16results about How to "Find exactly" patented technology

The utility model relates to the technical field of valve core machining, and discloses a precision instrument lathe for a faucet valve core, which comprises a lathe body, a cutter head is arranged on the top surface of the lathe body, a placing block is fixedly connected to the top surface of the cutter head, and a dismounting assembly is arranged on the top surface of the placing block. An infrared positioner is connected to one side of the dismounting assembly in an inserted mode, and a hydraulic rod is fixedly connected to the interior of the placing block. According to the precision instrument lathe for the faucet valve element, through the arrangement of the clamping assembly, when the precision instrument lathe is used, a rotating block is rotated, the rotating block rotates to drive an inserting rod to move, and the inserting rod is pulled out of the interior of a cutter, so that the cutter can be replaced, various machining operations can be achieved on the same lathe, and the machining efficiency is improved. The machining requirements of different parts are met, the universality and flexibility of a machine tool are improved, meanwhile, the phenomenon that a cutter is abraded after being used for a long time can be avoided, and therefore the production quality of the device is improved.

The application relates to the technical field of digital communication, and provides an implementation method for obtaining an optimal FIR filter based on EVM calculation. In the method, a low-pass FIR filter coefficient range is set, a P times sampling signal is obtained through sampling rate conversion and low-pass FIR filter filtering, wherein P is a natural number; EVM is calculated for the extracted sampling points; the optimal sampling point in the P times sampling signal is determined according to the calculated EVM result value; the corresponding system parameters and coefficient range of the FIR filter are found according to the optimal sampling point, so that the optimal FIR filter is determined. In the application, EVM is used as the evaluation function of the optimal filter, and the optimal filter coefficient under various constraint conditions can be quickly and accurately found. Especially for a system with limited hardware resources, the optimal filter can be obtained through setting different constraint conditions and floating point (fixed point) schemes.

This invention relates to a method, apparatus, and medium for rapid sorting of poultry meat percentage based on X-ray imaging. The method includes: Step S1: acquiring X-ray images of the poultry to be tested; Step S2: identifying the sternal region and skin boundary based on the X-ray image; Step S3: drawing a normal at the sternal apex, obtaining the intersection of the normal at the sternal apex and the skin boundary as the first surface point, and obtaining the initial bone-skin distance based on the distance from the sternal apex to the first surface point; Step S4: obtaining the angle between the X-ray machine's visual axis direction and the normal direction of the first surface point as the consistency difference angle, obtaining the sternal integrity ratio and sternal principal axis attitude angle based on the sternal region, and correcting the initial bone-skin distance based on the consistency difference angle, sternal integrity ratio, and sternal principal axis attitude angle to obtain the corrected bone-skin distance; Step S5: obtaining the meat percentage grading result based on the corrected bone-skin distance. Compared with the prior art, this invention can achieve poultry meat percentage sorting based on X-ray imaging.

This invention relates to the field of image processing technology, and more particularly to a method and apparatus for item retrieval based on video backtracking. The method includes: determining the item characteristics, search area, and search time period of the item to be found based on a received item retrieval request; wherein the item characteristics include at least one of category features, appearance features, and image features; determining the video to be found based on the search time period and the search area; determining keyframe images of the video to be found based on the motion vectors of feature points in each frame of the video; performing image recognition on the keyframe images based on the item characteristics to determine the bounding box coordinates and timestamp of the item to be found in each keyframe image; and determining the search area of ​​the item to be found based on the timestamp and the bounding box coordinates. Compared with existing technologies, this invention has advantages such as more accurate filtering of keyframe images and improved efficiency and accuracy in item retrieval.

This invention provides a multifunctional, breathable tree grate, comprising a first grate body and a second grate body, which are spliced ​​together. A circular through-hole is located at the center of the spliced ​​first and second grate bodies. Multiple ventilation holes are formed on both the first and second grate bodies, evenly distributed circumferentially along the circular through-hole. A rotatable support mechanism is provided on the top surface of both the first and second grate bodies. These two support mechanisms work together to support the tree trunk, keeping it vertical. The support mechanism has a self-locking function. In this invention, the support components can support the sidewalls of the tree trunk, thus preventing it from tipping over. Workers can accurately and promptly locate a fallen tree trunk by combining positioning information and the trunk's tilting status, then straighten it back to an upright position, ensuring the tree can grow normally.

In view to the problem that laser SLAM is completed based on static assumption, and a large number of dynamic residues are generated in the environment containing dynamic obstacles, resulting in the decline of mapping and positioning accuracy, the application discloses a laser SLAM method for solving dynamic residues.The method comprises the following steps: firstly, the point cloud data acquired by the laser radar is divided into grids; then, the ground points are separated, and the non-ground points are clustered to remove noise, the initial pose is judged by using the IMU information and the point cloud information, and if the IMU initialization fails, the laser odometry mode is run; finally, the growing height descriptor is introduced, the suspected dynamic residue area is acquired, and the acquired dynamic residues are removed by using the space-time constraint. The application removes the noise by clustering, introduces the growing height descriptor and the space-time constraint to remove the dynamic residues, improves the mapping and positioning accuracy, and solves the influence of dynamic obstacles on mapping.

The invention relates to the technical field of mineral analysis, in particular to a quantitative analysis method for the occurrence state of gold in an ore deposit. The quantitative analysis method for the occurrence state of the gold in the ore deposit comprises the steps that an ore sample is pretreated, and the total content of the gold in the ore sample is obtained. And carrying out gold hyperaccumulation treatment on the pretreated ore sample to obtain a hyperaccumulated ore sample. Respectively manufacturing resin targets for the pretreated ore sample and the hyperaccumulated ore sample, and analyzing each resin target by using TIMA. And carrying out microcell in-situ analysis on the sulfide resin target by using LA-ICP-MS. And carrying out quantitative analysis on the occurrence state of gold in the ore sample by combining data obtained by TIMA and LA-ICP-MS analysis. Compared with a traditional qualitative or semi-quantitative method, the method has higher resolving power and application universality, is suitable for research of different types of gold deposits, and provides reliable data support for follow-up dressing and smelting process optimization.

This invention discloses an audio segmentation and classification method based on multi-granularity slicing, comprising: preprocessing the audio to obtain an audio file with a uniform sampling rate; slicing the audio file at different time granularities; extracting MFCC features from each slice at different time granularities and then performing image processing; establishing an image classification convolutional neural network model and training and validating it; inputting the processed audio into the image classification convolutional neural network model to obtain the classification result of each slice; and performing aggregation analysis based on the classification results to obtain the segmentation points and segment types of the audio file. This invention, by segmenting long audio files at different time granularities, utilizing an image classification convolutional neural network model for type judgment and classification, and finally performing aggregation analysis, can quickly and accurately find the segmentation points between different types of audio and determine the audio types of the audio segments before and after the segmentation points.

The invention relates to the technical field of security testing, and discloses a model performance testing method, device, equipment and medium, which are used for sending pressure data to a code task model, receiving GPU load, token processing efficiency and response time fed back by the code task model, and dynamically adjusting the pressure data to ensure reasonable utilization of hardware resources and explore limit performance of the model. When the GPU load is too high, the pressure is reduced, when the response time exceeds the standard, the user load capacity limit value is determined, when the token processing efficiency reaches the peak value, the maximum processing efficiency is determined, and finally the two key indexes serve as test results. According to the method, the pressure data is adjusted in a multi-gradient manner, so that the pressure data is closer to dynamic irregular fluctuation of concurrency in a real production environment, and the accuracy of a model test result is improved.

The utility model discloses a three-way connector and extension pipe storage box which comprises an upper shell and a lower shell detachably connected to the lower portion of the upper shell, and the upper shell or the lower shell is provided with a plurality of clamping assemblies which are in one-to-one correspondence with connectors and can clamp the connectors. With the adoption of the structure, various infusion pipelines and three-way connectors can be tidied effectively and tidily, so that medical staff can find the required three-way connectors or deep vein connectors quickly and accurately; interference of disordered infusion pipelines and connectors on a patient can be reduced, the comfort level of the patient is improved, and the containing box can be provided with specific color codes or identification symbols, so that medical staff can more accurately position the needed connectors.

The utility model relates to an RFID blood management system, and belongs to the technical field of medical instruments, and the system comprises a blood sample box which is used for placing a blood sample; the sample refrigerated cabinet is provided with a plurality of placing bins which are arranged in rows and are used for placing sample boxes; the radio frequency scanning mechanism is arranged in the sample refrigerated cabinet and is used for carrying out radio frequency scanning on the blood sample in each placement bin and acquiring blood sample information; the control host is electrically connected with the sample refrigerated cabinet and the radio frequency scanning mechanism and is used for controlling the moving work of the radio frequency scanning mechanism; the radio frequency scanning mechanism comprises a moving track and a radio frequency scanning reader-writer movably arranged on the moving track, and the moving track and the sample refrigerated cabinet are arranged in parallel. According to the blood management system, the blood samples can be conveniently stored and taken in the blood bank, and the batch management efficiency of the blood samples is improved.

The application provides a vein data processing method and system based on image analysis, which comprises the following steps: receiving a desired region sequence generated by a user terminal based on a limb model, performing scale conversion on the target limb image of the desired region sequence, generating a target region sequence and sending it to an operation terminal, obtaining a probe position based on a collection device, generating guide information based on the probe position and the relative position of the target region sequence, determining the overlap degree of the probe position and the target region sequence in real time, obtaining a target image based on the overlap degree, when none of the target images meets the puncture condition, processing the target image according to a connectivity strategy to obtain a predicted amplitude and a predicted direction, generating a predicted region sequence based on the predicted amplitude and the predicted direction, and obtaining a recommended point based on the predicted region sequence. The application can meet the personalized puncture requirements of patients while realizing the accurate positioning of the puncture point.

The utility model relates to a kind of virtual power plant internet-of-things access device with safety protection function, belong to power distribution device technical field. Including: access casing, mainboard, multiple function modules and multiple clamping mechanisms, the mainboard is fixedly installed in the access casing, multiple the clamping mechanism is spaced and fixedly installed on the mainboard, multiple the function module one-to-one correspondence with multiple the clamping mechanism clamping, the function module is electrically connected with the mainboard. The utility model is favorable to reduce the replacement maintenance difficulty of function module in access device, improves replacement maintenance efficiency.

This invention provides a statistical method and system for network alarm association rule mining and fault location. The method preprocesses network alarm data to remove frequently occurring jitter alarms and reduce data redundancy. It then scans the processed alarm data, calculates the number of alarm types, and establishes a timing matrix and a counting matrix. The method further scans the alarm data and processes it in segments using a sliding time window method, including processing alarms within the time window based on their alarm codes, occurrence times, and corresponding records in the timing matrix. Finally, it calculates the support and confidence of the corresponding alarm association rules based on the alarm co-occurrence frequency information in the counting matrix, thus obtaining and outputting association rules through alarm data processing. This invention effectively processes network alarm data while considering both operational efficiency and accuracy, thereby achieving more efficient and accurate network fault location.

This utility model relates to a deep vein catheter fixation patch, comprising a fixation patch body that can adhere to the skin at the puncture site. An opening for the catheter to pass through is provided on the fixation patch body. A puncture site disinfection pad surrounds the edge of the opening and contacts the skin at the puncture site. The first tip of the catheter passes through the opening and is fixed to the outer surface of the fixation patch body. A heat-sealing film covers the outer wall of the catheter. A second tip of the catheter is fixed to the outer surface of the fixation patch body. The puncture site disinfection pad surrounds the edge of the opening and directly contacts the skin at the puncture site. This continuously disinfects and sterilizes the skin around the puncture site, effectively inhibiting microbial growth. It can fill any gaps that may exist between the catheter and the skin, blocking the pathway for microorganisms to enter the body. The heat-sealing film covering the outer wall of the catheter forms a physical barrier, reducing contact between external microorganisms and the catheter, and preventing microorganisms from spreading along the outer wall of the catheter to the puncture site.

The application discloses a pipeline with a leakage point monitoring and alarming function, and belongs to the technical field of pressure pipeline leakage point monitoring and alarming, which comprises a pipeline body, a composite belt, arc-shaped clamping plates and a reinforcing assembly. The pipeline body is designed in a sectional mode, and a mounting plate is arranged on one side of the pipeline body along the length direction. The outer wall of the pipeline body is provided with the composite belt, which is used for detecting the stress change of the outer wall of the pipeline body. The outer wall of the pipeline body is provided with a plurality of groups of arc-shaped clamping plates at equal intervals. Each group comprises two arc-shaped clamping plates symmetrically arranged on the two sides of the pipeline body. The reinforcing assembly is arranged between the mounting plate and the arc-shaped clamping plates. The reinforcing assembly drives the two arc-shaped clamping plates of each group to move relative to each other, so as to clamp and reinforce the area of the outer wall of the pipeline body where the stress change occurs. The application effectively prevents the expansion of the tiny leakage of the pipeline, avoids more serious problems caused by the leakage, and guarantees the normal operation of the pipeline.