175results about How to "Simplify the calibration process" patented technology

The invention relates to the technical field of environment monitoring, in particular to a coal mining environment sensing system based on multi-sensor fusion, which comprises a coal mining environment analysis module, an environment detection module, a regional analysis module, an environment sensing module and a coal mining environment early warning module, the coal mining environment analysis module determines a coal mining environment to be perceived and determines the function type of each perceived area; the environment detection module detects detection information of each sensing area; the regional analysis module determines the potential safety hazard type of each region; the environment sensing module determines an environment sensing strategy according to the potential safety hazard type of each sensing area; the coal mining environment early warning module is used for sending out early warning information; according to the method, the coal mining area is divided into a plurality of functional areas, and corresponding sensors are deployed according to the characteristics and safety requirements of each area, so that the correlation and accuracy of monitoring data are ensured, and the pertinence of data acquisition and the accuracy of coal mining environment perception are improved.

The invention provides a self-correction method of a laser radar, the laser radar, a device, electronic equipment and a computer readable storage medium, and relates to the technical field of radars, and the method comprises the steps: setting a first identifier and a second identifier which are different in position and reflectivity on the inner wall of the peripheral side of a diaphragm of the laser radar in advance, the method comprises the following steps: firstly, controlling a laser transceiving device to emit a laser beam, then acquiring a first echo signal of a first identification reflection laser beam and a second echo signal of a second identification reflection laser beam, and then calculating difference information between the first echo signal and the second echo signal; therefore, the working parameters of the laser transceiver are determined according to the difference information and the preset difference information, the self-correction of the working parameters of the laser radar is realized, the correction work does not need manual participation, does not need specific correction equipment, is not limited by sites, and is beneficial to improving the efficiency of the correction work.

The invention provides an inspection image searching method and device of a robot, electronic equipment and a storage medium, and relates to the technical field of robot inspection. The inspection image searching method of the robot comprises the following steps: acquiring a preliminary inspection image according to a preset inspection task; wherein the inspection task comprises an initial shooting parameter of the holder shooting equipment and an inspection picture configuration requirement; based on a target detection algorithm, determining pixel coordinate information of an inspection target in the preliminary inspection image; determining a target centering offset degree and a target proportion of the inspection target according to the pixel coordinate information; and determining a target shooting parameter based on the routing inspection picture configuration requirement, the initial shooting parameter, the target centering offset degree and the target proportion, so as to obtain a target routing inspection image corresponding to the routing inspection picture configuration requirement shot according to the target shooting parameter. According to the invention, the target shooting parameter is set through the preliminary inspection image, and then the target inspection image is determined, so that the calibration process before inspection is simplified, and the image quality of the target inspection image is improved.

The invention discloses a Gsensor automatic test method aiming at IC environment deviation, and relates to the technical field of inertial sensors, the method comprises the following steps: S1, placing a Gsensor in a constant acceleration field, recording output data under different power supply voltages, S2, establishing a correction model between the power supply voltages and sensor output based on the recorded output data, and S3, carrying out Gsensor automatic test according to the correction model. S3, the power supply voltage is adjusted according to the correction model, so that Gsensor output is kept stable under different power supply voltages, and S4, power supply voltage fluctuation is monitored and compensated in real time, and the accuracy of a measurement result is ensured. According to the Gsensor automatic test method for the IC environment deviation, measurement errors caused by power supply fluctuation are remarkably reduced, the stability of Gsensor output signals is improved, the test result is more accurate and reliable, and the problem of how to compensate sensor output fluctuation caused by different power supply voltages so as to solve the measurement errors caused by poor power supply stability is solved.

The present invention discloses a method and system for calibrating the zero position of a permanent magnet synchronous motor with different rotation speeds, and relates to the technical field of drive motors for new energy electric vehicles. The method includes: S1: pre-positioning the rotor position and determining the initial zero position value of the resolver; S2: controlling the drive motor to a predetermined speed; S3: implementing zero current control through a controller to allow the motor speed to drop freely; S4: adjusting the zero position value of the resolver to keep the target voltage at zero; S5: recording the zero position value of the resolver at different speeds and fitting the curve to complete the calibration. According to the technical solution of the present application, high-precision resolver zero position angle calibration can be achieved without the need for additional bench resources, which reduces the complexity of the calibration process and has high practical value.

The invention discloses an efficient somatosensory interaction prop and a physical space calibration method thereof, and the calibration method comprises the steps: S1, obtaining the internal parameters of cameras, the external parameters between the cameras, and the external parameters between the cameras and a display; s2, collecting data in interaction prop movement; s3, calculating the three-dimensional coordinate position of the light-emitting point through the internal reference of the camera and the external reference between the camera and the display, and converting the three-dimensional coordinate position of the light-emitting point to a spatial position taking the center of the display as the center of a world coordinate system to obtain the spatial position of the light-emitting point in the world coordinate system of the display; s4, interpolating the attitude data of the cascade inertial sensor IMU into the three-dimensional coordinate data of the luminous point according to a second timestamp to obtain the attitude data of the cascade inertial sensor IMU after interpolation; and S5, constructing a nonlinear equation set, and solving the nonlinear equation set to obtain the initial position and the initial attitude of the interactive prop and the relative coordinates of the luminous point in the space.

The invention relates to an illumination light field correction method and system for quantitative fluorescence resonance energy transfer microscopic imaging. The method comprises the following steps: S1, establishing an image non-uniformity correction model; s2, measuring a dark field signal distribution function; s3, measuring a background signal distribution function and a background correction coefficient; s4, measuring a foreground signal distribution function and a foreground correction coefficient; s5, repeating the steps S2-S4 to respectively obtain dark field, background and foreground signal distribution functions and background and foreground correction coefficients of the FRET three channels; and S6, based on an image non-uniformity correction model, correcting the non-uniformity of the FRET three-channel fluorescence image of the living cell by using the measured signal distribution function and the correction coefficient. According to the method, reference samples do not need to be prepared repeatedly, illumination non-uniformity in a microscopic imaging system can be effectively corrected only through one-time measurement, the proportion of FRET three-channel image gray levels can be kept, and therefore the accuracy of quantitative FRET measurement is guaranteed while the available data amount in a single-frame large-view image is greatly increased.

The invention discloses a transformer substation transient electric field sensor calibration method and system, and relates to the technical field of transformer substations, and the method comprises the steps: placing an electric field sensor in a transverse electromagnetic wave cell, and placing a field intensity probe at the upper half part of the cell to measure the electric field intensity. The first feed-in power is recorded by changing the excitation source injection cell. Then, the field intensity probe is taken out, and the electric field sensor is put back to the original position for steady-state calibration. Constructing a transient calibration test loop, generating a high-voltage pulse signal, thereby generating a transient electric field environment, and carrying out transient calibration on the electric field sensor; according to the invention, high-precision steady-state and transient-state calibration of the sensor is realized, and the measurement accuracy and reliability are obviously improved; the calibration process is simplified, the operation convenience is improved, and the compatibility of the sensor in a complex electromagnetic environment is enhanced; accurate calibration is beneficial for finding potential problems, prolonging the service life of the sensor and reducing the maintenance cost, so that the safety and the stability of a power system are integrally improved.

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 belongs to the technical field of robots, and discloses a quick'eye-on-hand 'hand-eye calibration method for accurate clamping at the tail end of a robot, which is used for independently calibrating two relative relations of rotation and translation of a coordinate system in order to reduce the solving difficulty of a nonlinear optimization problem. The method comprises the following steps: firstly, obtaining a CCS rotation matrix which is the same as an ECS through a three-step rotation calibration process; a translation vector between the CCS and the ECS is then calculated using the coordinate transformation. And finally, the relative relation between the center of a clamping jaw at the tail end of the robot and the binocular camera is calibrated, and real-time, in-place and accurate clamping of visual guidance is achieved. According to the method, high-precision positioning of the tail end of the robot for accurate clamping can be achieved, after calibration is completed, the center of a clamping jaw at the tail end of the robot can be accurately guided to any space target point in real time through a binocular camera, and extra LT guiding is not needed.

The invention relates to the technical field of semiconductor test equipment, in particular to a full-automatic high-precision probe station, which utilizes multi-physics field coupling sensing and compensation to remarkably improve the positioning precision: by comprehensively collecting multi-physics field data such as a temperature field and a stress field and combining a coupling algorithm to optimize a compensation strategy, multi-factor interference is effectively counteracted, and the accuracy of the probe station is improved. The positioning repetition precision can reach + / -0.05 [mu] m, and the test requirement of the advanced semiconductor technology is met; a dynamic three-dimensional modeling technology and dynamic adaptability enhancement are achieved, a dynamic three-dimensional modeling system with the size affected by multi-physical field data can update the form of a test target in real time, test deviation caused by target deviation or surface fluctuation is avoided, and the adaptability of equipment to a complex test scene is improved. The automation degree is high, the testing efficiency is improved, the whole process of data acquisition, modeling, compensation and testing can be completed without manual intervention, the calibration process is simplified, the testing period is shortened, and the method is suitable for batch detection scenes.

The invention discloses a series-parallel robot kinematics calibration method for working area optimization. The method comprises the following steps: analyzing a geometric error source influencing the tail end precision of the hybrid robot, and establishing a kinematic model containing error terms; a laser tracker is used for collecting the difference value between the real coordinates of the tail end point and the output coordinates of the error model in the reachable range of the hybrid robot to generate a residual function; according to the distribution of the measurement points in the working area in the maximum reachable range of the hybrid robot, weighting operation is carried out on the residual function, and an improved particle swarm algorithm fitness function is generated; using an improved particle swarm algorithm to iteratively identify geometric errors of the hybrid robot; the identified error is compensated to a controller, and kinematics calibration of the robot is completed; the kinematics calibration method provided by the invention is simple and efficient, and can be applied to most parallel and hybrid robots.

The invention discloses a surface Rockwell hardness block full-automatic metering and checking system which comprises a support used for installing a driving system A, a driving system B, a working platform and a connecting rod. The working platform is used for placing a surface Rockwell hardness block to be calibrated; the upper end of the connecting rod is connected with the displacement measuring sensor, the grating displacement measuring system and the measuring pressure head, and the lower end is connected with the weight tray; the weight tray is used for supporting a standard weight; the plurality of groups of standard weights are supported in the bracket in an up-and-down sliding manner; the weight selection rod is provided with a plurality of weight selection clamping supports and is in driving connection with the driving system B; the driving system A is used for lifting or lowering the weight tray; and the computer is used for setting a hardness calibration point, controlling the movement of the driving system, collecting displacement values measured by the displacement measurement sensor and the grating displacement measurement sensor, and calculating a hardness indication error by combining the displacement values of the displacement measurement sensor and the grating displacement measurement sensor. According to the invention, automatic metering calibration of the surface Rockwell hardness block is realized.

The invention discloses a light field space alignment detection and correction system and method based on an optical interferometer, the inclination angles of a second beam splitter, a third beam splitter, a first plane mirror and a second plane mirror are the same, two light beams to be aligned and detected are emitted to the second beam splitter and are equally divided into two identical light beams by the second beam splitter, and the two identical light beams are emitted to the first plane mirror. One beam is reflected by the first plane mirror and then enters a third beam splitter, the other beam passes through the second plane mirror and a Dove prism which is horizontally arranged and then enters the third beam splitter, the two beams of light entering the third beam splitter are combined to obtain two different beams of light, one beam is in a symmetrical mode, and the intensity of the beam is detected through a photoelectric detector; the other beam is in an antisymmetric mode, and the intensity of the other beam is detected through a photoelectric detector. The device is simple in structure, the detection and correction process is greatly simplified, and targeted correction can be carried out according to the detection result.

The invention relates to the technical field of electromagnetic metering, and provides a broadband power standard source calibration device and method.The broadband power standard source calibration device comprises a broadband electric quantity acquisition and analysis system which comprises a main control computer, a data acquisition unit and an external synchronous clock source, and a sampling beat receiving channel of the data acquisition unit is connected with the external synchronous clock source; analysis software of the main control computer is used for analyzing and processing signals from the data acquisition unit; the broadband voltage conversion unit is connected with a first synchronous sampling channel of the data collector; the broadband current conversion unit is connected with the second synchronous sampling channel; and an automatic dynamic compensation mathematical model group for amplitude and phase is stored in analysis software of the main control computer. The broadband power standard source calibration device has the advantages that by dynamically compensating the amplitude error between channels and the phase delay between the channels of the digital collector, the conversion ratio relative error and angular difference of the broadband voltage conversion unit and the broadband current conversion unit are dynamically compensated, and the accuracy of power calibration of the broadband power standard source is improved.

The invention provides a PTZ (Pan / Tilt / Zoom) camera calibration method and device for high-precision geographic positioning. The method comprises the following steps: step S101, acquiring internal parameters of a PTZ camera under a plurality of zoom parameters; s102, training a preset machine learning model by taking the internal parameters of the PTZ camera under the plurality of zoom parameters as training data, and establishing a change relationship between the zoom parameters of the PTZ camera and the internal parameters according to the machine learning model after the training is completed; step S103, establishing a plurality of control points and a plurality of check points on the ground, calculating external parameters of the PTZ camera based on the plurality of control points, the plurality of check points and the change relation between the zoom parameters and the internal parameters, and verifying the calibration precision and / or adjusting the machine learning model; and step S104, based on the pan-tilt of the PTZ camera and the machine learning model, obtaining a change relationship between the zoom parameter and the external parameter of the PTZ camera. According to the method, the internal parameters and the external parameters of the PTZ camera can be accurately obtained under multiple zoom parameters, the calibration process is simplified, and the calibration efficiency and precision are improved.

The invention discloses an external parameter calibration method, calibration device and calibration system of a line laser module, and the external parameter calibration method comprises the following steps: A, calculating a yaw angle based on a line laser point set formed by transmitting a line laser transmitter to a vertical calibration plate; step B, calculating a pitch angle under the condition that the vertical calibration plate displaces relative to the line laser module; c, on the basis of the yaw angle and the pitch angle, coordinate transformation is conducted on a line laser point set formed by transmitting the line laser transmitter to the horizontal calibration plate, and a laser mapping point set is obtained; then calculating a rolling angle by using the laser mapping point set; and D, performing coordinate transformation on the laser mapping point set by using the rolling angle to obtain a calibration horizontal plane point set, and marking the average height of the calibration horizontal plane point set as the calibration external parameter of the line laser module. The calibration requirement of the line laser module in a scene with a low precision requirement is met, and the calculation amount is small.

The invention discloses a method and terminal for detecting glass defect characteristics, and the method comprises the steps: carrying out the line-by-line scanning of glass through employing a line-scan digital camera, and switching a preset type of light source condition for each line of image during the scanning; respectively acquiring exposure data of each row of images under a corresponding light source condition; splitting the collected exposure data into a plurality of sub-images according to light source conditions, and splicing image lines under each light source condition to generate corresponding independent light source images; based on each independent light source image, extracting an image with clearest defect features as an optimal image; and performing defect detection on the optimal image by using a deep learning model, and outputting defect positions and types.

The invention is suitable for the technical field of display screen correction, and provides a display screen correction method, electronic equipment and a computer program product, and the method comprises the steps: obtaining the specified brightness and chrominance information of a new box body in a display screen under the current gray scale level; determining an initial correction coefficient required when the new box body displays white based on the specified brightness and chrominance information; based on the initial correction coefficient and the specified brightness and chrominance information, determining a correction conversion matrix for the new box body; determining a target correction coefficient for the new box body based on the existing brightness and chrominance information of the old box body in the display screen and the correction conversion matrix; and correcting the new box body based on the target correction coefficient to obtain target brightness and chrominance information of the new box body. According to the invention, a single-box-based correction mode can be realized, the correction process is simplified, and the correction efficiency of the display screen is improved.

The present invention provides a binocular calibration method, device and storage medium for a wearable device, wherein the method comprises: moving the wearable device based on a calibration plate, and two cameras of the wearable device taking multiple photos of the calibration plate from different viewing angles and positions; calibrating the internal parameters of each camera through a plane homography relationship, the internal parameters including the horizontal coordinate and vertical coordinate of the optical center of the camera, the focal length of the camera in the horizontal and vertical coordinate directions, and distortion parameters; calibrating the external parameters between the two cameras according to the internal parameters of each camera and the positional relationship of the calibration plate relative to the two cameras of the wearable device, the external parameters being the rotation matrix and translation vector of the right camera relative to the left camera; and performing binocular correction on the two cameras of the wearable device to obtain a stereo correction matrix. The present invention shortens the debugging time, simplifies the calibration process, improves the calibration efficiency, and is conducive to large-scale mass production of wearable devices.

The invention discloses an FPGA comprehensive tool performance verification method and device and a readable storage medium, and the verification method comprises the steps: obtaining the ownership condition of resources in a test device, and obtaining a test case according to the ownership condition of the resources to obtain a test case set; based on the test cases in the test case set, performing at least one of the following verifications on the to-be-tested FPGA comprehensive tool on the test device: executing a comprehensive process on the test cases under different memory limitations to verify the running stability performance; executing a comprehensive process from different levels of the test case to verify resource optimization performance; executing a comprehensive process from different levels of the test case to verify time sequence processing performance; and executing a comprehensive process on the test case in different ways to verify the resource balance performance. According to the embodiment of the invention, the introduction of an additional FPGA comprehensive tool is avoided, so that the verification of the performance of the FPGA comprehensive tool is realized in a simple and quick manner.

The present invention relates to the field of environmental monitoring technology, and in particular to a coal mining environment perception system based on multi-sensor fusion, comprising a coal mining environment analysis module, an environment detection module, a regional analysis module, an environment perception module and a coal mining environment early warning module; the coal mining environment analysis module determines the coal mining environment to be perceived, and determines the functional type of each perception area; the environment detection module detects the detection information of each perception area; the regional analysis module determines the type of safety hazard in each area; the environment perception module determines the environment perception strategy according to the type of safety hazard in each perception area; the coal mining environment early warning module is used to issue early warning information; the present invention divides the coal mining area into multiple functional areas, and deploys corresponding sensors according to the characteristics and safety requirements of each area, so as to ensure the relevance and accuracy of monitoring data, and improve the pertinence of data collection and the accuracy of coal mining environment perception.

The present application relates to a photoelectric sensor and a method for detecting an object. A photoelectric sensor (10) for detecting an object in a monitoring area (16, 120, 212) is provided, wherein the sensor (10) has: a laser scanner (110) having a deflection unit (112) rotatable about a rotation axis (118), the deflection unit being used to scan the monitoring area (120) with at least one scanning beam (126, 128); and a first distance measuring unit (140) being used to determine a 3D measurement point of a corresponding object scanned by the scanning beam (126, 128) using a light time-of-flight method; a panoramic camera (210) having a panoramic optical device (216) and an image sensor (218), the image sensor having a plurality of light receiving elements for detecting image points; and a control and evaluation unit (14, 140, 222) configured to fuse 3D measurement points and image points. In this case, the optical axis (220) of the panoramic camera and the rotation axis (118) coincide.

The invention relates to a precision optical measuring instrument calibration technology, and discloses a parameter calibration method and system for a four-photoelastic modulator type Mueller matrix polarization system, and the method comprises the steps: carrying out a polarization experiment; introducing an analysis arm base vector and a polarization arm base vector containing dynamic parameters, and establishing a calculation model of the light intensity signals, the base vectors and a light intensity projection matrix; through a polarization experiment and a calculation model, dynamic parameters in base vectors of a polarization detection arm and a polarization starting arm are calibrated by using a nonlinear regression method, and the dynamic parameters comprise the peak retardation, the modulation frequency and the initial phase of the photoelastic modulator. Furthermore, a matrix containing static parameters of the system is obtained through a characteristic value calibration method and is directly used for measurement, and the static parameters comprise the azimuth angle of the polarization element and the static delay amount of the photoelastic modulator. According to the method, the base vector is introduced, the light intensity is detected through nonlinear regression projection, the calibration of dynamic parameters is realized, then the static parameters are calibrated by using the characteristic values, the operation is simple and convenient, and the calibration precision is high.

The invention relates to an industrial robot control method. The industrial robot control method comprises the following steps: S1, initializing a system: setting an initial position coordinate, an attitude angle and a speed of a robot; s2, state acquisition: high-precision position sensors and speed sensors are mounted on a base, arm joints and an end effector of the robot to cover all degrees of freedom of the robot, sensor data including a position Pt and a speed Vt are recorded regularly, and position coordinates and speed of each joint are recorded; and S3, deviation calculation: calculating the ideal position of the robot according to the theoretical model, and extracting the actual position of the robot from the position sensor data. According to the overall system provided by the embodiment of the invention, the improved particle swarm optimization algorithm is introduced, real-time online correction of the positioning deviation of the robot is realized, manual intervention is not needed in the process, the system automatically responds, and it is ensured that the robot can keep high-precision operation performance in various complex environments.

This invention provides a depth mapping calibration method and system based on liquid lens control parameters, belonging to the field of optical measurement calibration technology. The calibration method includes: acquiring calibration points at multiple known depth locations corresponding to the liquid lens control parameters and depth locations; preprocessing the calibration points; establishing a bidirectional mapping relationship between the control parameters and depth locations using a monotonically holding piecewise interpolation fitting algorithm (preferably PCHIP); and saving the calibration configuration. This invention solves the depth measurement accuracy problem caused by the nonlinear response of the liquid lens, achieving scan control with equal physical depth steps through precise calibration mapping, thus improving the accuracy and stability of depth-focused three-dimensional measurement. The method has a simple calibration process, is suitable for rapid on-site calibration, and its unified configuration management facilitates traceability.

The utility model relates to the technical field of water faucet, concretely relates to a bathroom faucet convenient to assemble, technical solution main points include valve body, valve core subassembly, end cover and handle, the hot water flow channel, cold water flow channel, water outlet flow channel and installation groove are arranged in the valve body, the tank bottom of installation groove sets up hot water hole, cold water hole and water outlet hole, the isolation department is arranged in the valve body, the isolation department is symmetrically arranged two and separates hot water and cold water, two isolation departments form the hook groove area, the canyon area, hot water hole, cold water hole are in the hook groove area, and water outlet hole is in the canyon area, and at least two positioning grooves are arranged on the tank bottom, the positioning column of two with the positioning groove insertion is arranged on the valve core subassembly, makes the water pass hole of valve core subassembly and hot water hole, cold water hole and water outlet hole mutually coincide. The utility model realizes reliable convenient assembly through above -mentioned structure.

The invention relates to the field of phased radars, and discloses an active phased array radar calibration method, which is used for improving the accuracy of actually measured phase data. Comprising the following steps: calculating theoretical excitation phases of radiation units according to an antenna array physical geometric structure and a target beam directional angle; enabling the antenna to sequentially excite the radiation units and collect coupling signals in a single-channel mode, and performing analysis to obtain an actually measured amplitude, a phase and a phase deviation; synthesizing the theoretical excitation phase and the phase deviation to generate an actual emission phase, and constructing a phase compensation lookup table; and after compensation by using the lookup table, measuring the actual directional diagram, and if not, performing fine adjustment. The calibration precision and reliability are improved, and the high-precision detection requirement of the active phased array radar can be met.

The invention provides a spark source atomic emission spectrometry determination method for acid-soluble aluminum and inclusion aluminum, and belongs to the technical field of assessment of inclusions in steel. The spark source atomic emission spectrometry determination method for acid-soluble aluminum and inclusion aluminum comprises the following steps: establishing a calibration curve of all aluminum, then determining integral intensities of inclusion aluminum, all aluminum and acid-soluble aluminum in a sample under corresponding conditions, and calculating the intensity of the inclusion aluminum by using a difference value between the integral intensities; selecting two standard samples with adjacent strength according to the strength of aluminum inclusion in the sample, and calculating a calibration coefficient K according to the aluminum content Al% lt; the excitation rate F is calculated according to the peak integral intensity of the inclusion aluminum and the integral intensity of the total aluminum in the 0.0007% standard sample, the inclusion aluminum content Als% is equal to K * F * (IAlt-IAls), and the content of the acid-soluble aluminum is equal to the difference between the content of the total aluminum and the content of the inclusion aluminum. According to the method, the accuracy of a measurement result is effectively improved while high analysis speed, low cost and simplicity and convenience in operation are ensured.

The invention discloses a method and device for measuring the size of irregular objects, and relates to the field of optical measurement. The method is used to solve the problem that the method for measuring the size of irregular objects is complicated and has low precision when the lens with nonlinear distortion is too large. The method comprises: extracting the edge of the object from the image of the irregular object obtained by a large distortion camera to obtain the outermost edge coordinates of the irregular object; adding the four outermost edge coordinates corresponding to the longitudinal coordinates and the horizontal coordinates respectively included in the irregular object to the outermost edge point set; obtaining the four corner point coordinates of each outermost edge coordinate on the chessboard calibration plate according to the outermost edge coordinates and the chessboard corner points, and the four corner point coordinates belong to the image edge coordinate set; connecting the four corner point coordinates corresponding to each outermost edge coordinate diagonally to obtain the intersection point, traversing to determine the distance between each intersection point and the corresponding outermost edge coordinate, until the distance between each intersection point and the corresponding outermost edge coordinate is less than a third set value; obtaining the size of the irregular object according to the number of complete chessboards between the outermost edge points in the horizontal direction, the number of complete chessboards between the outermost edge points in the vertical direction, and the proportion of the area where the outermost edge point is located to the chessboard.