19results about How to "Quick culling" patented technology

This invention relates to the field of plastic bottle inspection technology, specifically to an integrated control device for online real-time defect detection and closed-loop correction of plastic bottles. The device includes a conveyor line, a rotary indexing plate, two replenishment conveyor lines, and a plastic bottle gripper and transfer unit. This integrated control system automatically grips the plastic bottles, eliminating the need for opening and closing clamping actions. Furthermore, this structural design allows for automatic rejection of plastic bottles during rotation without stopping the clamping process, reducing overall process time and enabling rapid rejection and replenishment. When multiple consecutive defective plastic bottles occur, the push mechanism releases its contact with the lower push plate, allowing all four gripping mechanisms to operate simultaneously for rapid bottle replacement and replenishment. When there are no consecutive defective bottles, the push mechanism can activate only two gripping mechanisms.

The invention provides an oral care device which structurally comprises a positioning base, a dismounting head, a control host, an anti-skid sleeve, a control end and a vibration structure, the upper end of the positioning base is in threaded connection with the lower end of the dismounting head, the dismounting head is connected to the lower end of the control host, and the edge of the control host coincides with the inner wall of the anti-skid sleeve; the control end is arranged at the edge position of the control host and is in spacing fit with the anti-skid sleeve; the vibration structure is mounted at the upper end of the control host and works through the control end; after the vibration structure is improved, electric leakage can be prevented when the electrifying block is electrified through protection of the insulating disc, and then after the toothbrush head is inserted into the vibration body, the bottom of the toothbrush head is restrained by the vertical column and the ejection structure, so that the toothbrush head is prevented from being damaged during later replacement. The rotating screw of the ejection structure can drive the ejection block to move upwards to forcibly eject the toothbrush head out, so that the phenomenon that the toothbrush head is difficult to pull out due to blockage caused by accumulation of internal impurities and ditches is avoided, and the replacement convenience of the toothbrush head can be improved.

The utility model discloses a rhizome kind of traditional chinese medicine decoction piece spectrum detection grading system, including the body carrier, the upper end of body carrier is provided with the conveying structure, the upper end of conveying structure is provided with material guide structure, the upper end of conveying structure is provided with visual sorting system, and the bottom end of conveying structure is provided with the storage box side away from material guide structure side in parallel, and conveying structure includes the positioning frame fixed setting in the upper end of body carrier, and the inside transmission of positioning frame is provided with the conveyer belt. The utility model provides a rhizome kind of traditional chinese medicine decoction piece spectrum detection grading system, is placed in the top of conveyer belt through the conveyer belt after setting visual sorting system cooperation conveying structure, traditional chinese medicine slice can realize the continuous conveyance to traditional chinese medicine, and the spectrum detection of traditional chinese medicine can be carried out to the cooperation spectrum detection appearance of conveying, and if the medicine control electric push rod pushes the push plate and can be removed to the medicine fast if mouldy, so this can realize the accurate sorting of traditional chinese medicine.

The invention discloses a micro negative pressure separation system for a graphite material super-crushing process, which comprises the following steps: firstly, carrying out ultrasonic pre-dispersion on super-crushed graphite powder under the protection of inert gas, so that agglomerated particles are dissociated to form uniform suspended powder cloud; and then sealed feeding between the normal-pressure area and the negative-pressure grading area is achieved through a spiral airlock mechanism. In a negative pressure environment, powder is sequentially subjected to coarse separation of the speed increasing channel, grading separation of the rotational flow field and dispersion conditioning under the action of the electrostatic field, and a stable gas-solid two-phase system suitable for fine screening is formed. In the fine grading part, a multi-layer ceramic membrane filtering structure is adopted to cut off the particle size of submicron-scale and nano-scale powder, and periodic regeneration of a membrane surface is realized through a pulse back flushing device, so that continuous and stable filtering flux is maintained. The system realizes closed-loop control of atmosphere through negative-pressure air exhaust and oxygen content monitoring, so that the whole process is operated under a low-oxygen condition, and graphite powder with different particle size grades, such as coarse powder, medium powder, fine powder and nano powder, is obtained.

The utility model discloses a self-cleaning type stirring barrel scraper mechanism, which relates to the technical field of stirring barrel cleaning, and comprises a first driving motor, the bottom end of the first driving motor is coaxially connected with a lead screw, a brush is arranged at the top end of a shovel plate, the outer walls of two concave blocks respectively slide with the outer wall of the brush, and the concave blocks are arranged at the top end of the shovel plate. A clamping block fixed to one side of a box body is clamped to the inner wall of a clamping groove, the outer wall of an inserting block is arranged at the top end of a square block in a sleeving mode, and therefore the box body is stably installed on the inner wall of the shoveling plate, and the shoveling plate is driven to move up and down on the inner wall of the stirring barrel. The inner wall of the cleaning barrel is removed, so that the part is further cleaned after the inner wall of the cleaning barrel is removed, sundries on the inner wall of the stirring barrel can be better and automatically removed, a worker is prevented from manually holding a scraper device to clean and sweep the inner wall of the stirring barrel, and the operation burden of the worker is reduced.

This invention provides a backdoor defense method for federated learning based on gradient consistency and dual unsupervised clustering, comprising: obtaining gradient updates submitted by multiple clients participating in federated learning in the current training round; for each client, predicting the gradient update of the current round based on historical global model parameters and the client's historical gradient updates; calculating the difference between the actual gradient update and the predicted gradient update of each client to generate a malicious score for the client; adaptively determining the optimal number of clusters based on the malicious scores of all clients using the Gap statistic; performing dual unsupervised clustering detection with a coarse-to-fine approach based on the optimal number of clusters: first, removing clients with high malicious scores using K-means clustering, and then removing residual malicious clients from the remaining clients using DBSCAN clustering, thus selecting benign clients; and performing federated learning global model aggregation based on the gradient updates of the selected benign clients.

The utility model discloses a paper die cutting technical field's a kind of defective product paper automatic rejection die cutting device, to solve the problem of inconvenient rejection of defective product generated in the paper die cutting process in prior art. It includes paper feeding mechanism, cutting mechanism and material receiving mechanism, at least one group of sensors is provided between paper feeding mechanism and cutting mechanism, both sides of material receiving mechanism are equipped with mounting bracket, feed shaft is rotatably arranged between two mounting brackets, adhesive tape roll is installed on feed shaft, the outside of adhesive tape roll is adhesive surface, feed shaft can move in the vertical direction of mounting bracket, material receiving shaft is also installed between two mounting brackets, and material receiving roll is installed on material receiving shaft;The utility model is used to detect the position of defective product in paper die cutting work, and automatically rejects corresponding paper according to the position of defective product paper, since adaptive automation equipment, convenient operation, can avoid secondary damage, with excellent application prospect.

This invention discloses a method and system for testing the phase noise of a crystal oscillator. The method includes: acquiring continuous phase noise time-series data after the crystal oscillator is powered on, monitoring the noise reduction during the preheating process, and forming an initial convergence curve; iteratively approximating the initial convergence curve to construct a noise convergence model; discretizing the noise convergence model, calculating the first derivative sequence, and using continuous intervals with derivative values ​​close to zero as a candidate set of potential inflection point positions; performing threshold judgment on the candidate set of potential inflection point positions to obtain confirmed inflection point positions; extracting subsequent steady-state data segments from the confirmed inflection point positions for compliance verification; filtering and energy integration processing on the steady-state data segments to obtain a crystal oscillator verification queue; and determining whether the crystal oscillator verification queue meets a preset stability standard. If it does, the final phase noise performance result is obtained. The method of this invention can accurately determine phase noise under complex operating conditions.

This utility model discloses a fully automatic online paper defect detection device, relating to the field of paper defect detection technology. The device includes a base on which a first paper conveyor belt, a second paper conveyor belt, and a third paper conveyor belt are mounted. A paper rejection assembly includes a guide plate with connecting frames fixedly connected to its four corners. Two second fixed supports are fixedly connected to the lower end of the guide plate, and two rotating shafts are rotatably connected to the opposing surfaces of the two second fixed supports. Multiple paper rejection plates are fixedly connected to the surfaces of the two rotating shafts. Four through slots are formed on the surface of the guide plate, and multiple paper rejection plates are driven to move collaboratively via sprockets and chains. The rejection plates, in conjunction with the guiding effect of the through slots, can quickly and accurately reject defective paper from the conveying path, avoiding the accidental rejection of normal paper. This further improves rejection reliability, reduces the risk of entire batches of products being scrapped due to defective paper contamination, and lowers economic losses for enterprises.

The invention relates to the technical field of nondestructive testing of concrete structures, in particular to an impact echo nondestructive testing data cleaning method based on deep learning. Training a deep learning model by using an existing impact echo mark data set, inputting mark data into a deep learning network for training by using a transfer learning method, and obtaining the deep learning model capable of performing impact echo data classification after training is completed; formatting to-be-cleaned data into a two-dimensional image suitable for deep learning network input, then inputting image data into the trained deep learning model for classification, and obtaining a data label; deleting the impact echo original data of which the labels are invalid data, and then performing peak frequency analysis on the retained valid data or using other analysis methods; according to the impact echo detection data cleaning method based on deep learning, invalid data can be eliminated, and the method is of great significance in guaranteeing the effectiveness of impact echo data and improving the detection precision of hidden defects of a concrete structure.

The application provides a kind of urban area-oriented multi-source remote sensing data joint positioning method and system, comprising: obtaining several optical stereo images and corresponding connection point data, constructing optical stereo regional network, extracting laser elevation control point data and digital surface model data within the scope of optical stereo regional network;Calculate the ground coverage range of several optical stereo images, map the ground coverage range to the grid unit using the grid lookup table, obtain the accurate image coordinates of the laser points combined with the screened laser elevation control point data, and output the laser elevation control point set;Based on the rational function model and affine transformation, calculate the laser elevation control point set, and construct a multi-source remote sensing data joint adjustment function model;Solve the multi-source remote sensing data joint adjustment function model, form the observation error equation, and solve the observation error equation by heuristic search, output the adjustment model parameter result and the final connection point ground coordinate.

This invention relates to a non-contact liquid level detection method and system, belonging to the field of industrial detection technology. The method includes: receiving a ranging command; simultaneously triggering a millimeter-wave radar sensor and an ultrasonic sensor to measure the liquid level in the same container, obtaining raw echo signals respectively; performing signal processing and liquid level calculation on the raw echo signal from the millimeter-wave radar sensor to obtain a first liquid level value from the millimeter-wave radar sensor, and performing signal processing and liquid level calculation on the raw echo signal from the ultrasonic sensor to obtain a second liquid level value from the ultrasonic sensor; and determining the liquid level in the container based on the first and second liquid level values. This method achieves rapid and efficient removal of invalid data, preventing contamination from flowing into subsequent data systems, and solves the problem that a single sensor cannot identify invalid data in complex engineering environments in the liquid industry.

This invention proposes an efficient K-short path calculation method and system for dynamic road networks, relating to the field of path planning technology. It involves obtaining multiple OD pairs from a directed graph of the road network, constructing a list, and initializing it. For each OD pair, a shortest path is calculated, and a set of deviation paths is constructed based on the shortest path. The shortest path and the set of deviation paths are stored as an initial K-short path set. When the edge weights of the road network structure are adjusted, potentially affected OD pairs are screened based on the changed edge attributes and the initial K-short path set. The initial K-short paths from the potentially affected OD pairs are obtained, and a substantial impact test is performed: if an initial K-short path does not contain any changed edges, and its path cost is less than the total cost of potential new paths constructed from the changed edges, then the path is retained; otherwise, the path is deleted. New paths are supplemented based on the set of deviation paths until K shortest paths are satisfied, thereby significantly reducing computational complexity and improving the efficiency and accuracy of path updates in dynamic scenarios.

The application provides a wafer packaging method and device, electronic equipment and storage medium, and relates to the technical field of semiconductors. The method comprises the following steps: performing wafer testing on a wafer, obtaining a test wafer map corresponding to the wafer, and recording the position of each chip in the wafer and the corresponding test result in the test wafer map; based on the test result, superimposing a plurality of test wafer maps to determine whether the chip at each position in a plurality of wafers is a risk chip, and generating a target wafer map; and packaging the plurality of wafers based on the target wafer map. The method provided in the embodiment of the application can improve the risk chip rejection efficiency.

The utility model discloses an automatic rejecting machine for soft package detection, which comprises a conveyor and racks, the racks are symmetrically arranged at the top end of the conveyor, a longitudinal screw rod bracket is arranged between the two groups of racks, a first cylinder is arranged outside the longitudinal screw rod bracket, a rice package body is arranged on the surface of the conveyor, and a second cylinder is arranged on the surface of the conveyor. A supporting plate is installed at the output end of the first air cylinder, a supporting shaft is movably installed at the bottom end of the supporting plate, and the surface of the supporting shaft is sleeved with a rolling ball. According to the utility model, the rejecting machine can automatically detect and screen out defective rice bags, the defective rice bags can be conveniently and quickly rejected, the working efficiency of the rejecting machine is improved, the range of position movement during rice bag detection is increased, and the accuracy of detecting and screening the rice bags by the rejecting machine is improved.

The application discloses a kind of aluminum electrolytic capacitor nail flower visual detection and sorting method, to solve the problems of low efficiency, vulnerable to metal reflection interference and unable to effectively identify the inherent defects of nail flower in existing detection technology.The method comprises the following steps: system calibration and parameter presetting step;Through composite light source synchronous illumination and image acquisition step;Image preprocessing and nail flower region positioning step;Double-flow parallel analysis and feature extraction step, one flow is measured by sub-pixel technology Geometric dimension, the other flow is identified by convolutional neural network model Deep defect;Weighted decision fusion and comprehensive determination step, this step is based on the type and confidence of defect identification Dynamic selection of size tolerance threshold for fusion determination;And sorting execution and data management step.The application overcomes reflection by composite lighting scheme, combined with accurate size measurement and intelligent defect identification, significantly improves production quality and product reliability.

The application relates to the technical field of flow detection, and discloses a malicious flow detection method based on feature rules, which extracts malicious flow detection feature rules in a piece-by-piece mode for format checking and extracts relevant rule option information; constructs a rule divide-and-conquer chain according to the relevant rule option information, constructs a rule grouping for rules with the same divide-and-conquer chain path; selects part of rule options of each rule according to the rule grouping, and constructs a multi-mode intensive graph corresponding to the grouping; constructs a precise detection chain for each rule according to the multi-mode intensive graph; the detection performance of a preposed malicious flow detection engine based on feature rules is improved, the problem that the detection effect of a network security product is poor due to the insufficient performance of the preposed detection engine based on feature rules is solved, and the effects of discovering suspicious flow in a timely manner and removing normal flow more quickly are achieved.

The utility model discloses an RFID label detection device which comprises a detection base, the detection base is provided with a detection mechanism, the detection mechanism comprises a main control board, the main control board is connected with a plurality of sensors, the sensors are electrically connected with the main control board through wires and radio, the detection base is provided with a segmentation mechanism, and the segmentation mechanism is connected with the main control board. The sectioning mechanism comprises sectioning push rods movably arranged on the detection base, the sectioning push rods are located on the two sides of the detection base, and the sectioning push rods block materials on the detection base in the stretching-out state; through the structural design of the segmentation mechanism, materials are accurately controlled to enter a detection area one by one, overlapping of multi-label signals is avoided, the misreading rate is reduced, meanwhile, unqualified materials can be rapidly removed, early warning is conducted on abnormity through sound-light alarm, and manual intervention is reduced.

The utility model discloses an intelligent system of microbial cause liquid milk viscosity change detection, including frame body and install first storage unit and second storage unit on frame body, still include the detection unit and be used for the snatch unit of handling between each unit between being equipped with between first storage unit and second storage unit, the snatch unit includes snatch frame and installs first drive assembly on snatch frame, and the first drive assembly output end is connected with swing bar assembly, and swing bar assembly is connected lifting assembly, and is equipped with at least two groups of sucking disc on lifting assembly, when first drive assembly rotates, swing bar assembly can drive sucking disc and carry the packing box of dairy product between two positions. The utility model discloses can detect whether the dairy product is qualified, and complete the defective product elimination and the packing, and improve the detection production efficiency.