Automobile die control management method and system for stamping machining

Abstract

The invention discloses an automobile die control management method and system for stamping machining, and belongs to the technical field of stamping machining. The system comprises a data acquisition module, an anomaly analysis module, a stamping management module and a visualization module. The data acquisition module is used for acquiring historical logs, a standard comparison table and operating parameters of different stamping modules under an automobile die; the anomaly analysis module calculates the upper limit temperature of each stamping module by analyzing a historical log and a standard comparison table, and calculates the duration required for reaching the upper limit temperature according to the current operation parameter of each stamping module so as to define an abnormal object; the stamping management module adopts an artificial intelligence algorithm to analyze the relationship among the operation parameters under the abnormal object, judges whether the abnormality can be removed by adjusting the operation parameters or not and feeds back the abnormal object to the data center; the visualization module displays the running state of the automobile die in real time through a visualization screen, updates and adjusts abnormal objects in time, records machining information of all the stamping die sets and then stores the machining information into a historical log.

Description

Technical Field

[0001] The invention relates to the technical field of stamping processing, and in particular to an automobile mold control management method and system for stamping processing. Background Art

[0002] The global automotive market is facing fierce competition, and major automakers require higher quality standards and shorter production cycles. With the advancement of digital transformation in the manufacturing industry, companies have accumulated a large amount of production and quality data. How to effectively tap the potential value of this data to guide the improvement of automotive mold processing quality has become a key point of research.

[0003] At present, for the processing quality inspection of automobile molds, the detection system is usually used to collect data for threshold judgment to distinguish whether the product is qualified. This method has certain disadvantages. On the one hand, the existing technology is to detect after the product is processed, but at this time, the unqualified products have been processed and losses have occurred. It is impossible to effectively use production data to predict the product qualification rate and intervene in advance to avoid losses to the greatest extent. On the other hand, during the stamping process of automobile molds, heat is generated due to the extrusion friction between metals, resulting in abnormal temperature rise, which affects the mechanical properties of the processed parts and causes a decrease in the product yield. The existing technology only performs rough heat dissipation or overall cooling, ignoring the different temperature sensitivity of different stamping parts due to thermal conductivity or processing methods, which results in insufficient management and even the opposite effect. Therefore, a more intelligent automobile mold stamping management technology solution is needed at this stage to solve the above problems. Summary of the invention

[0004] The purpose of the present invention is to provide a method and system for controlling and managing automobile molds used in stamping processing, so as to solve the problems raised in the above-mentioned background technology.

[0005] In order to solve the above technical problems, the present invention provides an automobile mold control management method for stamping processing, comprising the following steps:

[0006] S100, collecting historical logs and standard comparison tables of stamping parts processed by automobile molds in the production area, and collecting operating parameters of different stamping die sets under the automobile molds in real time through sensors.

[0007] S200, calculating the upper limit temperature of each stamping die set by analyzing the historical log and the standard comparison table, and calculating the time required to reach the upper limit temperature according to the current operating parameters of each stamping die set to define abnormal objects.

[0008] S300: Use artificial intelligence algorithms to analyze the relationship between the operating parameters of the abnormal object, determine whether the abnormality can be resolved by adjusting the operating parameters, adjust the operating parameters, or feed back the abnormal object to the data center.

[0009] S400, the operation status of the automobile mold is displayed in real time through the visual screen, abnormal objects are updated and automatically adjusted according to the operation parameters, and the processing information of each stamping die group is recorded and stored in the history log.

[0010] In S100, automobile molds refer to molds used to produce automobile metal stamping parts. Stamping parts refer to metal parts produced by stamping processes. Stamping die sets refer to mechanical die sets that act on different positions of stamping parts in automobile molds, and each stamping die set has an independent pressure control device.

[0011] The historical log includes the performance records of each stamping die set each time the automotive mold processes a stamping part. Each performance record includes a code, stamping time period, and performance parameters. The code is used to distinguish different stamping dies, and the performance parameters refer to the indicator information of the stamping die after processing the stamping part. The standard comparison table includes the performance parameter range and pressure control range of each stamping die set. The operating parameters include the pressure and temperature of each stamping die set at different times. The pressure refers to the pressure value applied by the stamping die set to the contact position with the stamping part, and the temperature refers to the temperature value at the contact position between the stamping die set and the stamping part.

[0012] The stamping time period refers to the time from the start to the end of the stamping die set acting on the stamping part. During this time period, the stamping die set and the stamping part physically interact and deform. The performance parameters are obtained by the detection system through detection and analysis of the stamping parts after processing. Specifically, they are one of the length, width, height and angle. The performance parameters can be quantified, and the best value is the middle value of the performance parameter interval. When the performance parameter is in the performance parameter interval, it means that the part of the stamping part is qualified.

[0013] Automobile molds rely on several stamping dies to process stamping parts in many aspects and at many angles. Each stamping die is equipped with an independent pressure control device that can automatically adjust the pressure applied to the stamping parts during processing. Due to the differences in the processing tasks and performance parameter requirements of different parts of the stamping parts, different stamping dies have different pressure control ranges.

[0014] In S200, the specific steps are as follows:

[0015] S201, obtain the codes and performance parameters pp of all performance records in the historical log, search the performance parameter interval corresponding to each code in the standard comparison table, and obtain the middle value ps of each performance parameter interval mid Substitute the length ps into the formula to calculate the first coefficient of each performance record, and mark all performance records in the historical log whose first coefficient is not greater than 1. The calculation formula for the first coefficient is as follows:

[0016]

[0017] Where J is the first coefficient.

[0018] The first coefficient indicates whether the performance record is qualified. When the first coefficient is greater than 1, it means that the stamping processing result corresponding to the performance record is unqualified. Unqualified performance records are screened out to improve the accuracy of subsequent data processing.

[0019] S202, obtain the code DB and stamping time period ts of all marking performance records, retrieve the temperature value of the code DB in the stamping time period ts in the operating parameters and calculate the average temperature TP. First, classify all marking performance records according to whether the codes are the same, and then group each type of marking performance record again according to whether the average temperature is the same, obtain the first coefficient of each marking performance record in group G under category H, set the constant α and substitute it into the formula to calculate the second coefficient SX of group G:

[0020]

[0021] In the formula, BZ G The standard deviation of the first coefficient for all marker performance records in group G, BZ H Record the standard deviation of the first coefficient for all marked properties under category H, L H is the number of all performance records marked under category H, L G is the number of all marked performance records in group G, Record the average value of the first coefficient for all marker performances in group G, The average value of the first coefficient is recorded for all marking performances under category H.

[0022] The first coefficient indicates the degree of fluctuation of the performance parameters of the stamping die under different temperature conditions. The smaller the standard deviation and average value of the first coefficient at a certain temperature, the more reliable the stamping die processing process at that temperature.

[0023] S203, set the coefficient threshold Y, calculate the second coefficient of each group under each category, and mark the group whose second coefficient is less than the threshold Y in each category. Get the code DB corresponding to category U U , analyze the average temperature of all marker groups under class U, and find the highest temperature as the encoding DB U Corresponding to the upper limit temperature TP of the stamping die max , and so on, the upper limit temperature of each stamping die set is obtained through analysis.

[0024] When a stamping die is used to process a stamped part under normal temperature, the temperature of the stamping die will gradually rise due to the physical friction between the metals, and the temperature rise will easily lead to uncontrollable processing results. Due to the different thermal conductivity, applied pressure and processing methods of each stamping die, the degree to which the controllability of the processing results is affected by temperature changes is also different, so each stamping die has a different upper limit temperature.

[0025] S204, obtain current time T now The temperature value TP of each stamping die group now , set the backtracking time fb And establish a stamping set for each stamping die set, first set the current time T now Subtract the backtracking time fb Get the backtracking time T hsj , and then the stamping time period is in the retrospective time T hsj With the current time T now The marking performance records between the two are put into the stamping set of the corresponding stamping die set. The average temperature of each marking performance record in the stamping set is analyzed and the lowest temperature is used as the initial temperature TP of the corresponding stamping die set. initial .

[0026] S205, first set the temperature value TP of each stamping die set now Subtract the initial temperature TP initial Then divide by the backtracking time fb Get the temperature change rate WS now , and then set the upper limit temperature TP of each stamping die set max Subtract the temperature value TP now Then divide by the temperature change rate WS now Get the change duration. Set the adjustment duration C, and treat the stamping die whose change duration is less than the adjustment duration C as an abnormal object.

[0027] In S300, the specific steps are as follows:

[0028] S301. Obtain all the marking performance records under the abnormal object, analyze the code and stamping time period of each marking performance record, retrieve the corresponding pressure value in the operation parameters, and sort these marking performance records in order from early to late according to the stamping time period. According to the arrangement order of the marking performance records, divide more than one adjacent marking performance records with the same pressure value into a combination area, calculate the temperature extreme difference and time extreme difference of all marking performance records in each combination area, and divide the temperature extreme difference by the time extreme difference to obtain the temperature change rate of the corresponding combination area.

[0029] Due to differences in thermal conductivity, applied pressure and processing methods, the temperature change rate of each stamping die will also be different.

[0030] S302. Establish a training set for the abnormal object and count the number of combination areas R, obtain the pressure value PV and temperature change rate WS of each combination area, take PV as the independent variable and WS as the dependent variable and pack them into samples, and put these R samples into the training set. Establish a linear regression model, input the training set into the linear regression model for training, and obtain the temperature relationship expression.

[0031] Get the temperature change rate WS of the abnormal object now , evenly set Z sampling points in the corresponding pressure control interval in the standard comparison table, and bring the pressure value of each sampling point into the temperature relationship expression to calculate the temperature change rate, and mark the temperature change rate less than WS now After all sampling points are calculated, the minimum and maximum pressure values ​​of all marked sampling points are obtained and the pressure adjustment interval PA is established. one .

[0032] The specific training content of the expression includes: taking the independent variable of each sample in the training set as the input value of the linear regression model, and taking the difference between the output result of each sample and the dependent variable as the gap coefficient. Setting the error threshold, adjusting the intercept d and the regression coefficient n so that the gap coefficient of all samples in the training set is less than the error threshold, and obtaining the expression after training:

[0033] M = d + nK;

[0034] In the formula, M is the dependent variable and K is the independent variable.

[0035] S303: Obtain the current temperature value TP of the abnormal object dq And pressure value PV dq , first filter out all the temperature values ​​of the abnormal objects as TP dq The marked performance records are taken as isothermal records, and then these isothermal records are classified according to whether the pressure values ​​are the same.

[0036] Calculate the standard deviation of the first coefficient of all isothermal records under each category and obtain the pressure value PV dq Standard deviation of class BZ dq , marking standard deviation less than BZ dq Get the minimum and maximum pressure values ​​of all marked classes and establish the pressure adjustment interval PA two .

[0037] Determine PA one With PA two Check whether there is an intersection. If not, the abnormal object will be fed back to the data center. If it does, the pressure value PV of the middle point of the intersection interval will be obtained. zj , and adjust the pressure value of the abnormal object to PV zj .

[0038] In S400, the data center displays the operating parameters of each stamping module under the automobile mold in real time through a visual screen, updates abnormal objects in a timely manner and automatically adjusts them according to the operating parameters, records the stamping time period of each stamping module and the performance parameters of the corresponding processing position of the stamping parts, generates performance records and stores them in the historical log.

[0039] The automobile mold control and management system used for stamping processing includes a data acquisition module, an abnormality analysis module, a stamping management module and a visualization module.

[0040] The data acquisition module is used to collect historical logs and standard comparison tables, as well as the operating parameters of different stamping dies under the automobile mold.

[0041] The abnormal analysis module calculates the upper limit temperature of each stamping die by analyzing the historical logs and the standard comparison table, and calculates the time required to reach the upper limit temperature according to the current operating parameters of each stamping die to define the abnormal object.

[0042] The stamping management module uses artificial intelligence algorithms to analyze the relationship between operating parameters under abnormal objects, determine whether the abnormality can be resolved by adjusting the operating parameters, and feed back the abnormal objects to the data center.

[0043] The visualization module displays the operating status of the automobile mold in real time through the visualization screen, generates performance records and stores them in the historical log.

[0044] During the processing, each stamping die set applies different processing methods to different key positions of the stamping parts to realize the processing of the entire stamping parts by the automobile mold.

[0045] For example, key positions: Cutting points, where the cutting starts on the metal sheet, are usually located at the edge or a specific area. Forming points, where the sheet is stretched, bent or punched, are the key parts that are subjected to large deformation stress. Hole points, where holes of various shapes are punched out on the sheet, the accuracy and position of the holes are critical to the quality of the parts. Punching points, where the metal sheet is sheared and separated, require the tool to maintain good sharpness. Transition points, the transition areas between different forming processes, require special design to ensure a smooth transition.

[0046] The precise design and optimization of these key positions are critical to ensuring the dimensional accuracy, surface quality and structural integrity of stamping parts. These key positions need to be reasonably planned according to the part structure and process requirements.

[0047] For example, processing methods include: Shearing, using a punch press to cut metal sheets to produce blanks of various shapes. Punching, punching holes of various sizes and shapes on metal sheets. Stretching, stretching metal sheets into parts with certain shapes, such as cup-shaped parts, cover-shaped parts, etc. Bending, bending metal sheets into the required shapes, such as angle steel, U-shaped parts, etc. Stamping, stamping metal sheets into complex three-dimensional parts, such as shells, brackets, etc.

[0048] Stamping parts are widely used in the automotive industry for their cost advantages, high production efficiency, and ability to achieve complex shapes. Reasonable design of automotive molds is the key to ensuring the quality and production efficiency of stamping parts.

[0049] The data collection module includes an operation parameter collection unit, a history log collection unit and a table information collection unit.

[0050] The operating parameter collection unit is used to collect the pressure and temperature of each stamping die at different times. The pressure refers to the pressure value applied by the stamping die to the contact position with the stamping part, and the temperature refers to the temperature value of the contact position between the stamping die and the stamping part.

[0051] The historical log collection unit is used to collect the performance records of each stamping die set each time the automobile mold processes stamping parts. Each performance record includes a code, stamping time period and performance parameters. The code is used to distinguish different stamping dies, and the performance parameters refer to the indicator information of the stamping die after processing the stamping parts.

[0052] The table information collection unit is used to collect standard comparison tables, specifically including the performance parameter range and pressure control range of each stamping die set qualification.

[0053] The abnormality analysis module includes a temperature analysis unit and an abnormality marking unit.

[0054] The temperature analysis unit is used to calculate the upper limit temperature of each stamping die set.

[0055] First, the performance parameter interval corresponding to the code of each performance record is retrieved in the standard comparison table to obtain the performance parameter pp of each performance record and the middle value ps of the corresponding performance parameter interval. mid and length ps, according to the formula Computing First

[0056] Coefficient, marking all performance records in the history log whose first coefficient is not greater than 1.

[0057] Secondly, obtain the code DB and stamping time period ts of all marking performance records, retrieve the temperature value of DB in the ts time period in the operating parameters and calculate the average temperature TP. First, classify all marking performance records according to whether the code is the same, and then group each type of marking performance record again according to whether the average temperature is the same, obtain the first coefficient of each marking performance record in group G under category H, and calculate the second coefficient of group G.

[0058] Finally, set the coefficient threshold Y, calculate the second coefficient of each group under each category, and mark the group whose second coefficient is less than Y in each category. Get the encoding DB corresponding to category U U , analyze the average temperature of all the marking groups under the U category, and find the highest temperature as DB U Corresponding to the upper limit temperature TP of the stamping die max , and so on, the upper limit temperature of each stamping die set is obtained through analysis.

[0059] The exception tag unit is used to define exception objects.

[0060] First get the current time T now The temperature value TP of each stamping die group now , set the backtracking time fb And establish a stamping set for each stamping die set, first set the current time T now Subtract the backtracking time fb Get the backtracking time T hsj , and then the stamping time period is in the retrospective time T hsj With the current time T now The marking performance records between the two are put into the stamping set of the corresponding stamping die set. The average temperature of each marking performance record in the stamping set is analyzed and the lowest temperature is used as the initial temperature TP of the corresponding stamping die set. initial .

[0061] Then the TP of each stamping die now Subtract TP initial Then divide by time fb Get the temperature change rate WS now , TP of each stamping die max Subtract TP now Then divide by WS now Get the change duration. Set the adjustment duration C, and treat the stamping die with a change duration less than C as an abnormal object.

[0062] The stamping management module includes a relationship analysis unit and an abnormality adjustment unit.

[0063] The relationship analysis unit is used to analyze the relationship between the pressure and temperature change speed of the abnormal object.

[0064] First, the code and stamping time period of each marking performance record under the abnormal object are analyzed, the corresponding pressure value is retrieved in the operating parameters, and these marking performance records are sorted in order from early to late according to the stamping time period.

[0065] Secondly, according to the arrangement order of the marked performance records, one or more adjacent marked performance records with the same pressure value are divided into a combination area, and the temperature extremes and time extremes of all marked performance records in each combination area are calculated respectively. The temperature change rate of the corresponding combination area is obtained by dividing the temperature extreme by the time extreme.

[0066] Finally, a training set is established for the abnormal object and the number of combination areas R is counted. The pressure value PV and temperature change rate WS of each combination area are used as independent variables and dependent variables respectively and packaged as samples. These R samples are put into the training set. A linear regression model is established, and the training set is input into the linear regression model for training to obtain the temperature relationship expression.

[0067] The abnormality adjustment unit is used to determine whether the abnormality can be resolved by adjusting the operating parameters.

[0068] First, obtain the temperature change rate WS of the abnormal object now , evenly set Z sampling points in the corresponding pressure control interval in the standard comparison table, and bring the pressure value of each sampling point into the temperature relationship expression to calculate the temperature change rate, and mark the temperature change rate less than WS now After all sampling points are calculated, the minimum and maximum pressure values ​​of all marked sampling points are obtained and the pressure adjustment interval PA is established. one .

[0069] Secondly, get the current temperature value TP of the abnormal object dq And pressure value PV dq , set all temperature values ​​under abnormal objects to TP dq The performance records of the mark are used as isothermal records, and these isothermal records are classified according to whether the pressure values ​​are the same. The standard deviation of the first coefficient of all isothermal records in each category is calculated respectively, and the pressure value is obtained as PV dq Standard deviation of class BZ dq , marking standard deviation less than BZ dq Get the minimum and maximum pressure values ​​of all marked classes and establish the pressure adjustment interval PA two .

[0070] Finally, judge the PA one With PA two Check whether there is an intersection. If not, the abnormal object will be fed back to the data center. If it does, the pressure value PV of the middle point of the intersection interval will be obtained. zj , and adjust the pressure value of the abnormal object to PV zj.

[0071] The visualization module displays the operating parameters of each stamping module under the automobile mold in real time, updates and adjusts abnormal objects in time, records the processing information of each stamping module, generates performance records and stores them in the historical log.

[0072] Compared with the prior art, the beneficial effects achieved by the present invention are:

[0073] Intelligent temperature supervision: By calculating the first coefficient of each performance record, qualified performance records are screened out and marked, and the marked performance records are first classified and then grouped by temperature. The second coefficient of each group of marked performance records is calculated, and the upper limit temperature of each stamping die group is analyzed according to the second coefficient to define abnormal objects. Compared with the mechanical threshold judgment and screening of abnormalities in the prior art, the temperature supervision method of the present invention is more intelligent and the results are more accurate and reliable.

[0074] Efficient pressure management: The linear regression model is used to analyze the temperature change rate of each abnormal object at different pressure values. The first pressure adjustment interval is obtained based on the current temperature change rate combined with the pressure control interval. The second pressure adjustment interval is obtained by analyzing the size of the standard deviation of the performance parameters at each pressure at the current temperature. The optimal pressure value is selected for adjustment based on the two pressure intervals, which is more flexible and efficient than the pre-setting of the existing technology.

[0075] In summary, compared with traditional technologies, the present invention has the advantages of intelligent temperature supervision and efficient pressure management, and can improve the quality of automobile mold processing products. BRIEF DESCRIPTION OF THE DRAWINGS

[0076] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0077] Figure 1 It is a flow chart of the automobile mold control management method used for stamping processing of the present invention;

[0078] Figure 2 It is a structural schematic diagram of the automobile mold control management system used for stamping processing of the present invention. DETAILED DESCRIPTION

[0079] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0080] See also Figure 1 The present invention provides a method for controlling and managing automobile molds for stamping processing, comprising the following steps:

[0081] S100, collecting historical logs and standard comparison tables of stamping parts processed by automobile molds in the production area, and collecting operating parameters of different stamping die sets under the automobile molds in real time through sensors.

[0082] S200, calculating the upper limit temperature of each stamping die set by analyzing the historical log and the standard comparison table, and calculating the time required to reach the upper limit temperature according to the current operating parameters of each stamping die set to define abnormal objects.

[0083] S300: Use artificial intelligence algorithms to analyze the relationship between the operating parameters of the abnormal object, determine whether the abnormality can be resolved by adjusting the operating parameters, adjust the operating parameters, or feed back the abnormal object to the data center.

[0084] S400, the operation status of the automobile mold is displayed in real time through the visual screen, abnormal objects are updated and automatically adjusted according to the operation parameters, and the processing information of each stamping die group is recorded and stored in the history log.

[0085] In S100, automobile molds refer to molds used to produce automobile metal stamping parts. Stamping parts refer to metal parts produced by stamping processes. Stamping die sets refer to mechanical die sets that act on different positions of stamping parts in automobile molds, and each stamping die set has an independent pressure control device.

[0086] The historical log includes the performance records of each stamping die set each time the automotive mold processes a stamping part. Each performance record includes a code, stamping time period, and performance parameters. The code is used to distinguish different stamping dies, and the performance parameters refer to the indicator information of the stamping die after processing the stamping part. The standard comparison table includes the performance parameter range and pressure control range of each stamping die set. The operating parameters include the pressure and temperature of each stamping die set at different times. The pressure refers to the pressure value applied by the stamping die set to the contact position with the stamping part, and the temperature refers to the temperature value at the contact position between the stamping die set and the stamping part.

[0087] The stamping time period refers to the time from the start to the end of the stamping die set acting on the stamping part. During this time period, the stamping die set and the stamping part physically interact and deform. The performance parameters are obtained by the detection system through detection and analysis of the stamping parts after processing. Specifically, they are one of the length, width, height and angle. The performance parameters can be quantified, and the best value is the middle value of the performance parameter interval. When the performance parameter is in the performance parameter interval, it means that the part of the stamping part is qualified.

[0088] Automobile molds rely on several stamping dies to process stamping parts in many aspects and at many angles. Each stamping die is equipped with an independent pressure control device that can automatically adjust the pressure applied to the stamping parts during processing. Due to the differences in the processing tasks and performance parameter requirements of different parts of the stamping parts, different stamping dies have different pressure control ranges.

[0089] In S200, the specific steps are as follows:

[0090] S201, obtain the codes and performance parameters pp of all performance records in the historical log, search the performance parameter interval corresponding to each code in the standard comparison table, and obtain the middle value ps of each performance parameter interval mid Substitute the length ps into the formula to calculate the first coefficient of each performance record, and mark all performance records in the historical log whose first coefficient is not greater than 1. The calculation formula for the first coefficient is as follows:

[0091]

[0092] Where J is the first coefficient.

[0093] The first coefficient indicates whether the performance record is qualified. When the first coefficient is greater than 1, it means that the stamping processing result corresponding to the performance record is unqualified. Unqualified performance records are screened out to improve the accuracy of subsequent data processing.

[0094] S202, obtain the code DB and stamping time period ts of all marking performance records, retrieve the temperature value of the code DB in the stamping time period ts in the operating parameters and calculate the average temperature TP. First, classify all marking performance records according to whether the codes are the same, and then group each type of marking performance record again according to whether the average temperature is the same, obtain the first coefficient of each marking performance record in group G under category H, set the constant α and substitute it into the formula to calculate the second coefficient SX of group G:

[0095]

[0096] In the formula, BZ G The standard deviation of the first coefficient for all marker performance records in group G, BZ H Record the standard deviation of the first coefficient for all marked properties under category H, L H is the number of all performance records marked under category H, L G is the number of all marked performance records in group G, Record the average value of the first coefficient for all marker performances in group G, The average value of the first coefficient is recorded for all marking performances under category H.

[0097] The first coefficient indicates the degree of fluctuation of the performance parameters of the stamping die under different temperature conditions. The smaller the standard deviation and average value of the first coefficient at a certain temperature, the more reliable the stamping die processing process at that temperature.

[0098] S203, set the coefficient threshold Y, calculate the second coefficient of each group under each category, and mark the group whose second coefficient is less than the threshold Y in each category. Get the code DB corresponding to category U U , analyze the average temperature of all marker groups under class U, and find the highest temperature as the encoding DB U Corresponding to the upper limit temperature TP of the stamping die max , and so on, the upper limit temperature of each stamping die set is obtained through analysis.

[0099] When a stamping die is used to process a stamped part under normal temperature, the temperature of the stamping die will gradually rise due to the physical friction between the metals, and the temperature rise will easily lead to uncontrollable processing results. Due to the different thermal conductivity, applied pressure and processing methods of each stamping die, the degree to which the controllability of the processing results is affected by temperature changes is also different, so each stamping die has a different upper limit temperature.

[0100] S204, obtain current time T now The temperature value TP of each stamping die group now , set the backtracking time fb And establish a stamping set for each stamping die set, first set the current time T now Subtract the backtracking time fb Get the backtracking time T hsj , and then the stamping time period is in the retrospective time T hsj With the current time T now The marking performance records between the two are put into the stamping set of the corresponding stamping die set. The average temperature of each marking performance record in the stamping set is analyzed and the lowest temperature is used as the initial temperature TP of the corresponding stamping die set. initial .

[0101] S205, first set the temperature value TP of each stamping die set now Subtract the initial temperature TP initial Then divide by the backtracking time fb Get the temperature change rate WS now , and then set the upper limit temperature TP of each stamping die set max Subtract the temperature value TP now Then divide by the temperature change rate WS now Get the change duration. Set the adjustment duration C, and treat the stamping die whose change duration is less than the adjustment duration C as an abnormal object.

[0102] In S300, the specific steps are as follows:

[0103] S301. Obtain all the marking performance records under the abnormal object, analyze the code and stamping time period of each marking performance record, retrieve the corresponding pressure value in the operation parameters, and sort these marking performance records in order from early to late according to the stamping time period. According to the arrangement order of the marking performance records, divide more than one adjacent marking performance records with the same pressure value into a combination area, calculate the temperature extreme difference and time extreme difference of all marking performance records in each combination area, and divide the temperature extreme difference by the time extreme difference to obtain the temperature change rate of the corresponding combination area.

[0104] Due to differences in thermal conductivity, applied pressure and processing methods, the temperature change rate of each stamping die will also be different.

[0105] S302. Establish a training set for the abnormal object and count the number of combination areas R, obtain the pressure value PV and temperature change rate WS of each combination area, take PV as the independent variable and WS as the dependent variable and pack them into samples, and put these R samples into the training set. Establish a linear regression model, input the training set into the linear regression model for training, and obtain the temperature relationship expression.

[0106] Get the temperature change rate WS of the abnormal object now , evenly set Z sampling points in the corresponding pressure control interval in the standard comparison table, and bring the pressure value of each sampling point into the temperature relationship expression to calculate the temperature change rate, and mark the temperature change rate less than WS now After all sampling points are calculated, the minimum and maximum pressure values ​​of all marked sampling points are obtained and the pressure adjustment interval PA is established. one .

[0107] The specific training content of the expression includes: taking the independent variable of each sample in the training set as the input value of the linear regression model, and taking the difference between the output result of each sample and the dependent variable as the gap coefficient. Setting the error threshold, adjusting the intercept d and the regression coefficient n so that the gap coefficient of all samples in the training set is less than the error threshold, and obtaining the expression after training:

[0108] M = d + nK;

[0109] In the formula, M is the dependent variable and K is the independent variable.

[0110] S303: Obtain the current temperature value TP of the abnormal object dq And pressure value PV dq , first filter out all the temperature values ​​of the abnormal objects as TP dq The marked performance records are taken as isothermal records, and then these isothermal records are classified according to whether the pressure values ​​are the same.

[0111] Calculate the standard deviation of the first coefficient of all isothermal records under each category and obtain the pressure value PV dq Standard deviation of class BZ dq , marking standard deviation less than BZ dq Get the minimum and maximum pressure values ​​of all marked classes and establish the pressure adjustment interval PA two .

[0112] Determine PA one With PA two Check whether there is an intersection. If not, the abnormal object will be fed back to the data center. If it does, the pressure value PV of the middle point of the intersection interval will be obtained. zj , and adjust the pressure value of the abnormal object to PV zj .

[0113] In S400, the data center displays the operating parameters of each stamping module under the automobile mold in real time through a visual screen, updates abnormal objects in a timely manner and automatically adjusts them according to the operating parameters, records the stamping time period of each stamping module and the performance parameters of the corresponding processing position of the stamping parts, generates performance records and stores them in the historical log.

[0114] See also Figure 2 The present invention provides an automobile mold control and management system for stamping processing, including a data acquisition module, an abnormality analysis module, a stamping management module and a visualization module.

[0115] The data acquisition module is used to collect historical logs and standard comparison tables, as well as the operating parameters of different stamping dies under the automobile mold.

[0116] The abnormal analysis module calculates the upper limit temperature of each stamping die by analyzing the historical logs and the standard comparison table, and calculates the time required to reach the upper limit temperature according to the current operating parameters of each stamping die to define the abnormal object.

[0117] The stamping management module uses artificial intelligence algorithms to analyze the relationship between operating parameters under abnormal objects, determine whether the abnormality can be resolved by adjusting the operating parameters, and feed back the abnormal objects to the data center.

[0118] The visualization module displays the operating status of the automobile mold in real time through the visualization screen, generates performance records and stores them in the historical log.

[0119] During the processing, each stamping die set applies different processing methods to different key positions of the stamping parts to realize the processing of the entire stamping parts by the automobile mold.

[0120] For example, key positions: Cutting points, where the cutting starts on the metal sheet, are usually located at the edge or a specific area. Forming points, where the sheet is stretched, bent or punched, are the key parts that are subjected to large deformation stress. Hole points, where holes of various shapes are punched out on the sheet, the accuracy and position of the holes are critical to the quality of the parts. Punching points, where the metal sheet is sheared and separated, require the tool to maintain good sharpness. Transition points, the transition areas between different forming processes, require special design to ensure a smooth transition.

[0121] The precise design and optimization of these key positions are critical to ensuring the dimensional accuracy, surface quality and structural integrity of stamping parts. These key positions need to be reasonably planned according to the part structure and process requirements.

[0122] For example, processing methods include: Shearing, using a punch press to cut metal sheets to produce blanks of various shapes. Punching, punching holes of various sizes and shapes on metal sheets. Stretching, stretching metal sheets into parts with certain shapes, such as cup-shaped parts, cover-shaped parts, etc. Bending, bending metal sheets into the required shapes, such as angle steel, U-shaped parts, etc. Stamping, stamping metal sheets into complex three-dimensional parts, such as shells, brackets, etc.

[0123] Stamping parts are widely used in the automotive industry for their cost advantages, high production efficiency, and ability to achieve complex shapes. Reasonable design of automotive molds is the key to ensuring the quality and production efficiency of stamping parts.

[0124] The data collection module includes an operation parameter collection unit, a history log collection unit and a table information collection unit.

[0125] The operating parameter collection unit is used to collect the pressure and temperature of each stamping die at different times. The pressure refers to the pressure value applied by the stamping die to the contact position with the stamping part, and the temperature refers to the temperature value of the contact position between the stamping die and the stamping part.

[0126] The historical log collection unit is used to collect the performance records of each stamping die set each time the automobile mold processes stamping parts. Each performance record includes a code, stamping time period and performance parameters. The code is used to distinguish different stamping dies, and the performance parameters refer to the indicator information of the stamping die after processing the stamping parts.

[0127] The table information collection unit is used to collect standard comparison tables, specifically including the performance parameter range and pressure control range of each stamping die set qualification.

[0128] The abnormality analysis module includes a temperature analysis unit and an abnormality marking unit.

[0129] The temperature analysis unit is used to calculate the upper limit temperature of each stamping die set.

[0130] First, the performance parameter interval corresponding to the code of each performance record is retrieved in the standard comparison table to obtain the performance parameter pp of each performance record and the middle value ps of the corresponding performance parameter interval. mid and length ps, according to the formula Calculate the first coefficient and mark all performance records in the history log whose first coefficient is not greater than 1.

[0131] Secondly, obtain the code DB and stamping time period ts of all marking performance records, retrieve the temperature value of DB in the ts time period in the operating parameters and calculate the average temperature TP. First, classify all marking performance records according to whether the code is the same, and then group each type of marking performance record again according to whether the average temperature is the same, obtain the first coefficient of each marking performance record in group G under category H, and calculate the second coefficient of group G.

[0132] Finally, set the coefficient threshold Y, calculate the second coefficient of each group under each category, and mark the group whose second coefficient is less than Y in each category. Get the encoding DB corresponding to category U U , analyze the average temperature of all the marking groups under the U category, and find the highest temperature as DB U Corresponding to the upper limit temperature TP of the stamping die max , and so on, the upper limit temperature of each stamping die set is obtained through analysis.

[0133] The exception tag unit is used to define exception objects.

[0134] First get the current time T now The temperature value TP of each stamping die group now , set the backtracking time fb And establish a stamping set for each stamping die set, first set the current time T now Subtract the backtracking time fb Get the backtracking time T hsj , and then the stamping time period is in the retrospective time T hsj With the current time T now The marking performance records between the two are put into the stamping set of the corresponding stamping die set. The average temperature of each marking performance record in the stamping set is analyzed and the lowest temperature is used as the initial temperature TP of the corresponding stamping die set. initial .

[0135] Then the TP of each stamping die now Subtract TP initial Then divide by time fb Get the temperature change rate WS now , TP of each stamping die max Subtract TP now Then divide by WSnow Get the change duration. Set the adjustment duration C, and treat the stamping die with a change duration less than C as an abnormal object.

[0136] The stamping management module includes a relationship analysis unit and an abnormality adjustment unit.

[0137] The relationship analysis unit is used to analyze the relationship between the pressure and temperature change speed of the abnormal object.

[0138] First, the code and stamping time period of each marking performance record under the abnormal object are analyzed, the corresponding pressure value is retrieved in the operating parameters, and these marking performance records are sorted in order from early to late according to the stamping time period.

[0139] Secondly, according to the arrangement order of the marked performance records, one or more adjacent marked performance records with the same pressure value are divided into a combination area, and the temperature extremes and time extremes of all marked performance records in each combination area are calculated respectively. The temperature change rate of the corresponding combination area is obtained by dividing the temperature extreme by the time extreme.

[0140] Finally, a training set is established for the abnormal object and the number of combination areas R is counted. The pressure value PV and temperature change rate WS of each combination area are used as independent variables and dependent variables respectively and packaged as samples. These R samples are put into the training set. A linear regression model is established, and the training set is input into the linear regression model for training to obtain the temperature relationship expression.

[0141] The abnormality adjustment unit is used to determine whether the abnormality can be resolved by adjusting the operating parameters.

[0142] First, obtain the temperature change rate WS of the abnormal object now , evenly set Z sampling points in the corresponding pressure control interval in the standard comparison table, and bring the pressure value of each sampling point into the temperature relationship expression to calculate the temperature change rate, and mark the temperature change rate less than WS now After all sampling points are calculated, the minimum and maximum pressure values ​​of all marked sampling points are obtained and the pressure adjustment interval PA is established. one .

[0143] Secondly, get the current temperature value TP of the abnormal object dq And pressure value PV dq , set all temperature values ​​under abnormal objects to TP dq The performance records of the mark are used as isothermal records, and these isothermal records are classified according to whether the pressure values ​​are the same. The standard deviation of the first coefficient of all isothermal records in each category is calculated respectively, and the pressure value is obtained as PV dq Standard deviation of class BZ dq , marking standard deviation less than BZ dqGet the minimum and maximum pressure values ​​of all marked classes and establish the pressure adjustment interval PA two .

[0144] Finally, judge the PA one With PA two Check whether there is an intersection. If not, the abnormal object will be fed back to the data center. If it does, the pressure value PV of the middle point of the intersection interval will be obtained. zj , and adjust the pressure value of the abnormal object to PV zj .

[0145] The visualization module displays the operating parameters of each stamping module under the automobile mold in real time, updates and adjusts abnormal objects in time, records the processing information of each stamping module, generates performance records and stores them in the historical log.

[0146] Example 1: Assume that there are 3 performance records of the stamping die set A1, and their performance parameters are 23.2°, 22.5° and 23.5° respectively. When the performance parameter interval is [22°-24°], the middle value is 23° and the length is 2°. Substitute it into the formula to calculate the first coefficient of each performance record:

[0147]

[0148] Then the first coefficients of these three performance records are 0.2, 0.5 and 0.5 respectively.

[0149] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0150] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A method for controlling and managing automobile molds for stamping processing, characterized in that: The method comprises the following steps: S100, collecting historical logs and standard comparison tables of stamping parts processed by automobile molds in the production area, and collecting operating parameters of different stamping die sets under automobile molds in real time through sensors; S200, calculating the upper limit temperature of each stamping die set by analyzing the historical log and the standard comparison table, and calculating the time required to reach the upper limit temperature according to the current operating parameters of each stamping die set to define the abnormal object; S300, using an artificial intelligence algorithm to analyze the relationship between the operating parameters of the abnormal object, determine whether the abnormality can be resolved by adjusting the operating parameters, adjust the operating parameters or feed back the abnormal object to the data center; S400, the operation status of the automobile mold is displayed in real time through the visual screen, abnormal objects are updated and automatically adjusted according to the operation parameters, and the processing information of each stamping die group is recorded and stored in the history log.

2. The automobile mold control management method for stamping processing according to claim 1 is characterized in that: In S100, automobile molds refer to molds used to produce automobile metal stamping parts; stamping parts refer to metal parts produced by stamping process; A stamping die refers to a mechanical die that acts on different positions of a stamped part in an automobile mold, and each stamping die has an independent pressure control device. The historical log includes the performance records of each stamping die each time the automobile mold processes a stamped part. Each performance record includes a code, a stamping time period, and performance parameters. The code is used to distinguish different stamping dies, and the performance parameters refer to the index information of the stamping die after processing the stamped part. The standard comparison table includes the performance parameter range and pressure control range of each stamping die qualification. The operating parameters include the pressure and temperature of each stamping die at different times. The pressure refers to the pressure value applied by the stamping die to the contact position with the stamped part, and the temperature refers to the temperature value at the contact position between the stamping die and the stamped part.

3. The automobile mold control management method for stamping processing according to claim 2 is characterized in that: In S200, the specific steps are as follows: S201, obtain the codes and performance parameters pp of all performance records in the historical log, search the performance parameter interval corresponding to each code in the standard comparison table, and obtain the middle value ps of each performance parameter interval mid and length ps, and substitute them into the formula to calculate the first coefficient of each performance record, marking all performance records in the historical log whose first coefficient is not greater than 1; the calculation formula for the first coefficient is as follows: Where, J is the first coefficient; S202, obtain the code DB and stamping time period ts of all marking performance records, retrieve the temperature value of the code DB in the stamping time period ts in the operating parameters and calculate the average temperature TP; first classify all marking performance records according to whether the codes are the same, and then group each type of marking performance record again according to whether the average temperature is the same, obtain the first coefficient of each marking performance record in the G group under the H class, set the constant α and substitute it into the formula to calculate the second coefficient SX of the G group: In the formula, BZ G The standard deviation of the first coefficient for all marker performance records in group G, BZ H Record the standard deviation of the first coefficient for all marked properties under category H, L H is the number of all marking performance records under category H, L G is the number of all marked performance records in group G, Record the average value of the first coefficient for all marker performances in group G, Record the average value of the first coefficient for all marked performances under category H; S203, set the coefficient threshold Y, calculate the second coefficient of each group under each category, and mark the group whose second coefficient is less than the threshold Y in each category; obtain the code DB corresponding to category U U , analyze the average temperature of all marker groups under class U, and find the highest temperature as the encoding DB U Corresponding to the upper limit temperature TP of the stamping die max , and so on, the upper limit temperature of each stamping die set is obtained by analysis; S204, obtain current time T now The temperature value TP of each stamping die group now , set the backtracking time fb And establish a stamping set for each stamping die set, first set the current time T now Subtract the backtracking time fb Get the backtracking time T hsj , and then the stamping time period is in the retrospective time T hsj With the current time T now The marking performance records between the two are put into the stamping set of the corresponding stamping die set; the average temperature of each marking performance record in the stamping set is analyzed and the lowest temperature is used as the initial temperature TP of the corresponding stamping die set initial ; S205, first set the temperature value TP of each stamping die now Subtract the initial temperature TP initial Then divide by the backtracking time fb Get the temperature change rate WS now , and then set the upper limit temperature TP of each stamping die set max Subtract the temperature value TP now Then divide by the temperature change rate WS now Get the change duration; set the adjustment duration C, and treat the stamping die whose change duration is less than the adjustment duration C as an abnormal object.

4. The automobile mold control management method for stamping processing according to claim 3 is characterized in that: In S300, the specific steps are as follows: S301, obtain all the marking performance records under the abnormal object, analyze the code and stamping time period of each marking performance record, retrieve the corresponding pressure value in the operating parameters, and sort these marking performance records in order from early to late according to the stamping time period; according to the arrangement order of the marking performance records, divide more than one adjacent marking performance records with the same pressure value into a combination area, calculate the temperature extreme difference and time extreme difference of all marking performance records in each combination area respectively, and divide the temperature extreme difference by the time extreme difference to obtain the temperature change rate of the corresponding combination area; S302, establish a training set for the abnormal object and count the number of combination areas R, obtain the pressure value PV and temperature change rate WS of each combination area, take PV as the independent variable WS as the dependent variable and pack them into samples, and put these R samples into the training set; establish a linear regression model, input the training set into the linear regression model for training, and obtain the temperature relationship expression; obtain the temperature change rate WS of the abnormal object now , evenly set Z sampling points in the corresponding pressure control interval in the standard comparison table, and bring the pressure value of each sampling point into the temperature relationship expression to calculate the temperature change rate, and mark the temperature change rate less than WS now After all sampling points are calculated, the minimum and maximum pressure values ​​of all marked sampling points are obtained and the pressure adjustment interval PA is established. one ; S303: Obtain the current temperature value TP of the abnormal object dq And pressure value PV dq , first filter out all the temperature values ​​of the abnormal objects as TP dq The marked performance records are taken as isothermal records, and then these isothermal records are classified according to whether the pressure values ​​are the same; the standard deviation of the first coefficient of all isothermal records in each category is calculated respectively, and the pressure value is obtained as PV dq Standard deviation of class BZ dq , marking standard deviation less than BZ dq Get the minimum and maximum pressure values ​​of all marked classes and establish the pressure adjustment interval PA two ; Determine PA one With PA two Check whether there is an intersection. If not, the abnormal object will be fed back to the data center. If it does, the pressure value PV of the middle point of the intersection interval will be obtained. zj , and adjust the pressure value of the abnormal object to PV zj .

5. The automobile mold control management method for stamping processing according to claim 4 is characterized in that: In S400, the data center displays the operating parameters of each stamping module under the automobile mold in real time through a visual screen, updates abnormal objects in a timely manner and automatically adjusts them according to the operating parameters, records the stamping time period of each stamping module and the performance parameters of the corresponding processing position of the stamping parts, generates performance records and stores them in the historical log.

6. Automobile mold control and management system for stamping processing, characterized by: The system includes a data acquisition module, an abnormality analysis module, a stamping management module and a visualization module; The data acquisition module is used to collect historical logs and standard comparison tables, as well as the operating parameters of different stamping dies under automobile molds; the abnormal analysis module calculates the upper limit temperature of each stamping die by analyzing historical logs and standard comparison tables, and calculates the time required to reach the upper limit temperature according to the current operating parameters of each stamping die to define the abnormal object; the stamping management module uses artificial intelligence algorithms to analyze the relationship between the operating parameters under the abnormal object, determine whether the abnormality can be resolved by adjusting the operating parameters and feedback the abnormal object to the data center; the visualization module displays the operating status of the automobile mold in real time through a visualization screen, generates performance records and stores them in the historical log.

7. The automobile mold control and management system for stamping processing according to claim 6 is characterized in that: The data collection module includes an operation parameter collection unit, a history log collection unit and a table information collection unit; The operating parameter acquisition unit is used to collect the pressure and temperature of each stamping die set at different times. The pressure refers to the pressure value applied by the stamping die set to the contact position with the stamping part, and the temperature refers to the temperature value of the contact position between the stamping die set and the stamping part. The historical log collection unit is used to collect the performance records of each stamping die set when the automobile mold processes stamping parts each time; each performance record includes a code, stamping time period and performance parameters. The code is used to distinguish different stamping dies, and the performance parameters refer to the index information of the stamping die after processing the stamping parts; The table information collection unit is used to collect standard comparison tables, specifically including the performance parameter range and pressure control range of each stamping die set qualification.

8. The automobile mold control and management system for stamping processing according to claim 7 is characterized in that: The abnormality analysis module includes a temperature analysis unit and an abnormality marking unit; The temperature analysis unit is used to calculate the upper limit temperature of each stamping die set; First, the performance parameter interval corresponding to the code of each performance record is retrieved in the standard comparison table to obtain the performance parameter pp of each performance record and the middle value ps of the corresponding performance parameter interval. mid and length ps, according to the formula Calculate the first coefficient and mark all performance records in the history log where the first coefficient is not greater than 1; Secondly, obtain the code DB and stamping time period ts of all marking performance records, retrieve the temperature value of DB in the ts time period in the operating parameters and calculate the average temperature TP; first classify all marking performance records according to whether the code is the same, and then group each type of marking performance record again according to whether the average temperature is the same, obtain the first coefficient of each marking performance record in the G group under the H category, and calculate the second coefficient of the G group; Finally, set the coefficient threshold Y, calculate the second coefficient of each group under each category, and mark the group whose second coefficient is less than Y in each category; Get the encoding DB corresponding to the U class U , analyze the average temperature of all the marking groups under the U category, and find the highest temperature as DB U Corresponding to the upper limit temperature TP of the stamping die max , and so on, the upper limit temperature of each stamping die set is obtained by analysis; The exception marking unit is used to define exception objects; First get the current time T now The temperature value TP of each stamping die group now , set the backtracking time fb And establish a stamping set for each stamping die set, first set the current time T now Subtract the backtracking time fb Get the backtracking time T hsj , and then the stamping time period is in the retrospective time T hsj With the current time T now The marking performance records between the two are put into the stamping set of the corresponding stamping die set; the average temperature of each marking performance record in the stamping set is analyzed and the lowest temperature is used as the initial temperature TP of the corresponding stamping die set initial ; Then the TP of each stamping die now Subtract TP initial Then divide by time fb Get the temperature change rate WS now , TP of each stamping die max Subtract TP now Then divide by WS now Get the change duration; set the adjustment duration C, and treat the stamping die with a change duration less than C as an abnormal object.

9. The automobile mold control and management system for stamping processing according to claim 8, characterized in that: The stamping management module includes a relationship analysis unit and an abnormal adjustment unit; The relationship analysis unit is used to analyze the relationship between the pressure and temperature change speed of the abnormal object; First, the code and stamping time period of each marking performance record under the abnormal object are analyzed, the corresponding pressure value is retrieved in the operation parameters, and these marking performance records are sorted according to the stamping time period from early to late; Secondly, according to the arrangement order of the marked performance records, one or more adjacent marked performance records with the same pressure value are divided into a combination area, and the temperature extreme difference and time extreme difference of all marked performance records in each combination area are calculated respectively, and the temperature change rate of the corresponding combination area is obtained by dividing the temperature extreme difference by the time extreme difference; Finally, a training set is established for the abnormal object and the number of combination areas R is counted. The pressure value PV and the temperature change rate WS of each combination area are respectively used as independent variables and dependent variables and packaged as samples. These R samples are put into the training set; a linear regression model is established, and the training set is input into the linear regression model for training to obtain the temperature relationship expression; The abnormality adjustment unit is used to determine whether the abnormality can be resolved by adjusting the operating parameters; First, obtain the temperature change rate WS of the abnormal object now , evenly set Z sampling points in the corresponding pressure control interval in the standard comparison table, and bring the pressure value of each sampling point into the temperature relationship expression to calculate the temperature change rate, and mark the temperature change rate less than WS now After all sampling points are calculated, the minimum and maximum pressure values ​​of all marked sampling points are obtained and the pressure adjustment interval PA is established. one ; Secondly, get the current temperature value TP of the abnormal object dq And pressure value PV dq , set all temperature values ​​under abnormal objects to TP dq The marked performance records are taken as isothermal records, and these isothermal records are classified according to whether the pressure values ​​are the same; the standard deviation of the first coefficient of all isothermal records in each category is calculated respectively, and the pressure value is obtained as PV dq Standard deviation of class BZ dq , marking standard deviation less than BZ dq Get the minimum and maximum pressure values ​​of all marked classes and establish the pressure adjustment interval PA two ; Finally, judge the PA one With PA two Check whether there is an intersection. If not, the abnormal object will be fed back to the data center. If it does, the pressure value PV of the middle point of the intersection interval will be obtained. zj , and adjust the pressure value of the abnormal object to PV zj .

10. The automobile mold control and management system for stamping processing according to claim 9, characterized in that: The visualization module displays the operating parameters of each stamping module under the automobile mold in real time, updates and adjusts abnormal objects in time, records the processing information of each stamping module, generates performance records and stores them in the historical log.

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