9results about How to "Reduce calibration process" patented technology

The invention discloses a bus current estimation method and device based on a GTM module. The problems that existing bus current calculation is high in hardware cost, large in workload, short in collection period, poor in calculation precision and complex in algorithm, and a motor control algorithm needs to be combined are solved. The method comprises the steps of collecting and obtaining a three-phase current sampling value of a motor, obtaining a three-phase upper bridge arm IGBT switch state signal, determining a three-phase current value according to the IGBT switch state of the three-phase upper bridge arm, obtaining a candidate bus current value according to summation of the three-phase current value, obtaining all sampled candidate bus current values in a filtering period, and carrying out average filtering to obtain a bus current value. Real-time three-phase current is calculated through operation of the GTM module, rack calibration is reduced, a bus current sensor is canceled, the algorithm is simple, logic operation can be operated in the GTM programmable module, and CPU resources of a main chip do not need to be independently used.

The invention relates to the field of semiconductor packaging, in particular to high-precision bonding equipment and a bonding method thereof.The high-precision bonding equipment comprises a left machine base, a right machine base and a handover module, the left machine base is provided with a wafer table, an ejector pin module, an overturning pickup module, a transfer module, a first camera and a transplanting suction nozzle module, and the first camera is arranged above the wafer table; the ejector pin module is arranged below the wafer table, the turnover pickup module adsorbs a chip on the wafer table, turns over by 180 degrees and transfers the chip to the transfer module, the transplanting suction nozzle module is arranged below the right side of the transfer module, a movable workbench, a third camera, a fourth camera and a near-infrared camera are arranged on the right machine base, the third camera is arranged at the left end of the movable workbench, and the fourth camera is arranged at the right end of the near-infrared camera. The fourth camera and the near-infrared camera are arranged above the movable workbench, the handover module comprises a driving module, a bonding head and a second camera, the bonding head is arranged on the driving module, the second camera is arranged on the left side of the right machine base, and the requirements for measurement and calibration, compensation and positioning precision of the hybrid bonding technology are met.

This utility model provides a device for spot welding a catalyst support and a nut, which can effectively control the inward shrinkage of the catalyst support and avoid deformation of the catalyst support due to uneven temperature. It includes an upper electrode and a lower electrode that cooperate with each other. The lower electrode is provided with a positioning pin, which can position the nut and the support. The upper electrode is characterized by having an inner support fixed on it, and a wear-resistant ring is fixed on the outer side of the inner support. The outer diameter of the wear-resistant ring matches the size of the catalyst support. During welding, the wear-resistant ring can support the support in the catalyst support and limit the legs of the catalyst support to prevent the legs of the catalyst support from shrinking inward.

The invention provides a drilling platform personnel positioning method, a safety early warning method and a personnel positioning device. The positioning method comprises the following steps: S1, acquiring a two-dimensional image and three-dimensional point cloud data of a drilling platform acquired by two-dimensional and three-dimensional detection equipment; s2, identifying persons from the two-dimensional image, and carrying out frame selection on each person by using a rectangular frame, the selected area being a person area; s3, projecting the three-dimensional point cloud data into the two-dimensional image, retaining the three-dimensional point cloud data falling into the personnel areas, and forming a point cloud group by the three-dimensional point cloud data in each personnel area; s4, performing clustering processing on each point cloud group, and extracting a cluster with the most points in each point cloud group as a target cluster; and performing data conversion on the target cluster according to the first conversion matrix to obtain intermediate data, and performing data conversion on the intermediate data according to the second conversion matrix to obtain position data of personnel corresponding to the point cloud group to which the target cluster belongs. And the positions of personnel on the drilling platform can be accurately positioned.

The present invention is an automatic calibration device and method for a laser displacement sensor. A laser displacement sensor and a laser interferometer are arranged on both sides of a moving table, and a beam analyzer is arranged on the moving table to realize spot measurement. During calibration, the standard object to be measured is controlled to step from the near end of the range to the far end of the range, and the laser displacement sensor data, laser interferometer data and beam analyzer data at each sampling position are recorded. After completing the full-range scan, the linear deviation is calculated according to the laser displacement sensor readings and laser interferometer readings at different positions to generate a calibration table for calibration; the shape and direction of the measuring beam are fitted according to the cross-sectional spot data at different positions to adjust the focus, direction and other parameters. The present invention can realize the simultaneous measurement of the linear deviation of the laser displacement sensor and the beam shape in a single scan, is suitable for the calibration of laser displacement sensors of various ranges, and can significantly improve the calibration accuracy and production efficiency.

The invention belongs to the technical field of titanium alloy forming, and relates to a titanium alloy sheet bending forming method which comprises the following steps: (1) spraying: cleaning the surface of a sheet, spraying a protective coating until the film thickness is 0.2-0.3 mm, and drying the film in the shade; (2) annealing is conducted, specifically, the thin plate obtained after spraying in the step (1) is annealed, and the annealing temperature ranges from 700 DEG C to 925 DEG C; (3) bending is conducted, specifically, after annealing and heat preservation are finished, bending is conducted, and after bending forming is conducted, natural cooling is conducted to the room temperature; and (4) the step (2) and the step (3) are repeated, and bending forming of the whole product is completed. By the adoption of the method, bending forming of titanium alloy parts of different thicknesses and different materials can be achieved, the utilization rate of raw materials of products is increased, and the machining cost is reduced.

The present disclosure relates to a method and device for determining a posture, an electronic device, and a storage medium. The method comprises: obtaining collected data collected by a first terminal in a target scene; obtaining a global map including the target scene, wherein the global map is generated based on map data obtained by a second terminal collecting data from a global scene including the target scene, and the global map satisfies an accuracy condition; and determining at least one first posture of the first terminal during the collection process according to the feature correspondence between the collected data and the global map. Through the above process, a large amount of first posture data can be collected on a large scale, reducing the additional equipment settings for the target scene or the additional calibration synchronization between multiple devices, and the data of the first posture also has a high accuracy.

This utility model relates to the technical field of weighbridges, and more particularly to a visual wheel-by-wheel weighbridge. It comprises two weighbridges, a frame, a device for timed data acquisition, a GPS / BeiDou central control vehicle-mounted instrument, a data platform, a weighing image display screen, and a camera. The timed data acquisition device collects the output signals of the two weighbridges sequentially and at different times. The output signals are transmitted via the GPS / BeiDou central control vehicle-mounted instrument to the data platform for processing, and the time-wheel pressure signal curve structure of each wheel is recorded. This significantly reduces the size of the weighbridge equipment, reduces the installation, calibration, and maintenance costs of the weighbridge, dynamically calculates the weighing time using the wheel pressure signal curve to balance detection efficiency and accuracy requirements, further saves weighing time, improves weighing efficiency, and simultaneously achieves wheel-by-wheel weight statistics and axle off-center load rate calculation.

The invention discloses a method for converting an API interface into a visualized entity, comprising the following steps: step 1: establishing a tree structure model; step 2: importing and establishing a design template online in a visualized interface through a template designer module; step 3: arranging object attributes by dragging and dropping through a template mapping group module, binding and associating double-end attributes through node connections, and finally exporting a binding template file; step 4: performing attribute verification processing according to a binding template rule through an object verification group module, supporting verification of diversified types; supporting importing and establishing a design template online in a visualized interface, arranging object attributes by dragging and dropping, binding and associating double-end attributes through node connections, and finally exporting a binding template file, interpreting the binding template file based on SDK-JAR, realizing complete data conversion work, optimizing the entire object binding and object conversion process, reducing redundant codes, and improving overall development efficiency.