64results about How to "Accurate quality inspection" patented technology

The invention discloses preparation and quality detection method of compound prescription cortex phellodendri chinensis fluid. The quality detection method comprises the identification of forsythia fruit, cortex phellodendri, honeysuckle and dandehon herb, the checking of lonicerae flos, and the content determination of forsythin and berberine hydrochloride. According to the determination method, spots with the same colors are formed in a qualified test article thin-layer chromatogram and in corresponding positions of a reference substance thin-layer chromatogram, and negative control is interference-free, and the method is good in selectivity, simple and accurate. The checking method of lonicerae flos adopts a high performance liquid chromatography, is good in specificity, and can distinguish the situation that lonicerae flos is adopted in the compound prescription cortex phellodendri chinensis fluid to pretend honeysuckle flower to charge material. The content determination of forsythin and berberine hydrochloride is good in linear relation and high in recovery test accurancy, has good repeatability and stability, can accurately and strictly detect the quality of the compound prescription cortex phellodendri chinensis fluid, and guarantees a high quality standard level of the compound prescription cortex phellodendri chinensis fluid.

The invention provides a dual-phase capsule for preventing and treating chronic pelvic inflammation and a preparation method and a detection method thereof. The dual-phase capsule for preventing and treating chronic pelvic inflammation is prepared by extracting 20g of Chinese pulsatilla root, 20g of nutgrass galingale rhizome, 12g of twotooth achyranthes, 12g of Chinese atractylodes, 8g of amur corktree bark and 8g of selinum japenious seed serving as bulk pharmaceuticals, adding a proper amount of superfine silica powder and low-substituted hydroxypropyl cellulose, and adding 80 percent ethanol as a wetting agent. Aiming at the defects in the prior art, a preparation process of the dual-phase capsule for preventing and treating chronic pelvic inflammation is optimized, so that the curative effect of the dual-phase capsule on chronic pelvic inflammation is more remarkable. A systematic, complete and effective component identification and content determination method is established, so that the quality of the dual-phase capsule can be controlled effectively, and the clinical curative effect is ensured.

The invention relates to the technical field of meat product quality inspection, in particular to a method for establishing a data model using a near-infrared spectrum information system to evaluate beef quality, and application of the method in evaluation of beef quality. The method comprises the following steps of (1) establishing large sample data of beef near-infrared spectrum, and inspecting related parameters of the beef quality; (2) according to the corresponding relationship of the large sample data of near-infrared spectrum and the related parameters of the beef quality, establishing a near-infrared spectrum data model, wherein the related parameters of the beef quality include main chemical component indexes and / or quality indexes; the main chemical component indexes comprise one or multiple of protein content, fat content and water content; the quality indexes comprise one or multiple of shear force value, cooking loss rate, water-retaining capability, and color differences L*, a* and b*.

The invention provides a scarless hair transplanting method which is implemented by the following steps of (1) hair follicle detection: a special high-definition hair detection system precisely detects the quality and indexes of hairs and hair follicles; (2) angle customization: a reasonable transplanting scheme is designed; (3) hair transplanting position determination: a carrier adopts a prone position during hair follicle extraction and adopts a horizontal position during hair transplanting; (4) hair follicle extraction: a hair follicle extractor selects different drilling bits for hair follicle extraction; (5) hair follicle separation: a microscope is used for separating the hair follicles; (6) hair follicle cultivation: after being taken down, the hair follicles are put into frozen lactic acid cultivation liquid for cultivation; (7) perforation: the hair follicles are perforated; (8) nano transplanting: a nano-grade hair follicle transplanting instrument is used for realizing transplanting; (9) washing and nursing. According to the scarless hair transplanting method, the transplanting process is short in time, the survival rate is high, the hairs are precisely transplanted, and the hair follicles are easy to recover.

The invention discloses a rapid detection method for adulteration of camellia seed oil based on a near infrared spectroscopy. The rapid detection method comprises the following steps: combining the near infrared spectroscopy with a mahalanobis distance clustering analysis method; combining different waveband selections and different spectrum pre-treatment methods to establish a model for distinguishing the variety of five types of edible vegetable oil; combining the near infrared spectroscopy and a self-organizing artificial neural network to carry out mode identification on the five types ofedible vegetable oil; under a camellia seed oil binary adulteration system, establishing a qualitative distinguishing and analysis model of three types of adulterated edible oil; carrying out singularpoint analysis on an adulterated sample by adopting a statistical method; under the camellia seed oil binary adulteration system, combining partial least squares (PLS) to establish a quantitative analysis model of the three types of adulterated edible oil. The method disclosed by the invention provides technical supports for controlling the product quality on site by a camellia seed oil production enterprise; a rapid, lossless, accurate and environment-friendly novel method is provided for detecting the quality of the camellia seed oil in a large batch by a supervision organization.

The invention relates to the field of artificial intelligence, and provides a telephone quality inspection method and device based on artificial intelligence, equipment and a storage medium. The method comprises the following steps: acquiring a plurality of call records to be processed; marking a corresponding score for each call record to be processed; converting the plurality of call records tobe processed into a plurality of pieces of text information to be processed through a preset sequence neural network model; performing word segmentation to be processed on the text information througha language technology platform LTP technology to obtain a plurality of core keywords and frequency corresponding to the core keywords; taking the frequency of the core keywords as an input xi, takingthe marked call score as an ideal output yi, and inputting the ideal output yi into a neural network to obtain a target neural network; deploying the target neural network to a client; and receivingcall information input by the user, calculating the score of the call information through the ideal weight, and returning the score of the call information to the user. Thus, telephone quality inspection is more efficient.

The invention discloses a method for detecting an adhesive force of a metal layer on the back of a wafer, which comprises the following steps: 1, depositing the metal layer on the front and the back of a wafer sample respectively; 2, selecting a core particle as a detected sample in the wafer sample of which the front and the back are deposited with the metal layers, and welding a lead on the front and the back of the detected sample respectively; 3, pulling the lead on the back of the detected sample by using a tension gauge, and recording a tension value of the detected sample before tension fracture; and 4, analyzing a broken layer position of the detected sample. The method for detecting the adhesive force of the metal layer on the back of the wafer can quantitatively measure the magnitude of the adhesive force of the metal layer on the back of the wafer, is simple and has low cost.

The invention is applicable to the field of automatic detection, and provides an automatic detection method and system for characteristics of an enhanced composite carbon fiber wire core. The system comprises a mechanical support device, a template projection and collection device and a calculation analysis device, wherein the template projection and collection device is movably arranged on the mechanical support device and is used for projecting a template on the surface of the wire core and collecting a template reflected by the surface of the wire core; the template projection and collection device is connected with the calculation analysis device through a data cable, the calculation analysis device is used for auctomatically determining and identifying the characteristics of the wire core in real time by analyzing the phase difference of the two templates according to the template projected by and the template collected by the template projection and collection device.

The invention discloses a detection method of fructo-oligosaccharide and raffinose in infant milk powder. The detection method comprises the following steps: (1) pretreatment; (2) standard solution configuration; (3) liquid chromatogram and regression equation acquisition; (4) qualitative analysis; and (5) quantitative computation by adopting external standard method quantification: computing to obtain the concentration of each of kestose, nytose, 1F-fructofuranosylnystose and / or raffinose by adopting a regression equation of the step (3) according to the area of a chromatographic peak in a sample chromatogram; the research preferably selects the novel hydrophilic material, and develops a qualitative quantification method for simply, quickly, accurately and simultaneously detecting fructo-oligosaccharide and raffinose in the infant formula milk powder by combining the high-performance liquid chromatogram technology.

The invention discloses a liquid food detection sampling device which comprises a bottom box, wherein a sealing layer plate is arranged at the upper end of the bottom box, the sealing layer plate is arranged at the opening position of the upper end of the bottom box, an automatic sampling device is arranged on the sealing layer plate, a plurality of sampling bottles are arranged in the bottom box,the sampling bottles are arranged on a rotating collection structure in the bottom box, the automatic sampling device is connected with the sampling bottles on the rotating collection structure in the bottom box, and the liquid food can be automatically sampled by the automatic sampling device. Compared with traditional manual operation, the liquid food detection sampling device is more convenient and can save labor; the collected liquid food samples are transmitted to the sampling bottles in the bottom box; the plurality of the sampling bottles are arranged in the bottom box; the plurality of the sampling bottles are sequentially connected with the automatic sampling device through the rotating collection structure to simultaneously collect a plurality of samples, the sample collection efficiency of liquid food is greatly improved, detection results can be comprehensively obtained after the plurality of the samples are detected, and quality detection of the liquid food can be more accurately finished. The liquid food detection sampling device disclosed by the invention has the advantages of simple structure, high practicability and easiness in use and popularization.

The invention discloses a crusher for detecting sample leather and braided fabrics, and belongs to a crusher for detecting a small amount of sample leather and braided fabrics. A crushing barrel is divided into a circular inner barrel and a circular outer barrel, wherein a container space is sandwiched between the inner barrel and the outer barrel; a circular frame type squirrel cage is placed in the inner barrel; a central rotation shaft is arranged in the center of the inner barrel; at least three vertical bars are arranged in the circular frame type squirrel cage; the vertical bars and the central rotation shaft are arranged longitudinally; a plurality of blades are arranged on the central rotation shaft at different heights; a cutting edge of at least one of the plurality of blades arranged on the central rotation shaft is provided with sawteeth. The crusher has the advantages that the crusher can reduce the temperature of the crushed material, enables the quality detection of the crushed material to be accurate, and can crush a small amount of leather and braided fabrics without leather sticking and braided fabric winding.

The invention discloses a pear nondestructive testing method based on a neural network and a near infrared spectrum. The method comprises the following steps: firstly obtaining the most representative near infrared spectrum for each sample in an actual operation process of a sorting line, and constructing an initial data set; carrying out pretreatment; then performing feature selection on the whole spectral wavelength interval by using an interval selection and wavelength selection combination mode, and constructing a feature data set according to a selection result; dividing for multiple times according to a K-fold inspection method to obtain multiple groups of training and testing data sets, wherein the input characteristics of the training and testing data sets are spectral data processed in the characteristic data set, and the labels area sugar degree and whether mould core is contained or not; and constructing two neural network models for predicating the sugar degree and predicating that whether a model with the mould core is used for subsequent practical detection. The sugar degree and the mould core are detected with high accuracy, a powerful basis is provided for quality screening of a sorting line, and great convenience is provided for selling of agricultural products.

The invention discloses a quality detection device for a dry immunofluorescence POCT detection instrument. The device comprises a photoelectric detection system quality inspection assembly and an exciting light source quality inspection assembly, the photoelectric detection system quality inspection assembly comprises a photoelectric narrow-band filter lens, a light source and a photoelectric control module for controlling the light source to emit light according to the change trend of fluorescence intensity excited by exciting light irradiation of common test paper; light emitted by the lightsource penetrates through the photoelectric narrow-band filter lens and irradiates on an optical detection system of the dry immunofluorescence POCT detector subjected to quality inspection; and theexciting light source quality inspection assembly comprises an exciting light narrow-band filter lens, a photoelectric sensitive device and an exciting light control module used for recording light intensity signals collected by the photoelectric sensitive device. The photoelectric sensitive device is used for collecting light which is emitted by an optical detection system of the dry immunofluorescence POCT detector to be subjected to quality inspection and penetrates through the exciting light narrow-band filter lens. The device has the advantage that the dry immunofluorescence POCT detection instrument can be effectively and accurately subjected to quality inspection and calibration.

The invention belongs to the technical field of nuclear engineering pipeline welding. In order to achieve smooth repairing and welding of the nuclear engineering pipeline under the radiation environment and ensure the efficiency and quality of the welding operation, the invention discloses a welding system and method of the nuclear engineering pipe under the radiation environment. The welding system includes a first welding unit, a second welding unit and a control unit; the first welding unit is connected to the pipeline to be welded, the second welding unit is connected to a simulation pipeline, and the control unit is simultaneously connected to the first welding unit and the second welding unit and controls a first welding machine and a second welding machine to perform synchronous welding operation; and the simulation pipeline is located in a non-radiation area, and the welding condition is the same as the welding condition of the pipeline to be welded. When the welding system isused for repairing and welding the nuclear engineering pipeline under the radiation environment, the standing time of an operator in the radiation environment can be reduced, the protection of the operator can be improved, the welding operation can be completed quickly and smoothly, and the welding efficiency and quality are improved.

The invention discloses a kaolin reagent quality control product. The quality control product is lyophilized formulation, and the raw material of the lyophilized formulation includes platelet-deficient animal plasma. The R value of the quality control product is 6-8 min, the K value is 2-5 min, the Angle value is 60 DEG-80 DEG, and the MA value is 23-45 mm. The kaolin reagent quality control product is sensitive to the kaolin reagent reaction, so the accuracy of the quality detection is high, and the quality control requirements for the kaolin preparation in thromboelastography test are met. The quality control product has good reconstitution stability and can be stored for a long time under low temperature. The quality control product uses animal plasma as raw material, thus reducing thecost of the quality control and improving the safety of the quality control operations. The invention also discloses a preparation method of a kaolin reagent quality control product, which can preparethe kaolin reagent quality control product with accurate detection results and high stability. The preparation method is stable and reliable, the preparation process is simple and easy to operate, and the preparation method is suitable for the production and application of kaolin reagent quality control products.

The invention discloses a federated learning-based statement quality inspection method, apparatus and device, and a storage medium. The method comprises the following steps: a step of preparing a precursor; when the first terminal obtains the quality inspection example sentence, a first network model corresponding to the first terminal is trained, a first model gradient obtained by training the first network model is transmitted to a federation server, and the federation server aggregates the received first model gradient and a second model gradient sent by at least one second terminal; and the first terminal receives the return gradient sent by the federation server, trains the first network model based on the return gradient to generate a federation quality inspection model, and calls the federation quality inspection model to perform quality inspection on the received statement to be subjected to quality inspection. According to the invention, the federated quality inspection modelis combined with the multi-party data for quality inspection on the premise that the data privacy of each party is strictly protected, so that the safety of the data of each party is protected while the quality inspection accuracy is ensured.

The invention discloses a method and device for intelligently detecting the quality of a rubber and plastic material, and the method comprises the steps: obtaining the first image information of a first rubber and plastic material; obtaining surface pinhole information, surface fine line information and surface density information of the first rubber and plastic material according to the first image information; inputting the surface pinhole information, the surface fine line information and the surface density information into a first training model to obtain an anti-aging performance grade of the first rubber and plastic material; taking the anti-aging performance grade as a first quality evaluation index; obtaining the tensile property grade of the first rubber and plastic material; taking the tensile property grade as a second quality evaluation index; and obtaining first quality information of the first rubber and plastic material according to the first quality evaluation index and the second quality evaluation index. The technical problem that the service life of the rubber and plastic material is shortened due to the fact that the quality of the rubber and plastic material is not comprehensively and objectively detected is solved.

This invention relates to digital broadcasting information flow error test device, which mainly uses MPEG-2 to send information when there is large volume of error and to accurately test bit error rate. This invention comprises the following three parts: one synchronous bit extraction part to extract digital broadcasting information flow for testing digital flow error; synchronous bit memory part to extract bit; comparing device to store synchronous bit and irregular codes to test error bit.

The invention discloses a method for detecting peramivir by reversed-phase high performance liquid chromatography. The method comprises the following steps: preparing a test sample solution, detecting a test sample by reversed-phase high performance liquid chromatography, and calculating the contents of single impurity and total impurity in the test sample according to an area normalization method. According to the method, chromatographic peaks of peramivir and impurities are completely separated by changing a mobile phase, a ratio, the wavelength of an ultraviolet absorption detector and the like; and the method has the advantages of high specificity, accuracy and sensitivity, short peak appearance time, short detection time, accurate and stable detection result, simple detection method and favorable linear relationship, and can perform more accurate detection and quality control on peramivir.

The invention relates to a vibration measurement field, and discloses a vibration quality detection system and method. The system comprises a substrate vibration sensor, an object vibration sensor, a conditioning module, a collection module, an analysis module, an open reading interface, a cloud platform, a control module, a programmable transmission protocol module and a physical interface. The vibration quality detection system and method can cooperate with the rhythm of a production line, and intelligently, efficiently and accurately complete the quality detection of a target detection product, and are intelligent and automatic; in addition, the system and device can upload characteristic values to be detected to the cloud platform for collection and statistics, thereby facilitating data accumulation for setting a detection standard.

The invention discloses an electronic medical record quality inspection method and device, a storage medium and equipment, and the method comprises the steps: firstly obtaining a to-be-inspected target electronic medical record, inputting the to-be-inspected target electronic medical record into a pre-constructed comparison learning model, and carrying out the recognition to obtain a feature vector corresponding to each clause in the target electronic medical record; wherein the comparative learning model is obtained by utilizing a comparative learning framework to train according to the related sentence pairs and the non-related sentence pairs; and then, inputting the feature vector corresponding to each clause into a pre-constructed diagnosis result prediction model, performing prediction to obtain a target diagnosis result meeting a preset primary selection condition, matching the target diagnosis result with a real diagnosis result, and performing quality inspection on the target electronic medical record according to a matching result. Therefore, the feature vectors which correspond to each clause in the target electronic medical record and are obtained through recognition of the pre-constructed comparative learning model and have better comparability and discriminability can be utilized to obtain a prediction diagnosis result with higher accuracy and a quality inspection result of the electronic medical record.

The invention discloses a method for detecting a peramivir intermediate I by reversed-phase high performance liquid chromatography. The method comprises the following steps: preparing a test sample solution, detecting a test sample by reversed-phase high performance liquid chromatography, and calculating the contents of single impurities and total impurities in the test sample according to an area normalization method. According to the method, the intermediate I is completely separated from chromatographic peaks of various impurities by changing a mobile phase, a ratio, the wavelength of an ultraviolet absorption detector and the like; and the detection time is short, the detection specificity, accuracy and sensitivity are high, and more accurate detection and quality control can be carried out on the peramivir intermediate I.

The invention provides a measurement automation terminal quality evaluation system. An indoor acceptance check system collects indoor acceptance check parameters; a field debugging system collects field debugging parameters; and an operation system collects operating parameters. The indoor acceptance check parameters, the field debugging parameters and the operating parameters are sent to a database server; the database server stores the indoor acceptance check parameters, the field debugging parameters and the operating parameters as well as a preset quality score deduction value calculating module; and a quality test server obtains the quality score deduction value calculating module from the database server, calculates the quality score deduction value of a measurement automation terminal according to the quality score deduction value calculating module as well as the indoor acceptance check parameters, the field debugging parameters and the operating parameters, and judges quality level of the measurement automation terminal according to the quality score deduction value. Therefore, accurate quality test can be carried out on the measurement automation terminal.

The invention belongs to the technical field of secondary battery aluminum-plastic film reliability detection, and particularly relates to a soft package battery shell insulation impedance test method. The system according to the method comprises a test box, a sealing cover and a temperature control assembly. The sealing cover is hinged on the test box; test grooves which are uniformly distributedare formed in the test box; the sealing cover is fixedly connected with a sealing gasket over against the test grooves; symmetrically designed first sliding grooves are formed in the two side walls of the test grooves; a temperature control plate is slidably connected in the first sliding grooves. Condensation pipes and heating wires are alternately arranged in the temperature control plate. A first cavity is formed in one side, close to the hinged side of the sealing cover, of the test box; the temperature control assembly is mounted in the first cavity; the temperature control assembly is composed of a regulator, a refrigerator and a heater. According to the invention, an extreme environment is mainly simulated, and the resistance value is tested in the extreme environment so that the insulation impedance test of the soft package battery shell is more comprehensive, and the measurement accuracy is improved.

The invention discloses an automatic detection system for a transparent bottle. The automatic detection system comprises the followings: an optical illumination system providing uniform illumination for an image acquisition system, the image acquisition system collecting a surface image of the transparent bottle and outputting a video signal from a system unit for processing by an image processingunit; and an image processing software system segmenting and positioning a defect area, detecting and judging the transparent bottle, and sending a removal signal for an unqualified product. The automatic detection system not only improves the view angle of a lens, increases a shooting range and improves imaging resolution, but also reduces a calculation process through image segmentation, thereby greatly improving the accuracy and speed of detection.

The invention discloses a floating bush used for inspecting mechanical parts, which consists of a fixed sleeve seat, a fixed sleeve, a movable sleeve and a movable sleeve fixing ring which have unified or parallel axes. The vertical direction is the axis directions of the fixed sleeve seat and the fixed sleeve, the radius of the upper end of the movable sleeve after expanding outwards is greater than the radius of an axis hole of the fixed sleeve, the lower end of the movable sleeve after passing through the axis hole of the fixed sleeve is connected with the movable sleeve fixing ring, and the outside diameter of the part of the movable sleeve passing through the axis hole of the fixed sleeve is smaller than the diameter of the axis hole of the fixed sleeve; the lower end of the fixed sleeve is connected with the upper end of the fixed sleeve seat; and the underside of an axis hole of the movable sleeve is provided with coaxial measurement positioning holes with smaller diameters, an axis hole of the fixed sleeve seat is a measurement positioning hole, and the diameters of the measurement positioning hole of the fixed sleeve seat and the measurement positioning holes of the movable sleeve are the same. When the floating bush is used for inspecting the parts, the movable sleeve used for connecting a through stop pin can move in an allowable tolerance range so that the quality inspection of the parts is more accurate, effective and reasonable.

The invention discloses a tea cloud system based on a temperature and humidity sensor. The system comprises an infrared spectrograph, a central processor unit, a user terminal manager, a user feedback server and the temperature and humidity sensor, wherein tea is detected through infrared spectroscopy; the central processor unit receives detection data of the infrared spectrograph, tea databases are built according to the detection data, and the tea databases are classified according to quality and production places of the tea; the user terminal manager manages register information of users, and login of the users is verified and managed; the user feedback server stores information fed back by the users; the temperature and humidity sensor is used for collecting temperature and humidity information of the tea in the production process. The tea cloud system has the advantage of precisely detecting the quality of the tea through a scientific method.

The invention discloses an intelligent nail detection device. The device comprises a control line, a support rod, a measurement device, an iron nail fixing box, a connection shaft, a belt motor, a second motor and a pressure resisting plate. A motor box and a control panel are fixedly connected with ports of two sides of the control line. A cross frame is mounted in the middle of the support rod.A first motor is disposed on an upper side of the measurement device. A conveyor belt is arranged at a bottom end of the iron nail fixing box. A driving wheel is inlaid on the right side of the connection shaft. A base seat is mounted at a bottom end of the pressure resisting plate. A bottom seat is fixedly connected with a lower side of the base seat. According to the iron nail quality detectionequipment, length detection and hardness detection can be carried out on iron nails through disposing the measurement device and a hammer head, test results are not unique, thus iron nail quality detection is enabled to be more accurate, running speed of the conveyor seat is enabled to be intelligently adjusted and controlled through disposing the conveyor seat motor and the control panel, adjustment can be carried out according to needs for speed detection, and use is very convenient.

The invention relates to the field of high-pressure gas cylinder on-line detection systems for industries such as fire protection, medical treatment and automobiles, in particular to a high-pressure gas cylinder inner surface defect on-line detection system based on machine vision. The problems that imaging is difficult due to the small radial size of the gas cylinder and area-array camera imagingdistortion is caused by the arc-shaped surface are solved. The system comprises an image acquisition unit, a control processing unit, a rotating unit, a triggering unit and a translation unit. The image acquisition unit is connected with the control processing unit, the control processing unit is respectively connected with the rotating unit and the translation unit, the rotating unit is connected with the triggering unit, the triggering unit is connected with the image acquisition unit, and the image acquisition unit is installed on the translation unit.