31results about How to "Avoid correction errors" patented technology

The invention provides a method and device for verifying a high-accuracy direct-current comparator for resistance measurement. The method comprises the following steps: firstly connecting two or more than two same nominal resistors in serial and in parallel so as to respectively form serial resistor arrays and parallel resistor arrays; connecting the parallel resistor arrays with nodes at the two ends of all parallel resistors by virtue of a four-end lead node structure, and setting short-circuit compensation for externally-connected short-circuit sheets when the resistor arrays are connected in parallel; then carrying out proportion measurement by virtue of measured direct-current comparators, and obtaining serial-parallel proportion readings by the direct-current comparators; connecting three groups or more than three groups of nominal resistors in series and in parallel, and then carrying out the proportion measurement by virtue of the measured direct-current comparators; and comparing with the specified accuracy level according to the production of the serial-parallel proportion readings of all the groups of serial and parallel resistor arrays, so as to realize the proportion verification of the direct-current comparators. By utilizing the method provided by the invention, accurate verification of proportional errors of the high-accuracy (the accuracy reaches 10-7-10-8 levels) direct-current comparator used for resistance measurement can be realized.

The invention relates to a heart image motion artifact correction method, system and equipment, a readable storage medium, and belongs to the technical field of medical images. Heart scanning data ofa scanning object is obtained in the scanning process, and a heart reconstruction image of the scanning object is obtained according to the heart scanning data; the heart reconstruction image is inputinto a preset deep learning network, and a heart motion artifact correction image output by the deep learning network is obtained; and the analysis learning capability of the deep learning network isused to train the feature transformation of the heart image in order to achieve the capability of heart motion artifact correction, and the end-to-end correction of the whole heart reconstruction image is achieved through the deep learning network, so the correction error is effectively avoided.

The invention discloses a nuclear power station reactor protection system safety parameter monitoring device and a nuclear power station reactor protection system safety parameter monitoring method. The device comprises a safety parameter transceiver module, a safety parameter processing module and an authority setting module, wherein the safety parameter processing module comprises a storage module, a verification module and a modification module. The method comprises acquiring an actual safety parameter, processing the actual safety parameter and setting a display interface. The device and the method are based on a digital reactor protection system and can calibrate a real-time safety parameter, and furthermore can transmit the calibrated parameter to a corresponding CPU unit for operation. Furthermore the display interface is utilized for visually displaying data and understanding the data, thereby performing quick and accurate processing on the parameter, and preventing errors in setting and modification. A parameter modification log is formed, and a parameter modification process can be traced in a log file. Furthermore batch parameter modification can be performed, thereby saving labor and improving operation efficiency.

A luminance nonuniformity adjustment module for eliminating luminance nonuniformities in light emitting elements determines a luminance correction coefficient for each light-emitting element through a test print. The luminance nonuniformity adjustment module comprises a provisional luminance correction coefficient calculation unit, an improper coloring degree calculation unit and a luminance correction coefficient determination unit. The provisional luminance correction coefficient calculation unit calculates a provisional luminance correction coefficient by comparing a measured density value for a grayscale chart and a predetermined target density value. The improper coloring degree calculation unit calculates an improper coloring degree, which is the degree of improper coloring that occurs when other colors are expressed when developing a specific color, from the measured density values for the grayscale chart and an unbalanced chart in which the gray balance has been altered. The luminance correction coefficient determination unit corrects the provisional luminance correction coefficient using the improper coloring degree.

The invention discloses an aerial image geometric correction method based on attitude information of an unmanned aerial vehicle. The method is characterized in that image interior orientation elements of aerial images are utilized, POS parameters of the aerial images are directly used as image exterior orientation elements, and geometric correction of preprocessed unmanned aerial vehicle remote sensing images is achieved through three-dimensional reconstruction space coordinate conversion and indirect method image correction. According to the method, pixel information of original images are fully utilized, multiple attitude parameters participate in correction at the same time, and correction errors caused by the fact that multiple parameters do not participate in correction smoothly in a traditional method in the prior art are avoided; when manual control point pair selection cannot be carried out, geometric correction is carried out on the aerial images of the unmanned aerial vehicle, so as to enable the images to better meet standards; corrected images with regularly arranged image points are obtained, so that subsequent aerial image registration, splicing, and other processing are facilitated.

The invention discloses a tire rolling resistance coefficient measuring and testing device which comprises a flat road surface template to be in contact with a test tire, a workbench used for settingthe road surface template, and a tire loading device, wherein a surface of the road surface template is provided with an adhesion layer which is consistent with an actual road surface in terms of material; the road surface template is used for setting the road surface model, and the workbench is connected to a template driving device for driving the workbench to move via a tension and pressure sensor; the tire loading device for setting the test tire and applying predetermined positive pressure thereto to press the test tire tightly against the road surface model. A surface of the tire rollingresistance coefficient measuring and testing device is provided with the adhesion layer which is consistent with an actual road surface in terms of material, an actual rolling resistance coefficientof the tire on an actual road surface can be measured, and realistic and reliable measurement results can be obtained. Further, the tension and pressure sensor is cheaper than a conventional sensor for a wheel axle; the testing device is simple in structure and low in requirements for working environment and structural precision and therefore is low in cost.

The invention provides an optical proximity correction method. The method comprises the following steps: importing an OPC graph into OPC software, the OPC graph having a plurality of specific patterns; selecting any specific graph in the OPC graph, performing optical simulation on the specific graph to obtain a simulation graph, overlapping the simulation graph with the specific graph, and cuttingtwo adjacent sides of the specific graph into n sections, n being greater than or equal to 3; selecting one or two of the n sections as operation sections, and calculating the minimum distance between each operation section and the simulation graph; and according to the minimum distance, moving the corresponding operation section by a unit movement amount, carrying out optical simulation once every time the operation section is moved so as to update the simulation graph, and after the simulation graph is updated every time, recalculating the minimum distance between each operation section andthe simulation graph. According to the method, the problem that in the prior art, optical proximity correction of the OPC graph is affected by grid segmentation, and consequently correction errors exist in the OPC graph is solved.

The invention relates to a method for cutting a sheet metal blank (2) with a predetermined profile (K) from a sheet metal strip (1) conveyed continuously in a conveying direction (x), said method comprising the following steps : at least one laser cutting device is provided with at least one laser cutting head (L, L1, L2, L3) movable in said conveying direction (x) and in a y direction perpendicular to said conveying direction, and also having control means for controlling movement of said laser cutting head (L, L1, L2, L3) along a cutting path corresponding to said predetermined profile (K), by a first distance arranged upstream of said laser cutting means The measuring device continuously measures the first distance (I1) between the first strip edge of the metal sheet strip (1) and the fixed first measuring point in the y direction, and sends the measured first distance (I1) to the control device a distance value, using the predetermined cutting path and the measured first distance value, calculating a corrected cutting path by the control program of the control device, and moving the laser cutting machine along the corrected cutting path heads (L, L1, L2, L3) to create slits in said sheet metal strip (1).

The invention relates to a radiation energy stabilizing device and method applied to an element lamp. The radiation energy stabilizing device comprises: a controller; a light source energy sampling device; a low-noise pre-amplification module used for amplifying the current signal; a root mean square value conversion module; a low noise ratio module; and a high-proportion difference amplification module respectively connected with the low-noise proportion module, the controller and the correction selection module and used for locking the radiation energy of the light source at a set value in real time. The radiation energy stabilizing method comprises the following steps: sampling an optical signal; amplifying the current signal; performing root mean square value conversion on the signal; amplifying or attenuating the signal; and locking the radiation energy of the light source at a preset value in real time. According to the technical scheme, rapid and automatic adjustment of radiation light source energy is achieved, and correction errors caused by light source differences or environment differences in a traditional mode are overcome. The light source energy sampling device is convenient to install, does not need to be adjusted, and can ensure constant and stable energy output of the light source.

The invention discloses a distortion wavefront prediction method based on deep learning. The adaptive optical system (AO) is a servo delay system capable of compensating atmospheric turbulence distortion wavefront in real time, the delay time is generally 2-3 sampling periods, the wavefront prediction technology can effectively solve the time delay problem, and the control performance of the system is improved. Deep learning can be used for self-extracting image deep features and can be used for fitting mapping from multi-frame historical wavefront information to predicted wavefront information; according to the method, the nonlinear fitting capability of a neural network is fully exerted, the redundant information between two adjacent frames is eliminated in a residual learning mode by utilizing the time sequence characteristics existing between the frames of the multi-frame continuous distortion wavefront, then the refined characteristics are fused, and finally, the nonlinear fitting capability of the neural network is fully utilized. And a final prediction result is obtained by fusing the features of all levels and is used for real-time correction, so that the time delay error of the AO system when the AO system deals with the atmospheric turbulence distortion wavefront with high time frequency is reduced, and the control performance is improved.

The invention discloses a method for calibrating an ultrasonic scanner. Through the rotation axis and the θ axis perpendicular to the axis, it includes: rotating a transducer along the axis and collecting the first energy from the target reflection surface on the scanning plane. data; calculate the angle of the first maximum peak intensity from the first data; rotate the transducer 180° along the θ axis; rotate the transducer along the axis and collect second data from the same target reflective surface on the same scan plane; calculating the angle of the second maximum peak intensity according to the second data; and subtracting the angles of the two maximum peak intensities to obtain a difference. The present invention can calibrate the ultrasonic scanner according to the difference, which can not only omit the existing calibration method of using a water tank or an additional ultrasonic target, but also avoid calibration errors caused by parallax.

The invention discloses a camera distortion correction method for a distortion-free model, and the method comprises the steps: firstly enabling a computer to generate a longitudinal standard stripe image and a transverse standard stripe image as correction templates, displaying the correction templates on a flat-panel display, enabling a camera to shoot the images, and obtaining a distorted image;respectively carrying out phase shift phase solution and phase unwrapping on the two groups of distorted images to obtain phase distribution of the distorted images; obtaining the instantaneous spatial frequency distribution of the distorted image, and determining the instantaneous frequency of a distortion center stripe; extracting distortion image phase values of continuous multiple points nearthe distortion center, and performing linear fitting to obtain a phase value of the distortionless image; subtracting the phase distribution of the distorted image from the phase distribution of thedistortionless image to obtain distorted phase distribution of the distorted image, and then obtaining distortion amount distribution of the distorted image; acquiring distortion distribution under acorrection coordinate system and a correction mapping graph; and finally, carrying out distortion correction on the image shot by the camera by using the correction mapping graph. According to the invention, the distorted camera image can be corrected without a distortion model.