24results about How to "Improve quality control efficiency" patented technology

The invention discloses an X-band weather radar reflectivity data quality control method based on deep learning, and belongs to the technical field of meteorological data processing. The deep learning technology is introduced, the convolutional neural network is used for extracting the space and time characteristics of the original reflectivity data, high-precision data quality evaluation and classification are achieved, noise, low-quality and high-quality data can be efficiently recognized under the complex meteorological condition, and through real-time monitoring and a periodic optimization mechanism, the real-time performance of the system is improved. Model parameters are dynamically adjusted to adapt to data input changing in real time, the accuracy and reliability of data processing are guaranteed, through modular integration of a deep learning model, the deep learning model can be embedded into an existing meteorological system, automatic and intelligent application of data quality control is achieved, the data processing efficiency and quality control precision are remarkably improved, and the data processing efficiency is improved. And technical support is provided for the fields of weather prediction, climate research, disaster early warning and the like.

The invention discloses a method and system for detecting defects of a packaging box by using image processing, and relates to the technical field of automatic production, and the method comprises the steps: obtaining a high-resolution image of a key area on the surface of the packaging box, and carrying out the preprocessing; matching feature points in the feature descriptor matrix Euclidean with feature points of a standard template image through a K-nearest neighbor algorithm, and aligning the matched feature points by adopting a deformation tolerant image alignment algorithm; feature point density analysis is carried out on the aligned packaging box image, and a grid area with potential flaws on feature points is identified; based on the identified potential flaw area, using a gray-level co-occurrence matrix to carry out texture feature analysis, and further judging whether the change of the surface texture of the packaging box accords with the flaw features or not; through feature point density analysis, an area with possible flaws on the surface can be quickly identified, and texture feature analysis is performed based on GLCM, so that the detection precision of tiny flaws is further improved.

The invention discloses an intelligent quality control method and system for a medical linear accelerator, and the method comprises the steps: collecting an image in a quality control operation range of the medical linear accelerator in a treatment room; identifying the quality control equipment in the image and the field arrangement information of the quality control equipment through a quality control equipment identification model, comparing with a radiotherapy plan output by a radiotherapy plan system, and determining whether the field arrangement information of the quality control equipment meets the requirement of the radiotherapy plan; and based on dialogue type interaction mode communication, reminding the user of the next operation specification according to the quality control requirements and the quality control steps, and reminding and confirming the user operation according to the comparison information of the quality control system. Based on artificial intelligence and a large language model, the quality control equipment identification model can intelligently identify the types and placement positions of various quality control equipment in the quality control operation, confirm whether the field arrangement information of the quality control equipment meets the requirements of a radiotherapy plan, and provide a basis for orderly and correct quality control work.

The invention discloses a spinning spindle speed dynamic detection and feature extraction method, relates to the technical field of spinning spindle speed detection, and is used for solving the problem of poor spinning spindle speed detection precision. The high-contrast mark with the periodic texture is installed at the upper end of the bobbin, the geometrical shape, the material and the installation angle of the bobbin are optimized, the image is stable and clear in the high-speed rotation process, the detection precision of the weak twisting phenomenon is improved, the exposure time and the sampling rate are dynamically adjusted, the image can be stably captured at different rotation speeds, and the detection accuracy is improved. The problems of blurring and noise in a dynamic scene in a traditional method are solved, dynamic features are effectively extracted by conducting denoising processing, edge detection and rotation feature analysis on collected images, the weak twist phenomenon is accurately judged through mark position matching and stability evaluation, in addition, based on an image analysis result, a spinning detection strategy is adjusted in combination with a generated signal, and the spinning detection accuracy is improved. Instant feedback and adjustment are provided, and the quality control efficiency and the equipment response speed in the production process are improved.

The invention provides a method and system for protecting data security of ATE equipment, and the method comprises the steps: generating a temporary session key by a test system before test data transmission starts, and exchanging the temporary session key with a data receiver through a secure channel; performing multi-layer encryption on the original test data by using the temporary session key; sending the encrypted test data to a data receiver through a secure channel; and the data receiver decrypts the encrypted test data by using the temporary session key to obtain the original test data. A dynamic key exchange and multi-layer encryption strategy is introduced, data can be prevented from being accessed or tampered by an unauthorized user in the transmission and storage process, the safety and reliability of a test system are greatly improved, test failures caused by data tampering or system faults are reduced, and the test efficiency is improved. And the quality control efficiency of the electronic equipment in the production process is improved to the greatest extent.

The invention discloses a lithium ion battery internal resistance detection tool, and relates to the technical field of lithium ion battery production, the lithium ion battery internal resistance detection tool comprises a material disc, the material disc is used for placing a plurality of rows of lithium ion batteries, the material disc comprises a plurality of linearly distributed transverse blocks, the transverse blocks are rotatably provided with a plurality of bottom plates through rotating shafts, the bottom plates are used for placing the lithium ion batteries, and the bottom plates are used for placing the lithium ion batteries. A supporting plate is fixed to the end, close to one side of the transverse block, of the bottom plate, and a spring used for supporting the weight of the lithium ion battery is arranged between the supporting plate and the transverse block. And the detection mechanism is mounted at the execution end of the external mechanical arm. According to the invention, the internal resistance of the lithium ion battery can be produced and detected on a large scale, manual operation steps are reduced through an automatic detection process, the detection speed and the production efficiency are remarkably improved, meanwhile, the automatic design of the tool can realize a rapid and accurate test process, and the production efficiency is further optimized.

The invention discloses a sand pretreatment device for molding sand casting processing, which relates to the field of casting technology, and comprises a shell, a controller is fixedly installed on the front side wall, and a distribution box is fixedly installed on the right side wall of the shell; a filtering mechanism, the filtering mechanism is arranged on the shell, and the filtering mechanism comprises: a sand inlet hopper, the sand inlet hopper is fixedly installed on the top surface of the shell. In the present invention, a detection mechanism is arranged to enable a gas pump to inject a fixed amount of gas into an air injection bin, and the fluidity of the gas and the air permeability characteristics of the molding sand are utilized to effectively detect the ventilation performance of the molding sand. By arranging the filtering mechanism, three filtrations of the molding sand are realized. This vibration filtering method can effectively remove large particles in the molding sand and improve the uniformity of the molding sand. In the filtering process, the larger particles of the molding sand filtered out in the first two times flow into the collection box through the specific sand outlet and the opening, so that the collection and treatment of unqualified molding sand is realized, which provides convenience for subsequent recycling.

The present invention relates to a method for detecting azacitidine impurities, and belongs to the technical field of quality control of azacitidine. The present invention provides a method for detecting azacitidine impurities, using liquid chromatography, wherein the stationary phase is uncapped octadecylsilane bonded silica gel, the mobile phase is water-acetonitrile=(85-92):(8-15), v / v, and the ion pair reagent sodium octane sulfonate is added to the water phase. Compared with the prior art, the present detection method has the advantages of being able to simultaneously detect three azacitidine impurities, thereby saving analysis costs, high sensitivity, simple operation, separation and accuracy meeting requirements, good impurity peak symmetry, and greatly reducing the concentration of the test sample, thereby extending the tolerance and service life of the chromatographic column.

The invention discloses a non-contact testing device and method for representing the photophysical property of a color conversion material in a working state. The non-contact testing device comprises a continuous light source, a pulse light source, a reflecting mirror, a dichroscope, a beam splitting mirror, a photomultiplier, time correlation single photon counting equipment and a fiber optic spectrometer, continuous steady-state light emitted by the continuous light source is emitted to the dichroscope through the reflector, and light reflected by the dichroscope is emitted to the color conversion material; pulsed light emitted by the pulsed light source as a perturbation light source is transmitted to the color conversion material through the dichroscope; the photoluminescence excited by the color conversion material is divided into two parts by the beam splitter, a small part of the photoluminescence emitted by the beam splitter is emitted to the photomultiplier, and an optical signal detected by the photomultiplier is sent to the time-dependent single-photon counting equipment for single-photon event measurement; most of the photoluminescence emitted by the beam splitter enters the fiber optic spectrometer to obtain a steady-state photoluminescence spectrum. The device and the method can be widely applied to the photophysical property test of the color conversion material.

The utility model relates to the technical field of medicinal material drying machines, and discloses a fruit medicinal material drying machine with a gas collection function, which comprises a drying chamber, a gas collection component is arranged on one side of the drying chamber and comprises a supporting block, the bottom of the supporting block is fixedly connected with the top of the drying chamber, and the gas collection component is arranged on the other side of the drying chamber. The top of the supporting block is fixedly connected with an air suction pump, the input end of the air suction pump is fixedly connected with a first connecting pipe, a plurality of suction nozzles are fixedly connected into the first connecting pipe, one end of each suction nozzle is fixedly connected with the interior of the drying chamber, and a connecting assembly is arranged on the outer wall of the guiding-out pipe. According to the utility model, negative pressure is generated through the movement of the getter pump, so that gas in the drying chamber is pumped out through the gas collecting pipeline and stored in the gas storage chamber, the effect of automatically collecting gas in real time is realized, and the problem that the gas condition in the drying chamber cannot be mastered in real time in the traditional fruit medicinal material drying machine is solved; and the quality control efficiency in the medicinal material drying process is improved.

This invention discloses a quality intelligent control method, system, and equipment based on big data analysis of logistics networks. The method includes: aggregating and integrating initial data collected by data acquisition equipment to obtain integrated data and preprocessing it; performing correlation analysis on the preprocessed data in conjunction with transportation orders to obtain correlation feature analysis information and configuring a corresponding correlation analysis model; performing trend analysis on the correlation feature values ​​corresponding to each transportation type in the preprocessed data to obtain correlation feature trend analysis information and performing quality trend analysis to obtain quality early warning analysis information; and optimizing the correlation feature analysis information according to quality optimization strategies to obtain quality optimization suggestions. The above-mentioned quality intelligent control method can integrate and aggregate initial data from multiple environments and perform correlation analysis and quality trend analysis in conjunction with transportation orders to obtain quality early warning analysis information and quality optimization suggestions, significantly improving the efficiency of quality control in the logistics transportation process.

The invention relates to a steel surface defect detection method and device, computer equipment and a storage medium, and belongs to the technical field of steel surface defect detection. The method is improved based on a YOLOv10 model, and comprises the following steps: embedding an ECA attention mechanism in a backbone network C2f module, and enhancing key feature representation; dEConv details are introduced into the convolution layer to enhance convolution, and defect space details are supplemented; the detection head is integrated with an MBConv module, and the positioning precision and the detection speed are balanced; the loss function is replaced by NWD, and the problem of small defect detection pain points is solved. According to the method, through multi-dimensional optimization of the model, the accuracy and robustness of steel surface defect detection are improved while light weight and high efficiency are kept.

The invention discloses a rapid detection method of a compound natural pigment, and belongs to the field of food detection. The method comprises the following specific steps: preparing a compound natural pigment sample as a to-be-detected experimental sample, and preparing a standard sample with the same concentration as the experimental sample; fixing the volume of the experimental sample and the contrast sample by using water or an organic solvent, then filtering by using a filter, and keeping the filtrate for later use; pouring the filtrate into a glass cuvette, setting a wavelength range, scanning, and testing by taking experimental water or an organic solvent as a blank to obtain the maximum absorbance under the characteristic wavelength of the sample; comparing the maximum absorbance of the experimental sample with the maximum absorbance of the standard sample; meanwhile, the pH values of the standard sample solution and the experimental sample solution are measured and compared, so that whether the concentration of the compound natural pigment of the experimental sample and the type of the pigment are correct or not is determined. According to the rapid detection method for the compound natural pigment, provided by the invention, the detection object is expanded, the detection accuracy is improved, and whether the concentration of the natural pigment of a final product and related materials meet the product requirements or not can be determined.

The invention provides a zero adjustment method and device for a tobacco moisture meter, a storage medium and electronic equipment, and is applied to the technical field of automatic control. The method is based on moisture meter zero position characteristic data and a moisture meter zero position prediction model of a tobacco production line, the moisture meter zero position characteristic data comprises a point position of a target moisture meter, tobacco mark data, an environment temperature value and an environment humidity value, and the moisture meter zero position is adjusted in real time. Whether zero adjustment is needed or not is judged by comparing the zero predicted value with the zero actual value, and if adjustment is needed, zero adjustment suggestions and zero update of the moisture meter are provided according to the deviation between the moisture display value and the moisture measured value. According to the method, the zero position of the moisture meter is monitored through the zero position characteristic data of the moisture meter, and the zero position deviation measurement can be timely guided, so that the zero position of the moisture meter is timely and effectively adjusted, the product quality is guaranteed, and the quality control efficiency of the tobacco primary processing technology is improved.

The invention belongs to the technical field of medical equipment quality control, and particularly relates to a medical linear accelerator quality control data analysis system which comprises a data acquisition module, a data analysis module, a deep learning module, a data storage module and a user interaction module. The data acquisition module is used for acquiring dosimetry data, mechanical performance data and image data of the medical linear accelerator; the data analysis module is connected with the data acquisition module and is used for counting data records in a database, extracting feature information, establishing and analyzing personalized data contents and intelligently screening data through a B / S framework and an advanced computer technology and a deep learning module, so that quick response of analysis data is realized, and the efficiency and the accuracy of quality control work are improved; the change trend of quality control data is predicted by using an LSTM (Long Short-Term Memory Network), potential unstable factors are identified, and the period and frequency of quality control are adjusted.

The invention discloses a decorative paper color difference detection method and device based on spectral analysis, and belongs to the technical field of decorative paper detection. The invention discloses a spectral analysis-based decorative paper color difference detection method and device, and the device comprises an installation housing which is provided with through grooves at two ends; at least one colorimeter, wherein the number of the colorimeters is at least one; and the reciprocating driving assembly is mounted in the inner cavity of the mounting shell. According to the technical scheme, by arranging the reciprocating driving assembly, the colorimeter can keep dynamic synchronization with the moving decorative paper, so that the colorimeter and the measured area keep static relatively, the problems of measurement point offset and continuous incident light angle change caused by relative movement can be solved, chromatic aberration comparison has high consistency and reliability, and the measurement accuracy is improved. Therefore, a reliable basis can be provided for real-time quality monitoring and process adjustment in the production process.

The invention relates to a method for separating and detecting ethyl valerate and impurities thereof, and belongs to the technical field of quality control of ethyl valerate. The invention provides a method for separating and detecting ethyl valerate and impurities thereof, which adopts a gas chromatographic method, and adopts a capillary column with nitro terephthalic acid esterified polyethylene glycol as a stationary liquid as a chromatographic column; temperature programming is adopted, and the temperature raising program is as follows: the initial temperature is 30-50 DEG C and is maintained for 5-10 minutes, and the temperature is raised to 180-220 DEG C at the speed of 10-30 DEG C per minute and is maintained for 2-10 minutes. Compared with the prior art, the method has the advantages that effective separation and detection of the ethyl valerate and impurities of the ethyl valerate such as valeric acid, ethanol, ethyl n-butyrate, ethyl isovalerate, ethyl n-hexanoate, ethyl n-propionate and ethyl acetate can be realized at the same time, the quality control efficiency is improved, the analysis cost is saved, the separation degree and the sensitivity can meet the requirements of accurate detection, and the method is suitable for large-scale popularization and application. And the possibility is provided for more comprehensive quality control of the ethyl valerate.

The utility model relates to the related technical field of filter element production, in particular to an oil filter element end cover uniform gluing device, which comprises a uniform gluing mechanism, a horizontal moving mechanism, a horizontal moving mechanism, a horizontal moving mechanism and a horizontal moving mechanism, the square frame is fixed on the sliding table of the translation unit; the detection mechanism is fixed on the sliding table of the translation unit and can detect the blockage condition; the sealing mechanism is fixed to one side of the lifting unit, the sealing mechanism comprises a gluing unit, and the gluing unit comprises a glue feeding pipe and can seal an end opening of the glue feeding pipe; and the two replacement mechanisms are fixed to the sliding table of the translation unit at equal intervals and can be rapidly disassembled and assembled. According to the glue feeding device, the inclined blocks are arranged to extrude the first L-shaped frames, so that the two first L-shaped frames are gathered in the middle, the glue feeding pipe can be sealed before the spray head is replaced, and the situation that during replacement, excessive glue leaks, resources are wasted, and the surrounding environment is affected is avoided.

The invention discloses a seismic data quality determination method and device and a storage medium, and belongs to the field of seismic data acquisition. The method comprises the following steps: generating quality control images of quality control parameters corresponding to a plurality of node devices, and inputting the quality control image corresponding to each node device into a preset quality control model to obtain a quality control prediction result of the quality control parameter corresponding to each node device, therefore, a worker can obtain whether the quality control parameters of the node equipment are abnormal or not based on the quality control prediction result, quality monitoring does not need to be performed on the acquired seismic data manually, the burden of the worker is reduced, and the efficiency of performing quality control on the seismic data is improved.

The present invention relates to the field of visual recognition, and specifically discloses a spinning quality visual recognition system, comprising a processor, a spinning product image acquisition module and a spinning quality visual recognition module which are communicatively connected to the processor, and are used to solve the problem that the convexity and concavity of a local shadow area cannot be determined when the spinning product image is recognized; the present invention collects spinning product images through a high-resolution camera, performs grayscale threshold segmentation on the spinning product images, divides the spinning product images into a plurality of image area blocks, removes non-shadow areas, obtains shadow areas in the spinning product images, distinguishes shadow areas as convex areas or concave areas, and evaluates the quality of the spinning products by constructing a spinning product quality evaluation model, which can effectively solve the problem that the convexity and concavity of a local shadow area cannot be determined when the spinning product image is recognized, and helps to improve the accuracy and reliability of the evaluation of the quality of the spinning products.

The invention relates to stereotactic radiotherapy equipment for achieving dose tracking and a using method thereof, and belongs to the technical field of radiotherapy equipment.The stereotactic radiotherapy equipment comprises a semicircular connecting piece, a dose tracking detection assembly, an accelerator assembly and a folding lifting mechanism, the interference caused by oblique incidence of the beam and the influence of inaccurate dosage are avoided; the dose tracking and detecting assembly is of a semi-annular structure and can follow a beam in real time to carry out full spherical irradiation, in addition, when the dose tracking system does not need to work or quality control testing is carried out, the dose tracking and detecting assembly is automatically folded to an initial position through the folding lifting mechanism, the dose tracking system is protected, meanwhile, space is saved, the treatment bed is convenient to place, and the treatment bed is convenient to use. Moreover, the quality control test is not affected, and the technical problem that the stereotactic radiotherapy equipment connected with the mechanical arm structure cannot collect the dosimetry information in the radiotherapy process in real time is solved.

This utility model discloses a dust-proof lithium mica disc granulation device. The granulation device includes: a base; a granulation disc rotatably mounted on the base, wherein a support frame passing above the granulation disc is mounted on the base; a feed inlet located above the granulation disc for vertically feeding material onto the granulation disc; and a water spray pipe mounted on the support frame, the water spray pipe including a feeding dust suppression spray pipe and a stirring dust suppression spray pipe; multiple feeding dust suppression spray pipes and stirring dust suppression spray pipes are arranged along the axial direction of the water spray pipe; wherein the nozzle of each feeding dust suppression spray pipe is upward and inclined towards the feed inlet, and the nozzle of each stirring dust suppression spray pipe is downward towards the granulation disc.

The embodiment of the application discloses a pathological technical operation quality control method and related device, which is used for timely investigation. The method is applied to a processing module in a device, the device further comprises an imaging module and a voice module, and the method comprises the following steps: acquiring patient identification information of a patient, and controlling the imaging module to collect real-time images containing tissue carriers; if there is no target tissue carrier in all the tissue carriers contained in the real-time images, controlling the voice module to broadcast preset carrier mismatch prompt information, the target tissue carrier is the tissue carrier with the same identification information as the patient identification information; if there is the target tissue carrier in all the tissue carriers, and the target tissue carrier does not carry tissue, controlling the voice module to broadcast preset tissue loss prompt information; if there is the target tissue carrier in all the tissue carriers, and the target tissue carrier carries tissue, confirming that the tissue is not lost.

This application relates to the field of machining technology and discloses a shaft polishing device, including a frame, a controller fixedly mounted on the upper side of the frame, a data processing module integrated inside the controller, an image acquisition device fixedly mounted on the inner side of the frame, and an inner support assembly provided on the inner side of the frame. This shaft polishing device, by integrating the controller and data processing module, can perform real-time analysis of data from the image acquisition device and laser rangefinder, realizing full-process quality monitoring of the polishing process. This solves the problem of traditional processes only allowing for random sampling, improving quality control efficiency. Simultaneously, the inner support assembly fixes shaft bodies of different diameters through internal support, avoiding the obstruction of the polishing area by traditional external clamps, allowing the shaft surface to obtain complete polishing treatment, significantly improving the surface quality and integrity of the product, and solving the problems mentioned in the background art.