451results about How to "Reduce calibration costs" patented technology

The invention discloses a calibration method of correlation between a single line laser radar and a CCD (Charge Coupled Device) camera, which is based on the condition that the CCD camera can carry out weak imaging on an infrared light source used by the single line laser radar. The calibration method comprises the steps of: firstly, extracting a virtual control point in a scanning plane under the assistance of a cubic calibration key; and then filtering visible light by using an infrared filter to image infrared light only, carrying out enhancement, binarization treatment and Hough transformation on an infrared image with scanning line information, and extracting two laser scanning lines, wherein the intersection point of the two scanning lines is the image coordinate of the virtual control point in the image. After acquiring multiple groups of corresponding points through the steps, a correlation parameter between the laser radar and the camera can be solved by adopting an optimization method for minimizing a reprojection error. Because the invention acquires the information of the corresponding points directly, the calibration process becomes simpler and the precision is greatly improved with a calibrated angle error smaller than 0.3 degree and a position error smaller than 0.5cm.

The invention discloses an online calibration system and an online calibration method for ununiformity of an LED (light-emitting diode) display screen. The online calibration system and the online calibration method mainly solve problems that an existing test method is only used for testing brightness uniformity, tested brightness uniformity index cannot reflect an overall performance of an LED display screen, and ununiformity calibration cannot be carried out according to tested data. The online calibration method includes steps of acquiring test images displayed by the LED display screen by a camera, and dividing LED lamp points by a method based on background prediction after noise is eliminated; repositioning luminous zones of the lamp points and component pixels of the luminous zones; and then mixing the lamp points to form colors of the pixels, and fitting acquired chromaticity coordinates of the lamp points to form a Gaussian curve after gross errors are eliminated, and solving a mean value of the chromaticity coordinates; substituting the mean value of the chromaticity coordinates into a uniformity evaluation formula to evaluate the uniformity; and finally generating a calibration matrix and performing online real-time online ununiformity calibration point by point. The online calibration method for the ununiformity of the LED display screen is high in precision and efficiency and good in stability, is simple, convenient and feasible, and is capable of being used for testing a uniformity display performance and ununiformity calibration for the LED display screen.

The invention discloses a laser radar two-step calibration method based on a calibration field. The method comprises steps of establishing a calibration field; carrying out calibration; preparing angle calibration; networking a theodolite; scanning a laser radar; measuring the theodolite; establishing an angle correction equation; calculating an angle correction coefficient; establishing a base line field; measuring the laser radar; measuring the theodolite; establishing a distance correction equation; and calculating a distance correction coefficient. According to the invention, rapid calibration of the laser radar is achieved without taking a precisely designed and processed calibration device as a calibration standard; a problem of too high requirements on a test place, the calibration field and the calibration device in the normal method is solved; through cooperation of a rotation bench, the whole test process is achieved, the test difficulty level is reduced and a difficulty in ensuring precision of full field-of-view angle correction in the normal method is solved; and through the test of the calibration field and the base line field step by step, effects of correcting separation distances in a calibration model are achieved and disadvantages in mutual coupling of distance parameters and angle parameters in the normal method are overcome.

The invention discloses a method and device for jointly calibrating the parameters of a visible light camera and an infrared camera. The method comprises steps of: detecting the edges of a visible light image and an infrared image to obtain a visible light edge image and an infrared edge image; acquiring at least four groups of matched point pairs of the visible light edge image and the infrared edge image by using a scale invariant feature transform (SIFT) algorithm; and determining an extrinsic parameter matrix according to the at least four groups of matched point pairs, the intrinsic parameter matrix of the visible light camera, and the intrinsic parameter matrix of the infrared camera. The method and the device may acquire the matched point pairs in the visible light edge image and the infrared edge image without a calibration board and determine the extrinsic parameter matrix without the calibration board so as to reduce the calibration cost of camera parameters. Further, when a focal length of the camera is changed, the extrinsic parameter matrix can be determined without camera position adjustment so that parameter calibration efficiency is increased.

The invention relates to a grain storage quantity detection method for horizontal warehouses and shallow silos. The grain storage quantity detection method comprises the following steps of: firstly selecting specific pressure sensors to lay a grain warehouse pressure sensor detection network; distributing the pressure sensors along the side wall of the grain warehouse in the mode that all the pressure sensors are evenly-spaced laid at d meter distance from the side wall; and determining whether a grain warehouse is calibrated or not so as to obtain a calibration parameter and a grain warehouse weight prediction model, spreading the top surface of a grain pile in the grain warehouse after the grain warehouse is fully filled with the grain, detecting the average output valve of the pressure sensor at the bottom of the grain warehouse, and detecting the grain storage quantity of the grain warehouse according to an actually-tested bottom surface area of the grain warehouse, a bottom surface area of the calibrated grain warehouse and calibrated parameters by using a model so as to obtain an estimated value of the weight of the grain warehouse. According to the grain storage quantity detection method provided by the invention, the pressure sensors are required to be arranged on the bottom surface of the grain warehouse, and a compensating item of a side grain warehouse friction action is added into a bottom surface pressure estimating model in order to avoid using the side pressure sensor and accurately obtain the estimated value of the pressure of the bottom surface of the grain warehouse, so that the quantity of the sensors is obviously reduced, and the device detection cost and the installation and maintenance cost are reduced.

The invention discloses a calibration system of a temperature sensor chip, which comprises a test board and a temperature calibration system, wherein the test panel is provided with a temperature sensor reference chip and a chip to be calibrated; and each chip is connected and communicates with the temperature calibration system through a unified digital interface. The temperature calibration system reads the temperature values of various calibration chips and reference chips through the unified digital interface; and various chips to be calibrated simultaneously acquire the data, thereby realizing synchronous acquisition and calibration of multichip data, greatly improving the acquisition efficiency of the data and reducing the test and calibration time of the chips and calibration cost. The invention has the advantages of simple structure, easy building, short calibration time, high calibration efficiency, low cost, high degree of automation and the like. The invention also discloses a calibration method of the temperature sensor chip.

The invention provides a method and a dehvice for the zero point calibration of a gas pressure sensor, which comprises the steps that: when a brake cylinder is released, the pressure value of the brake cylinder is obtained; the releasing process is judged to be normal or abnormal according to the time the pressure value is obtained and according to the pressure value; when the releasing process isnormal, the pressure value of the brake value is judged to whether reach zero or not; when the pressure value of the brake reaches zero, the pressure value obtained currently is compared with a pre-stored composite error nominal value; when the pressure value obtained currently is smaller than or equal to the composite error nominal value, the pressure value obtained currently is regarded as a zero point correct value; and the zero point of the gas pressure sensor is calibrated according to the zero point correct value. The method and the device can solve the problem of zero point drift and have simple operation and lowered workload and calibration cost.

The invention provides a model-based gasoline engine calibration method, belongs to the technical field of gasoline engines, and designs and develops a statistical model based gasoline engine calibration method mainly for a dynamic property optimized calibration process of a gasoline engine. The model-based gasoline engine calibration method comprises the following steps: (1), design of test operating points, (2) establishment of a mathematical statistics model and (3), optimization of calibrating procedure design, wherein firstly, relatively fewer test points can be selected in a test design phase so as to reduce workload; then an engine statistical model is established with a mathematical statistics method after related data are acquired; and finally, optimized calibration is performed on the basis of the statistical model. Under the premise that the performance of the gasoline engine is improved without loss of calibration accuracy, the model-based gasoline engine calibration method has the advantages as follows: time is saved, the cost is reduced, the output torque is increased, and the problems that the traditional manual calibration method is time-consuming, labor-consuming and low in efficiency and the conventional automatic optimized calibration equipment is complicated in technology and expensive are solved.

The invention aims at providing a single-axle table calibration method for a fiber optic gyro strapdown inertial navigation system. The fiber optic gyro strapdown inertial navigation system is placed on a single-axle table, the fiber optic gyro strapdown inertial navigation system is electrified for preheating, the angular velocity outputted by a fiber optic gyro and the specific force outputted by a quartz flexible accelerometer are collected, then the single-axle table is controlled to rotate at 90 degrees counter-clockwise around a rotating shaft three times, the angular velocity outputted by the fiber optic gyro and the specific force outputted by the quartz flexible accelerometer at each time are respectively collected, and the drift of the fiber optic gyro in an x, y and z-axis coordinate system of an inertia device and the zero bias value of the quartz flexible accelerometer in the x, y and z-axis coordinate system of the inertia device are further obtained. The method can measure the drift of the fiber optic gyro and the zero bias value of the quartz flexible accelerometer by utilizing the single-axle table to rotate into different angular positions; furthermore, the calibration cost of the single-axle table is low, the steps are simple, and the single-axle table only needs to be placed on the ground during the calibration without a laboratory.

The invention discloses a calibration method and device for an angle encoder. The method comprises the steps that a stepping motor is controlled to rotate by at least 360 degrees step by step, the angle data of the stepping motor after the stepping motor rotates by the appointed angle are collected step by step through a high-precision encoder and the angle encoder to be calibrated so as to obtain a plurality of angle data sets, error factors are initialized, a plurality of error factor sets are generated and serve as particles, and an optimal error factor set is selected as a calibration result to be output according to the particle swarm optimization and the angle data set. The device comprises a host, a stepping motor controller and a base support. The base support is provided with the stepping motor and the high-precision encoder. An output shaft of the stepping motor is respectively connected with the angle encoder and the high-precision encoder. The high-precision encoder and the angle encoder are respectively connected with the host. The stepping motor controller is connected with the stepping motor. The device has the advantages of being high in calibration precision, low in calibration cost, small in needed calibration data size and high in calibration speed.

The invention relates to a space camera in-orbit absolute calibration method based on a fixed star. According to the method, the dynamic adjusting capability of a satellite platform attitude machine is adequately utilized, a corresponding relation between a fixed-star source with stable target radiation characteristic and a gray value output by a space camera is established, and the space camera in-orbit absolute radiation calibration is realized according to the advantages of the fixed star imaging and the optimized absolute calibration algorithm. An imaging mode adjusted by satellite attitude is adopted, the requirement for a calibration environment is low, an additional calibration device is not needed, and the in-orbit absolute calibration does not depend on the special calibration field, so that the calibration cost is remarkably reduced, and the calibration time is saved.

The invention discloses a calibration method and device of a blade digitalized templet detection system, and relates to the technical field of visual measurement. The method comprises that camera calibration is carried out on first and second visual sensors; laser knife planar calibration is carried out on the two visual sensors; motion direction calibration is carried out on the two visual sensors according to camera and measurement parameters; the camera parameters of the two visual sensors are converted into a measurement coordinate system; the position relation of the two visual sensors iscalibrated; the measurement parameter in the measurement coordinate system of the second visual sensor is converted to the measurement coordinate system of the first visual sensor; the system coordinate system is calibrated; and the measurement coordinate system of the first visual sensor is converted to the system coordinate system. The calibration method is complete.

The invention provides a micro inertial measurement unit screening method and a combined type micro inertial measurement device. In the screening method, according to a multi-position method, an angular speed conversion matrix is calculated, the spinning top z-axis zero-offset data, changing along with temperature, of the combined type micro inertial measurement device is calculated, and micro inertial measurement units are screened with the minimum curve fitting residual error, changing along with temperature, of spinning top x-axis/y-axis/z-axis zero-offset data of the combined type micro inertial measurement device as the standard; the combined type micro inertial measurement device comprises at least two micro inertial measurement units capable of measuring angular speeds of three axes. The micro inertial measurement units are arranged on an installation platform. The combined type micro inertial measurement device has the advantages that the micro inertial measurement units low in price can be combined to establish an inertial measurement system high in performance, cost is saved, higher reliability is achieved, the influences of temperature changes on spinning top zero-offset are reduced, and effective error compensation of the inertial measurement device is achieved.

The invention provides a depth camera automatic calibration algorithm based on three-dimensional feature points. According to the calibration algorithm, calibration work of a depth camera can be completed at a time by using two depth images and corresponding three-dimensional feature pixel points. The method comprises the following steps: firstly, combining a depth camera measurement model and a classical camera calibration model according to known coordinates of characteristic pixel points in a three-dimensional space, coordinates of corresponding points in a depth image and an original erroroffset to obtain a basic calibration model of a depth camera; secondly, obtaining an initial value of an internal parameter of the camera through an internal parameter constraint condition of the depth camera, and obtaining an external parameter according to the initial value of the internal parameter; and finally, optimizing the established depth image error control function to obtain an optimalparameter of the depth camera. According to the calibration algorithm, a traditional calibration model of the depth camera is simplified, the defect that classic calibration is affected by illumination conditions, scene uncertainty and the like is overcome, internal and external parameters of the camera are accurately obtained, a good restoration effect on edge distortion of the depth image is achieved, and the calibration algorithm has the advantages of being easy to operate, high in calibration precision, good in practicability and robustness and the like.

The embodiment of the invention discloses a calibration method and device of a coverage database. The method of the embodiment of the invention comprises the following steps: a measurement control message is sent to a terminal in a network coverage area, and the measurement control message is the information indicating the geographic position of the terminal which is carried by the terminal supporting a global positioning system (GPS) in a reported measurement report; the measurement report sent by the terminal is received; and if the measurement report contains signal strength and the geographic position information, the district signal strength and the geographic position information of the terminal are stored in the coverage database. With the scheme disclosed by the invention, the calibration time and the calibration cost are reduced, and the positioning technology is convenient to apply and popularize.

The invention relates to a double-mechanical arm calibration method based on camera optical axis constraint. The double-mechanical arm calibration method comprises the following steps that firstly, adouble-mechanical arm calibration system is established; secondly, a parameter calibration equation based on an error model is established; thirdly, feature point alignment and position data based onvisual control is acquired; and fourthly, the calibration equation is solved. According to the double-mechanical arm calibration method, the double-mechanical arm calibration system is established only through a camera and a checkerboard calibration plate, operation is easy and convenient, an expensive high-precision instrument and an elaborate calibration tool are not needed, and the calibrationcost is reduced; the calibration precision is higher, the number of the calibration steps is smaller, and the operation is more convenient; a visual control method based on images is used for controlling movement of a drive mechanical arm, feature points are automatically aligned to a camera optical axis, professional operation is not needed in the calibration process, and only an operator is needed to carry out simple supervision; and the double-mechanical arm calibration method is suitable for various double-arm cooperative systems and high in calibration precision, and a calibration resultcan meet requirements of most double-arm cooperative tasks.

A three-frame four-axis inertial platform error calibration method based on a navigation datum system comprises the following steps: with an X accelerometer input shaft as a datum axis, establishing a datum coordinate system OXYZ calibrated by a platform system; based on the datum coordinate system, establishing a platform system accelerometer output error model including an accelerometer installation error, a gyroscope drift error model and a frame angle output error model; and then according to the above three models, completing a calibration work of a three-frame four-axis inertial platform. Relying on a high-precision accelerometer on the platform, the navigation method is adopted to achieve self-calibration, and thus the calibration method is greatly simplified, the calibration cost is reduced, and the calibration accuracy is improved.

The invention discloses a multi-color LED spectrum and illumination matching method. The method is characterized by, to begin with, obtaining spectrum sample data of a single LED in each color through sampling and measuring; then, carrying out transition on spectrum and illumination to be matched to obtain corresponding target spectrum radiance distribution; and finally, carrying out iterative matching through a differential evolution algorithm to obtain a driving value of each LED. The invention also provides corresponding spectrum and illumination matching evaluation indexes for evaluating the matching results. The method solves the defects of an existing spectrum matching method, can realize illumination matching while carrying out spectrum matching, can obviously reduce calibration cost due to LED mixed light source maintenance and updating, and is simple to operate and easy to implement. Besides, the problem of spectrum change due to heat of an LED light source is solved in the matching process, and the method can meet requirement for spectrum and illumination simultaneous matching in the practical application.

The invention relates to a method for calibrating a digital oscilloscope, comprising the following steps: S1: inputting a standard signal; S2: judging whether calibration is required, if so, performing S3, otherwise, performing S4; S3: adjusting corresponding parameters and performing S2; and S4: terminating. The above method for calibrating digital oscilloscopes needs no special calibrating instruments, and can finish various calibration processes only by inputting a standard signal and adjusting corresponding parameters, thus lowering calibration cost greatly. A user can use the above calibrating method for calibrating digital oscilloscopes at any time, therefore, the stable degree of the calibration results can be ensured.