40results about How to "Calibration results are reliable" patented technology

The invention discloses a calibration method of a fish-eye lens imaging system applied to target detection, which comprises the step of mathematical modeling of the fish-eye lens imaging system based on an equidistant projection and the precise calibrations of the intrinsic parameters of the imaging system (including the central point O3(u,v) of an imaging surface), the distance L between the top section of the fish-eye lens and a theoretic refractive optical center plane, the radial distortion coefficient K of the fish-eye lens, an image element aspect scale factor i, the plane torsional angle gamma between a camera coordinate system and an imaging surface coordinate system, various parameter calibration methods and matched software. The method aims at the omnidirectional vision system based on the fish-eye lens, analyzes the optical structure and the imaging principle of the fish-eye lens and introduces deformation parameters so as to establish the physical model of the fish-eye lens imaging system and then deduce the mathematical model of the system. With an independently-developed calibration procedure, three-dimensional space information is obtained from a two-dimensional image and applied to the calibration of imaging system parameters. The method is applicable to the calibration of various fish-eye type panoramic lenses, is convenient and accurate and has strong practicability.

The present invention is navigation system and method backing up several modes. The navigation system includes fixed imaging equipment, tracking system, surgical operation equipment, sick bed, calibrating pin, calibrating mold and navigation software. It has at least one tracer constituting the world coordinate system, one surgical operation equipment tracer as the surgical operation equipment coordinate system, one sick bed tracer constituting the sick bed coordinate system, one characteristic point set I and one characteristic point set II set inside and outside the calibrating mold separately. After calibration, the disease focus image and the surgical operation equipment are shown in the same coordinate system. The present invention may be used widely in the navigation course of different surgical operations.

The invention provides a laser targeted integral calibration method by aiming at large-size 6D laser target, which relates to the field of large-size space six-degree-of-freedom attitude measurement,and fully uses the advantages of high precision and programmable control of a precious triaxial rotary table. Artificial participation part is not contained during a process, the calibration reliability is increased, and the calibration efficiency is greatly increased. The integral calibration method uses an external frame and a middle frame of the precious triaxial rotary table to drive the 6D laser target to rotate at front of emitting light of a total station to construct a measured control field, the projection position of a light vector under a camera coordinate system is calculated, thereal projection position of the camera is obtained through detection, an attitude relation equation of a clinometer coordinate system and a rotary table coordinate system is established to obtain an attitude relation of the clinometer coordinate system and the camera coordinate system, and the unknown relation parameters in a 6D laser target resolving model can be calibrated. The method can be mainly used for six-degree-of-freedom attitude measurement.

The invention relates to a method and device for calibrating an odometer based on a strapdown inertial navigation/satellite integrated navigation system and belongs to the technical field of strapdown inertial navigation. The method utilizes the result of the first integrated navigation of the strapdown inertial navigation/satellite to calculate reversely the initial posture, carries on the second integrated navigation using the stored original data, provides a calibrated reference value through the result of the second integrated navigation, produces a real carrier system reference speed, and carries out calibration through the real speed. The strapdown inertial navigation/satellite integrated navigation system produces the calibration reference speed so that the accurate and reliable calibration result can be obtained.

An embodiment of the invention provides a well logging curve correction method and device. The method includes: acquiring straight well section depth values and well logging values of multiple collection points of a straight well section according to formation interface information at a locus of a horizontal well section, horizontal well section information and straight well section information, and acquiring horizontal well section depth values, well logging values and well drift angles at positions, corresponding to the collection points on the straight well section, of the horizontal well section according to the straight well section depth values; acquiring a correction function fitting relation through cross-plot fitting according to the well logging values and the well drift angles of the horizontal well section and the well logging values of the straight well section; correcting a well logging curve of the horizontal well section according to the correction function fitting relation. The formation interface information at the locus of the horizontal well section is fully utilized, so that the problem that existing well logging curve correction methods do not fully utilize transverse information of a horizontal well and are low in correction accuracy is solved, accuracy and reliability of correction are improved, and simple, quick, practical and effective correction of the well logging curve is realized.

The invention discloses a data correction method under the condition of variable load of a chemical flow system. The method comprises the following steps: firstly, acquiring measuring data of a measuring instrument within a period of time, and applying steady state detection technology for steady state determination according to key measuring bits among the measuring data; secondly, taking mean values of the measuring data in various steady states, performing steady state operating condition interval division on the mean values of the steady state data according to the load, and dividing the mean values into a plurality of different steady state operating condition intervals; and thirdly, performing data correction and remarkable error detection on multi-variable multi-group measuring data in each steady state operating condition interval, and obtaining remarkable error detection results and data correction results of various steady state operating condition intervals. The method has more reliable and more accurate correction results, simultaneously can select other steady state detection technology and data correction technology, and is flexible to apply and simple to realize.

The invention discloses a robot hand-eye calibration method. The robot hand-eye calibration method includes the steps that S1, a laser tracker and a tetrahedron are arranged, and a laser scanner usedfor conducting measurement on the tetrahedron is arranged on an industrial robot; S2, a conversion matrix (shown in the specification) is calculated; S3, a conversion matrix (shown in the specification) is calculated; and S4, a conversion matrix (shown in the specification) is calculated. According to the robot hand-eye calibration method, hand-eye calibration is conducted on the robot through thelaser tracker and the well-designed tetrahedron, it is avoided that hand-eye calibration is influenced by parameter errors of the industrial robot, the measurement precision is higher, and the calibration result is accurate and reliable.

The invention belongs to the technical field of indoor navigation positioning and particularly relates to an indoor positioning direction error correcting method. The correcting method includes the steps of: 1) selecting a correcting direction and recording true value of the direction; 2) measuring the correcting direction to obtain a corresponding direction measurement value; 3) calculation of direction error and establishment of a direction error correcting module: calculating the difference between the direction measurement value and the direction true value to obtain the direction error, and establishing the direction error correcting module with unknown parameters by regarding the direction error as a nonlinear function of the direction measurement value; 4) performing curve fitting according to a preset threshold value and determining the parameters in the direction error correcting module; and 5) according to the direction error correcting module, correcting the practical direction. The method can self-adaptably determine the direction error correcting module and accurately complete error correction and precision compensation, and solves a problem of the direction correction during indoor navigation and positioning.

The invention provides a method for dynamically calibrating a magnetic field sensor. The method comprises the following steps: storing original three-dimensional magnetic field data of the magnetic field sensor into a queue with a length of L in sequence; searching out N data meeting a preset condition from the data in the queue with the length of L, and forming a fitting array for ellipsoid fitting operation by the N data; performing the ellipsoid fitting operation according to the fitting array of the N data to fit out six calibration fitting parameters of an ellipsoid; calibrating the original three-dimensional magnetic field data by using the six calibration fitting parameters, so as to acquiree calibrated magnetic field data, and returning to the initial step. The invention provides asystem for dynamically calibrating the magnetic field sensor. The method and the system for dynamically calibrating the magnetic field sensor can dynamically calibrate the magnetic field sensor in real time, and a calibration result is high in reliability and precision.

The invention belongs to the technical field of sensors, and specifically relates to a sensor calibration device and calibration method. The sensor calibration device comprises calibration software, ametrical instrument and a data collection passage, wherein the metrical instrument and the data collection passage can be in communication connection with the calibration software respectively; the calibration software can collect data messages of the metrical instrument and the data collection passage simultaneously; the metrical instrument can provide constant temperature of pressure for a sensor to be calibrated so as to be collected by the sensor; and data collected by the sensor can be sent to the calibration software for calibration after processing of the data collection passage. By using the sensor calibration device and calibration method, data in the metrical instrument and the data collection passage can be collected simultaneously, veracity index, repeatability index, noise index and linear index of the sensor are calculated effectively, and the correction of the sensor is completed.

The invention discloses a flowmeter calibration system with multiple calibration lines and a calibration method based on the system. The system comprises a water supply mechanism and a calibration mechanism, wherein the calibration mechanism comprises at least two standard tubes, all the standard tubes are connected with the water supply mechanism, a standard tube control valve and a standard flowmeter are installed on each standard tube, the water-out ends of all the standard tubes are connected with the same first converging tube, the first converging tube is connected with at least two calibration tubes, N to-be-detected flowmeters are connected in series on each calibration tube, a calibration tube control valve is also installed on each calibration tube, and all the calibration tubesare connected with the same flow regulation mechanism. According to the system, multiple calibration tubes are adopted and connected in parallel, multiple to-be-detected flowmeters are installed on each calibration tube, multiple to-be-detected flowmeters can be calibrated at a time when one arbitrary calibration tube is opened separately, different flowmeters can be calibrated when different calibration tubes are opened respectively, therefore, assembly-line calibration of the flowmeters is realized, and calibration time is greatly saved.

The invention provides an automatic calibration system and method for a photoelectric detection target, and belongs to the technical field of photoelectric testing and weapon target range testing. The automatic calibration system comprises a measurement control platform, a signal detection platform and a controller; the measurement control platform and the signal detection platform are arranged at an interval, the photoelectric detection target is arranged on the measurement control platform, the signal detection platform receives light emitted by the photoelectric detection target, and the controller is electrically connected with the measurement control platform and the signal detection platform; and a detection light curtain of the photoelectric detection target is completely overlapped with a signal receiving assembly of the signal detection platform by adjusting the measurement control platform. According to the system, the included angle parameters of light curtains in a combined structure body of the photoelectric detection target can be accurately obtained, reliable data support is provided for accurate evaluation and subsequent research and development of weapon performance, the calibration precision and the use repeatability are improved, the time spent on calibration is shortened, batch production is easy, the universality is high, and the calibration result is reliable.

The invention provides an anti-collapse multi-time scale generative adversarial network generator parameter correction method, and the method comprises the steps: carrying out the sampling of a random noise signal and a real signal of a generator at different time scales, and inputting the sampled generator signal data into a generator; inputting the sampled generator random noise signal, the generator real signal and the generated signal generated by the generator into a discriminator; and setting an anti-collapse threshold value, judging whether the probability that the judgment signal obtained in the discriminator is a real signal is greater than the anti-collapse threshold value, storing the data greater than the anti-collapse threshold value into the model database, and learning the data less than the anti-collapse threshold value through the conditional construction generative adversarial network again. According to the method, the problem of generator parameter correction can be effectively solved, the obtained result can be continuously optimized through multi-time-scale sampling, the generation and discrimination functions of the conditional construction generative adversarial network are achieved, and the anti-collapse capacity in the generator parameter correction process is improved.