7results about How to "For automatic positioning" patented technology

The utility model discloses a punch device for ball valve processing with positioning function, including base, electric spindle, drill and clamping seat, the upper surface fixed connection of base has electric spindle, the output fixed connection of electric spindle has chuck, the end fixed connection of chuck has drill, and clamping seat is located electric spindle's right side and is connected with base slidingly, and clamping seat includes bottom plate, fixed clamping plate, movable clamping plate and locking screw, the upper surface fixed connection of bottom plate has the fixed clamping plate of vertical distribution, and the lateral wall of fixed clamping plate is equipped with movable clamping plate and is connected with bottom plate slidingly. The utility model utilizes base, electric spindle, drill and clamping seat to form punch device, and the ball valve spool is clamped, positioned conveniently and quickly, and is punched and is processed to the ball valve spool with electric spindle, and through being equipped with the top block with the spherical surface positioning groove and the gasket and the positioning hole in the clamping seat, the ball valve spool is positioned automatically conveniently, and the stability of ball valve spool processing is improved.

The utility model discloses a numerical control paperboard line pressing device for carton processing, including the bottom plate, the top fixedly connected with the fixing frame of bottom plate, the inside of fixing frame is provided with the lifting frame, the center line of lifting frame is with the center line of fixing frame on same vertical surface, the inside of lifting frame is provided with the adjusting structure for adjusting line spacing. This numerical control paperboard line pressing device for carton processing is provided with the lifting frame, and the second servo motor of lifting frame top is started to drive the second sprocket to rotate before pressing the line, and the two -way screw rod is driven to rotate through the first sprocket, and the two -way screw rod drives the two groups of threaded sleeve outside to move, and the threaded sleeve moves the mounting frame and the line pressing wheel of bottom through the connecting sleeve plate, adjusts the line pressing wheel of both sides to the appropriate interval, and the limiting shaft is attached in the inside of connecting sleeve plate and can limit the line pressing wheel, and the problem that cannot adjust the line pressing assembly interval according to the requirement is solved.

The utility model discloses a turnover type fixing tool, can fix work piece in one time, and realizes centring, can drive work piece multi -angle turnover to realize multi -angle processing while guaranteeing high positioning accuracy, satisfies processing demand. Turnover type fixing tool includes numerical control rotary table, numerical control tailstock, bearing plate, hydraulic clamp and corner oil cylinder, bearing plate is rotationally cooperated between numerical control rotary table and numerical control tailstock, is equipped with at least one mounting hole on bearing plate, is equipped with hydraulic clamp in mounting hole, and both sides are equipped with corner oil cylinder, and corner oil cylinder output end is the presser bar, hydraulic clamp includes clamp body, work piece clamping seat and clamping seat fixed ring, work piece clamping seat is made of elastic material, and is surrounded to form hydraulic oil cavity among three, and work piece clamping seat is equipped with clamping hole, and the ring wall of clamping hole is equipped with support flange, clamp body is equipped with hydraulic channel, and a plurality of hydraulic oil inlet and outlet holes that communicate with hydraulic channel, and hydraulic channel is penetrated to the ring wall of mounting flange to communicate with hydraulic oil cavity.

This application relates to the field of non-destructive testing technology for buildings, and discloses a method for detecting, identifying, and locating leak points in buildings for construction engineering. The method includes: first, adaptively identifying the set of resonant frequencies of the building structure to be tested; then, based on this set of resonant frequencies, applying normal and tangential excitations sequentially through a composite orthogonal dual-modal excitation unit, and simultaneously acquiring surface micro-motion video data of the structure by a high frame rate optical imaging unit; next, decomposing the video data to generate P-wave velocity fields and S-wave velocity fields, and constructing a wave velocity ratio field sensitive to leakage characteristics; finally, fusing multi-dimensional features to construct a high-dimensional feature vector, and using an unsupervised learning algorithm to calculate anomaly scores, thereby achieving automated identification and precise location of leak points. This invention utilizes a resonance enhancement mechanism and a wave velocity ratio diagnostic basis sensitive to water media, significantly improving the sensitivity and accuracy of detection, and achieving automation of the entire detection process and objectification of result interpretation through the introduction of unsupervised learning.

This invention discloses an automatic localization method for optic disc atrophy region and optic disc region based on a visual converter. The method includes constructing a dataset of ultra-wide-angle fundus color images and labeling the peripapillary atrophy region and optic disc region on each image; randomly selecting training and test sets; constructing a segmentation network, inputting the labeled data from the training set into the segmentation network for training, and training the network weights for the peripapillary atrophy region and the optic disc region respectively; inputting images from the test set into the trained segmentation network to obtain segmentation results and extracting the boundary lines of the peripapillary atrophy region and the optic disc region; mapping the boundary lines of the two regions to the corresponding original images through image mapping to complete the localization of the peripapillary atrophy region and the optic disc region; automatically and accurately locating the peripapillary atrophy region and the optic disc region in images and marking their boundaries, which can be used for clinical auxiliary diagnosis.

This invention belongs to the field of steel plate head shearing technology, specifically relating to a shearing control method and control system for irregular steel plate heads. The method includes: as the steel plate is conveyed, the moving distance of the steel plate is acquired in real time from the top of the irregular head, and simultaneously, a contour image of the steel plate head is acquired in real time; based on the contour image, the angle α between the line connecting the contour edges of two adjacent frames of the contour image and the length direction of the steel plate is acquired; if several consecutive α values ​​are less than a threshold, the shearing position is determined; based on the shearing position and the total number of frames of the corresponding contour image and the corresponding moving distance, the length of the irregular head of the steel plate is further acquired; based on this length, shearing is performed after the irregular head of the steel plate moves to the shearing position of the shearing device. This invention can improve the shearing efficiency and accuracy of the production line, reduce the labor intensity of operators, and reduce shearing deviations caused by operation.

The application discloses a kind of geometric defect identification and processing method based on AI big model, it is related to aerospace engineering field.The method aims at solving the problem of low efficiency and poor accuracy of aircraft CAD model geometric defect artificial repair.The steps include: first, CAD assembly body model is intelligently segmented into multiple sub-components;Second, the part geometry is converted into a structured feature representation, and a multi-task hierarchical graph neural network model incorporating domain knowledge is trained using labeled data;Then, the model is used to identify defects in sub-components, outputting defect type and spatial location information;Finally, according to the identification results, the repair topology is connected first, and the geometric anomaly is processed in sequence, and a watertight surface mesh is generated.The application realizes the whole process automation of geometric defect identification and repair, greatly improves the pre-processing efficiency and quality, and reduces the dependence on expert experience.