experiment cost of dilution refrigerator cryogenic calibration.

The invention discloses a voltameter chip calibration system and method, the voltameter chip calibration system comprises a PC, a DC power supply, a simulation battery, an electronic load, a voltameter calibration device and a calibration host, the calibration host comprises a charging control circuit, a discharging control circuit and a calibration control module; the direct-current power supply charges the simulation battery through the charging control circuit, the simulation battery supplies power to the electronic load through the discharging control circuit, and the charging control circuit and the discharging control circuit are respectively connected with a chip to be calibrated.

The invention discloses an internal reference calibration method of a catadioptric camera based on principal line properties, and belongs to the technical field of computer vision and machine vision calibration, and the method comprises the following steps: S1, obtaining four antipodal image points in each image; s2, obtaining two groups of orthogonal vanishing points in each image; s3, constructing a main line based on the vanishing points and estimating a camera main point; s4, screening bad images; and S5, determining the focal length of the camera. According to the internal reference calibration method of the catadioptric camera based on the main line property, the problems that an existing internal reference calibration method of the catadioptric camera depends on a mirror surface geometric model, a complex calibration structure or high-precision feature detection, the robustness is insufficient, and operation is tedious are solved.

The invention relates to the technical field of precision measurement, in particular to a magnetic type rapid calibration and precision measurement reference block. Comprising a reference block body with a non-magnetic property; the upper end face of the reference block body is engraved with scale marks, and the lower end face is plated with a composite magnetic conductive coating. The reference block body is provided with at least one compensation positioning mechanism for adjusting the levelness of the contact surface of the reference block body; when the reference block is in a magnetic attraction state, the compensation positioning mechanism can provide magnetic attraction reverse force and friction force for the pre-positioned reference block. Through the composite design of the non-magnetic-conductive high-precision ceramic reference block and the low-hysteresis magnetic-conductive coating, while the stress magnetic attraction positioning of the reference block is precisely measured, the conduction of a magnetic field to a laser interference measurement area is blocked, the interference of the magnetic field on laser coherence and a measurement light path is eliminated, and the calibration precision is guaranteed. The method is suitable for the scenes of contact type laser interferometer gauge block calibration, high-precision flatness calibration and the like.

This utility model belongs to the field of rail base material testing technology, and provides a calibration rail for laser intelligent testing equipment for welded rail base materials. The calibration rail includes: a calibration rail with scale lines at both ends; and an adjustment mechanism comprising two base plates, each with omnidirectional wheels movably mounted on its bottom and an adjustment frame fixedly mounted on its top. A support plate is movably mounted inside the adjustment frame, and the support plate is connected to the calibration rail by bolts. The calibration rail of this utility model consists of two mutually perpendicular rectangular blocks, replacing the complex curves of the rail, fundamentally solving the problem of inaccurate measurement of complex rail curves. Traditional testing methods suffer from large measurement errors when dealing with complex rail curves because standard measuring tools cannot perfectly fit them. The simple geometry of the calibration rail allows laser testing to more accurately capture dimensional information, greatly improving measurement accuracy.

The application discloses a six-axis industrial robot hand-eye calibration method based on a three-dimensional ball calibrator and belongs to the technical field of six-axis industrial robot vision. The three-dimensional ball calibrator comprises a bottom plate, 11 standard balls and 11 standard rods, a plane coordinate system is arranged on the bottom plate, the 11 standard balls are respectively arranged on the bottom plate 12 in a vertical manner through the 11 standard rods according to the projection position coordinates and the height, and a space distribution is formed. The calibration method is used for determining the pose relationship between the end effector of the six-axis industrial robot and the camera, converting the position coordinates recognized by the vision system into the coordinates in the base coordinate system of the six-axis industrial robot, and thus ensuring that the six-axis industrial robot can accurately grasp the target object according to the information recognized by the vision system. The application improves the accuracy of the hand-eye calibration from two aspects: one is that the camera pose can be accurately obtained through the three-dimensional ball calibrator, which lays a foundation for accurate operation; and the other is that the calibration precision is further improved through the hand-eye equation AX=XB.

The present application relates to a calibration method, device, system and storage medium for a radio astronomy phased array feed, which obtains a multi-channel receiving signal output by a phased array feed; wherein the multi-channel receiving signal is generated after a first noise signal is radiated from the transmitting antenna to a plurality of receiving units of the phased array feed; each of the receiving signals and a reference signal are converted into an analog-to-digital format to generate a corresponding two-dimensional digital matrix; wherein the reference signal is a second noise signal having the same source as the first noise signal; based on each of the two-dimensional digital matrices, a covariance matrix of signals between different receiving links of the phased array feed is determined; based on the covariance matrix, an original beamforming coefficient matrix of the phased array feed is calibrated to obtain a corrected beamforming coefficient matrix of the phased array feed, thereby reducing the frequency of using astronomical sources for calibration and improving the system calibration efficiency under the premise of ensuring the calibration accuracy of the phased array feed.

The present invention is an automatic calibration device and method for a laser displacement sensor. A laser displacement sensor and a laser interferometer are arranged on both sides of a moving table, and a beam analyzer is arranged on the moving table to realize spot measurement. During calibration, the standard object to be measured is controlled to step from the near end of the range to the far end of the range, and the laser displacement sensor data, laser interferometer data and beam analyzer data at each sampling position are recorded. After completing the full-range scan, the linear deviation is calculated according to the laser displacement sensor readings and laser interferometer readings at different positions to generate a calibration table for calibration; the shape and direction of the measuring beam are fitted according to the cross-sectional spot data at different positions to adjust the focus, direction and other parameters. The present invention can realize the simultaneous measurement of the linear deviation of the laser displacement sensor and the beam shape in a single scan, is suitable for the calibration of laser displacement sensors of various ranges, and can significantly improve the calibration accuracy and production efficiency.

One or more embodiments of the present specification provide a location verification method and device, an electronic device, and a storage medium; the method may include: determining a location to be verified and several reference locations corresponding to the location to be verified, and obtaining the declared locations of the location to be verified and the reference locations; determining an estimated travel distance between the location to be verified and each reference location based on travel-related information between the location to be verified and each reference location, the travel-related information including travel time information between the location to be verified and each reference location; locating the location to be verified based on the declared locations of each reference location and the estimated travel distance obtained, to obtain an estimated location of the location to be verified, and matching the estimated location with the declared location of the location to be verified, so as to determine whether the declared location of the location to be verified has passed the verification based on the matching result.

The invention belongs to the technical field of automatic calibration, and discloses a method and a system for calibrating an instrument by using an improved order-preserving regression algorithm. Defining a calibration function to be calibrated in the expectation of the observation values of the instruments and meters according to the numerical response space of the joint distribution of the instruments and meters; performing smooth order-preserving regression training on the calibration function to be calibrated by a smooth order-preserving regression calibration algorithm to obtain a final calibration function after training; and deploying the trained final calibration function into actual operation equipment, and carrying out real-time calibration on an input signal of the actual operation equipment. According to the invention, numerical calibration of instruments and meters is realized through an automatic means, the requirement of manual operation is reduced, the cost of manpower and material resources is reduced, and errors and inaccuracy possibly caused by manual calibration are avoided. According to the method, the problem of signal segmentation deviation caused by instrument aging or environmental noise can be effectively solved, and the calibration precision and reliability are remarkably improved.

The invention discloses a calibration method and system for a pressure sensor, and the method comprises the steps: selecting a plurality of discrete calibration points on a sensing surface of a multi-layer multi-channel sensor; sequentially applying a group of limited preset acting force modes to each point position, wherein the acting force modes comprise tangential uniaxial force parallel to the sensed surface, normal uniaxial force perpendicular to the sensed surface and at least one composite force simultaneously comprising tangential and normal components; response signals of all channels are synchronously collected during each time of force application; and finally, on the basis of all the signals and the corresponding known force application information, calculating to obtain calibration parameters for establishing accurate mapping between the signals and the actual stress. The problem of low calibration efficiency of the pressure sensor is solved, omnidirectional exhaustion is replaced by finite mode test, the calibration precision is guaranteed, the test frequency and time are greatly reduced, and the calibration efficiency of the pressure sensor is remarkably improved.

The utility model discloses a belt weigher calibration device suitable for high belt speed, which comprises a belt weigher assembly, a calibration structure is fixed on the belt weigher assembly and is used for calibrating a belt weigher, a cleaning assembly is arranged on the lower side of the belt weigher assembly and is used for cleaning a belt body, and the calibration structure comprises a speed measurement sensor body. The speed measurement sensor body is located on one side of the gravity sensor box body, the gravity sensor body embedded in the gravity sensor box body is attached to the belt body, and the auxiliary verification assembly is fixed to the upper side of the gravity sensor box body. The belt scale verification device suitable for the high belt speed is provided with the correction and verification structure, monitoring and verification are carried out at the same time through multiple sets of speed measurement sensor bodies and gravity sensor bodies, verification accuracy is guaranteed, under the auxiliary effect of the auxiliary verification assembly, the gravity sensor bodies weigh weights on the belt body, and the verification accuracy is improved. Therefore, the test data are compared according to the self-gravity of the weights, the verification accuracy is verified, and the accuracy of the weighing data of the high-belt-speed belt scale is ensured.

The present application relates to the technical field of battery management, and particularly relates to a battery power calibration method and device based on a gating state, equipment and a storage medium, the method obtains power prediction parameters and state parameters of a battery, calculates power estimation results and their credibility, dynamically adjusts the gating state in combination with static state, voltage stability and other determination conditions, and finally selects a corresponding correction algorithm to calibrate the power according to the gating state. By introducing the gating state mechanism, the power calibration process can flexibly switch the correction strategy according to the actual running state of the battery: in the static stable stage, the credibility weight is increased to ensure the calibration accuracy; in the fluctuation stage, the noise influence is reduced to avoid false correction; in the long-time stable stage, the result is frozen to reduce invalid calculation. The method determines the credibility by fusing multiple parameters, and adopts the appropriate correction strategy in different gating states, thereby improving the accuracy of power estimation.