529 results about "Product inspection" patented technology

The invention discloses a visual detection system and method for tiny flaws of industrial products, and belongs to the technical field of product detection, multi-source image data of a target industrial product under multiple detection angles and illumination conditions are acquired, and an image information matrix is established; performing region segmentation and texture enhancement on the image, and extracting local texture direction inconsistency parameters; carrying out normalization analysis on the pixel ratio under different spectrum channels, and calculating a multispectral reflectance ratio abnormal index; constructing a deep convolution recognition model; reasoning the image by using the model, and outputting a defect judgment result and a confidence score; judging whether the area is a flaw area based on a dynamic threshold mechanism, and outputting a detection report containing flaw position information and a visual heat map; according to the method, multi-dimensional fusion identification of texture structure disturbance and spectral response abnormity is realized, the micro defect identification precision is effectively improved, and the method has high robustness, automation and engineering practicability and is suitable for high-precision quality control requirements of various industrial scenes.

The invention discloses a water meter quality defect detection method and device based on machine vision, and relates to the field of product detection.The water meter quality defect detection device comprises a multi-source collection module used for collecting water meter image data in the assembling process and storing the water meter image data; the marking module is used for manually marking the water meter image data as qualified or unqualified; the extraction and inspection module is used for receiving the water meter image data newly acquired by the multi-source acquisition module and the water meter image data marked as qualified in the marking module in real time, performing foreground extraction on the water meter image data, and comparing the newly acquired water meter image data with the water meter image data marked as qualified; checking whether the newly collected water meter image data source water meter is qualified or not; according to the method, the water meter image data are collected, the water meter image is cut and optimized, the qualified water meter image is selected in cooperation with manual detection, the qualified water meter image is compared with the subsequently collected water meter image data, and the quality of the water meter produced in the water meter assembly production process is inspected.

The invention discloses a finished product detection machine for chinlon stretch yarn processing, and relates to the technical field of chinlon detection, the finished product detection machine comprises a cabinet body, the top of the cabinet body is fixedly provided with an operation table; the press machine is arranged at the top of the operation table, and the press machine is used for applying pressure to the stretch yarn; the detector is used for detecting and recording parameters and data during operation of the press machine; a chute is formed in the bottom of the inner wall of the console; the driving device is arranged on the inner wall of the sliding groove, and the driving device is used for driving the driving device to move on the inner wall of the sliding groove; the hollow cylinder is fixedly mounted at the top of the driving device, the lantern ring is rotatably mounted on the circumferential surface of the hollow cylinder, and the fixing device on one side far away from the detector moves to drive the stretch yarn to be stretched and straightened, so that the stretch yarn is fixed and straightened, and the measurement reliability of the device is improved.

The invention relates to an automatic shaft riveting rotary table production line, which belongs to the technical field of automatic production lines and comprises a shaft riveting module, a shell feeding module and a shaft feeding module. The shaft riveting module is matched with a shaft pressing machine, a finished product detection mechanism and a finished product discharging mechanism through a shaft riveting rotary table to achieve the streamlined riveting process of a shaft and a shell, complete inspection can be achieved on finished products, efficiency is higher, and the shell feeding module achieves uninterrupted supply of the shell through a double-station material preparation system. The shaft body feeding module achieves the functions of vibration sorting, direction recognition and size detection of shaft bodies through a shaft body vibration feeding device and a shaft body detection device, it is ensured that all the shaft bodies conveyed to the shaft body riveting module meet the preset requirements, and the follow-up reject ratio is prevented from rising. All the modules are cooperatively controlled to achieve the production takt far exceeding the manual semi-automatic working condition, and the automatic rejecting rate of defective products is close to 100%.

The invention relates to the technical field of PCB production, in particular to a detection method and control system for an MI process in PCB production and computer equipment. According to the method, PCB key performance indexes are obtained through material characteristic data, then a performance attenuation curve is obtained, the service life of the PCB is predicted in advance, the problem of time hysteresis of finished product inspection is solved, then process parameter compliance values and process defect information are obtained according to processing process data, and the former is used for quantitative evaluation in the process evaluation stage; the method comprises the following steps: providing data for comprehensive evaluation, mining potential defect risks of a machining process, dynamically coupling and analyzing an amplification effect of environmental stress on process defects by combining process defect information and application environment parameters, calculating a reliability index value of a PCB, and finally calculating a comprehensive evaluation value through a process parameter compliance value and the reliability index value. And the reliability of the MI process is judged by comparing the preset threshold, so that the detection accuracy is improved.

The invention relates to the technical field of automatic detection of products, and discloses a transfer device and detection equipment. The transferring device comprises a conveying mechanism and at least two carriers, and the conveying mechanism can drive the carriers to move in a reciprocating mode in the first direction. Each carrier comprises a carrying table, a driving mechanism and a fixing mechanism, the driving mechanism is used for driving the carrying table to overturn between a butt joint position and a non-butt joint position, the fixing mechanism of one of two adjacent carriers is an adsorption mechanism, and the fixing mechanism of the other one of the two adjacent carriers is a clamping mechanism; when two adjacent carriers are in butt joint, the product adsorbed on one carrier can be transferred and clamped on the other carrier, or the product clamped on one carrier can be transferred and adsorbed on the other carrier. Automatic butt joint of the carriers can be achieved, products can be conveniently and rapidly transferred, and the working efficiency is improved; in the product transfer process, the product can be reliably fixed, the product is prevented from falling off, and the product can be positioned in a precise position range so as to ensure the detection precision.

The invention relates to the technical field of oil product inspection, and discloses an oil product inspection analysis method and device, computer equipment and a storage medium, discretization processing is performed on a feature data set by means of domain knowledge and expert knowledge, and each test analysis feature of an oil product can be divided in a mode more conforming to actual business logic and oil product features. And a target feature data set with the highest distinction degree on oil product classification (qualified or unqualified) is screened out through a Gini coefficient calculation method, so that the interference of irrelevant features on result judgment is reduced, and the accuracy of oil product inspection and analysis is effectively improved. Meanwhile, oil product verification is carried out through the decision tree model, a new oil product sample can be rapidly analyzed and judged in the verification process, manual verification is replaced and optimized, the verification accuracy and efficiency are greatly improved, and then the oil product verification and analysis efficiency is improved. Furthermore, the model is constructed in combination with a five-fold cross validation method, and it is ensured that the model has good generalization ability.

The invention provides a lithium battery surface insulation coating digital printing production method, which comprises the steps of UV digital coating, mapping relation establishment, finished product detection, good product grading blanking and defective product repair treatment, and is characterized in that a printing station for executing each surface of a battery and a plurality of nozzles for executing current surface printing are grouped and numbered; and forming a mapping relation table among the printing station, the nozzle and each surface of the battery. When a finished product is detected, the defect type and the bad position information of the insulating coating are obtained, the mapping relation table is inquired according to the defect type and the bad position information, the information of the printing station and the spray head generating the defects is obtained, and then the process parameters of the corresponding printing station and the spray head are adjusted according to the defect type, so that the product defects are found in time; and the function of automatically responding to the defect is realized, so that the production waste is avoided.

The invention relates to the technical field of sheet metal part finished product inspection, and discloses an automobile sheet metal part surface concave-convex defect detection tool and method.The automobile sheet metal part surface concave-convex defect detection tool comprises moving rails, the front ends of the two moving rails are fixedly connected with first connecting blocks, and the rear ends of the two moving rails are fixedly connected with second connecting blocks; a transmission shaft is rotationally connected between the two second connecting blocks, a turnover mechanism is arranged on the left side of the left moving rail and used for turning over the sheet metal part, sliding grooves are formed in the upper sides and the lower sides of the two moving rails correspondingly, and a middle connecting part is slidably connected between the two moving rails. A sheet metal part is placed on four first suction cups, then a driving motor provides power to drive a threaded rod to rotate, so that a middle connecting part can move front and back, a 3D scanner further scans the surface of the sheet metal part and establishes a model, workers do not need to detect the sheet metal part around the automobile, and the detection efficiency is improved. And the whole detection process is quicker and more labor-saving.

The invention discloses an industrial product defect detection system and method based on multi-granularity auto-encoders, and belongs to the field of product detection.The system comprises a service layer and a display layer, and the service layer comprises a reconstruction module, a decoding module and a display module, performing data reconstruction of space granularity, feature granularity and color granularity on an input product image to obtain a reconstruction error matrix of each granularity; the fusion module fuses the reconstruction error matrix of each granularity to obtain a comprehensive reconstruction error graph; the defect detection and positioning module is used for performing threshold segmentation on the comprehensive reconstruction error image, preliminarily calibrating pixels exceeding a set threshold as defect areas, and performing accurate acquisition of defect boundaries on the preliminarily calibrated defect areas by using a positioning algorithm; and the display layer maps the defect area into an abnormal thermodynamic diagram, and the abnormal thermodynamic diagram is displayed after being superposed with an original input image. According to the method, complex defect features can be extracted, feature expression quality is improved, and defects are accurately positioned and displayed.

The application relates to the technical field of finished product inspection of sheet metal parts, and discloses an automobile sheet metal part surface concave-convex defect detection tool and method, which comprises moving rails, first connecting blocks fixedly connected to the front ends of the two moving rails, second connecting blocks fixedly connected to the rear ends of the two moving rails, a transmission shaft rotationally connected between the two second connecting blocks, a turnover mechanism arranged on the left side of the left moving rail, the turnover mechanism being used for overturning the sheet metal part, sliding grooves formed in the upper and lower sides of the two moving rails, and a middle connecting piece slidingly connected between the two moving rails. The sheet metal part is placed on four first suction discs, then a driving motor provides power to drive a threaded rod to rotate, so that the middle connecting piece can move forwards and backwards, a 3D scanner further scans the surface of the sheet metal part and establishes a model, personnel do not need to detect around the automobile sheet metal part, and the whole detection process is faster and more labor-saving.

The invention discloses an automatic assembly method and an automatic assembly line for a high-shear-resistance rivet. The automatic assembly method comprises the following steps that S1, a core rod feeding unit is started; s2, a ring feeding unit is started; s3, a rivet body feeding and tightening unit is started; s4, product detection; and S5, a finished product discharging unit is started, a discharging mechanical arm is used for clamping the qualified high-shear-resistance rivet products and placing the qualified high-shear-resistance rivet products in a collecting material frame, the products are manually taken away after the collecting material frame is full, and automatic assembling of the high-shear-resistance rivet products is completed. According to the automatic assembly method and the automatic assembly line, the intelligent assembly technology is applied, the automatic design and the PLC automatic control technology are adopted, high-shear-resistance rivet product assembly automation is achieved, manual production is replaced with automatic equipment, the productivity utilization rate of existing equipment is effectively increased, the labor condition is improved, and the production efficiency is improved. The labor intensity is reduced, the stability and consistency of the product assembly quality are improved, the product production efficiency is improved, and the requirement for high-quality delivery of products is met.

The invention discloses a product front and back side detection device, and particularly relates to the technical field of keyboard product detection equipment, and the product front and back side detection device comprises a top appearance visual detection mechanism and a bottom appearance visual detection mechanism. Through cooperation of the top appearance visual detection mechanism and the bottom appearance visual detection mechanism and combination of the adsorption transfer function of the manipulator mechanism, automatic continuous detection of the front and back surfaces of a product is realized, manual overturning and repeated transfer are not needed, the detection efficiency is greatly improved, collision damage possibly occurring in the transfer process is avoided, and the product quality is improved. The main camera can be accurately positioned through a lifting sliding table, a camera front-back adjusting knob and a camera left-right adjusting knob, four sets of side light-emitting plates can adjust the height and angle to provide adaptive illumination, clear images are ensured, the detection precision is improved, misjudgment is reduced, a buffer module of the mechanical arm mechanism can buffer taking and placing impact, full-process automatic operation reduces manual intervention, and the working efficiency is improved. The method is suitable for batch production and effectively guarantees the detection quality and efficiency.

The present disclosure in some embodiments provides a product inspection method and a system based on deep learning for detecting a product defect. The present disclosure provides a product inspection method and system for detecting product defects by linking a predeveloped deep learning-based classification model to interwork with the existing product inspection system while fine-tuning the classification model to be maintained or supplemented by instantly correcting errors of the classification model, thereby improving the accuracy of product quality inspection.

The invention relates to the technical field of centrifugal pump mechanical seal detection, in particular to a centrifugal pump mechanical seal air tightness pressure maintaining detection tool which comprises a base, a tool frame, a simulation mandrel and an air path system. By introducing a matching structure of the sliding core shaft and the conical sliding block, the conical sliding block is pushed by air pressure to axially move along the sliding core shaft, so that dynamic loading between the dynamic and static rings of the mechanical seal is realized. The design simulates the stress condition of the mechanical seal in an actual assembly state, and can effectively detect whether the grinding surfaces of the moving and static rings have tiny defects or not. Meanwhile, through the design of the multi-stage sealing area, it is ensured that gas in the testing cavity cannot leak, and therefore the accuracy of the testing result is improved. In addition, the tool is easy and convenient to operate, the airtightness test of the mechanical seal can be rapidly completed without professional training, the efficiency of finished product inspection is remarkably improved, and reliable guarantee is provided for the overall quality of the centrifugal pump.

The invention relates to the technical field of flux-cored wires, and discloses a high-rust-resistance flux-cored wire preparation method which comprises the following steps of S1, raw material pretreatment, S2, powder adding and forming, S3, surface modification and S4, finished product inspection. Before work is started, a worker prepares raw materials including high-carbon ferrochrome, tungsten carbide, boron carbide, rare-earth metal oxide and ferromolybdenum powder, then grinding equipment is used for grinding the raw materials, then the ground powder is dried for 2-3 hours through equipment at the temperature of 100-150 DEG C, the dryness of the raw materials is guaranteed, and the raw materials are evenly mixed. The method comprises the following steps: firstly, preparing a flux-cored wire, then uniformly stirring by utilizing three-dimensional mixing equipment, and then mixing and proportioning according to different proportions according to a corrosion-resistant flux-cored wire, an acid-base-resistant flux-cored wire and a high-hardness high-temperature-resistant flux-cored wire, so that the welding wires with corresponding properties can be conveniently used according to different environments, and the maximization of the functionality of the welding wire is improved.

The invention belongs to the technical field of industrial Internet of Things, and particularly discloses a data classification method, system and device based on the industrial Internet of Things and a medium, and the method comprises the steps: obtaining the use authority after the system of the industrial Internet of Things is accessed, and then connecting an industrial robot through an Internet protocol; acquiring equipment parameter data and product detection data based on a data interface of the industrial robot; according to the key features of the product detection data, obtaining a product classification result through a MinHash algorithm; and based on the equipment parameter data and the differential privacy federated learning framework, classifying the data of the industrial robot through the classification model. The invention aims to solve the problem that the data classification method of the industrial Internet of Things in the prior art cannot realize the classification of the data of the industrial robot on the premise of protecting the data privacy and security. The problems that robot management devices in the industrial Internet of Things cannot be efficiently cooperated for joint training, and precise classification of industrial robots cannot be achieved are solved.

The invention discloses a three-dimensional laser scanning method and system, and relates to the technical field of three-dimensional laser scanning, and the method comprises the scanning steps: S1, transmitting sine wave laser to a to-be-detected product based on a laser transmitter, and receiving the reflected laser by a receiver; scanning at a plurality of different positions; s2, analyzing ambient light during scanning through an adaptive filtering algorithm, and adaptively adjusting filtering parameters; s3, measuring the phase difference between the emitted laser and the reflected laser, calculating the distance from the target point to the scanner, and recording and acquiring data during laser scanning; and S4, analyzing the scanned data, and setting a threshold value and a judgment condition. According to the method, distance errors caused by phase settlement errors are reduced, the accuracy of a measurement result is guaranteed, and object details can be accurately captured, so that a complete and fine three-dimensional model is generated, a high-quality data basis is provided for product detection and reverse engineering application, and the working efficiency and the analysis accuracy are improved.

The invention discloses galvanized structural steel with the export strength grade of 280 MPa and a production method of the galvanized structural steel. The production method comprises the following steps: (1) a smelting process; 2) a hot rolling process; 3) an acid rolling process; 4) annealing process; the galvanized structural steel comprises the following chemical components in percentage by mass: less than or equal to 0.21% of C; less than or equal to 0.06% of Si; mn < = 1.50%; less than or equal to 0.015% of P; s is less than or equal to 0.005%, and the balance is Fe and inevitable impurities. According to the method, the requirements proposed by users are combined, the requirements of customers for products, the service environment of the products and the inspection requirements of the products are fully recognized, and the mechanical properties of the products are guaranteed by adding C and Mn elements and microalloy elements. Meanwhile, by means of the measures of adjusting the hot rolling temperature system, the acid rolling reduction rate and the galvanizing furnace area process temperature system, on the basis that the optimal configuration of the product cost is guaranteed, products which are qualified in performance and meet the use requirements of customers can be produced in batches.

The utility model relates to a product inspecting and removing device which comprises a horizontal conveying belt, and a pushing assembly and a backup plate are arranged on the same side of the conveying belt. The product checking and removing device further comprises a first photoelectric switch assembly, a second photoelectric switch assembly and a PLC module. The first photoelectric switch assembly comprises a first stand column, a cross beam and a first photoelectric sensor. The cross beam is vertically arranged above the conveying belt, can slide up and down along the stand columns and is selectively fixed on the stand columns; the first photoelectric sensor is movably arranged on the cross beam; the second photoelectric switch assembly comprises a second stand column, a second photoelectric sensor and a third photoelectric sensor, the PLC module is connected with the first photoelectric sensor, the second photoelectric sensor and the pushing assembly. The device has the advantages that the device is suitable for products with rectangular sections of different specifications and models, simple in structure and high in adaptability, and the rejection efficiency and the success rate of unqualified products on an assembly line can be guaranteed.

The invention relates to the technical field of paper detection, in particular to a paper finished product detection system based on a framework paper production process. By extracting defect information, modeling based on a graph structure and carrying out graph convolution operation to smooth an image, a defect area is accurately identified. Large-scale trend and small-scale local anomaly are separated through a wavelet decomposition technology, errors caused by environmental factors are eliminated through a local adaptive regression method, and the accuracy of thickness deviation is ensured. The density uniformity is calculated through ultrasonic feature extraction, the hyperspectral reflectivity is corrected in combination with a physical compensation method of chemical residues, and the chemical residue index is accurately obtained. The comprehensive quality index of the paper is obtained through comprehensive index calculation, so that whether the finished paper is qualified or not is judged, and a basis is provided for paper production adjustment of a production line.

The utility model relates to the technical field of semiconductor wafer detection equipment, in particular to carrying table equipment suitable for wafers of multiple specifications and dimensions. The platform deck equipment comprises a traceless suction nozzle and a lifting device, the traceless suction nozzle is used for adsorbing the wafer, and the lifting device can drive the traceless suction nozzle to ascend and descend so as to drive the wafer to move; the carrying table is erected above the traceless suction cup assembly, a first adsorption boss and a second adsorption boss which are different in size are arranged on the carrying table, the heights of the first adsorption boss and the second adsorption boss in the lifting action direction of the traceless suction nozzle are different, and the carrying table is used for driving the first adsorption boss or the second adsorption boss to adsorb a wafer. According to the invention, different adsorption surfaces are arranged on the carrying platform, so that product detection of wafers with different sizes is met, the requirement that the back surface of a specific product cannot be in contact with the product in a large area is met, the problem that the platform needs to be detached and replaced when machine types are changed is solved, the overall layout reduces the space requirement as much as possible, and a detection equipment structure type library is enriched.

The invention discloses a multi-specification braiding machine spindle seat, drive plate and slide block wear acceleration test system and method, and belongs to the technical field of silk thread braiding machine product inspection. Comprising a test bench support, and the test bench support is provided with a friction behavior simulation mechanism, a transmission mechanism and a multifunctional working condition monitoring system. The device can simulate the stress and wear conditions of the spindle seat, the drive plate and the slide block in the real operation process of different models of knitting machines. The mechanism can rapidly carry out accelerated failure tests of the spindle seat, the drive plate and the slide block, and can carry out frictional wear tests of spindle seats, drive plates and slide blocks of braiding machines with multiple models / diameters on the same equipment by adjusting the axis distance. Besides, the optimal material matching among the spindle seat, the driving plate and the sliding block under the working conditions of different models, different materials, different rotating speeds and the like can be analyzed, meanwhile, vibration and noise in the operation process of the knitting machine are monitored, the functions are comprehensive, and an effective tool is provided for research, development and testing of the knitting machine.

To appropriately evaluate target blow holes to cause a computer to automatically inspect a defect in a cast product.SOLUTION: A product inspection method includes detecting blow holes on the basis of CT data obtained through X-ray photography of a cast product 100, and dividing an internal area of the cast product 100 into a first area 110 and a second area 120. The product inspection method includes performing classification determination for each blow hole present in the first area 110, and performing regression prediction of evaluating the total amount of blow holes present in the second area 120.SELECTED DRAWING: Figure 3

The invention discloses an assembly type printed circuit board detection system based on machine vision, and relates to the field of product detection, and the system comprises a camera module which is used for collecting surface image data of a printed circuit board, and carrying out the preprocessing and contour extraction of the surface image data of the printed circuit board, so as to output a contour image of the printed circuit board; the derivation module is used for receiving the contour image of the printed circuit board, picking up all contours in the contour image of the printed circuit board, and deriving a contour topology of the printed circuit board based on the picked contours; according to the method, the surface image of the printed circuit board is accurately collected, the contour topology is constructed through preprocessing and contour extraction, then the contour topology is compared with the standard topology to achieve qualification judgment, meanwhile, the qualification result can be monitored in real time, the assembly risk can be estimated, the defect area can be accurately recognized and visually presented, the comparison precision of the whole system is improved through multi-stage topology derivation, and the detection accuracy is improved. Risks are pre-judged by using historical data, and defects are positioned by combining grid segmentation, so that the detection efficiency and accuracy are greatly improved.

The present invention relates to the technical field of automatic packaging, and disclosed is an automatic packaging production line for carbon fiber filament rolls, comprising: a robot-based material loading and code scanning apparatus, a roller conveyor line, a weighing apparatus, a roll diameter measuring apparatus, a manual grading assistance apparatus, an automatic labeling apparatus, an adaptive heat-shrinkable apparatus, a sorting apparatus and a reel. In the present invention, a series of operations such as grabbing carbon fiber filament rolls having untouchable surfaces, scanning labels inside cores of the rolls, weighing, measuring roll diameters, grading, labeling, shrink-packaging and sorting can be automatically completed by means of the cooperation of the robot-based material loading and code scanning apparatus, the roller conveyor line, a transfer tooling, the weighing apparatus, the roll diameter measuring apparatus, the manual grading assistance apparatus, the automatic labeling apparatus, the adaptive heat-shrinkable apparatus, and the sorting apparatus on the packaging production line, in conjunction with the process requirements of a client. The present invention has a wide overall application range, greatly reducing manual labor intensity and the number of operators, improving the product packaging quality, and improving the product inspection accuracy.

The invention relates to the technical field of inspection machines, and discloses a plastic defect detection and automatic classification inspection machine which comprises a machine body, a plurality of discharging ports are formed in the side surface of the machine body, a feeding plate and a discharging plate are arranged on the two sides of the machine body respectively, and a feeding roller is arranged in the machine body; the plastic defect detection module is used for collecting image information of the plastic surface and detecting defects of the plastic surface, and the plastic defect detection module is located in the machine body; according to the plastic defect detection automatic classification inspection machine, through the design of the plastic defect detection module in the machine body and the combined design of the first baffle, the second baffle and the channel in the discharging plate, defect-free plastic and defect plastic can be conveyed in different channels, meanwhile, the space structure in the machine body is fully utilized, the occupied area of machine body equipment is reduced, and the production efficiency is improved. The defective plastics can be classified and output according to the defect types of the defective plastics by utilizing the cooperation of the channel and the distribution module.

The invention discloses a packaging box finished product detection system based on image positioning, and the system comprises a space construction unit, a standard coordinate set generation unit, a finished product image shooting unit, and a finished product coordinate set generation unit which is used for obtaining a finished product contour coordinate set of a finished product image in an image collection space; the transformation matrix establishing unit is used for establishing a transformation matrix of standard contour coordinates according to the finished product contour coordinate set and the standard contour coordinate set; the mapping coordinate set generation unit and the coordinate deviation degree calculation unit are used for carrying out coordinate-by-coordinate comparison on the mapping coordinate set and the finished product contour coordinate set and calculating the coordinate deviation degree of each group of coordinate point pairs; the detection report generation unit is used for generating a size detection report according to the coordinate deviation degree of each coordinate point; according to the invention, the deviation between the finished product and the standard can be reflected with pixel-level precision, and the size detection report is generated accordingly, so that the size defect of the packaging box finished product in the subsequent manufacturing environment can be avoided through the size detection report.

The invention belongs to the technical field of aerospace equipment manufacturing, and discloses a full-automatic crimping method for a VPX connector. Comprising the steps of material automatic matching, product flexible assembly, pressure curve fitting and intelligent visual detection. The materials subjected to automatic material matching are assembled through product flexible assembly, and pressure detection, pressure fitting comparison and pressure feedback adjustment are conducted in real time according to pressure curve fitting in the assembling process; and after assembly is finished, finished product inspection is performed through intelligent visual inspection. VPX connector crimping is carried out in an intelligent and automatic mode, crimping work of VPX connector plugs / sockets on PCBs of various shapes and specifications is realized, the production efficiency and the production quality are greatly improved, the cost is reduced, and the production reliability is guaranteed.

The invention relates to a medical test paper production process tracing method and device. The medical test paper production process tracing method comprises the steps of obtaining raw material quality information, generating a corresponding first tracing record, formulating a production process, obtaining production information of each unit step in the production process, and generating a corresponding second tracing record. Obtaining production environment quality information, generating a corresponding third traceability record, and generating a corresponding fourth traceability record according to the calibration result feedback information and the maintenance result feedback information; formulating a finished product inspection process, and generating a corresponding fifth tracing record; the raw material quality information, the production flow information, the production environment quality information, the equipment calibration flow information and the finished product inspection flow information are acquired, and the corresponding tracing record is generated in each step, so that comprehensive tracing of the whole production process is realized, and improvement of the product quality, the compliance and the production management level is facilitated.