163results about How to "Improve quality inspection efficiency" patented technology

The invention belongs to the technical field of office automation, and particularly relates to an automatic file quality inspection method, device and equipment, a medium and a product. The method comprises the following steps: acquiring an archive to be subjected to quality inspection, wherein the archive to be subjected to quality inspection comprises electronic archive metadata and an electronic archive image; determining an archive management type according to the quality inspection subject item list; according to the archive management type, obtaining a verification rule corresponding to the archive management type according to an archive verification directory; according to the archive checking catalog, extracting key contents required by checking from the electronic archive metadata and the electronic archive image; and verifying the key content according to a verification rule. Based on the method, automatic quality inspection of the electronic file metadata and the electronic file images is achieved, and meanwhile the method is easy to expand and high in universality.

The invention belongs to the technical field of machine learning, and discloses an automatic quality inspection method for annotation information, electronic equipment and a storage medium, and the method comprises the steps: obtaining annotation information on a to-be-trained image; wherein the annotation information comprises coordinates of each annotation frame; the to-be-trained image and the corresponding labeling information are input into a trained large model, the trained large model is used for extracting the feature information of the to-be-trained image to obtain a feature map of the to-be-trained image, and according to the coordinates of all the labeling boxes, the feature map is cut in an equal proportion to obtain picture features corresponding to all the labeling boxes; and carrying out clustering analysis on the extracted picture features corresponding to each labeling box to identify abnormal labels and realize automatic quality inspection of the labeling information. According to the method, the quality inspection efficiency and accuracy of the annotation information can be improved, the dependence on manual auditing can be reduced, and a large amount of labor cost and time cost are saved.

The invention relates to a macroscopic and microcosmic combined wafer defect intelligent positioning system which comprises a macroscopic camera group, a movement mechanism, a computer and a microcosmic camera, the movement mechanism is in transmission connection with the macroscopic camera group, and the macroscopic camera group and the microcosmic camera are both connected with the computer. And the computer processes image data collected by the macroscopic camera group and the microscopic camera group by establishing a defect detection model, an optimal angle prediction model and a macro-microscopic correlation model. The working process of the system comprises macroscopic camera scanning; shooting at an optimal angle; carrying out macroscopic angle shooting; detecting macroscopic defects; microcosmic probability prediction; carrying out microscopic shooting; detecting microdefects; and summarizing results. According to the wafer defect intelligent positioning system based on macroscopic and microcosmic combination, the three models are used in a combined mode, an existing business process is embedded, high-speed, accurate and automatic positioning of defect positions can be achieved, quality inspection efficiency is integrally improved, and enterprises are helped to carry out yield improvement, process control and knowledge accumulation.

The invention provides a product quality sampling inspection method and system based on an industrial internet of things, and a medium, and relates to the technical field of product quality management. The method comprises the following steps: acquiring model data, production data and equipment data, and determining a first preset condition, a first sampling parameter, a second preset condition and a second sampling parameter; obtaining production characteristic data, and responding to the condition that the production characteristic data meets a first preset condition: generating a first sampling inspection instruction based on the first sampling parameter, and obtaining a first quality inspection result; in response to the historical sampling inspection result and / or the historical model data meeting a second preset condition, generating a second sampling inspection instruction based on a second sampling parameter, and obtaining a second quality inspection result; and adjusting a first preset condition, a first sampling parameter, a second preset condition and a second sampling parameter based on the first quality inspection result and the second quality inspection result. According to the invention, the condition and / or strength of sampling inspection can be intelligently adjusted, and the quality inspection efficiency is improved.

The invention relates to a bridge construction quality detection method, system and platform supported by machine vision, and relates to the field of quality detection, and the method comprises the steps: carrying out the first-order crack recognition, and obtaining a target region; collecting a target region image, performing image salient region identification to obtain an image saliency and an image salient region, and dividing a salient region image of the image salient region; configuring an identification node number according to the image saliency, and performing second-order crack identification on the salient region image to obtain crack feature information; and configuring a bridge deformation detection range according to the crack feature information and the image saliency for deformation detection to obtain a deformation detection result, and combining the crack feature information as a bridge quality detection result. The technical problems that a traditional bridge construction quality detection method cannot efficiently recognize bridge crack defects and deformation defects, the missed detection probability is large, the detection precision is low, and the detection efficiency is low can be solved; and the efficiency, the accuracy and the reliability of bridge quality detection can be remarkably improved.

The invention discloses a deep learning model-based berry tea quality spectrum sensing detection method, which comprises the following steps of: acquiring near infrared spectrum data of a berry tea sample by using a portable spectrum sensing device, and preprocessing the acquired spectrum data; preparing a berry tea powder sample from the berry tea subjected to spectrum collection by using a grinding mill; preparing tea soup from the berry tea powder sample by using a solvent extraction method; determining the physical and chemical values of tea polyphenol and dihydromyricetin as quality indexes of the berry tea based on a conventional method; and preprocessing near infrared spectrum data of the berry tea, and inputting the preprocessed near infrared spectrum data into the detection quantitative model to quickly obtain a near infrared spectrum quality index detection result. According to the method, the spectral information of the raspberry tea sample is directly acquired by utilizing the portable spectrum sensing device, a complicated pretreatment process is not needed, and meanwhile, accurate and rapid prediction of the raspberry tea quality index is further realized by utilizing the deep learning model, so that an economical and feasible path is provided for sustainable development of the raspberry tea industry.

The invention discloses a light impact-resistant battery protection shell quality detection device, and particularly relates to the technical field of battery protection shells. The light impact-resistant battery protection shell quality detection device comprises a rack, a second motor is arranged on the outer wall of the rack, a first bevel gear is fixedly connected to the outer wall of a first transmission rod, and a connecting rod is fixedly connected to the inner wall of the second bevel gear; the outer wall of the first threaded rod is in threaded connection with a threaded sleeve, and the outer wall of the first bevel gear is in engaged connection with a third bevel gear. According to the quality detection device for the light impact-resistant battery protection shell, through the arrangement of a first bevel gear, a threaded sleeve, a driver and a protection shell, a worker can conveniently and synchronously detect extrusion and mechanical impact of the battery protection shell, and the efficiency of detecting the quality of the battery protection shell by the worker is improved; and meanwhile, the deviation of the battery protection shell during quality detection is prevented, so that the accuracy of the quality detection of the battery protection shell by the detection device is guaranteed.

The invention provides an integrated circuit quality detection method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring a plurality of integrated circuits; for each integrated circuit, carrying out various rapid detection tests on the integrated circuit according to a predetermined test condition; in response to determining that the plurality of integrated circuits all pass the plurality of rapid detection tests, performing a plurality of sampling detection tests on the plurality of integrated circuits; and in response to determining that the plurality of integrated circuits pass the plurality of sampling detection tests, determining that the plurality of integrated circuits pass the quality detection, thereby solving the technical problem that the quality detection result of the integrated circuit is not accurate in the prior art, and improving the accuracy of determining the quality detection result of the integrated circuit.

The invention provides a detection device for hardware quality detection, and belongs to the technical field of quality detection.The detection device comprises a conveying mechanism, an appearance detection mechanism, a visual detection mechanism, a moving mechanism and a plurality of material containing boxes, the conveying mechanism is provided with a conveying belt for cyclic conveying, and the conveying belt is used for conveying hardware to be subjected to quality detection; the appearance detection mechanism is suitable for detecting the appearance size of the hardware; the visual inspection mechanism is suitable for performing machine visual inspection on appearance defects of the hardware; the moving mechanism is suitable for moving the hardware located on the appearance detection mechanism to the conveying mechanism. The multiple material containing boxes are arranged close to the conveying mechanism and used for containing qualified products meeting the quality requirement and unqualified products not meeting the quality requirement after quality detection correspondingly, and the qualified products and the unqualified products are placed in the multiple different material containing boxes correspondingly according to detection results after detection. The hardware detection device has the technical effects that the appearance size and quality defects of hardware can be detected, the labor intensity of workers is reduced, and the quality detection efficiency is improved.

The invention belongs to the technical field of three-coordinate measurement, and particularly discloses a space parameter measuring system and method for a three-coordinate measuring machine, the system comprises a three-coordinate measuring assembly and a quality inspection and control all-in-one machine connected with the three-coordinate measuring assembly, the three-coordinate measuring assembly comprises an X-axis substrate, a Y-axis substrate and a Z-axis vertical plate, the Z-axis vertical plate is provided with a detection base, and the X-axis substrate is provided with a detection hole; a probe is arranged at the bottom of the detection base; the quality inspection control all-in-one machine comprises a model construction module, and a control module, a coordinate conversion module, a model import module and a comparison module which are connected with the model construction module. According to the invention, the target workpiece model of the target workpiece is imported into the model construction module, the measurement parameters of the target workpiece and the target workpiece model are placed in the same three-dimensional coordinate system, and whether the contour lines coincide or not can be quickly and visually seen by comparing the contour line parameters of the target workpiece model and the target workpiece. And whether the target workpiece reaches the standard or not is obtained through threshold value comparison.

The invention relates to a vibration resistance testing device for frequency converter quality inspection in the field of frequency converter testing, and the device comprises a vibration table which is provided with a fixing part, a testing part and an external detection part. The fixing part comprises a pair of fixing frames, the lower ends of the fixing frames are fixedly connected with positioning plates, and fixing clamping bolts are connected between the positioning plates and the vibration plate; longitudinal electric guide rails are fixedly connected to the top end of the fixing frame, a transverse electric guide rail is connected between the movable ends of the pair of longitudinal electric guide rails, and an electric telescopic rod is fixedly connected to the movable end of the transverse electric guide rail. The side wall of the fixing frame is detachably connected with at least one endoscopic tube, the testing part comprises a vibration motor installed on the bottom plate, and the power output end of the vibration motor is connected with the vibration plate; the outer detection part comprises a wiring table arranged at the side end of the vibration table, the wiring table is fixedly connected with a distribution box, vibration testing can be conveniently carried out on the frequency converter, and detection, identification and judgment can be carried out on inner and outer side results and working states of the frequency converter in the testing process.

The invention provides a surface defect detection method for aero-engine blades, and the method comprises the steps: sequentially shooting each blade, and splicing the blades into a panoramic image; due to the fact that the images are partially overlapped, the images can be sequentially spliced into the panoramic image according to the shooting sequence on the basis of the overlapped parts. The panoramic image not only contains enough defect information, but also can fuse a plurality of blades into the same image, so that the problem that the blades are difficult to match with the corresponding blades after the defects are identified is greatly reduced. Inputting the panoramic image into a recognition model added with a space-frequency dynamic convolution module, a Mangban module and a joint attention mechanism; and finally, outputting defect parts of all blades of the engine to finish identification. On the basis of the scheme, all defects on all the blades can be identified only by carrying out an identification process on the identification model once; the process has enough detection accuracy and does not need a large amount of calculation; and relatively high identification and blade quality detection efficiency can be kept.

The invention provides a charging pile test platform and a detection method. The charging pile test platform comprises an ARM + MCU integrated chip, a load interface, a high-voltage source, a charging gun interface, a display panel, a 32-pin temperature sampling wiring terminal and a power converter.

The invention provides a blade installation quality inspection method and related equipment. The method comprises the following steps: acquiring an installation scene picture; inputting the installation scene picture into an image recognition model, and performing target recognition by the image recognition model to obtain target recognition information; if the target identification information contains complete target object positioning data, obtaining positioning data of a graduated scale and positioning data of a to-be-measured mark from the target identification information; determining an inclination angle and vertex coordinates of the graduated scale according to the positioning data of the graduated scale; determining a zero graduation line of the calibrated scale based on the inclination angle and vertex coordinates of the calibrated scale; determining a positioning point of the to-be-detected mark according to the positioning data of the to-be-detected mark; and determining the distance from the positioning point of the to-be-measured mark to the zero graduation line, determining a measurement reading according to the distance, the graduated scale design scheme, the positioning data and the inclination angle of the graduated scale, and determining an installation inspection result according to the measurement reading. By applying the method, automatic inspection of the blade mounting quality can be realized, and the inspection efficiency can be improved.

The invention relates to the technical field of MOS semiconductors, and discloses a SiCVD MOSFET structure for inhibiting drain-source voltage overshoot, which comprises a metal drain electrode, a semiconductor epitaxial layer, a metal source electrode, a grid electrode and a grid oxide layer covering the surface of the grid electrode, and is characterized in that the semiconductor epitaxial layer comprises an N substrate layer, a diffusion layer, a P well layer, a doped P layer and an N well layer; the profile of the cross section of the grid electrode is in an inverted U shape, and a polycrystalline silicon doping layer is arranged below the grid electrode; the profile of the cross section of the P well layer is L-shaped, and the height of the cross section of the P well layer is higher than that of the cross section of the polycrystalline silicon doped layer; and an N-doped layer is arranged below the polycrystalline silicon doped layer, wherein the N-doped layer blocks the direct contact between the polycrystalline silicon doped layer and the diffusion layer. The polycrystalline silicon doping layer is formed in the semiconductor epitaxial layer through deposition, the polycrystalline silicon doping layer can reduce the influence of drain-source voltage overshoot, concentration of a high electric field is effectively restrained, and the breakdown phenomenon under high voltage is avoided.

The invention relates to the technical field of chemical fertilizer production supervision, and particularly discloses a chemical fertilizer production process supervision and traceability system based on a block chain, and the system comprises a supervision module and a traceability module. The supervision module comprises a sampling inspection unit, a data recording unit, a data processing unit and a data analysis unit, the sampling inspection unit is used for sampling inspection of part of batches of finished chemical fertilizers in all batches of the day, and quality qualification indexes of the sampling inspection part of batches of finished chemical fertilizers are analyzed; and analyzing the discrete coefficient of the quality qualification index of the finished chemical fertilizer of the qualified batch, and finally combining the judgment results of the two groups of data to evaluate the quality of the finished chemical fertilizer of all batches on the current day, so that the finished chemical fertilizer of all batches does not need to be manually casually inspected, a large amount of manpower and material resources are saved, and the working efficiency is improved. And the situations of fatigue and efficiency reduction during manual processing of a large amount of data can be avoided, so that the quality detection efficiency of the finished chemical fertilizer is improved.

The invention relates to the technical field of constructional engineering, and discloses foundation pile quality detection equipment which comprises a foundation pile body, a hoisting plate and a positioning ring, an adjusting ring is rotationally arranged on the lower side of the positioning ring, a positioning plate is arranged between the positioning ring and the adjusting ring, riveting rods are connected to the two sides of the positioning plate, and a straight groove is formed in the side portion of the positioning ring. An arc groove is formed in the side portion of the adjusting ring, the riveting rods are slidably inserted into the straight groove and the arc groove respectively, a connecting rod is installed on the outer side of the positioning plate, an inserting rod is installed at the top of the connecting rod and slidably inserted into the side portion of the hoisting plate, and a clamp used for hanging a heavy hammer body is arranged on the lower side of the hoisting plate. The riveting rod slides in the arc groove and the straight groove, so that the positioning plate moves to abut against the side portion of the foundation pile body, the positioning plate drives the connecting rod and the inserting rod to move, the hoisting plate drives the center of the heavy hammer body and the center of the foundation pile body to be located on the same vertical line, and the clamp is loosened to enable the heavy hammer body to freely fall down to hammer the top of the foundation pile body. Therefore, the high-strain detection efficiency of the foundation pile body is improved.

The invention discloses an agricultural product quality safety inspection device convenient to carry, and relates to the field of agricultural product safety detection.The agricultural product quality safety inspection device comprises a machine body and a top cover hinged to the machine body, a controller is arranged on the machine body, and a plurality of electric heating pieces are arranged on the machine body along a straight line at equal intervals; limiting frames located on the two sides of the electric heating piece are symmetrically arranged on the surface of the machine body. According to the agricultural product quality safety inspection device convenient to carry, the top cover is provided with the clamping grooves and the sample boxes, after agricultural product samples are placed in the top cover, the samples and eluent in all the sample boxes can be mixed through swinging of the top cover, so that elution of pesticides on the samples is facilitated, and under synchronous cooperative use of the pressure applying unit and the pressure maintaining unit, the detection efficiency is improved. The liquid to be detected in all the sample boxes can be synchronously dropped on the test paper cards in the detection process, and all the test paper cards are synchronously folded and extruded, so that all samples can be synchronously detected, and the quality detection efficiency of agricultural products is remarkably improved.

This application relates to the technical field of electrical testing and discloses an online four-wire integrated testing device. The testing device includes a frame, a moving mechanism, and a testing mechanism. The frame has a testing platform, the moving mechanism is mounted on the testing platform, and the product under test is placed on the horizontal moving end of the moving mechanism. The testing mechanism is located above the moving mechanism and includes a lifting assembly, several probe groups, and several electrical drive rods. The lifting assembly is mounted on the frame, and each electrical drive rod is detachably connected to the vertical drive end of the lifting assembly. The probe groups are slidably connected to the electrical drive rods to correspond to the test ports of the product under test. This application effectively improves the quality inspection efficiency of circuit board products during the manufacturing process, enabling rapid detection of multiple defects in the online production stage, avoiding the tediousness and inaccuracy of manual inspection, and reducing downtime in the production process.

The present invention discloses a method, device, equipment and storage medium for quality inspection of customer service recordings. The method comprises: obtaining a customer service recording text, mining segments of the customer service recording text; calculating the scores of the segments, and screening out candidate segments based on the scores; inputting the candidate segments and their scores into a quality inspection model, and determining the quality inspection results of the customer service recordings according to the prediction results output by the quality inspection model. Thus, segments are mined from the customer service recordings, and only the screened candidate segments are quality inspected, which reduces the workload of quality inspection of customer service recordings and improves quality inspection efficiency.

The present invention relates to a vibration resistance testing device for quality inspection of a frequency converter, which belongs to the field of frequency converter testing. The device comprises a vibration table, on which a fixing part, a testing part and an external detection part are installed; the fixing part comprises a pair of fixing frames, the lower ends of which are fixedly connected with a positioning plate, and a fixing bolt is connected between the positioning plate and the vibration plate; the top ends of the fixing frames are fixedly connected with a longitudinal electric guide rail, a transverse electric guide rail is connected between the movable ends of the pair of longitudinal electric guide rails, and an electric telescopic rod is fixedly connected to the movable ends of the transverse electric guide rails; at least one endoscope is detachably connected to the side wall of the fixing frame, the testing part comprises a vibration motor installed on a bottom plate, and a power output end of the vibration motor is connected to the vibration plate; the external detection part comprises a wiring board arranged at the side end of the vibration table, and a distribution box is fixedly connected to the wiring board, so as to facilitate vibration testing of the frequency converter, and the results inside and outside the frequency converter and the working status can be detected and identified during the test.

The invention relates to an ultra-large component electric arc additive system with surface detection and repair functions and a method. The system comprises a laser three-dimensional contour scanning system, a system control unit and an additive manufacturing and remelting repairing platform. The laser three-dimensional contour scanning system is used for compiling a robot detection path and simulating a track, and issuing an instruction to carry out laser contour three-dimensional scanning on the additive component after no error is reported; the system control unit is internally provided with an additive structural part original model, technological parameters of electric arc additive are controlled according to the additive structural part original model, data preprocessing and defect recognition are conducted on scanning data obtained by the laser three-dimensional contour scanning system, and positions and parameters of additive manufacturing and remelting repairing are controlled according to a defect recognition result. According to the method, the problems of insufficient surface precision, incomplete fusion defects and deformation of formed parts during arc additive manufacturing of large components are solved, so that the precision of additive forming is guaranteed, metallurgical defects are eliminated, and the additive quality is improved.

The application provides an electronic component detection method and device, electronic equipment and automatic quality inspection equipment, wherein the method comprises the following steps: obtaining an original image of a to-be-detected object, and extracting a rough positioning image of a target electronic component from the original image; performing mask processing on the rough positioning image based on a mask corresponding to color information of the target electronic component that is determined in advance, to obtain a mask image that retains an installation area of the target electronic component; performing morphological processing on the mask image to obtain a processed mask image; determining the areas of each contour in the processed mask image, and determining the boundary of the accurate position of the target electronic component in the to-be-detected object based on the contour that meets the threshold requirement; and cutting out the image of the target electronic component in the rough positioning image based on the boundary of the accurate position. In the foregoing manner, the application does not need to rely on a preset image template, can get rid of strict control over the placement position and direction of the motherboard, improves the detection efficiency, and reduces the detection cost.

The embodiments of this specification provide a data quality detection method, device and equipment, which relate to the field of artificial intelligence technology, wherein the method includes: generating a data lineage relationship information set based on query conditions; the data lineage relationship information set is used to characterize the relationship between data; using the data lineage relationship information set, determining the data range that needs to be detected; setting quality detection parameters based on the data range that needs to be detected; generating a target structured query statement according to the data range that needs to be detected and the quality detection parameters; using the target structured query statement to perform quality detection on the data within the data range that needs to be detected, and obtaining a quality detection result. In the embodiments of this specification, the target structured query statement can be automatically generated by setting the numerical values ​​of each quality detection parameter, thereby solving the problem that business personnel cannot code, and effectively improving the efficiency of quality detection, and can efficiently respond to the needs of business data governance.

The invention discloses an intelligent quality inspection method and platform for home textile products, and relates to the related technical field of intelligent detection, and the method comprises the steps: obtaining an elastic material center of an elastic home textile product; a central infrared spectrum is obtained through the infrared transmitter and the infrared receiver. And reading a neighbor node strategy, and obtaining a neighbor node of the center node corresponding to the center of the elastic material according to the neighbor node strategy. Cooperative infrared detection is carried out on neighbor nodes through an infrared transmitter and an infrared receiver, and a neighbor infrared spectrum is obtained. Reading a spectrum feedback strategy, and analyzing the neighbor infrared spectrum and the center infrared spectrum according to the spectrum feedback strategy to obtain a target infrared spectrum. And comparing and analyzing the target infrared spectrum and a preset infrared spectrum to obtain the target aging degree of the elastic home textile product. The technical problems that in the prior art, a home textile product quality inspection method is high in quality inspection cost and low in quality inspection efficiency, and the quality condition of the whole home textile product cannot be comprehensively and accurately reflected are solved.

The invention discloses a motor quality inspection method and computer equipment, and relates to the field of industrial automation and precision manufacturing, and the method comprises the steps: determining a plurality of part actual shapes and a plurality of surface actual coatings of a target motor according to image data; comparing the actual shapes of the plurality of parts with standard shapes of the parts corresponding to the plurality of target motor parts to obtain first quality inspection results of the actual shapes of the plurality of parts; component color features and component glossiness features are determined according to the multiple surface actual coatings; comparing the component color feature and the component glossiness feature with a component standard color and a component standard glossiness in the surface standard coating respectively to obtain a plurality of second quality inspection results of the surface actual coating; and when the first quality inspection result and the second quality inspection result meet the preset target motor quality standard, returning a quality inspection qualification result. By implementing the method, personalized quality inspection of different motor types is realized through image analysis, and the accuracy and reliability of quality inspection are improved.

The invention relates to the field of decoration material preparation, in particular to a manufacturing method for producing a decoration material from construction waste, which comprises the following steps: acquiring a preset component image of a target forming component; determining a region analysis mode according to the proportion of the intaglio region of the preset component image; determining a quality detection mode according to whether the preset component image of the target forming component has the intaglio pattern or not, wherein the quality detection mode is ultrasonic detection or radiographic detection for the target forming component; according to the coincidence coefficient of the abnormal quality area and the intaglio area of the target forming component, a preparation adjusting strategy of the target forming component is determined, and the preparation adjusting strategy is used for adjusting the preparation grinding duration or the exciting agent mixing amount. And therefore, the effectiveness of the adjusting mode of the preparation process of the target forming component is improved.

The invention discloses an equipment detection method and device, and belongs to the technical field of industrial detection. The equipment detection method comprises the steps of sending a first control instruction to a to-be-detected equipment end when it is detected that the to-be-detected equipment end in a first area is started; receiving a quality inspection result sent by the to-be-tested equipment end; and sending target information corresponding to the quality inspection result to a target end based on the quality inspection result. According to the equipment detection method, a large amount of labor cost and time cost are saved, the quality detection efficiency before delivery is improved, the situations of missing detection and false detection can be effectively reduced through the automatic detection process, and the accuracy and consistency of quality detection are improved.

The invention relates to the technical field of metallographic analysis of metal samples, in particular to a corrosion detection method for zinc dross in hot galvanizing zinc liquid, which comprises the following steps: longitudinally cutting a zinc liquid block sample obtained by sampling and cooling the zinc liquid to expose a polished surface; a polishing and grinding machine is used for polishing the polished surface, water is added in the polishing process, the water flow is 100-500 mL / min, the polishing temperature is maintained at 20-60 DEG C, and zinc liquid defect judgment is conducted on the middle-upper area of the polished surface under a microscope after polishing. By using the method provided by the invention, a good metallographic corrosion effect can be achieved by adding water during polishing instead of performing metallographic corrosion on the sample by using a conventional acidic corrosive liquid, heating zinc and water to react, and not reacting zinc slag with water, and the condition of over-corrosion is avoided. And the corrosion detection method provided by the invention is low in cost and low in risk, metallographic corrosion of the sample is completed while polishing is carried out, and the efficiency of detecting the quality of the zinc liquid in the production process of the hot-galvanized automobile outer plate is improved.

The application relates to the computer technical field, in particular to a code quality inspection method, a code quality inspection device, an electronic device and a storage medium. The code quality inspection method is used for obtaining target code and a code expansion instruction based on a code management module, analyzing the code expansion instruction, and obtaining a code expansion event, wherein the code expansion event is used for expanding original code based on the target code, the code expansion event is transmitted from the code management module to an event callback module based on the code management module, an expansion callback interface corresponding to the code expansion event is matched from a preset interface database based on the event callback module, the target code is sent to a quality inspection module based on the event callback module and the expansion callback interface, and finally, quality detection is performed on the target code based on the quality inspection module to obtain a quality detection result. The code quality inspection method can automatically trigger quality detection on the target code, and the code quality detection efficiency is improved.