A method and device for quality control of gas cylinder production

Abstract

The application provides a kind of gas cylinder production quality control method and device, it is related to gas cylinder manufacturing technical field, the gas cylinder production quality control method, comprising: obtaining the initial state thermal data and final state thermal data of each point on the surface of billet before and after entering current process;According to the stress distribution data of billet, initial state thermal data, final state thermal data and the thermal prediction output value corresponding to current process, the thermal value analysis is carried out to each point on the surface of billet, and the abnormal area corresponding to each point on the surface of billet is obtained;According to the abnormal type and abnormal value of abnormal area, the production control of gas cylinder is executed.The method and device provided by the application can effectively ensure the production quality of gas cylinder, reduce production cost and improve production efficiency through the production control of gas cylinder.

Description

Technical Field

[0001] This invention relates to the field of gas cylinder manufacturing technology, and in particular to a method and apparatus for quality control in gas cylinder production. Background Technology

[0002] Gas cylinders are widely used in industry, medical care, scientific research, fire fighting, transportation and other fields. A gas cylinder consists of a cylinder body, cap, valve, and shock-absorbing rubber ring, among which the valve, cap, and shock-absorbing rubber ring are safety accessories that play a crucial role in the safe use of the gas cylinder.

[0003] In the gas cylinder production process, the cylinder body is formed through processes such as billet stamping, followed by cutting, valve installation, and other processes to produce the gas cylinder. However, the inner wall of the billet cannot be monitored at each production stage, and the outer wall of the billet alone cannot accurately determine whether the wall thickness is uniform and meets requirements at each production stage. Furthermore, the production of scrapped gas cylinders increases the manufacturing costs of each processing step. Summary of the Invention

[0004] In view of the shortcomings of the prior art described above, the purpose of this invention is to provide a gas cylinder production quality control method and apparatus to solve the problems in the prior art where, during the production of gas cylinders, the inner wall of the steel billet cannot be monitored at each production stage, and it is impossible to accurately know whether the wall thickness of the steel billet is uniform and meets the requirements at each production stage by only looking at the outer wall of the steel billet. Moreover, the production of scrapped gas cylinders will increase the manufacturing cost of each processing step.

[0005] To achieve the above and other related objectives, the present invention provides a method for quality control in gas cylinder production, comprising: acquiring initial and final thermal data of various points on the surface of a steel billet before and after entering the current process; performing thermal value analysis on various points on the surface of the steel billet based on the stress distribution data, initial thermal data, final thermal data, and the predicted thermal output value corresponding to the current process, and obtaining abnormal areas corresponding to each point on the surface of the steel billet; and performing production control of the gas cylinder based on the abnormality type and abnormal value of the abnormal area.

[0006] In one embodiment of the present invention, the method further includes: when the current process is the initial stamping process, stress analysis is performed on each point of the billet based on the initial state thermodynamic data, the final state thermodynamic data and the billet deformation process image corresponding to the initial stamping process, so as to obtain the stress distribution data of the billet.

[0007] In one embodiment of the present invention, stress analysis is performed on various points of the billet based on the initial thermal data, final thermal data, and billet deformation process images corresponding to the initial stamping process to obtain stress distribution data of the billet. This includes: acquiring billet deformation process images at different times during the initial stamping process; performing shape change process analysis on the billet deformation process images to obtain initial stress distribution data corresponding to various points of the billet; performing thermal value change analysis on the initial and final thermal data to obtain thermal value change data corresponding to various points on the billet surface; and obtaining stress distribution data of the billet based on the initial stress distribution data and thermal value change data.

[0008] In one embodiment of the present invention, shape change process analysis is performed on the images of the billet deformation process to obtain the initial stress distribution data corresponding to each point of the billet, including: analyzing the images of the billet deformation process at different times. Compared with preset stress distribution data Corresponding preset change process image By comparing the moving positions, the positional deviation values ​​of each point on the billet at different times are calculated. ,in, , Indicates the position of each point on the steel billet. Preset coordinate position at time t. Indicates the position of each point on the steel billet. The deformation coordinate position at each moment; based on the positional deviation value of each point on the billet at each moment. The mean positional deviation corresponding to different points was obtained. ,in, Based on the average positional deviation Find the mean deviation from the location closest mean calibration deviation and the mean deviation from the calibration The corresponding first stress adjustment factor ; mean positional deviation and the corresponding average calibration deviation The difference was calculated to obtain the second stress adjustment factor. ,in, , Indicates the first The calibration deviation adjustment value corresponding to each point; based on the first stress adjustment factor. Second stress adjustment factor The initial stress distribution data at various points on the steel billet were obtained. ,in, .

[0009] In one embodiment of the present invention, obtaining stress distribution data of a steel billet based on initial stress distribution data and thermal value change data includes: obtaining stress distribution data of a steel billet based on thermal value change data at various points on the steel billet. Determine the variation range of each point on the billet; based on the variation range, obtain the process adjustment factor for each point on the billet. According to process adjustment factors For initial stress distribution data Adjustments were made to obtain stress distribution data for the steel billet. ,in, .

[0010] In one embodiment of the present invention, based on the stress distribution data, initial thermal data, final thermal data, and the predicted thermal output value corresponding to the current process of the steel billet, thermal value analysis is performed on each point on the surface of the steel billet to obtain the abnormal areas corresponding to each point on the surface of the steel billet, including: based on the stress distribution data of the steel billet... A gas cylinder production model for steel billets was constructed, which includes multiple processes in gas cylinder production, including the current process; initial state thermodynamic data was used to construct the model. The production simulation of the current process is performed in the gas cylinder production model to obtain the predicted thermal output value corresponding to the current process. Based on initial state thermodynamic data and thermal power output forecast To obtain simulated thermodynamic data Based on final-state thermodynamic data With simulated thermodynamic data Thermal analysis was performed on various points on the surface of the steel billet to identify the abnormal areas corresponding to each point.

[0011] In one embodiment of the present invention, based on initial state thermodynamic data and thermal power output forecast To obtain simulated thermodynamic data This includes: receiving equipment from each stage of the current process. Thermal data corresponding to the contact points of the steel billet Based on thermal value data and equipment Corresponding heat loss factor The thermal conductivity value was obtained. ,in, Based on thermal conductivity value Initial state thermal data and thermal power output forecast To obtain simulated thermodynamic data ,in, .

[0012] In one embodiment of the present invention, based on final-state thermodynamic data With simulated thermodynamic data Thermal analysis was performed on various points on the surface of the steel billet to identify abnormal areas at each point, including: extracting final-state thermal data. Final thermodynamic values ​​at various points and simulated thermal data Simulated thermodynamic values ​​at corresponding points The final thermodynamic value Compared with simulated thermodynamic values Perform the difference calculation to obtain the difference result. ,in, Difference results Including the first difference result Second difference result , This indicates the setting of a thermal threshold; when the first difference result is obtained... Then, based on the first thickness conversion factor... The loss thickness corresponding to the anomaly point is obtained. And based on multiple first difference results corresponding to the same region The corresponding outlier locations yield the first outlier region; when the second difference result is obtained... Then, based on the second thickness conversion factor... The excess thickness corresponding to the abnormal points is obtained. And based on multiple second difference results corresponding to the same region The corresponding abnormal points are used to obtain the second abnormal region.

[0013] In one embodiment of the present invention, the abnormal region includes at least one of a first abnormal region and a second abnormal region; the abnormality type of the first abnormal region is thickness loss, and the abnormality value of the first abnormal region is thickness loss. The anomaly type of the second anomaly region is excess thickness, and the anomaly value of the second anomaly region is excess thickness. Based on the anomaly type and value of the abnormal area, production control of the gas cylinders is implemented, including: when the abnormal area is the first abnormal area or the first and second abnormal areas, the processing of the steel billet is stopped; when the abnormal area is only the second abnormal area, the excess thickness is considered... The current process is then repeated on the steel billet.

[0014] To achieve the above and other related objectives, the present invention also provides a gas cylinder production quality control device, comprising: an acquisition unit for acquiring initial and final thermal data of various points on the surface of a steel billet before and after entering the current process; an analysis unit for performing thermal value analysis on various points on the surface of the steel billet based on the stress distribution data, initial thermal data, final thermal data, and the thermal prediction output value corresponding to the current process, and acquiring abnormal areas corresponding to each point on the surface of the steel billet; and an execution unit for executing production control of the gas cylinder based on the abnormal type and abnormal value of the abnormal area.

[0015] As described above, the gas cylinder production quality control method and apparatus of the present invention have the following beneficial effects: By utilizing the initial state thermodynamic data, final state thermodynamic data, and deformation process image of the steel billet during the initial stamping process, the stress distribution data of the steel billet being processed can be calculated. Based on the stress distribution data, a gas cylinder production model for the corresponding steel billet can be constructed to simulate each process. Furthermore, by comparing the simulated thermodynamic data generated from the simulated processing with the final state thermodynamic data from the actual processing, abnormal areas of uneven thickness can be accurately identified. Based on these abnormal areas, the production plan for the steel billet can be adjusted, allowing for the removal of abnormally processed steel billets during the gas cylinder production stage and the control and cancellation of subsequent processing steps for abnormal steel billets. This saves unnecessary production costs. Through the production control of gas cylinders, the production quality of gas cylinders can be effectively guaranteed, production costs reduced, and production efficiency improved. Attached Figure Description

[0016] Figure 1 This is a flowchart illustrating the gas cylinder production quality control method provided in an embodiment of the present invention.

[0017] Figure 2 The diagram shown is a structural block diagram of a gas cylinder production quality control device provided in an embodiment of the present invention.

[0018] Figure 3 The diagram shown is a structural schematic of an electronic device according to an embodiment of the present invention.

[0019] Component labeling: Electronic device 1; Gas cylinder production quality control device 11; Memory 12; Processor 13; Acquisition unit 111; Analysis unit 112; Execution unit 113. Detailed Implementation

[0020] The following specific examples illustrate the implementation of the present invention. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that, unless otherwise specified, the following embodiments and features described therein can be combined with each other.

[0021] It should be noted that the illustrations provided in the following embodiments are only schematic representations of the basic concept of the present invention. Therefore, the drawings only show the components related to the present invention and are not drawn according to the actual number, shape and size of the components in the actual implementation. In the actual implementation, the form, quantity and proportion of each component can be arbitrarily changed, and the layout of the components may also be more complex.

[0022] In the following description, numerous details are explored to provide a more thorough explanation of embodiments of the invention. However, it will be apparent to those skilled in the art that embodiments of the invention may be practiced without these specific details. In other embodiments, well-known structures and devices are shown in block diagram form rather than in detail to avoid obscuring embodiments of the invention.

[0023] This invention provides a quality control method for gas cylinder production. By analyzing and predicting the changes in thermal values ​​at various points on the surface of the steel billet using initial and final thermal data before and after each stage of gas cylinder production, as well as stress distribution data at various points on the billet, the method can identify abnormal areas where the billet temperature rises abnormally. Based on these abnormal areas, the method can control the continued production of the billet. This approach allows for effective monitoring of areas with abnormal billet thickness during the gas cylinder manufacturing process, addressing issues arising from abnormal thickness in each stage of the billet manufacturing process. In the current stage, relying solely on the inspection of the outer wall of the billet makes it difficult to effectively detect uneven thickness conditions such as dents, scratches, and cracks on the inner wall. By analyzing and predicting abnormal areas at various points on the billet surface, precise control of the billet thickness during production can be ensured. Furthermore, if abnormal areas are found at each stage of the process, the decision to continue the subsequent process can be made to remove the predicted abnormal billet from the corresponding process. This allows for the control and cancellation of subsequent processing steps for abnormal billets during gas cylinder production, thereby saving unnecessary production costs.

[0024] Figure 1 A flowchart of a gas cylinder production quality control method according to an exemplary embodiment of this application is shown, applied in a gas cylinder production quality control device, including steps S10-S30. The following will be combined with... Figure 1The technical solution of this application will be described in detail below.

[0025] First, execute step S10 to obtain the initial and final thermal data of each point on the surface of the billet before and after entering the current process.

[0026] Before and after each process step, an infrared thermal imager can be used to scan the surface of the steel billet to obtain initial and final thermal maps of the billet surface before and after entering the current process. Based on these initial and final thermal maps, initial and final thermal data for each point on the billet surface before and after entering the current process can be obtained. This data is then sent to the gas cylinder production quality control device, enabling the device to acquire these data. Alternatively, the initial and final thermal maps can be obtained directly from the gas cylinder production quality control device to further derive the initial and final thermal data for each point on the billet surface before and after entering the current process.

[0027] In addition, the gas cylinder production quality control method of the present invention may further include:

[0028] When the current process is the initial stamping process, stress analysis is performed on each point of the billet based on the initial state thermodynamic data, final state thermodynamic data and billet deformation process image corresponding to the initial stamping process, so as to obtain the stress distribution data of the billet.

[0029] In other words, after the steel billet is cut and sent to the preliminary stamping process—that is, when the billet is pressed into a cup shape—stress analysis can be performed on various points of the billet based on the initial thermodynamic data before the start of the preliminary stamping process, the final thermodynamic data after the process, and images of the billet deformation process. This allows for the determination of the stress distribution data of the billet, which in turn enables thermodynamic value analysis of various points on the billet surface during other billet processing processes. The images of the billet deformation process can be captured by a high-definition camera installed at the preliminary stamping process. After capturing the images, they are uploaded to the gas cylinder production quality control device, enabling the device to acquire images of the billet deformation process.

[0030] Specifically, stress analysis is performed on various points of the billet based on the initial thermodynamic data, final thermodynamic data, and billet deformation process images corresponding to the initial stamping process, in order to obtain stress distribution data of the billet, including:

[0031] Obtain images of the billet deformation process at different times during the initial stamping process;

[0032] By analyzing the shape change process of the billet deformation process image, the initial stress distribution data corresponding to each point of the billet are obtained.

[0033] The thermal value change analysis was performed on the initial state thermal data and the final state thermal data to obtain the thermal value change data corresponding to each point on the surface of the steel billet.

[0034] The stress distribution data of the steel billet is obtained based on the initial stress distribution data and the thermal value change data.

[0035] When performing stress analysis on various points of a steel billet based on initial and final thermodynamic data and images of the billet deformation process during the initial stamping process, images of the billet deformation process at different times during the initial stamping process are acquired from a high-definition camera using a gas cylinder production quality control device. These images are then used to analyze the shape change process of the billet, allowing the determination of initial stress distribution data at various points on the billet. Furthermore, the initial and final thermodynamic data are combined to analyze the stress distribution data of the billet. In the stress distribution analysis based on initial and final thermodynamic data and initial stress distribution data, the thermodynamic value change data is first determined using the initial and final thermodynamic data. Then, the initial stress distribution data is adjusted using the thermodynamic value change data to calculate the stress distribution data of the billet.

[0036] Specifically, the shape change process of the billet deformation process image is analyzed to obtain the initial stress distribution data corresponding to each point of the billet, which may include:

[0037] Images of the billet deformation process at different times Compared with preset stress distribution data Corresponding preset change process image By comparing the moving positions, the positional deviation values ​​of each point on the billet at different times are calculated. ,in, , Indicates the position of each point on the steel billet. Preset coordinate position at time t. Indicates the position of each point on the steel billet. The deformation coordinate position at time t;

[0038] Based on the positional deviation values ​​of each point on the billet at each moment The mean positional deviation corresponding to different points was obtained. ,in, ;

[0039] Based on the average positional deviation Find the mean deviation from the location closest mean calibration deviation and the mean deviation from the calibration The corresponding first stress adjustment factor ;

[0040] Mean of positional deviation and the corresponding average calibration deviation The difference was calculated to obtain the second stress adjustment factor. ,in, , Indicates the first The calibration deviation adjustment value corresponding to each point;

[0041] According to the first stress adjustment factor Second stress adjustment factor The initial stress distribution data at various points on the steel billet were obtained. ,in, .

[0042] In the process of shape change analysis of billet deformation process images, based on the billet deformation process images at different times... and the preset stress distribution data The corresponding preset change process images at different times Images of the billet deformation process. and preset change process images By comparing these values, the positional deviations of each point on the billet at different times can be obtained. Specifically, when the position of the steel billet... exist The deformation coordinate position at time t is At that time, according to that moment The location of the steel billet The preset coordinate position it should be in This allows for the calculation of the positional deviation between the two, expressed by the formula: This allows us to obtain the corresponding positional deviation values ​​at different times. To better represent each location To assess the positional deviation changes, first examine each point among all available points. positional deviation value Calculate the mean to obtain the average positional deviation for all points. That is, the mean deviation for each position. The calculation formula can be expressed as: Then, the mean positional deviation is used. The most recent value is searched in the calibration deviation mean value repository of the gas cylinder production quality control device to find the mean value of the position deviation. closest mean calibration deviation Among these, finding the nearest value can be achieved by averaging the positional deviations. The difference is calculated between the mean and the position deviation in the calibration deviation mean repository. Then, the mean of calibration deviations with the smallest difference among all the mean calibration deviations is taken as the mean of the position deviation. closest mean calibration deviation After obtaining the corresponding average calibration deviation... Similarly, data on the preset stress distribution will also be obtained. The first stress adjustment factor for each item is adjusted. Due to the mean of positional deviation and the corresponding average calibration deviation Although they are close to each other, in order to further improve the initial stress distribution data The calculation accuracy is then based on the average position deviation. and the corresponding average calibration deviation The difference between them is used to further determine the data used for the preset stress distribution. The second stress adjustment factor is adjusted. Furthermore, in calculating the second stress adjustment factor... At that time, it depends on the mean of the positional deviation. Mean of calibration deviation and the The calibration deviation adjustment value corresponding to each point The calculated second stress adjustment factor for each term is... The calculation formula can be expressed as: Based on the obtained first stress adjustment factor Second stress adjustment factor For the preset stress distribution data Adjustments were made to obtain initial stress distribution data. The calculation formula for adjustment is: .

[0043] Next, based on the initial stress distribution data and thermal value change data, the stress distribution data of the steel billet is obtained, which may further include:

[0044] Based on the data of thermal value changes at various points on the steel billet To determine the range of variation for each point on the billet;

[0045] Based on the range of variation, the process adjustment factors for each point on the billet are obtained. ;

[0046] According to process adjustment factors For initial stress distribution data Adjustments were made to obtain stress distribution data for the steel billet. ,in, .

[0047] Initial stress distribution data were calculated using the gas cylinder production quality control device. Next, the calculated thermal value changes at various points on the steel billet are used as a starting point. Determine the location of the steel billet. thermal value change data The corresponding range of variation, where each range corresponds to a process adjustment factor. Then, based on the variation range of each point, the process adjustment factor for all points can be obtained. Then, based on the adjustment factor of this process... To achieve initial stress distribution data Further adjustments were made to obtain stress distribution data for thermodynamic analysis. In addition, regarding the data on the changes in thermal values ​​at various points on the steel billet... During the calculation, the initial thermodynamic values ​​at each point corresponding to the initial thermodynamic data can be used. Final thermodynamic values ​​at each point corresponding to the final thermodynamic data The difference is calculated to obtain the change in thermal value at each point. Then, based on the changes in thermal values ​​at all points Data on changes in thermal values ​​were obtained. .

[0048] Next, step S20 is executed. Based on the stress distribution data, initial thermal data, final thermal data, and the thermal prediction output value corresponding to the current process of the billet, thermal value analysis is performed on each point on the surface of the billet to obtain the abnormal areas corresponding to each point on the surface of the billet.

[0049] The gas cylinder production quality control device acquires the initial and final thermal data of various points on the surface of the steel billet before and after entering the current process, and calculates the stress distribution data of the steel billet. Then, thermal analysis can be performed on various points on the surface of the billet to analyze and predict the abnormal areas corresponding to each point on the billet surface, so as to remove billets that do not meet the requirements from the production line or reprocess them.

[0050] In step S20, based on the stress distribution data, initial thermal data, final thermal data, and the predicted thermal output value corresponding to the current process of the steel billet, thermal value analysis is performed on each point on the surface of the steel billet to obtain the abnormal areas corresponding to each point on the surface of the steel billet, including:

[0051] Based on the stress distribution data of the steel billet A gas cylinder production model for steel billets is constructed, wherein the gas cylinder production model includes multiple processes of gas cylinder production, and the process includes the current process.

[0052] Based on initial state thermal data The production simulation of the current process is performed in the gas cylinder production model to obtain the predicted thermal output value corresponding to the current process. ;

[0053] Based on initial state thermal data and thermal power output forecast To obtain simulated thermodynamic data ;

[0054] Based on final-state thermodynamic data With simulated thermodynamic data Thermal analysis was performed on various points on the surface of the steel billet to identify the abnormal areas corresponding to each point.

[0055] During the process of analyzing the thermal values ​​of various points on the surface of steel billets using the gas cylinder production quality control device, we can first base our analysis on the stress distribution data of each steel billet. This is used to construct a billet model within a gas cylinder production model, simulating the production of gas cylinders from billets. The gas cylinder production model includes various simulated production processes generated from the billet model, including the aforementioned current process. Furthermore, during the analysis of the billet processing thermodynamic values ​​before and after the current process, initial-state thermodynamic data under actual process conditions are collected using an infrared thermal imager. Subsequently, by simulating the production of a virtual process corresponding to the current process in the gas cylinder production model, it is possible to base the analysis on the stress distribution data of the steel billet. The simulation calculation yields the predicted thermal output value corresponding to the current process. Then, combined with the initial state thermodynamic data This allows us to further obtain the simulated thermodynamic data corresponding to the simulated processing procedure. After the actual processing of the current step is completed, the final thermal data is collected by an infrared thermal imager. To use simulated thermal data By conducting comparative analysis of thermal values, abnormal areas corresponding to various points on the surface of the steel billet can be predicted more accurately.

[0056] Among them, based on initial state thermal data and thermal power output forecast To obtain simulated thermodynamic data It may further include:

[0057] Receive equipment for the current process Thermal data corresponding to the contact points of the steel billet ;

[0058] Based on thermal value data and equipment Corresponding heat loss factor The thermal conductivity value was obtained. ,in, ;

[0059] Based on thermal conductivity value Initial state thermal data and thermal power output forecast To obtain simulated thermodynamic data ,in, .

[0060] Simulated thermal data was analyzed using a gas cylinder production quality control device. When performing calculations, first consider the equipment used in the current process. Thermal data corresponding to the contact points of the steel billet And thermal data during the processing of steel billets. Heat loss factor during steel billet conduction The actual thermal conductivity received by the steel billet can be obtained. That is, the formula is expressed as Then, the thermal conductivity value... Initial state thermal data and thermal power output forecast By performing superposition calculations, more accurate simulated thermodynamic data can be obtained. The formula is expressed as This allows for the use of simulated thermodynamic data. With final state thermodynamic data Accurate thermal value comparison analysis is performed between them to ensure the accuracy of anomaly area prediction.

[0061] Next, based on the final thermodynamic data With simulated thermodynamic data Thermal analysis is performed on various points on the surface of the steel billet to identify abnormal areas at each point. This may further include:

[0062] Extracting final-state thermodynamic data Final thermodynamic values ​​at various points and simulated thermal data Simulated thermodynamic values ​​at corresponding points ;

[0063] Final thermal value Compared with simulated thermodynamic values Perform the difference calculation to obtain the difference result. ,in, Difference results Including the first difference result Second difference result , This indicates the setting of a thermal threshold.

[0064] When the first difference result is obtained Then, based on the first thickness conversion factor... The loss thickness corresponding to the anomaly point is obtained. And based on multiple first difference results corresponding to the same region The corresponding anomaly points are used to identify the first anomaly region.

[0065] When the second difference result is obtained Then, based on the second thickness conversion factor... The excess thickness corresponding to the abnormal points is obtained. And based on multiple second difference results corresponding to the same region The corresponding abnormal points are used to obtain the second abnormal region.

[0066] When performing thermodynamic value analysis on various points on the surface of the steel billet using the gas cylinder production quality control device, final-state thermodynamic data are extracted respectively. Final thermodynamic values ​​at various points and simulated thermal data Simulated thermodynamic values ​​at corresponding points Then based on the final thermodynamic value Compared with simulated thermodynamic values The difference calculation yields the first difference result. Second difference result Among them, the first difference result Second difference result All are above the set thermal threshold. Effective at that time. The final thermodynamic value is obtained. Greater than the simulated thermodynamic value First difference result If the value is high, it indicates that the heat value during the current billet processing is relatively large, indicating the occurrence of the first difference result. There is a thickness loss at the location of the steel billet, therefore, it can be determined based on the first thickness conversion factor. The first difference result The loss thickness was calculated. Furthermore, the corresponding first anomalous region can be derived based on the set of anomalous points composed of all closely spaced anomalous points.

[0067] Similarly, in obtaining the final thermodynamic value Less than the simulated thermodynamic value Second difference result If the value is low, it indicates that the thermal value during the current billet processing is relatively small, thus leading to the second difference result. The location of the steel billet has excess thickness, therefore, it can be determined based on the second thickness conversion factor. Second difference result The excess thickness was calculated. Furthermore, the corresponding second anomalous region can be derived based on the set of anomalous points composed of all closely adjacent anomalous points.

[0068] Next, step S30 is executed, which involves performing production control on the gas cylinders based on the anomaly type and anomaly value of the abnormal area.

[0069] After identifying abnormal areas through analysis, the gas cylinder production quality control device can further control the continued processing of the current steel billet for gas cylinder production based on the abnormality type and value corresponding to the abnormal area. This prevents unnecessary production costs from being incurred when continuing processing due to the current steel billet's abnormality.

[0070] The abnormal region includes at least one of a first abnormal region and a second abnormal region; the abnormality type of the first abnormal region is thickness loss, and the abnormal value of the first abnormal region is thickness loss. Thickness loss can be caused by abnormal scratches, dents, or cracks appearing on the outer or inner wall of the processed steel billet. The abnormality type in the second abnormal region is excess thickness, and the abnormal value in the second abnormal region is excess thickness. Excessive thickness can be caused by abnormal bulging on the outer or inner wall of the processed steel billet.

[0071] In step S30, production control of the gas cylinders is performed based on the anomaly type and anomaly value of the abnormal area, including:

[0072] When the abnormal area is the first abnormal area or the first abnormal area and the second abnormal area, the processing of the steel billet is stopped.

[0073] When the abnormal region is only the second abnormal region, then based on the excess thickness The current process is then repeated on the steel billet.

[0074] When the gas cylinder production quality control device identifies an abnormal area as either the first abnormal area or both the first and second abnormal areas, it indicates that the steel billet has been damaged by the current process. Therefore, production of that billet must be stopped to avoid it re-entering the next production process and incurring unnecessary production costs. If the abnormal area is only the second abnormal area, it means that some areas of the steel billet are excessively thick, and it can be reprocessed through the current process to resolve this issue. This method of gas cylinder production quality control effectively ensures the production quality of gas cylinders, reduces production costs, and improves production efficiency.

[0075] In addition, when the current process enters the quenching stage, the billet can be directly heated based on the surface thermodynamic value of the billet before quenching to obtain the surface thermodynamic value change curve of the billet at the corresponding heating temperature. Then, based on the corresponding billet temperature change curve, a calibration curve that reaches a specified similarity with the billet temperature change curve can be found. Based on the calibration curve, the thickness of the billet after a series of stamping processes can be further determined. Thus, the thickness of the billet after each stamping process can be re-verified based on this heating process.

[0076] Please see Figure 2 The present invention also provides a gas cylinder production quality control device 11, comprising: an acquisition unit 111, used to acquire initial and final thermal data of each point on the surface of the steel billet before and after entering the current process; an analysis unit 112, used to perform thermal value analysis on each point on the surface of the steel billet based on the stress distribution data, initial thermal data, final thermal data and the thermal prediction output value corresponding to the current process, and to acquire the abnormal areas corresponding to each point on the surface of the steel billet; and an execution unit 113, used to execute production control of the gas cylinder based on the abnormal type and abnormal value of the abnormal area.

[0077] It should be noted that the gas cylinder production quality control device 11 provided in the above embodiments and the gas cylinder production quality control method provided in the above embodiments belong to the same concept. The specific operation methods of each module and unit have been described in detail in the method embodiments and will not be repeated here. In practical applications, the gas cylinder production quality control device 11 provided in the above embodiments can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. This is not a limitation here.

[0078] Please see Figure 3 The electronic device 1 may include a memory 12, a processor 13 and a bus, and may also include a computer program stored in the memory 12 and executable on the processor 13, such as a gas cylinder production quality control program.

[0079] The memory 12 includes at least one type of readable storage medium, such as flash memory, portable hard drive, multimedia card, card-type memory (e.g., SD or DX memory), magnetic memory, magnetic disk, optical disk, etc. In some embodiments, the memory 12 can be an internal storage unit of the electronic device 1, such as a portable hard drive. In other embodiments, the memory 12 can be an external storage device of the electronic device 1, such as a plug-in portable hard drive, smart media card (SMC), secure digital (SD) card, flash card, etc., equipped on the electronic device 1. Furthermore, the memory 12 can include both internal and external storage units of the electronic device 1. The memory 12 can be used not only to store application software and various types of data installed on the electronic device 1, such as code for gas cylinder production quality control, but also to temporarily store data that has been output or will be output.

[0080] In some embodiments, the processor 13 may be composed of integrated circuits, such as a single packaged integrated circuit or multiple integrated circuits with the same or different functions, including combinations of one or more central processing units (CPUs), microprocessors, digital processing chips, graphics processors, and various control chips. The processor 13 is the control unit of the electronic device 1, connecting various components of the electronic device 1 through various interfaces and lines. It executes programs or modules (such as gas cylinder production quality control programs) stored in the memory 12, and calls data stored in the memory 12 to perform various functions and process data of the electronic device 1.

[0081] The processor 13 executes the operating system of the electronic device 1 and various installed applications. The processor 13 executes the applications to implement the steps in the gas cylinder production quality control method described above.

[0082] For example, the computer program may be divided into one or more modules, which are stored in the memory 12 and executed by the processor 13 to complete this application. The one or more modules may be a series of computer program instruction segments capable of performing specific functions, which describe the execution process of the computer program in the electronic device 1. For example, the computer program may be divided into units within a gas cylinder production quality control device.

[0083] The integrated unit implemented as a software functional module described above can be stored in a computer-readable storage medium, which can be non-volatile or volatile. The software functional module stored in the storage medium includes several instructions to cause a computer device (which may be a personal computer, computer equipment, or network device, etc.) or processor to execute some functions of the gas cylinder production quality control method described in the various embodiments of this application.

[0084] In summary, the gas cylinder production quality control method and apparatus disclosed in this invention utilizes the initial and final thermodynamic data of the steel billet during the initial stamping process, as well as images of the billet deformation process, to calculate the stress distribution data of the currently processed steel billet. Based on this stress distribution data, a gas cylinder production model for the corresponding steel billet can be constructed to simulate each process. Furthermore, by comparing the simulated thermodynamic data generated from the simulated processing with the final thermodynamic data from actual processing, abnormal areas of uneven thickness can be accurately identified. Based on these abnormal areas, the production plan for the steel billet can be adjusted, allowing for the removal of abnormally processed steel billets during the gas cylinder production stage and the cancellation of subsequent processing steps for these abnormal billets. This saves unnecessary production costs. Through production control, the quality of gas cylinder production can be effectively guaranteed, production costs reduced, and production efficiency improved. Therefore, this invention effectively overcomes the various shortcomings of existing technologies and has high industrial application value.

[0085] The above embodiments are merely illustrative of the principles and effects of the present invention and are not intended to limit the invention. Any person skilled in the art can modify or alter the above embodiments without departing from the spirit and scope of the present invention. Therefore, all equivalent modifications or alterations made by those skilled in the art without departing from the spirit and technical concept disclosed in the present invention should still be covered by the claims of the present invention.

Claims

1. A method for quality control in gas cylinder production, characterized in that, include: Acquire the initial and final thermal data of each point on the surface of the steel billet before and after entering the current process; Based on the stress distribution data of the steel billet, the initial thermal data, the final thermal data, and the thermal prediction output value corresponding to the current process, thermal value analysis is performed on each point on the surface of the steel billet to obtain the abnormal areas corresponding to each point on the surface of the steel billet. Based on the anomaly type and anomaly value of the anomaly region, production control of the gas cylinder is executed; Based on the stress distribution data of the steel billet, the initial thermal data, the final thermal data, and the predicted thermal output value corresponding to the current process, thermal value analysis is performed on each point on the surface of the steel billet to obtain the abnormal areas corresponding to each point on the surface of the steel billet, including: Based on the stress distribution data of the steel billet A gas cylinder production model for the steel billet is constructed, wherein the gas cylinder production model includes multiple processes for gas cylinder production, and the process includes the current process; Based on the initial state thermodynamic data The production simulation of the current process is performed in the gas cylinder production model to obtain the predicted thermal output value corresponding to the current process. ; Based on the initial state thermodynamic data and the predicted thermal output value To obtain simulated thermodynamic data ; Based on the final state thermodynamic data With the simulated thermodynamic data Thermal analysis is performed on each point on the surface of the steel billet to obtain the abnormal areas corresponding to each point on the surface of the steel billet. Based on the initial state thermodynamic data and the predicted thermal output value To obtain simulated thermodynamic data ,include: Receive the equipment of the current process Thermal data corresponding to the contact position of the steel billet ; According to the thermal value data and equipment Corresponding heat loss factor The thermal conductivity value was obtained. ,in, ; According to the thermal conductivity value The initial state thermodynamic data and the predicted thermal output value To obtain simulated thermodynamic data ,in, ; Based on the final state thermodynamic data With the simulated thermodynamic data Thermal analysis is performed on various points on the surface of the steel billet to obtain the abnormal areas corresponding to each point on the surface of the steel billet, including: Extract the final state thermodynamic data Final thermodynamic values ​​at various points and the simulated thermodynamic data Simulated thermodynamic values ​​at corresponding points ; The final thermodynamic value With the simulated thermodynamic value Perform the difference calculation to obtain the difference result. ,in, Difference results Including the first difference result Second difference result , This indicates the setting of a thermal threshold. When the first difference result is obtained Then, based on the first thickness conversion factor... The loss thickness corresponding to the anomaly point is obtained. And based on multiple first difference results corresponding to the same region The corresponding anomaly points are used to identify the first anomaly region. When the second difference result is obtained Then, based on the second thickness conversion factor... The excess thickness corresponding to the abnormal points is obtained. And based on multiple second difference results corresponding to the same region The corresponding anomaly points are used to identify the second anomaly region. The abnormal region includes at least one of a first abnormal region and a second abnormal region; the abnormality type of the first abnormal region is thickness loss, and the abnormality value of the first abnormal region is thickness loss. The anomaly type of the second abnormal region is excessive thickness, and the anomaly value of the first abnormal region is excessive thickness. ; Based on the anomaly type and anomaly value of the anomaly region, production control of the gas cylinder is performed, including: When the abnormal region is the first abnormal region or both the first abnormal region and the second abnormal region, the processing of the steel billet is stopped. When the abnormal region is only the second abnormal region, then according to the excess thickness The current process is then performed again on the steel billet.

2. The gas cylinder production quality control method according to claim 1, characterized in that: Also includes: When the current process is the initial stamping process, stress analysis is performed on each point of the billet based on the initial thermodynamic data, the final thermodynamic data, and the billet deformation process image corresponding to the initial stamping process, so as to obtain the stress distribution data of the billet.

3. The gas cylinder production quality control method according to claim 2, characterized in that: Based on the initial thermodynamic data, the final thermodynamic data, and the billet deformation process image corresponding to the initial stamping process, stress analysis is performed at various points on the billet to obtain the stress distribution data of the billet, including: Obtain images of the billet deformation process at different times during the initial stamping process; The shape change process of the steel billet deformation process image is analyzed to obtain the initial stress distribution data corresponding to each point of the steel billet. The thermal value change analysis is performed on the initial state thermal data and the final state thermal data to obtain the thermal value change data corresponding to each point on the surface of the steel billet. The stress distribution data of the steel billet is obtained based on the initial stress distribution data and the thermal value change data.

4. The gas cylinder production quality control method according to claim 3, characterized in that: The shape change process of the steel billet deformation process image is analyzed to obtain the initial stress distribution data corresponding to each point of the steel billet, including: Images of the billet deformation process at different times Compared with preset stress distribution data Corresponding preset change process image By comparing the moving positions, the positional deviation values ​​of each point on the steel billet at different times are calculated. ,in, , Indicates the position of each point on the steel billet. Preset coordinate position at time t. Indicates the position of each point on the steel billet. The deformation coordinate position at time t; Based on the positional deviation values ​​corresponding to each point on the billet at each moment The mean positional deviation corresponding to different points was obtained. ,in, ; According to the average position deviation Find the average deviation from the stated position. closest mean calibration deviation and the average deviation from the calibration The corresponding first stress adjustment factor ; The average position deviation and the corresponding average calibration deviation The difference was calculated to obtain the second stress adjustment factor. ,in, , Indicates the first The calibration deviation adjustment value corresponding to each point; According to the first stress adjustment factor Second stress adjustment factor The initial stress distribution data corresponding to each point of the steel billet were obtained. ,in, .

5. The gas cylinder production quality control method according to claim 3, characterized in that: Based on the initial stress distribution data and the thermal value change data, the stress distribution data of the steel billet is obtained, including: Based on the thermal value change data at various points on the steel billet Determine the range of variation for each point on the steel billet; Based on the range of variation, the process adjustment factor for each point on the billet is obtained. ; According to the process adjustment factor For initial stress distribution data Adjustments are made to obtain the stress distribution data of the steel billet. ,in, .

6. A control device applied to the gas cylinder production quality control method according to any one of claims 1-5, characterized in that, include: The acquisition unit is used to acquire the initial and final thermal data of each point on the surface of the steel billet before and after entering the current process. The analysis unit is used to perform thermal value analysis on each point on the surface of the steel billet based on the stress distribution data of the steel billet, the initial state thermal data, the final state thermal data, and the thermal prediction output value corresponding to the current process, and to obtain the abnormal areas corresponding to each point on the surface of the steel billet. as well as The execution unit is used to perform production control of the gas cylinder according to the abnormality type and abnormality value of the abnormal area.

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