55results about How to "Realize Calibration" patented technology

The invention relates to the technical field of pipeline welding seam identification and measurement, aims to solve the problem of uncontrollable data acquisition quality and the problems of robustness and precision of single-feature welding seam extraction, and provides a nuclear power station pipeline welding seam automatic identification and measurement method which comprises the following steps: accurately acquiring pipeline data under a self-adaptive front view posture; carrying out point cloud data processing on the collected data, and carrying out fitting of a pipeline model after segmenting out part of point cloud of the pipeline; after pipeline modeling is completed, a multi-dimensional data fusion method is adopted for weld joint recognition; and after the welding seam area is back projected back to the three-dimensional point cloud space, three-dimensional point cloud of the welding seam area is obtained, modeling is conducted on the welding seam area in combination with the pipeline model, and finally measurement data of the welding seam are obtained. According to the invention, automatic hand-eye calibration and multi-camera calibration of the guiding system can be realized without manual intervention.

The invention provides an on-site rapid calibration combined device and method for a multi-dimensional force sensor, and the device comprises a workbench and a top plate, the top of the workbench and the bottom of the top plate are provided with connecting assemblies, the connecting assemblies are connected with standard force sensors, the standard force sensors are connected with steel wire ropes, and the two steel wire ropes are jointly connected with a loading assembly. When the tail end of the tested industrial robot moves in the X-axis direction or the Y-axis direction or the tail end of the tested industrial robot rotates, an included angle exists between the loaded steel wire rope and the steel wire rope before loading, and the device further comprises an angle recognition assembly. Through movement of the tail end of the tested industrial robot, loading and calibration of a multi-dimensional force sensor of the tested industrial robot are realized. Compared with an existing multi-dimensional force sensor calibration device, the device has the advantages that the multi-dimensional force sensor does not need to be dismounted from the tested industrial robot, and artificial installation errors are prevented from being introduced. Moreover, the calibration work of the multi-dimensional force sensor is simplified, and the influence on industrial production is reduced.

The invention provides a phosphorus beam calibration method in a molecular beam epitaxy system, and relates to the technical field of semiconductor manufacturing. The method comprises the following steps: growing an InGaAsy0P1-y0 epitaxial layer in a first molecular beam epitaxy system with a calibrated phosphorus beam; and growing an InGaAsyP1-y epitaxial layer in the second molecular beam epitaxy system of the phosphorus beam to be calibrated, adjusting the value of the phosphorus beam to enable the As component y obtained by actual measurement to be equal to y0, and taking the corresponding phosphorus beam when y is equal to y0 as the calibrated phosphorus beam of the second molecular beam epitaxy system. According to the method, the InGaAsP materials with fixed components grow in different molecular beam epitaxy systems, so that the relative size relationship between the arsenic beam and the phosphorus beam actually required in different systems is determined, the phosphorus beam calibration of a new system is realized by using the arsenic beam calibration data and the relative size relationship, and the accuracy of the phosphorus beam calibration is improved. The method can significantly save time cost and material cost.

The invention discloses an antenna phase center calibration method based on spherical near-field measurement, and belongs to the field of antenna measurement. According to the method, phase pattern measurement and phase center calculation capabilities of a multi-probe spherical near field are utilized to test the azimuth rotation capability of the rotary table and the design height value from the table top of the rotary table to the center of the field; the method comprises the following steps: respectively measuring discrete position points of a fixed point on an arc movement track and a linear movement track under a site coordinate system, fitting circles and straight lines from the discrete position points according to the movement tracks, respectively determining a Z axis and an X axis of a measured site, and further obtaining a multi-probe spherical near-field site coordinate system. And determining the phase center of the to-be-tested antenna in the field coordinate system according to the phase pattern of the to-be-tested antenna, thereby calibrating the relative position relationship between the phase center of the to-be-tested antenna and the reference point, namely obtaining the offset of the phase center of the to-be-tested antenna.

The invention relates to the technical field of vehicle calibration, in particular to an information data management system for vehicle calibration. A measurement noise covariance matrix is optimized by fusing data acquired by a visual sensor and a millimeter wave radar and introducing the size, the volume and the dispersity of an obstacle as well as the illumination condition and the shielding condition in image data, so that the position of the obstacle is determined, and the sensor calibration deviation is judged in a real-time environment; when calibration is needed, angular points in the image data are extracted through an angular point detection algorithm, extraction of feature points in the image data is accurately optimized by introducing the angular points, and calibration of the visual sensor and the millimeter-wave radar is achieved by combining distance and angle information measured by the millimeter-wave radar.

The invention discloses a method, a system and a device for testing and calibrating an electric control handle, a movement device is adopted to control the movement of the electric control handle, the automatic testing and calibration of the electric control handle are realized by collecting the displacement angle and output in the testing process of the electric control handle, the influence of the skill level of an operator can be avoided, the efficiency is improved, and the testing accuracy is improved. And in the calibration process, through iterative adjustment of the relation line, the final performance of the electric control handle is enabled to be better, and the precision of the electric control handle is improved.

The invention discloses a coherent wind lidar calibration system and method. The calibration system comprises a setting module used for setting a wind speed and an atmosphere scene; the modulation control module is used for calculating a frequency shift control signal according to a set wind speed and converting a set atmosphere scene into an intensity control signal; the modulation amplification module is used for performing frequency modulation and amplitude modulation on seed laser input by the tested radar system under the driving of the driving module, and performing optical power amplification to obtain an analog echo signal; and the coupler is used for coupling the analog echo signal into the tested radar system so as to perform inversion according to the data of the analog echo signal, and comparing the inverted data with the data of the analog echo signal so as to complete calibration. According to the invention, main photoelectric parameters and indexes of the coherent wind lidar can be calibrated in a laboratory or on-site environment.

The invention discloses a calibration method and device for detection equipment. The calibration method specifically comprises the following steps: acquiring actual data of a target product and product detection data measured by the detection equipment; performing mapping processing on the product detection data based on the reference measurement sheet calibration model, and giving initial product calibration data; giving calibration product calibration data in combination with the initial product calibration data and the primary product calibration model; and completing calibration of the detection equipment according to the actual data of the target product and the calibration data of the calibration product. According to the calibration scheme of the detection equipment provided by the invention, the correlation between the reference measuring sheet and the target product is established, so that the production waste of production materials during product calibration is avoided, and green calibration is realized. Meanwhile, correlation among the multiple detection devices is given, the consistency of calibration results of the multiple detection devices is guaranteed, and the calibration efficiency is improved.

The invention discloses an online real flow calibration method and device, relates to the technical field of mixed-phase fluid metering, and mainly aims to improve the metering accuracy of mixed-phase fluid at an oil-gas wellhead. According to the main technical scheme, the light quantum mixed-phase flow meter is developed on the basis of the characteristic that the reaction probabilities of gamma rays and different substances are different, a measuring system of the light quantum mixed-phase flow meter can accurately measure the mass phase fractions of various phase-state fluids in well mouth mixed-phase flow, and the total mass flow rate measured by a throttling device is matched. The mass flow of the fluid in various phase states can be obtained through comprehensive calculation by combining with a multi-parameter sensor; the phase fraction of each phase fluid in the oil-gas well mouth mixed-phase flow is measured by using the gamma-ray technology, then the flow of each phase fluid is obtained, on the basis, aiming at the calibration problem of the oil-gas mixed-phase flow, an artificial intelligence algorithm is put forward to realize online real-flow calibration, and then the intelligent level of oil-gas production is improved. The field application effect is good, the intelligent level of the oil and gas field is improved, and the method is suitable for application and popularization.

The invention discloses a laser radar calibration method, electronic equipment and a medium, and relates to the field of laser radar calibration. In the laser radar calibration device comprising a controller and a reflecting plate, a second position of a target point in a vehicle body coordinate system is determined according to the position of the target point in a laser radar coordinate system and current data (including position data and direction data), and then the position of the target point in the vehicle body coordinate system is calibrated according to the relation between the first position and the second position. The current data is adjusted according to the condition of the second position, and calibration of the laser radar is achieved; the internal and external parameters of the camera and the environment illumination condition do not need to be considered, the complexity of the calibration process is relatively reduced, the calibration efficiency of the laser radar is improved, and the calibration of the vehicle-mounted laser radar can be completed on a vehicle without the camera; moreover, the position condition of the target point on the reflector is analyzed, so that the position of the target point can be quickly and accurately identified according to the light intensity information, and the calibration efficiency is further improved.

The invention relates to a calibration method and device of mobile equipment, equipment and a storage medium, and belongs to the technical field of automatic guide trolleys, the orientation of a radar is parallel to the moving direction of the mobile equipment, and the method comprises the following steps: controlling the mobile equipment to move to a first set position; detecting a first identifier around the first set position through a radar to obtain radar calibration data; obtaining a conversion relation between a radar coordinate system of the mobile equipment and a vehicle body coordinate system of the mobile equipment according to the radar calibration data; wherein the conversion relation is used for the mobile device to convert the first position, output by the radar, in the radar coordinate system into the second position in the vehicle body coordinate system.

The invention relates to the technical field of toothed rail detection, in particular to a tool for calibrating the meshing force of a toothed rail and a calibration method of the tool. The tool for calibrating the meshing force of the toothed rail comprises a loading module. The loading module is provided with a tooth groove, the tooth groove is provided with a first supporting part and a second supporting part, the first supporting part is used for being in contact with the upper tooth surface of the gear tooth, the second supporting part is used for being in contact with the side tooth surface of the gear tooth, the first supporting part and the second supporting part are both in a long strip shape, and the first supporting part and the second supporting part are both parallel to the extension direction of the tooth groove. The loading module is installed on the gear teeth, the loading module is matched with the tension component and the jacking component, a proper moment center is selected to establish a moment balance equation, the meshing force of the gear teeth can be calculated only by measuring a small amount of data, calibration of the meshing force of the gear teeth can be achieved by using the meshing force of the gear teeth in cooperation with other measurement modes, and the calibration precision of the meshing force of the gear teeth is improved. Therefore, the problem that a tool for calibrating the meshing force of the toothed rail is lacked in the current market is solved.

The invention discloses a calibration method for steering angle control and a computer readable storage medium. The calibration method for steering angle control comprises the following steps: receiving vehicle driving condition parameters and vehicle configuration parameters; setting control parameters of a steering angle control algorithm; receiving an actual steering angle under the conditions of the vehicle driving condition parameters, the vehicle configuration parameters and the control parameters of the steering angle control algorithm; calculating a response parameter based on a comparison of the actual steering angle and the target steering angle; and judging whether the response parameter accords with a set value or not, and if yes, recording the control parameter of the steering angle control algorithm under the conditions of the vehicle driving working condition parameter and the vehicle configuration parameter as a qualified control parameter. According to the calibration method for steering angle control, calibration of the steering angle control algorithm can be realized.

The application provides a kind of equipment residual life adaptive prediction method of fusion multi-source data, it is related to equipment residual life prediction technical field, specific steps include: obtaining the equipment operating data and corresponding environmental parameters under different working conditions, construct the first data set;Each source feature vector is constructed, uniform dimension mapping is executed, global degradation reference construction and deviation representation processing between sources are carried out, and life sensitive source sequence is obtained;Degradation stage feature is constructed and stage difference representation processing is carried out, and stage memory sequence is obtained;Life reduction feature is constructed and degradation consumption representation processing is carried out, and basic residual life reduction sequence is obtained;Working condition deviation feature is constructed according to basic residual life reduction sequence, life sensitive source sequence end time feature and stage memory sequence end time feature, and residual life correction quantity is generated;The equipment residual life prediction result is obtained according to basic residual life reduction sequence and residual life correction quantity.

The invention discloses a robot vision positioning calibration method. The technical problems that a traditional robot vision calibration method is low in calibration efficiency and poor in precision are solved. By presetting the spatial geometry, the spatial position calibration in the motion range of the robot can be realized, so that errors such as installation and assembly are considered, and adverse effects on calibration accuracy are avoided. In addition, the robot tail end cuspidal point position is determined by adjusting the support, the cuspidal point position capturing precision and reliability can be effectively improved, and the image recognition error is reduced. Therefore, the corresponding relation between the robot motion coordinate system and the camera pixel coordinate system is established through the space geometry, and calibration between the camera and the tail end of the robot is achieved.

The present application discloses a calibration method, device, electronic device, and storage medium for an autonomous driving vehicle. The autonomous driving vehicle at least includes: an RTK positioning device and an image acquisition device, and realizes the calibration of the relative position of the RTK positioning device and the image acquisition device in the horizontal direction perpendicular to the vehicle body. Through the present application, the calculation result of the lane line is accurate, and the relative position calibration result of the RTK positioning device and the image acquisition device is obtained.

The invention provides a track-based automatic external parameter calibration method and related equipment. The method comprises the following steps: acquiring a three-dimensional point cloud image acquired by a first sensor and a two-dimensional image acquired by a second sensor; respectively carrying out feature extraction on the three-dimensional point cloud image and the two-dimensional image, and determining a first feature of the three-dimensional point cloud image and a second feature of the two-dimensional image; performing similarity matching by using a first distance between the first feature and the first sensor, a frame number of the first feature in the three-dimensional point cloud image, a second distance between the second feature and the second sensor, and a frame number of the second feature in the two-dimensional image to obtain a matching result; and projecting the three-dimensional point cloud image to the two-dimensional image, optimizing the projection error by using the matching result and the internal reference matrix of the second sensor until the projection error is minimum, and obtaining an external reference matrix between the first sensor and the second sensor. And external parameter calibration of the first sensor and the second sensor is realized without a reference object and depending on a large number of computing resources.

The embodiment of the present application provides a calibration method and device for a C-arm machine, the method comprising: obtaining an augmented image of a calibration plate in multiple postures, the calibration plate comprising multiple calibration balls, the multiple calibration balls comprising a positioning ball for coordinate positioning; based on the positioning balls among the multiple calibration balls, determining the pixel coordinates and world coordinates of the target calibration ball in each augmented image; based on the pixel coordinates and world coordinates of the target calibration ball in each augmented image, determining the external parameter matrix, the internal parameter matrix and the distortion parameters of the C-arm machine. Applying the solution provided by the embodiment of the present application can expand the application scope of C-arm machine calibration and improve the accuracy of C-arm machine calibration.

The invention relates to the technical field of heat exchange equipment, and provides a tube bundle type heat exchanger, a heat exchange performance calibration method thereof and a thermo-acoustic engine. The tube bundle type heat exchanger comprises a shell, a heating piece and a tube bundle, the shell comprises a heat exchange cavity and a working cavity, the heat exchange cavity and the working cavity are arranged at an interval, and liquid metal is arranged in the heat exchange cavity; the heating piece penetrates through the heat exchange cavity and is used for heating the liquid metal; the tube bundle penetrates through the heat exchange cavity and is spaced from the heating piece, openings in the two ends of the tube bundle communicate with the working cavity, and the tube bundle is used for conveying working gas. According to the tube bundle type heat exchanger, a uniform temperature field is formed through the combination of the heating piece and the liquid metal, the power of the heating piece can be directly used as reference data for measuring the heat exchange performance of the tube bundle type heat exchanger, and heat sources such as high-temperature flames and high-temperature flue gas do not participate in the heat exchange process of the tube bundle type heat exchanger; in other words, complex radiation and convective heat exchange modes do not exist, and the difficulty of accurate evaluation of the performance of the heat exchanger is effectively reduced.

The utility model discloses a track center line calibration device which comprises a guide rail, a centering block, a centering distance sensor, a marking rod and a storage bin. Rollers are rotationally mounted at the two ends of the guide rail respectively, and pressure sensors are mounted on the rollers respectively; walking wheels are rotationally installed on the two sides of the bottom of the guide rail correspondingly. The centering block is arranged in the middle of the guide rail; the two centering distance sensors are installed at the two ends of the guide rail correspondingly and used for measuring the distances between the two ends of the guide rail and the middle position of the centering block correspondingly. The top end of the marking rod is connected with the middle position of the centering block; the storage bin is arranged at the bottom end of the marking rod; a discharge hole is formed in the bottom end of the storage bin; the width of the inspection pit and the position of the track center line are measured through the distance sensor, the track center line is calibrated through the discharge port of the storage bin, the measurement and calibration precision and efficiency can be improved, and construction errors are reduced; transportation and operation are convenient, using flexibility and reliability are improved, and labor cost is saved.

The present invention provides a dual-band scene simulator optical axis parallelism calibration device, comprising a calibrator, a simulator to be tested, an optical air-floating platform, a computer and a large-caliber total reflection collimator, the calibrator comprising a spectroscope, a visible light CCD, and a thermal imager, the collimator comprising a primary mirror, a secondary mirror and a light tube channel; the collimator is mounted on the optical air-floating platform and fixed horizontally, the simulator to be tested is mounted on a supporting tooling and the supporting tooling is fixed horizontally on the optical air-floating platform, two beams of parallel light emitted by the simulator to be tested can be emitted into the collimator along the emission port; the spectroscope can divide the scene light emitted through the light tube channel into visible light and infrared light, the visible light can be focused on the visible light CCD through the spectroscope, and the infrared light can be focused on the thermal imager through the spectroscope reflection; the computer is electrically connected to the simulator to be tested, the visible light CCD, and the thermal imager. The present invention has a simple structure, can adapt to scene simulators with a variety of optical axis spacings and position arrangements, and can achieve pixel-level calibration.

The present application provides a sample structure and a method for making it, and a method for calibrating the spatial angle of incidence, wherein the sample structure includes a substrate, a metal film located on the substrate, and a nanostructure located inside or on the metal film. The sample structure is simple, and the manufacturing method is simple, but the near-field light field distribution generated under the irradiation of oblique incident light can be detected by SNOM, and has a good response to the spatial angle of incident light, and can be used for SNOM near-field light field imaging, and then the spatial angle component of the incident light is inferred from the measurement results of the SNOM near-field light field imaging, thereby realizing the calibration of the spatial angle of the incident light of the SNOM device. The calibration method is simple and easy, and the sample structure preparation process is simple. It can be used as a standard sample to calibrate the spatial angle of incident light of scattered scanning near-field optical microscopes of different manufacturers or laboratories. It has a wide range of applications and can be mass-produced.

The invention relates to a calibration method, a calibration system, a leveling device, equipment, a medium and a program product, and after target equipment to be calibrated is determined, it is determined that a sensor with an initial attitude is fixedly arranged on the target equipment. According to the invention, the attitude of the sensor is adjusted before calibration, and the sensor after attitude adjustment is used as the target sensor; then equipment motion parameters of the target equipment and sensor attitude parameters collected by the target sensor are obtained, and attitude conversion parameters between the target sensor and the target equipment are determined according to the equipment motion parameters and the sensor attitude parameters; the attitude conversion parameter is used for converting the sensor attitude parameter into a target equipment attitude parameter so as to calibrate the target equipment. According to the calibration method disclosed by the invention, the equipment attitude parameters of the target equipment and the attitude conversion parameters between the target sensor and the target equipment are calibrated at the same time, and the calibration accuracy of the target equipment is improved.

The utility model discloses a steel wire rope nondestructive detector, which relates to the technical field of steel wire rope detection and comprises a displacement adjusting mechanism, a clamping and conveying mechanism, a placing groove, a placing seat, a clamping groove seat, a clamping groove, a sheath, a baffle plate and a steel bar group sample, the steel bar group sample clamping and conveying device is reasonable and simple in structure, low in production cost, convenient to install and complete in function, through cooperative operation of the clamping and conveying mechanism and the conveying mechanism, automatic clamping and conveying of a steel bar group sample for testing can be achieved, use convenience is improved, and the steel bar group sample is protected and limited through the protective sleeve; according to the utility model, different steel bars can be inserted to respectively test the continuous broken wire signal resolution, the LF detection sensitivity and the LMA quantitative accuracy of the steel wire rope nondestructive detector, so that the performance of the detector is comprehensively detected; the displacement adjusting mechanism is adopted to control the detector probe to move, magnetization and calibration of a steel bar group sample can be achieved, operation is easy and convenient, and the detection result is visual and reliable.

The invention relates to a three-point contact ball bearing axial stress calibration device and calibration method, and belongs to the technical field of bearing test.The three-point contact ball bearing axial stress calibration device comprises a control unit, a shell and a main shaft arranged in the shell, the main shaft is sleeved with a first three-point contact ball bearing and a second three-point contact ball bearing, and the outer side of the main shaft is further sleeved with an intermediate bearing assembly; a radial loading device is also arranged in the shell; a thrust sleeve in sliding fit with the shell is arranged on the outer side of the first three-point contact ball bearing, the second three-point contact ball bearing is in sliding fit with the shell, a transition sleeve abutting against the second three-point contact ball bearing is arranged in the shell in a sliding mode, an axial loading device is arranged on the outer side of the shell, and a first pressure sensor is arranged between the axial loading device and the thrust sleeve. A limiting piece is further arranged on the outer side of the shell, and a second pressure sensor is arranged between the transition sleeve and the limiting piece. According to the invention, direct measurement and calibration of the axial force transmitted to the far-end three-point contact ball bearing in a multi-bearing series connection structure can be realized.

The present invention provides a metering method and device for a three-phase meter, comprising: obtaining a first voltage signal and a second voltage signal of the three-phase; superimposing the first voltage signal and the second voltage signal of the three-phase to obtain a pulse signal; under a preset condition, calculating a compensation value of each temperature point, and writing the compensation value of each temperature point into a register of a microcontroller unit; counting and accumulating the pulse signal to obtain an equivalent high-frequency pulse number; obtaining a first initial value, and processing the first initial value to obtain a second initial value; outputting the actual high-frequency pulse number through a pulse output management circuit according to the second initial value; calculating a pulse equivalent according to the equivalent high-frequency pulse number and the actual high-frequency pulse number, thereby realizing meter calibration, and realizing the first-level error requirement of the full temperature range of ‑40° to +70°, and the error of the small current 1% IB point also meets the requirement of the first-level meter.

The utility model discloses a calibration and test tool for a gas chip, and aims to overcome the defect that inconvenience is brought to calibration and test of the gas chip due to the fact that no special calibration and test tool for the gas chip exists in the market. The device comprises a circuit board, and a plurality of probes are installed on the circuit board. The groove plate is provided with a plurality of installation grooves, the gas chips are connected with the installation grooves in a matched mode, and the probes penetrate through the groove plate and make contact with the gas chips to achieve electric connection; the cover plate is pressed on the groove plate and tightly presses the gas chip, and vent holes are formed in the cover plate and correspond to the gas chip. According to the calibration and test tool of the gas chip, calibration and test of the gas chip are facilitated, calibration and test operation of a plurality of gas chips can be realized at a time, and the working efficiency is improved.

The application relates to the technical field of laser processing, and discloses a calibration method and device and laser processing equipment. The method comprises the following steps: printing a calibration pattern on a calibration consumable; acquiring an image of the calibration pattern printed on the calibration consumable, and determining pixel coordinate data of the calibration pattern in the image; acquiring field lens information and laser module information, selecting a preset mapping relationship matched with the field lens information and the laser module information, and calibrating the pixel coordinate data according to the preset mapping relationship; determining an actual mapping relationship between physical coordinate data of the calibration pattern and the pixel coordinate data according to the calibrated pixel coordinate data and the physical coordinate data of the calibration pattern; and calculating a center offset, and associating and storing the center offset, the field lens information, the laser module information and the actual mapping relationship. The user end can calibrate the laser module by itself.

The present invention provides a calibration method, system and device for testing the low-frequency performance of an all-fiber detector. The method includes: attaching a parallel plate capacitor structure to both ends of the detector probe and applying an AC voltage signal to drive the detector probe to vibrate up and down, causing the optical fiber on the detector probe to deform in an AC form; obtaining the phase change of the optical fiber through a demodulation algorithm, combining the frequency and amplitude of the AC voltage signal, and establishing a first relationship between the phase change and the AC voltage signal; applying an AC voltage signal in a frequency band below 0.1 Hz, and converting the frequency and amplitude of the detector probe based on the first relationship to achieve the test and calibration of the low-frequency performance of the all-fiber detector. The scheme of the present invention is based on parallel plate capacitor excitation, effectively realizing the low-frequency performance test and calibration of the fiber optic seismograph, with high detection accuracy, low detection cost, and simple operation, filling the current technical gap in the low-frequency performance test and calibration of fiber optic interferometer seismographs.

The invention provides a calibration board, a calibration component, a calibration device, a calibration system, a calibration method, a calibration system, electronic equipment and a nonvolatile readable storage medium. The calibration plate comprises a calibration carrier plate, a plurality of identification codes and a metal block; the metal block is fixed at the center of the calibration carrier plate, and the plurality of mark codes are fixed on the calibration carrier plate and surround the metal block; the identification codes carry two-dimensional code information which can be identified by the sensor, and identity information corresponding to the two-dimensional code information of all the identification codes is different. Since the two-dimensional code information on the plurality of identification codes corresponds to different identity information, the ID of the metal block can be quickly identified according to the identity information, confusion caused by over-high similarity between different metal blocks is avoided, the problem that the calibration plate is inaccurately identified by using the edge information of the calibration plate in the prior art is avoided, and the calibration precision of the vehicle sensor is improved.