Integrated die-casting automatic production control method

Abstract

The application discloses an integrated die-casting automatic production control method and relates to the technical field of mechanical engineering. The method comprises the following steps: obtaining process correlation parameters of each working procedure; obtaining strong correlation parameters by using a working procedure parameter analysis method; constructing a die-casting twin model and obtaining standard consumption amounts and delayed saving amounts of each working procedure; and controlling the working procedure based on the strong correlation parameters and the delayed saving amounts. The application is used to solve the problem that, in the existing integrated die-casting automatic production control method, when a current working procedure lags behind, if a subsequent working procedure still maintains rated power and rated speed, the invalid consumption of various production resources is greatly increased, and the mechanical wear of the mechanism is aggravated, thereby causing the additional increase of production operation cost and the high loss of production line equipment.

Description

Technical Field

[0001] This invention relates to the field of mechanical engineering technology, specifically to an integrated automatic production control method for die casting. Background Technology

[0002] Integrated die casting automated production is an advanced manufacturing process that uses ultra-large tonnage die casting machines to die-cast dozens to hundreds of automotive parts into a single large structural component in one go, and is executed automatically throughout the entire process by an intelligent control system. Integrated die casting automated production control is a high-end manufacturing model that achieves full-process automation, digitalization, and closed-loop management of ultra-large die casting parts from raw materials to finished products through the deep integration of intelligent systems and advanced manufacturing technologies.

[0003] Existing methods for integrated automated die-casting production control typically involve collecting relevant data during die-casting, identifying corresponding parameter cycles based on parameter change thresholds, and then predicting product quality by acquiring characteristic parameters of these cycles. The predicted values ​​are then compared with preset thresholds to determine whether to control automated die-casting production. While this improved method can meet the real-time control requirements of the die-casting process, it suffers from several drawbacks in the collaborative management of processes. If a preceding process lags, subsequent processes operating at rated power and speed will experience a significant increase in the ineffective consumption of various production resources. Furthermore, if subsequent processes idle due to a preceding process lag, it will exacerbate mechanical wear and shorten equipment lifespan, leading to additional increases in production and operating costs and high equipment wear and tear on the production line. For example, in publication number CN1... Patent application 21776444A discloses an integrated die-casting intelligent control optimization method, device, equipment, and storage medium. This solution compares the predicted product quality value with a preset threshold to determine whether process parameters need optimization. Other improvements to integrated die-casting automated production control methods typically focus on equipment optimization during the production process. However, in terms of collaborative management of processes during die-casting, there are still issues. If subsequent processes maintain rated power and speed when the preceding process lags, it leads to a significant increase in the ineffective consumption of various production resources. Furthermore, idling in subsequent processes exacerbates mechanical wear and shortens equipment lifespan, resulting in additional increases in production and operating costs and higher equipment wear on the production line. Therefore, it is necessary to improve existing integrated die-casting automated production control methods. Summary of the Invention

[0004] This invention aims to at least partially solve one of the technical problems in the prior art. By proposing an integrated automatic production control method for die casting, this invention addresses the issue that in existing integrated automatic production control methods for die casting, when a preceding process lags behind, if subsequent processes continue to operate at rated power and speed, it leads to a significant increase in the ineffective consumption of various production resources. Furthermore, the idling of subsequent processes exacerbates mechanical wear and shortens equipment lifespan, resulting in additional increases in production and operating costs and high wear and tear on production line equipment.

[0005] To achieve the above objectives, this application provides an integrated automated production control method for die casting, comprising the following steps: Based on the parameter monitoring records of all processes during integrated die casting automated production, the process correlation parameters of each process are obtained; the process parameter analysis method is used to analyze the process correlation parameters of each process in turn, and the strong correlation parameters of each process are obtained. A model corresponding to the integrated die-casting automated production is constructed based on digital twins, denoted as the die-casting twin model; based on the die-casting twin model, the standard consumption amount of each process and the delayed savings amount of all delayed examples are obtained using process simulation methods; When the integrated die-casting automated production is running, the production process is controlled based on the strong correlation parameters of all processes and the amount of savings incurred during delays.

[0006] Furthermore, based on the parameter monitoring records of all processes during integrated die-casting automated production, the process-related parameters for each process are obtained, including: Based on the sequence of process execution, all processes in the integrated die-casting automated production are sequentially denoted as die-casting process YG1 to die-casting process YG. n For any die-casting process YG m When integrating die casting into automated production, it can enable the die casting process YG m The parameters monitored in real time during the die casting process are denoted as YG. m The process monitoring parameters, where m is a positive integer less than or equal to n and greater than or equal to 1; Obtain the process monitoring parameters for all die casting processes; use parameter filtering methods to analyze all die casting monitoring parameters corresponding to each die casting process, and obtain the process correlation parameters corresponding to each die casting process based on the analysis results.

[0007] Furthermore, parameter selection methods include: For any die casting process: Based on the historical records of monitoring the integrated automated die casting production, obtain the corresponding process execution record for the die casting process; record all process execution records corresponding to the die casting process sequentially from first to last as process record GJ1 to process record GJ. t ; For any process record GJ r Record the process GJ r The records corresponding to all individual tasks performed in the die casting process are respectively recorded as process records GJ. r Single task record DR1 to single task record DR w , where r is a positive integer less than or equal to t and greater than or equal to 1; Furthermore, parameter selection methods also include: For any single task record DR v : Record the time taken for the die casting process in a single task record as the standard process time, where v is a positive integer less than or equal to w and greater than or equal to 1; obtain the time when all process monitoring parameters of the die casting process in the single task record are recorded, and record them as the process monitoring duration of the process monitoring parameters; record the process monitoring parameters whose process monitoring duration is equal to the standard process time as the process association parameters of the die casting process. Obtain all process-related parameters for the die-casting process from all single task records across all processes.

[0008] Furthermore, process parameter analysis methods include: For any process-related parameter α of any die-casting process: denote the unit of process-related parameter α as β, establish a Cartesian coordinate system with the unit of x-axis as s and the unit of y-axis as β or %, and denote it as the parameter time series analysis coordinate system; For any single task record corresponding to the process association parameter α in the process record of the die casting process in the parameter screening method, based on the relationship between the process progress and time of the die casting process in the single task record, the process progress is plotted in the interval from X=0 to X=T1 in the parameter time series analysis coordinate system, with % as the unit of process progress, and recorded as the process progress curve. The Y-axis unit of the process progress curve is %, and T1 is the standard time of the process corresponding to the single task record. Based on the monitoring records of process-related parameter α in a single task record, the relationship curve between process-related parameter α and time is plotted in the parameter time series analysis coordinate system and recorded as the parameter change curve. The Y-axis corresponding to the parameter change curve is in unit β. The similarity between the process progress curve and the parameter change curve is denoted as the progress correlation value corresponding to the process correlation parameter α.

[0009] Furthermore, process parameter analysis methods also include: Based on all single task records corresponding to the process association parameter α in the parameter filtering method, the progress association value corresponding to the process association parameter α in all single task records is obtained respectively, and the maximum value among all progress association values ​​and the variance corresponding to all progress association values ​​are recorded as the maximum association value and association variance between the die casting process and the process association parameter α respectively. Obtain the maximum correlation value and correlation variance between the die casting process and all process correlation parameters, and record the process correlation parameter corresponding to the maximum correlation value as the similarity screening parameter; record the similarity screening parameter with the smallest correlation variance among all similarity screening parameters as the strong correlation parameter of the die casting process; Obtain strongly correlated parameters for all die-casting processes.

[0010] Furthermore, a model corresponding to the integrated automated die-casting production is constructed based on the digital twin, denoted as the die-casting twin model; based on the die-casting twin model, the standard consumption amount for each process and the delayed savings amount for all delayed examples are obtained using process simulation methods, including: Based on the dimensional data of all equipment in the integrated die-casting production line, a digital twin model corresponding to the integrated die-casting production is constructed and denoted as the die-casting twin model; for any die-casting process YG b YG die casting process b The standard time is denoted as T, and the die-casting process is denoted as YG. b The process simulation method is used, where the standard time is the die-casting process YG. b When all equipment in the die-casting process is operating under theoretical conditions, YG b The time to complete a single task, where b is a positive integer less than or equal to n and greater than or equal to 2; Process simulation methods include: using a die-casting twin model to simulate the die-casting process YG. d Perform k1 single-task simulations, setting the completion time of each single task to T in each simulation; obtain the die-casting process YG after each simulation. b Record the amount of resources consumed as task resources; record the amount of money corresponding to the task resources consumed as resource amount; The average of all simulated resource costs is denoted as YG for the die-casting process. b The standard consumption amount.

[0011] Furthermore, process simulation methods also include: YG die casting process b-1 The standard time is denoted as T2. j values ​​are uniformly obtained from (0, T2] and denoted as delayed example values. For any delayed example value: the die-casting twin model is used to analyze the die-casting process YG. bPerform k2 single-task simulations, and set the time to complete a single task to (T + delayed example value) in each simulation; based on the resource consumption of each simulation after k2 simulations, obtain the resource amount corresponding to all simulations, and record the average of all resource amounts as the delayed amount; record the delayed saving amount of the delayed example value as the standard consumption amount minus the delayed amount. Get the deferred savings amount for all deferred instance values.

[0012] Furthermore, when the integrated die-casting automated production line is running, the production process is controlled based on the strong correlation parameters of all processes and the amount of savings incurred during delays, including: When the integrated die-casting automated production line is running, for any die-casting process YG that is in operation... d When the die casting process YG d During a single task execution, the die-casting process YG is plotted in real time within the parameter time series analysis coordinate system. d The curve showing the relationship between strongly correlated parameters and time is denoted as the real-time judgment curve, where d is a positive integer less than or equal to n-1 and greater than or equal to 1; For the real-time judgment curve at any given moment: based on the die-casting process YG d The parameter change curves corresponding to the strongly correlated parameters are used to extend and fit the real-time judgment curve, and the fitted real-time judgment curve is recorded as the real-time fitted curve.

[0013] Furthermore, when the integrated die-casting automated production line is running, process control during production, based on the strong correlation parameters of all processes and the amount of savings incurred due to delays, also includes: YG die casting process d The coordinates of the rightmost point in the parameter change curve corresponding to the strongly correlated parameter are marked as (T1, Y1), and the horizontal coordinates of the point with the vertical coordinate of Y1 in the real-time fitting curve are marked as T3; when T3 is less than or equal to T1, the integrated die-casting automatic production is not controlled. When T3 is greater than T1, the value of T3 minus T1 is recorded as the real-time lag value; for the die-casting process YG d+1 To the die casting process YG n For any die casting process, the delay value with the smallest difference from the real-time delay value among all the delay values ​​corresponding to the die casting process is recorded as the real-time delay value, and the delay savings amount of the real-time delay value is recorded as the real-time savings amount. The die-casting process γ corresponding to the largest real-time savings is designated as a delayed process; the time for the delayed process to complete the current single task is extended by the real-time delay value until the delayed process is transferred from die-casting process γ to a die-casting process other than die-casting process.

[0014] The beneficial effects of this invention are as follows: First, based on the parameter monitoring records of all processes during integrated die-casting automated production, this application obtains the process-related parameters of each process. Then, using the process parameter analysis method, the process-related parameters of each process are analyzed sequentially, and the strongly correlated parameters of each process are obtained. The advantage of this is that, by obtaining the process-related parameters based on the parameter monitoring records of all parameters corresponding to the process, parameters that change synchronously with the process can be filtered, thus ensuring that the task progress of the process can be reflected through the changes in the process-related parameters. Furthermore, by obtaining the strongly correlated parameters from all process-related parameters, the most stable parameters whose change states are most similar to the process's progress state can be obtained. This allows for effective monitoring of the process progress through the changes in the strongly correlated parameters during subsequent analysis, and thus effective judgment on whether the process is lagging behind. This application also constructs a die-casting twin model based on digital twins; based on the die-casting twin model, a process simulation method is used to obtain the standard consumption amount of each process and the delayed savings amount of all delayed examples; finally, when the integrated die-casting automated production is running, the processes during production are controlled based on the strong correlation parameters of all processes and the delayed savings amount. The advantage of this is that by obtaining the standard consumption amount of each process and the delayed savings amount of all delayed examples, it is possible to obtain the amount that can be saved when the task time of each process is extended to different values. This allows for real-time control of the integrated die-casting automated production operation, based on the lag time of the preceding processes, to determine the subsequent processes whose task time should be extended. This reduces the amount of resources consumed in the subsequent processes while avoiding them running at rated power, thereby preventing additional increases in production and operating costs and high wear and tear on production line equipment when there is a lag in the preceding processes. Attached Figure Description

[0015] Figure 1 This is a flowchart illustrating the steps of the method of the present invention; Figure 2 This is a flowchart illustrating the process parameter analysis method of the present invention; Figure 3 This is a schematic diagram illustrating the acquisition of the real-time lag value according to the present invention; Figure 4 This is a schematic diagram of the electronic device of the present invention. Detailed Implementation

[0016] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0017] Example 1, please refer to Figure 1 As shown, this application provides an integrated automatic production control method for die casting, including the following steps: Step S1: Based on the parameter monitoring records of all processes during integrated die casting automated production, obtain the process correlation parameters of each process; use the process parameter analysis method to analyze the process correlation parameters of each process in turn, and obtain the strong correlation parameters of each process. Step S1 includes: Step S101, based on the order of process execution, all processes in the integrated die casting automated production are sequentially recorded as die casting process YG1 to die casting process YG. n For any die-casting process YG m When integrating die casting into automated production, it can enable the die casting process YG m The parameters monitored in real time during the die casting process are denoted as YG. m The process monitoring parameters, where m is a positive integer less than or equal to n and greater than or equal to 1; In the data analysis of this embodiment, by analyzing all processes of the integrated die casting automated production, the die casting processes are as follows: melting, die casting, part removal, cooling, post-processing and inspection. Therefore, in the analysis of this embodiment, the value of n is 6. Step S102: Obtain process monitoring parameters for all die casting processes; use parameter filtering methods to analyze all die casting monitoring parameters corresponding to each die casting process, and obtain process association parameters corresponding to each die casting process based on the analysis results.

[0018] Step S103, the parameter filtering method includes: Step S1031, for any die casting process: based on the historical records of monitoring the integrated die casting automated production, obtain the process execution record corresponding to the die casting process; record all process execution records corresponding to the die casting process sequentially from first to last as process record GJ1 to process record GJ. t ; Step S1032, record GJ for any process. r Record the process GJ r The records corresponding to all individual tasks performed in the die casting process are respectively recorded as process records GJ. r Single task record DR1 to single task record DR w , where r is a positive integer less than or equal to t and greater than or equal to 1; In the specific implementation process, for example, when analyzing the "part removal" process in the die casting process, if 10 parts removals are performed in the process record, then each part removal can be recorded as a single task, and the value of w can be set to 10. Each record corresponding to a part removal is recorded as a single task record. The parameter filtering method also includes: step S1033, for any single task record DR v : Record the time taken for the die casting process in a single task record as the standard process time, where v is a positive integer less than or equal to w and greater than or equal to 1; obtain the time when all process monitoring parameters of the die casting process in the single task record are recorded, and record them as the process monitoring duration of the process monitoring parameters; record the process monitoring parameters whose process monitoring duration is equal to the standard process time as the process association parameters of the die casting process. In the data analysis of this embodiment, for example, in a single data analysis, the process monitoring parameters for the die casting process "part removal" include: casting mold opening and solidification time, mechanical gripper positioning accuracy, casting clamping force threshold, safe removal travel distance, and mold cavity residual temperature. The standard process time for the die casting process "part removal" is 10 seconds. Through analysis, it is found that the times when the casting mold opening and solidification time, mechanical gripper positioning accuracy, casting clamping force threshold, safe removal travel distance, and mold cavity residual temperature are recorded in a single task record are 3 seconds, 6 seconds, 7 seconds, 8 seconds, and 10 seconds, respectively. Through analysis, it can be concluded that "mold cavity residual temperature" should be recorded as a process-related parameter for the die casting process "part removal". In actual analysis, since the time period when each parameter is acquired may fluctuate, if all process monitoring parameters are not recorded as process-related parameters, the process monitoring parameter with the smallest difference between the process monitoring time and the standard process time can be recorded as the process-related parameter. Step S1034: Obtain all process-related parameters corresponding to the die-casting process in all single task records of all processes.

[0019] For step S104, please refer to... Figure 2 As shown, the process parameter analysis method includes: step S1041, for any process-related parameter α of any die-casting process: denote the unit of the process-related parameter α as β, establish a plane rectangular coordinate system with the unit of x axis as s and the unit of y axis as β or %, and denote it as the parameter time series analysis coordinate system; Step S1042: For any single task record corresponding to the process association parameter α in the process record of the die casting process in the parameter screening method, based on the relationship between the process progress and time of the die casting process in the single task record, using % as the unit of process progress, draw the relationship curve between process progress and time in the interval from X=0 to X=T1 in the parameter time series analysis coordinate system, and record it as the process progress curve. The Y-axis unit corresponding to the process progress curve is %, and T1 is the standard time of the process corresponding to the single task record. Step S1043: Based on the monitoring record of process-related parameter α in a single task record, plot the relationship curve between process-related parameter α and time in the parameter time series analysis coordinate system, and record it as the parameter change curve, where the Y-axis unit corresponding to the parameter change curve is β; Step S1044: Record the similarity between the process progress curve and the parameter change curve as the progress correlation value corresponding to the process correlation parameter α.

[0020] The process parameter analysis method also includes: step S1045, based on all single task records corresponding to the process correlation parameter α in the parameter screening method, obtaining the progress correlation value corresponding to the process correlation parameter α in all single task records respectively, and recording the maximum value among all progress correlation values ​​and the variance corresponding to all progress correlation values ​​as the maximum correlation value and correlation variance between the die casting process and the process correlation parameter α respectively. Step S1046: Obtain the maximum correlation value and correlation variance corresponding to the correlation parameters of the die casting process and all processes, and record the process correlation parameter corresponding to the maximum correlation value as the similarity screening parameter; record the similarity screening parameter with the smallest correlation variance among all similarity screening parameters as the strong correlation parameter of the die casting process; In the data analysis of this embodiment, for example, the process-related parameters for the die-casting process "part removal" obtained in the parameter screening method are "part removal safety travel distance" and "mold cavity residual temperature". Through process parameter analysis, the maximum correlation value and correlation variance of "part removal safety travel distance" are 95% and 3, respectively, and the maximum correlation value and correlation variance of "mold cavity residual temperature" are 70% and 6.34, respectively. It can be seen from the analysis that "part removal safety travel distance" is the parameter with the most stable parameter change and the parameter change state is most similar to the process state of the die-casting process "part removal" among all process-related parameters. Therefore, in subsequent analysis, the parameter change state of "part removal safety travel distance" can be used to effectively judge the process completion progress of the die-casting process "part removal". Step S1047: Obtain the strongly correlated parameters of all die casting processes.

[0021] Step S2: Construct an integrated die-casting automated production model based on the digital twin, denoted as the die-casting twin model; use process simulation methods based on the die-casting twin model to obtain the standard consumption amount for each process and the delayed savings amount for all delayed examples; In the specific implementation process, when obtaining the standard consumption amount and the deferred savings amount, the maximum amount corresponding to each process at the time of acquisition can be used as the maximum reserve amount for each process, and the sum of the maximum reserve amounts of all processes can be recorded as the minimum reserve amount for automated die casting production. In actual integrated automated die casting production, it should be ensured in real time that the amount available for die casting production is greater than the minimum reserve amount, so as to avoid material scrap due to failure of some processes during the die casting process, and insufficient funds for resource replenishment, which would cause process stagnation, affect the actual die casting production process, and realize intelligent production control. Step S2 includes: Step S201, based on the dimensional data of all equipment in the integrated die-casting production line, constructing a model corresponding to the integrated die-casting production using digital twins, and denoting it as the die-casting twin model; for any die-casting process YG b YG die casting process b The standard time is denoted as T, and the die-casting process is denoted as YG. b The process simulation method is used, where the standard time is the die-casting process YG. b When all equipment in the die-casting process is operating under theoretical conditions, YG b The time to complete a single task, where b is a positive integer less than or equal to n and greater than or equal to 2; Step S202, the process simulation method includes: using a die-casting twin model to simulate the die-casting process YG d Perform k1 single-task simulations, setting the completion time of each single task to T in each simulation; obtain the die-casting process YG after each simulation. b Record the amount of resources consumed as task resources; record the amount of money corresponding to the task resources consumed as resource amount; In the specific implementation process, the resources consumed by the task may include electrical energy, hydraulic oil loss, compressed air loss, circulating cooling water consumption, mechanical wear of servo mechanisms, lubricating grease consumption of robot motion pairs, and energy consumption for auxiliary lighting and temperature control at the workstation. In actual analysis, the resource amount and standard consumption amount can be calculated based on the specific amount converted from the resource consumed by the task, so as to reduce the resource consumption of subsequent processes as much as possible when there is a lag in the preceding process during production control. Step S203: Record the average of all simulated resource amounts as YG for the die-casting process. b The standard consumption amount.

[0022] The process simulation method also includes: step S204, which involves simulating the die-casting process YG. b-1 The standard time is denoted as T2. j values ​​are uniformly obtained from (0, T2] and denoted as delayed example values. For any delayed example value: the die-casting twin model is used to analyze the die-casting process YG. b Perform k2 single-task simulations, and set the time to complete a single task to (T + delayed example value) in each simulation; based on the resource consumption of each simulation after k2 simulations, obtain the resource amount corresponding to all simulations, and record the average of all resource amounts as the delayed amount; record the delayed saving amount of the delayed example value as the standard consumption amount minus the delayed amount. In the data analysis of this embodiment, the values ​​of k1 and k2 can be determined according to the actual data analysis capabilities, and k1 and k2 are allowed to be equal. The purpose of distinguishing k1 and k2 in this embodiment is that k1 is used to obtain the standard consumption amount, that is, the standard consumption amount is obtained after k1 simulations, while k2 is used to obtain the delayed saving amount, that is, the delayed saving amount is obtained after k2 simulations. If the actual data analysis capability is strong, the values ​​of k1 and k2 can be increased, so that the obtained standard consumption amount and delayed saving amount are more in line with the actual resource consumption. Step S205: Obtain the delayed savings amount for all delayed examples.

[0023] Step S3: When the integrated die casting automatic production is running, the production process is controlled based on the strong correlation parameters of all processes and the amount of savings in the delay. In the specific implementation process, before the integrated die-casting automated production starts, the processes that are marked as the most frequently delayed processes in the production operation record, as well as the processes that were most recently marked as delayed processes, are marked. When obtaining delayed processes based on the real-time savings of all die-casting processes, the marked processes are analyzed first. When the real-time savings of the marked process are greater than the expected amount, the marked process is directly marked as a delayed process. This avoids the problem of obtaining delayed processes too late, which would affect the overall operation rhythm of the process and achieve intelligent production control. The expected amount is the real-time savings corresponding to the marked process when it is marked as a delayed process in the production operation record. Step S3 includes: Step S301, when the integrated die casting automated production is running, for any die casting process YG that is in operation. d When the die casting process YG d During a single task execution, the die-casting process YG is plotted in real time within the parameter time series analysis coordinate system. d The curve showing the relationship between strongly correlated parameters and time is denoted as the real-time judgment curve, where d is a positive integer less than or equal to n-1 and greater than or equal to 1; Step S302, for any given real-time judgment curve: based on the die-casting process YG d The parameter change curves corresponding to the strongly correlated parameters are used to extend and fit the real-time judgment curve, and the fitted real-time judgment curve is recorded as the real-time fitted curve.

[0024] Step S3 also includes: Step S303, transferring the die-casting process YG d The coordinates of the rightmost point in the parameter change curve corresponding to the strongly correlated parameter are marked as (T1, Y1), and the horizontal coordinates of the point with the vertical coordinate of Y1 in the real-time fitting curve are marked as T3; when T3 is less than or equal to T1, the integrated die-casting automatic production is not controlled. In the data analysis of this embodiment, for example, during a single data analysis, the real-time judgment curve corresponding to the strongly correlated parameter "part removal safety travel distance" of the die-casting process "part removal" is as follows: Figure 3 As shown in curve ST1, the parameter variation curve of the strongly correlated parameter "safe travel distance for picking up parts" is as follows: Figure 3 The curve ST2 is shown in the figure; based on curve ST2, curve ST1 is fitted to obtain the curve shown in the figure. Figure 3 As shown by curve ST3 in the figure, through analysis, it can be found that T1 and T3 are 8s and 10s respectively, that is, T3 is greater than T1, and the real-time lag value is 2s; therefore, based on the real-time lag value of 2s, the real-time savings amount of each process after the die-casting process "removal" can be obtained, and the process corresponding to the maximum value among all real-time savings amounts can be regarded as the process that can be delayed. By extending the time for the delayed process to complete the current single task by 2 seconds, it is possible to prevent the delayed process from idling at its rated power when there is a delay in the "part picking" process of die casting. This reduces the amount of resources consumed in the delayed process and avoids the problems of additional increases in production and operating costs and high wear and tear on production line equipment. Step S304: When T3 is greater than T1, the value of T3 minus T1 is recorded as the real-time lag value; for the die-casting process YG d+1 To the die casting process YG n For any die casting process, the delay value with the smallest difference from the real-time delay value among all the delay values ​​corresponding to the die casting process is recorded as the real-time delay value, and the delay savings amount of the real-time delay value is recorded as the real-time savings amount. Step S305: Record the die casting process γ corresponding to the largest real-time saving amount as a delayed process; extend the time for the delayed process to complete the current single task by the real-time delay value until the delayed process is transferred from the die casting process γ to a die casting process other than the die casting process.

[0025] Example 2, please refer to Figure 4 As shown, Figure 4A schematic diagram of an electronic device is provided, which may include a processor, a communication interface, a memory, and a communication bus. The processor, communication interface, and memory communicate with each other via the communication bus. The memory stores computer-readable instructions, and the processor can call these instructions. When the processor executes a computer-readable instruction, it runs steps as described in the integrated die-casting automated production control method to achieve the following functions: First, based on the parameter monitoring records of all processes during integrated die-casting automated production, the process-related parameters of each process are obtained; then, the process-related parameters of each process are analyzed sequentially using the process parameter analysis method, and the strong correlation parameters of each process are obtained; next, a model corresponding to the integrated die-casting automated production is constructed based on a digital twin, denoted as the die-casting twin model; based on the die-casting twin model, the standard consumption amount of each process and the delayed savings amount of all delayed examples are obtained using the process simulation method; finally, when the integrated die-casting automated production is running, the processes during production are controlled based on the strong correlation parameters of all processes and the delayed savings amounts.

[0026] Furthermore, when the logical instructions in the aforementioned memory can be implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0027] Example 3: This application also provides a computer program product, which includes a computer program stored on a computer-readable storage medium. The computer program includes program instructions. When the program instructions are executed by a computer, the computer can execute the integrated die-casting automated production control method provided by the above methods. This method includes: firstly, based on the parameter monitoring records of all processes during integrated die-casting automated production, obtaining the process correlation parameters of each process; secondly, using the process parameter analysis method to analyze the process correlation parameters of each process sequentially, and obtaining the strong correlation parameters of each process; thirdly, constructing a model corresponding to integrated die-casting automated production based on digital twins, denoted as the die-casting twin model; fourthly, using the process simulation method based on the die-casting twin model to obtain the standard consumption amount of each process and the delayed savings amount of all delayed examples; and finally, when integrated die-casting automated production is running, controlling the processes during production based on the strong correlation parameters of all processes and the delayed savings amount.

[0028] Example 4: This application also provides a computer-readable storage medium storing a computer program. When the computer program is executed by a processor, it runs the steps of the integrated die-casting automated production control method described above to achieve the following functions: First, based on the parameter monitoring records of all processes during integrated die-casting automated production, the process correlation parameters of each process are obtained; the process correlation parameters of each process are analyzed sequentially using the process parameter analysis method, and the strong correlation parameters of each process are obtained; then, a model corresponding to integrated die-casting automated production is constructed based on digital twins, denoted as the die-casting twin model; based on the die-casting twin model, the standard consumption amount of each process and the delayed savings amount of all delayed examples are obtained using the process simulation method; finally, when integrated die-casting automated production is running, the processes during production are controlled based on the strong correlation parameters of all processes and the delayed savings amount.

[0029] Based on the above description of the embodiments, the embodiments of the present invention can be provided as methods, systems, or computer program products. Based on this understanding, the above technical solutions, in essence or in terms of their contribution to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or certain parts of the embodiments.

[0030] In the embodiments provided in this application, it should be understood that the disclosed system or method can be implemented in other ways. The embodiments described above are merely illustrative. For example, the division of modules or units is only a logical functional division, and there may be other division methods in actual implementation. Furthermore, multiple modules or units may be combined or integrated into another system, or some features may be ignored or not executed. Additionally, the coupling or direct coupling or communication connection shown or discussed may be through some communication interfaces. The indirect coupling or communication connection between systems, modules, and units may be electrical, mechanical, or other forms.

[0031] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application.

Claims

1. An integrated automatic production control method for die casting, characterized in that, Includes the following steps: Based on the parameter monitoring records of all processes during integrated die casting automated production, the process correlation parameters of each process are obtained; the process parameter analysis method is used to analyze the process correlation parameters of each process in turn, and the strong correlation parameters of each process are obtained. A model corresponding to the integrated die-casting automated production is constructed based on digital twins, denoted as the die-casting twin model; based on the die-casting twin model, the standard consumption amount of each process and the delayed savings amount of all delayed examples are obtained using process simulation methods; When the integrated die-casting automated production is running, the production process is controlled based on the strong correlation parameters of all processes and the amount of savings incurred during delays.

2. The integrated die-casting automatic production control method according to claim 1, characterized in that, Based on the parameter monitoring records of all processes during integrated die-casting automated production, the process-related parameters of each process are obtained, including: Based on the sequence of process execution, all processes in the integrated die-casting automated production are sequentially denoted as die-casting process YG1 to die-casting process YG. n For any die-casting process YG m When integrating die casting into automated production, it can enable the die casting process YG m The parameters monitored in real time during the die casting process are denoted as YG. m The process monitoring parameters, where m is a positive integer less than or equal to n and greater than or equal to 1; Obtain the process monitoring parameters for all die casting processes; use parameter filtering methods to analyze all die casting monitoring parameters corresponding to each die casting process, and obtain the process correlation parameters corresponding to each die casting process based on the analysis results.

3. The integrated die-casting automatic production control method according to claim 2, characterized in that, Parameter filtering methods include: For any die casting process: Based on the historical records of monitoring the integrated automated die casting production, obtain the corresponding process execution record for the die casting process; record all process execution records corresponding to the die casting process sequentially from first to last as process record GJ1 to process record GJ. t ; For any process record GJ r Record the process GJ r The records corresponding to all individual tasks performed in the die casting process are respectively recorded as process records GJ. r Single task record DR1 to single task record DR w , where r is a positive integer less than or equal to t and greater than or equal to 1.

4. The integrated die-casting automatic production control method according to claim 3, characterized in that, Parameter filtering methods also include: For any single task record DR v : Record the time taken for the die casting process in a single task record as the standard process time, where v is a positive integer less than or equal to w and greater than or equal to 1; obtain the time when all process monitoring parameters of the die casting process in the single task record are recorded, and record them as the process monitoring duration of the process monitoring parameters; record the process monitoring parameters whose process monitoring duration is equal to the standard process time as the process association parameters of the die casting process. Obtain all process-related parameters for the die-casting process from all single task records across all processes.

5. The integrated die-casting automatic production control method according to claim 4, characterized in that, Process parameter analysis methods include: For any process-related parameter α of any die-casting process: denote the unit of process-related parameter α as β, establish a Cartesian coordinate system with the unit of x-axis as s and the unit of y-axis as β or %, and denote it as the parameter time series analysis coordinate system; For any single task record corresponding to the process association parameter α in the process record of the die casting process in the parameter screening method, based on the relationship between the process progress and time of the die casting process in the single task record, the process progress is plotted in the interval from X=0 to X=T1 in the parameter time series analysis coordinate system, with % as the unit of process progress, and recorded as the process progress curve. The Y-axis unit of the process progress curve is %, and T1 is the standard time of the process corresponding to the single task record. Based on the monitoring records of process-related parameter α in a single task record, the relationship curve between process-related parameter α and time is plotted in the parameter time series analysis coordinate system and recorded as the parameter change curve. The Y-axis corresponding to the parameter change curve is in unit β. The similarity between the process progress curve and the parameter change curve is denoted as the progress correlation value corresponding to the process correlation parameter α.

6. The integrated die-casting automatic production control method according to claim 5, characterized in that, Process parameter analysis methods also include: Based on all single task records corresponding to the process association parameter α in the parameter filtering method, the progress association value corresponding to the process association parameter α in all single task records is obtained respectively, and the maximum value among all progress association values ​​and the variance corresponding to all progress association values ​​are recorded as the maximum association value and association variance between the die casting process and the process association parameter α respectively. Obtain the maximum correlation value and correlation variance between the die casting process and all process correlation parameters, and record the process correlation parameter corresponding to the maximum correlation value as the similarity screening parameter; record the similarity screening parameter with the smallest correlation variance among all similarity screening parameters as the strong correlation parameter of the die casting process; Obtain strongly correlated parameters for all die-casting processes.

7. The integrated die-casting automatic production control method according to claim 6, characterized in that, A model for integrated automated die casting production is constructed based on digital twins, denoted as the die casting twin model; Based on the die-casting twin model, the process simulation method is used to obtain the standard consumption amount for each process and the delayed savings amount for all delayed instances, including: Based on the dimensional data of all equipment in the integrated die-casting production line, a digital twin model corresponding to the integrated die-casting production is constructed and denoted as the die-casting twin model; for any die-casting process YG b YG die casting process b The standard time is denoted as T, and the die-casting process is denoted as YG. b The process simulation method is used, where the standard time is the die-casting process YG. b When all equipment in the die-casting process is operating under theoretical conditions, YG b The time to complete a single task, where b is a positive integer less than or equal to n and greater than or equal to 2; Process simulation methods include: using a die-casting twin model to simulate the die-casting process YG. d Perform k1 single-task simulations, setting the completion time of each single task to T in each simulation; obtain the die-casting process YG after each simulation. b Record the amount of resources consumed as task resources; record the amount of money corresponding to the task resources consumed as resource amount; The average of all simulated resource costs is denoted as YG for the die-casting process. b The standard consumption amount.

8. The integrated die-casting automatic production control method according to claim 7, characterized in that, Process simulation methods also include: YG die casting process b-1 The standard time is denoted as T2. j values ​​are uniformly obtained from (0, T2] and denoted as delayed example values. For any delayed example value: the die-casting twin model is used to analyze the die-casting process YG. b Perform k2 single-task simulations, and set the time to complete a single task to (T + delayed example value) in each simulation; based on the resource consumption of each simulation after k2 simulations, obtain the resource amount corresponding to all simulations, and record the average of all resource amounts as the delayed amount; record the delayed saving amount of the delayed example value as the standard consumption amount minus the delayed amount. Get the deferred savings amount for all deferred instance values.

9. The integrated die-casting automatic production control method according to claim 8, characterized in that, When the integrated die-casting automated production line is running, the production process is controlled based on the strong correlation parameters of all processes and the amount of savings incurred during delays, including: When the integrated die-casting automated production line is running, for any die-casting process YG that is in operation... d When the die casting process YG d During a single task execution, the die-casting process YG is plotted in real time within the parameter time series analysis coordinate system. d The curve showing the relationship between strongly correlated parameters and time is denoted as the real-time judgment curve, where d is a positive integer less than or equal to n-1 and greater than or equal to 1; For the real-time judgment curve at any given moment: based on the die-casting process YG d The parameter change curves corresponding to the strongly correlated parameters are used to extend and fit the real-time judgment curve, and the fitted real-time judgment curve is recorded as the real-time fitted curve.

10. The integrated die-casting automatic production control method according to claim 9, characterized in that, When the integrated die-casting automated production line is running, process control during production, based on the strong correlation parameters of all processes and the amount of savings incurred due to delays, also includes: YG die casting process d The coordinates of the rightmost point in the parameter change curve corresponding to the strongly correlated parameter are marked as (T1, Y1), and the horizontal coordinates of the point with the vertical coordinate of Y1 in the real-time fitting curve are marked as T3; when T3 is less than or equal to T1, the integrated die-casting automatic production is not controlled. When T3 is greater than T1, the value of T3 minus T1 is recorded as the real-time lag value; for the die-casting process YG d+1 To the die casting process YG n For any die casting process, the delay value with the smallest difference from the real-time delay value among all the delay values ​​corresponding to the die casting process is recorded as the real-time delay value, and the delay savings amount of the real-time delay value is recorded as the real-time savings amount. The die-casting process γ corresponding to the largest real-time savings is designated as a delayed process; the time for the delayed process to complete the current single task is extended by the real-time delay value until the delayed process is transferred from die-casting process γ to a die-casting process other than die-casting process.

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