12results about How to "Reduce calibration workload" patented technology

The embodiment of the invention provides a differential Hall current sensor and a manufacturing method thereof, and belongs to the technical field of semiconductors. The differential Hall current sensor comprises a current bar; the insulating layer is bonded on the upper surface of the current bar; the at least two Hall elements are symmetrically arranged on the two sides of the upper surface of the insulating layer in the current direction; and the at least one deflection magnetism gathering block is attached to the magnetic induction surfaces of the at least two Hall elements and is used for deflecting a magnetic field component of the current magnetic field in the direction parallel to the magnetic induction surfaces of the Hall elements into a magnetic field component in the direction perpendicular to the magnetic induction surfaces of the Hall elements. According to the differential Hall current sensor, the current magnetic field is gathered through the deflection magnetism gathering block to form a conduction magnetic circuit, the directions of the magnetic field components are changed, the Hall element obtains the magnetic field intensity formed by superposing the magnetic field components in the two directions, and the measurement sensitivity is improved.

The invention provides a method for calibrating contact parameters of micron-sized spherical aluminum powder for an energetic material, and the basic principle of the method is that discrete element simulation and experiment are combined, errors of a simulation repose angle and an experiment repose angle are compared, different calibration sequences are adopted for different errors, and the contact parameters of micron-sized spherical aluminum powder for the energetic material are calibrated. And gradually completing the contact parameter calibration of the micron-sized spherical aluminum powder for the energetic material. According to the method, it is proposed for the first time that for micron-sized spherical aluminum powder, four contact parameters including the collision recovery coefficient, the sliding friction coefficient, the rolling friction coefficient and the adsorption energy among particles need to be calibrated, and the proper coarsening range of the aluminum powder during modeling, the calibration sequence under different conditions and the contact parameter calibration range are defined for the first time; according to the method, the contact parameter calibration workload of the micron-sized spherical aluminum powder is reduced, and efficient preparation of the energetic material is promoted.

The invention provides a drilling tool seam height detection method and device based on monocular vision, and the method comprises the steps: S1, carrying out the initial calibration of a pixel height and a physical space height in an image collected by a camera after the installation of a monocular camera, and obtaining a calibration relation; s2, a drilling tool image collected by a camera is obtained, region-of-interest division is conducted on the drilling tool image, and a region-of-interest only containing a wellhead drilling tool or a mouse hole drilling tool is obtained; s3, identifying that the drilling tool female joint exists in the region of interest, and obtaining a female joint identification frame; s4, according to the pixel height information of the upper edge of the female joint identification frame and the calibration relation, drilling tool seam height information is obtained; and S5, after a preset time interval from the previous calibration, carrying out adaptive calibration on the pixel height and the physical space height in the image collected by the camera, and repeating the steps S2 to S5 according to the updated calibration relationship. The problem that the jaw height of the iron roughneck needs to be manually adjusted mostly in the prior art is solved.

This invention discloses a method for constructing a multi-layered assembly of engine room sections and a ship constructed using the same method. The method includes the following steps: S1, manufacturing engine room sections and pre-assembling them off-site to form pre-assembly engine room sections; S2, painting the pre-assembly engine room sections in a painting workshop; S3, transporting the pre-assembly engine room sections and assembling them locally to form the complete engine room section; S4, mounting the complete engine room section onto the ship's hull via a dry dock. This method can reduce manufacturing costs and difficulty. Off-site pre-assembly and integrated painting improve site utilization efficiency. Through simulation prediction, inverted manufacturing of engine room sections and application of reverse pre-compensation can reduce corrections. By setting up inverted welding of engine room sections, no additional scaffolding is needed, reducing costs. By setting up the flipping of engine room pre-assembly sections, the number of flipping and lifting / disassembling operations is reduced. By aligning the joints in the longitudinal direction, structural continuity and assembly accuracy are ensured.

A kind of full strapdown millimeter wave phased array radar system pointing calibration method, main steps include: to be calibrated system is installed on three-axis turntable, based on the set calibration range and calibration granularity, calculate t time antenna azimuth beam pointing angle and elevation beam pointing angle theoretical value, and corresponding turntable attitude angle theoretical value, control turntable turns to the angle;Adjust phased array antenna beam pointing, so that target is located in the antenna beam center, obtain the actual value of antenna azimuth beam pointing angle and elevation beam pointing angle at this time, with the difference between the beam pointing theoretical value and actual value as the pointing error of phased array at the angle, to complete the calibration test of all angles in calibration range.This is a kind of high-efficiency calibration test method at system level, without accurately determining the coordinate position of each array element of antenna, can take into account the influence of system each link error on beam pointing precision, realize the fast, high-precision high-speed full strapdown millimeter wave phased array test calibration.

The present disclosure relates to the technical field of light field wavefront sensing, and particularly relates to a method for calibrating a multi-space sampling rate response matrix of a deformable mirror, which adopts a checkerboard algorithm to obtain a response matrix of the highest space sampling rate; receives a user input of a wavefront target space sampling rate, calculates a down-sampling window size of the response matrix of the highest space sampling rate; down-samples the response matrix of the highest space sampling rate to generate a slope vector of the target space sampling rate, and performs a slope consistency evaluation within the down-sampling window, judges whether the wavefront target space sampling rate is suitable for the current wavefront distribution according to the evaluation result; and splices the slope vectors of all the wavefront target space sampling rates to generate a response matrix of the target space sampling rate. Only a single execution of the calibration of the highest space sampling rate is required, and the response matrix of the target space sampling rate can be generated as required, thereby reducing the calibration workload and improving the system efficiency.

The application relates to an active vibration control method and system adopting a polar analytic cascade least mean square algorithm, and belongs to the technical field of adaptive active vibration control. The method comprises the following steps: measuring a reference vibration signal and a residual vibration signal; wherein the reference vibration signal is measured at a position where the control force of an actuator does not directly act, and the residual vibration signal is measured in a vibration control area where the control force of the actuator acts; inputting the reference vibration signal into a main LMS to obtain a main output; inputting the main output into a first auxiliary LMS and a second auxiliary LMS in sequence, the first auxiliary LMS and the second auxiliary LMS are connected in a cascade mode, and the residual vibration signals with a first polarity and a second polarity opposite to the first polarity are respectively used as error signals for updating; and combining the outputs of the first auxiliary LMS and the second auxiliary LMS to obtain a control signal, which is used for driving the actuator to reduce the residual vibration. The application can automatically analyze the phase and polarity uncertainty of a secondary path without explicitly identifying the secondary path or manually switching the sign.

The application relates to the technical field of intelligent devices, and discloses a method and device for clothes image retrieval and an equipment. The method comprises the following steps: obtaining a to-be-retrieved picture comprising clothes to be retrieved; determining a tonal image corresponding to the to-be-retrieved picture; inputting the to-be-retrieved picture into a configured first convolutional neural network (CNN) model to obtain an activated area of a set area of the clothes to be retrieved, wherein the activated area corresponds to the maximum convolution feature value; extracting tonal feature information of the clothes to be retrieved from the tonal image according to position information of the activated area; and retrieving a matching clothes image matched with the clothes to be retrieved according to the tonal feature information. In this way, the color calibration workload in the clothes matching process is reduced, and the cost of clothes matching is reduced.

The present application relates to a battery SOC correction method, device, computer equipment and storage medium. The method includes: obtaining measurement and acquisition data, and battery cell state data; determining corresponding battery state parameters based on the mapping relationship between battery cell state data and battery state parameters; determining an equivalent circuit model according to the battery state parameters and the measurement and acquisition data, and calculating the corresponding terminal voltage deviation value based on the equivalent circuit model; determining the terminal voltage deviation threshold according to a preset SOC threshold range and battery state parameters; comparing the terminal voltage deviation threshold with the terminal voltage deviation value to obtain a comparison result, and performing battery SOC correction when it is determined that the comparison result meets the preset SOC correction condition. The use of this method can improve the accuracy of SOC correction.

The embodiment of the invention discloses a digital key calibration method, which comprises the following steps of: monitoring attitude information of a digital key to be calibrated and azimuth information of the digital key relative to a vehicle machine in real time, guiding the digital key to reach each sampling point in a pre-planned static sampling point set according to a preset sampling sequence and the attitude information and the azimuth information of the digital key, and acquiring static RSSI calibration data of each sampling point; the attitude information comprises a roll angle, a pitch angle and a yaw angle; and monitoring attitude information and motion information of the digital key in real time, and regularly acquiring dynamic RSSI calibration data between the digital key and the vehicle machine according to a pre-planned dynamic sampling path and preset dynamic attitude motion conditions. Therefore, the inertial measurement unit is utilized to guide and position the sampling point, tedious manual measurement and positioning are avoided, automatic acquisition of calibration data can be realized, the calibration efficiency can be improved, and the calibration workload can be greatly reduced.

The utility model discloses an automatic grab calibration system, including the placement platform of the calibration rod subassembly of resting, install the base of mechanical arm unit, install the scanning device and grab mechanism on the mechanical arm unit end and compare the calibration support for installing comparison board, and the comparison board is equipped with the department of holding in reserve on the calibration rod subassembly, be equipped with the adapter flange and the outer skeleton on the mechanical arm unit, the outer skeleton hollow design, one end of outer skeleton is fixed on the mechanical arm unit through the adapter flange, and the other end fixed connection scanning device of outer skeleton, grab mechanism installs in the hollow outer skeleton, and be equipped with the through slot of the department of holding in reserve for the department of holding in reserve in the inside of the hollow area of the hollow outer skeleton in the outer skeleton. Through setting up the hollow outer skeleton, install scanning device with the hollow outer skeleton end, install grab mechanism with the hollow cavity of the hollow outer skeleton, install scanning device and grab mechanism on the same outer skeleton, can effectively reduce weight and reduce cost, and the manufacturing cost is also more bottom.

This invention relates to the field of accelerator pedal mapping design technology for commercial vehicles. It provides an adaptive correction method for accelerator pedal mapping in commercial vehicles, considering longitudinal acceleration capability. Using an unloaded horizontal road surface as the baseline condition, it establishes a mapping relationship between accelerator pedal opening, vehicle speed, and the target longitudinal acceleration of the vehicle under the baseline condition. It acquires the current vehicle mass, road gradient, and vehicle speed in real time, calculates the current maximum longitudinal acceleration, and corrects the baseline coasting deceleration. Combining the longitudinal acceleration demand coefficient, it corrects the baseline mapping with the current maximum acceleration and coasting deceleration, establishing an adaptive accelerator pedal mapping relationship. Based on the current accelerator pedal opening and vehicle speed, it determines and outputs the target acceleration through the adaptive accelerator pedal mapping relationship. This method effectively solves the mismatch problem between longitudinal acceleration and pedal opening response, improving pedal controllability and driving experience.