Method and system for automatically writing forging process parameters
By introducing a dynamic judgment mechanism based on deviation index and load risk coefficient, the problem of misjudgment caused by differences in parameter dimensions in the forging process is solved, ensuring the safety and stability of parameter updates, avoiding the risk of equipment damage, and realizing reasonable judgment and safe writing of parameters.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-12-23
- Publication Date
- 2026-04-07
AI Technical Summary
Existing technologies in the forging process suffer from misjudgments in parameter comparison due to the huge differences in the dimensions of different parameters. They cannot simultaneously meet the anti-interference requirements of large numerical parameters and the precise control requirements of small numerical parameters, resulting in misjudgments and safety hazards.
A dynamic judgment mechanism based on deviation index and load risk coefficient is adopted. Combined with the change amplitude coefficient, the parameter writing threshold is dynamically adjusted. By calculating the deviation index and load risk coefficient, the parameter writing threshold is dynamically adjusted. Combined with the change amplitude coefficient, the change amplitude of the parameter item is judged to ensure that the parameter is updated within a safe range.
It enables reasonable determination of parameters under different loads, avoids the risk of misjudgment and equipment damage, and ensures the safety and stability of the forging process.
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Figure CN121808172A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates generally to the field. More particularly, the present application relates to a method and system for automatic writing of forging process parameters. BACKGROUND
[0002] With the development of intelligent manufacturing, forging production lines gradually transform from manual operation to automation and digitization. In modern forging production management, a preset process recipe is usually automatically issued by a host computer (MES system or client) to the controller of an execution device (such as a hydraulic press, an electric screw press, etc.) to realize quick switching of different product production. In order to ensure data consistency, the controller usually needs to compare the target process parameters received with the current parameters stored locally, and only when the parameters are inconsistent, the writing update is performed.
[0003] The forging process involves a variety of parameters with a large magnitude span. For example, the striking force or nominal pressure of a large forging press is usually as high as several thousand tons (such as 40,000 KN), while the holding time or heating time may only be a few seconds (such as 0.5 s), and the control accuracy of the key dimension is in the millimeter level. The existing comparison method usually uses a uniform static fixed threshold (for example, set the difference absolute value greater than 1 as different). For a 40,000 KN pressure parameter, a 1 KN fluctuation is only two ten-thousandths, which is normal measurement noise, but under the fixed threshold, it will be misjudged as parameter change and trigger invalid writing; conversely, for a 0.5 s time parameter, a 1 s difference means 200% error, but under a loose threshold, it may be ignored. Such dimensional inequality makes a single judgment logic unable to meet the anti-interference requirement of large numerical parameters and the precise control requirement of small numerical parameters. Based on this, the existing technology uses a uniform static fixed threshold for parameter comparison, which cannot take into account the physical characteristics of multi-dimensional parameters in the forging environment, and there is a problem that misjudgment may occur for whether the written process parameters are reasonable due to the large difference in different parameter dimensions. SUMMARY
[0004] To solve the above problem that misjudgment may occur for whether the written process parameters are reasonable due to the large difference in different parameter dimensions, the present application provides solutions in the following aspects.
[0005] In a first aspect, a method for automatically writing forging process parameters comprises: obtaining a target process parameter generated by a client in response to obtaining the target process parameter; obtaining a local process parameter stored by an execution device at a current time, wherein the target process parameter and the local process parameter each include n different categories of parameter items, and n is a preset integer; determining whether the parameter items of the same category between the target process parameter and the local process parameter are the same; determining whether each parameter item of the target process parameter is within a preset numerical range in response to at least one category of parameter items between the target process parameter and the local process parameter being different; and updating the local process parameter stored by the execution device at the current time according to the target process parameter in response to each parameter item of the target process parameter being within the preset numerical range.
[0006] Preferably, determining whether the i-th category parameter item of the target process parameter and the i-th category parameter item of the local process parameter are the same comprises: obtaining a preset maximum value and a preset minimum value of the i-th category parameter item of the local process parameter, wherein, i represents an index; and calculating a preset load risk coefficient corresponding to the i-th category, wherein the preset load risk coefficient corresponding to the i-th category is inversely proportional to the preset maximum value of the i-th category parameter item of the local process parameter and is proportional to the i-th category parameter item of the target process parameter. i The formula for calculating the deviation index of the i-th category parameter item is: .
[0007] P A,i The i-th category parameter item of the target process parameter is, P B,i The i-th category parameter item of the local process parameter is, P max The preset maximum value of the i-th category parameter item is, P min The preset minimum value of the i-th category parameter item is, k i The preset load risk coefficient corresponding to the i-th category is; and determining that the i-th category parameter item of the target process parameter and the i-th category parameter item of the local process parameter are different in response to the deviation index of the i-th category parameter item being greater than a preset deviation index threshold.
[0008] Preferably, the formula for calculating the preset load risk coefficient corresponding to the i-th category is: .
[0009] wherein, λ is a preset size of a decay coefficient.
[0010] Preferably, the target process parameter is determined as follows: i Whether the parameter items in each category are within the preset value range includes: calculating the target process parameter. i The coefficient of change of parameter items for each category, where i Represents the index; responds to the target process parameter. i If the parameter items of each category satisfy the formula, and the coefficient of change of the parameter item is less than the preset threshold of change, then the target process parameter is determined to be the [number]th [item]. i Whether the parameters of each category are within the preset numerical range.
[0011] Preferably, the target process parameter is calculated as follows: i The formula for the coefficient of variation of the parameter items in each category is: .
[0012] in, α i For the target process parameter number i The coefficient of variation of the parameter items in each category P A,i For the target process parameter number i Parameters for each category, P B,i For the local process parameter number i Parameters for each category.
[0013] Preferably, an automatic forging process parameter writing method further includes: in response to the fact that the target process parameter and the local process parameter are the same in all categories, the local process parameter stored in the execution device at the current time is not updated.
[0014] Preferably, an automatic forging process parameter writing method further includes: issuing an alarm in response to at least one category of parameter items of the target process parameter being outside a preset numerical range.
[0015] Preferably, an automatic forging process parameter writing method further includes: determining the operating state of the actuator before updating the local process parameters stored in the actuator at the current moment, wherein the operating state includes a working state and a non-working state; and updating the local process parameters stored in the actuator at the current moment when the operating state of the actuator is a non-working state.
[0016] Preferably, updating the local process parameters stored in the execution device at the current time includes: traversing the local process parameters stored in the execution device at the current time, and selecting the first local process parameter from the local process parameters stored in the execution device at the current time. i The values of the parameter items of each type are modified to the values of the parameter items of the i-th category of the target process parameters. i Represents an index.
[0017] In a second aspect, an automatic forging process parameter writing system comprises: a client obtaining target process parameters input by a user and transmitting the target process parameters to a processor; the processor and a memory storing a computer program, the processor executing the computer program to implement an automatic forging process parameter writing method according to any one of the above summary; and an execution mechanism for storing local process parameters and performing forging according to the local process parameters when in a working state.
[0018] The present application has the following beneficial effects: The present application introduces a deviation index and a load risk coefficient to solve the problem that a huge difference in different parameter dimensions may cause misjudgment of whether the written process parameters are reasonable. The present application dynamically adjusts the adaptive mechanism of the judgment weight according to the current load rate of the equipment, tolerates slight fluctuations under low load, and strictly controls the difference to prevent accidents under high load and high risk conditions. At the same time, the simple static threshold judgment is upgraded to dynamic trend judgment by using the change amplitude coefficient, successfully identifying and intercepting the dramatic mutation of parameters caused by operation errors (such as inputting one more digit), thereby avoiding the risk of equipment damage and ensuring the safety of the industrial site. BRIEF DESCRIPTION OF DRAWINGS
[0019] The above and other objects, features and advantages of the exemplary embodiments of the present application will be more apparent from the following detailed description taken in conjunction with the accompanying drawings, in which several embodiments of the present application are shown by way of example, and wherein like reference numerals refer to like elements throughout. In the drawings: Figure 1 is a step flow chart diagram schematically showing an automatic forging process parameter writing method according to an embodiment of the present application; Figure 2 is a structural block diagram schematically showing an automatic forging process parameter writing system according to an embodiment of the present application. DETAILED DESCRIPTION
[0020] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work fall within the scope of the present application.
[0021] The specific embodiments of the present application will be described in detail below with reference to the drawings.
[0022] Figure 1This is a schematic flowchart illustrating the steps of an automatic forging process parameter writing method according to an embodiment of the present invention.
[0023] like Figure 1 As shown, a method for automatically writing forging process parameters includes steps S1 to S2.
[0024] Step S1: In response to obtaining the target process parameters generated by the client, obtain the local process parameters stored in the execution device at the current moment.
[0025] The target process parameters and the local process parameters each include n different categories of parameter items, where n is a preset integer.
[0026] In one embodiment, n=5, and the five different categories of parameters are: size parameters, including; temperature parameters, which is the furnace temperature; time parameters, which is the heating time; first energy parameters, which is the press impact energy; second energy parameters, which is the punch press impact energy; and size parameters, which include size.
[0027] Step S2: Determine whether the target process parameters and the local process parameters have the same category of parameters.
[0028] In one embodiment, determining whether the parameter item of the i-th category of the target process parameter and the parameter item of the i-th category of the local process parameter are the same includes: obtaining the theoretical maximum and theoretical minimum values of the preset size of the parameter item of the i-th category of the local process parameter, wherein, i Represents the index; calculates the index. i Each category has a preset load risk coefficient, where the preset load risk coefficient for the i-th category is inversely proportional to the theoretical maximum value of the i-th category parameter of the local process parameters and directly proportional to the i-th category parameter of the target process parameters; the deviation index of the i-th category parameter is calculated, where the calculation formula is: .
[0029] P A,i For the parameter item of the i-th category of the target process parameters, P B,i For the parameter item of the i-th category of the local process parameters, P max This represents the theoretical maximum value of the i-th category parameter. P min Let be the theoretical minimum value of the i-th category parameter. k ia preset load risk coefficient corresponding to the i-th category; in response to the i-th category parameter item deviating from the index being greater than a preset deviation index threshold, determining that the i-th category parameter item of the target process parameter and the i-th category parameter item of the local process parameter are different.
[0030] It should be noted that in actual industrial forging scenarios, due to the jitter of sensor data or the huge difference in dimensions of different process parameters (for example, the pressure parameter may be as high as several thousand tons, and the time parameter is only a few seconds), directly comparing the numerical difference is easy to cause misjudgment. Therefore, the present scheme introduces a deviation index calculation formula. In the formula, the numerator part The absolute error between the i-th category parameter item of the target process parameter and the i-th category parameter item of the local process parameter is calculated, which intuitively reflects the variation of the numerical value. The denominator part eliminates the influence of different dimensions, that is, normalizes the difference. The load risk coefficient is a dynamic weighting factor, which weights the normalized difference according to the actual working condition risk of the parameter.
[0031] In one embodiment, the formula for calculating the preset load risk coefficient corresponding to the i-th category is: .
[0032] wherein, λ is a preset size of the attenuation coefficient.
[0033] It should be noted that in the operation of the forging equipment, when the process parameter approaches the physical limit of the equipment (for example, the hydraulic machine approaches the maximum tonnage), any slight parameter fluctuation may cause a safety accident; on the contrary, in low load operation, the equipment has higher tolerance to parameter fluctuations.
[0034] When the i-th category parameter item of the target process parameter is small (far from the theoretical maximum value), the ratio is large, resulting in a large value of , so that the preset load risk coefficient corresponding to the i-th category becomes small. That is, in low load working condition, the weight of the deviation index is reduced, the judgment standard of the difference is relaxed, and a certain parameter rough adjustment is allowed.
[0035] Step S3: In response to the i-th category parameter item of the target process parameter and the i-th category parameter item of the local process parameter being different, determining whether each parameter item of the target process parameter is within a preset numerical range.
[0036] In one embodiment, the formula for calculating the change amplitude coefficient of the i-th category parameter item of the target process parameter is: i .
[0037] in, α i For the target process parameter number i The coefficient of variation of the parameter items in each category, P A,i For the target process parameter number i Parameters for each category, P B,i For the local process parameter number i Parameters for each category.
[0038] It should be noted that, to further ensure the smoothness of the parameter writing process, the degree of change of the currently requested parameter relative to the original parameter is quantified by the change amplitude coefficient of the parameter item of the i-th category of the target process parameter. This coefficient no longer focuses on the physical absolute value of the parameter item, but rather on the relative drasticness of the parameter item's change. In the forging process, abrupt operations such as a sudden increase in heating temperature are very dangerous. Therefore, calculating the change amplitude coefficient is a crucial preliminary step in determining whether the parameter is within the preset numerical range. The simple static threshold judgment is upgraded to a dynamic trend judgment. Only when the change amplitude coefficient of the parameter item of the i-th category of the target process parameter is within a reasonable range is the parameter considered to have a smooth transition and be safe, thus allowing subsequent update operations. Based on this, the present invention can avoid the risk of equipment damage caused by operator error in inputting extremely large values (such as entering an extra zero).
[0039] Step S4: In response to each parameter of the target process parameter being within the preset value range, update the local process parameters stored in the execution equipment at the current moment according to the target process parameter.
[0040] In one embodiment, the target process parameter is determined. i Whether the parameter items in each category are within the preset value range includes: calculating the target process parameter. i The coefficient of change of parameter items for each category, where i Represents the index; responds to the target process parameter. i If the parameter items of each category satisfy the formula, and the coefficient of change of the parameter item is less than the preset threshold of change, then the target process parameter is determined to be the [number]th [item]. i Whether the parameters of each category are within the preset numerical range.
[0041] It should be noted that only when the parameter item of the i-th category of the target process parameter meets the physical boundary condition and the variation amplitude coefficient is within the safety threshold, the parameter item of the i-th category of the target process parameter is confirmed to be valid. When all the parameter items of all categories of the target process parameter are valid, the local process parameter stored by the execution device at the current time is updated according to the target process parameter. This logic ensures that the parameter updating process is not only data coverage, but also a controlled operation that meets the process safety specification, thereby maximizing the safety of the execution device and the processing object.
[0042] In one embodiment, the application further comprises: in response to the parameter items of each category between the target process parameter and the local process parameter being the same, not updating the local process parameter stored by the execution device at the current time.
[0043] It should be noted that through the pre-posed comparison algorithm, once it is confirmed that the parameter items of each category between the target process parameter and the local process parameter are the same, the write instruction will be directly intercepted, and the local process parameter stored by the execution device at the current time will be kept unchanged. This not only plays a role in data deduplication, greatly reducing the load of the communication bus, but more importantly, protects the underlying hardware of the execution device. This zero-operation feedback mechanism also makes the system run more stably, avoiding program deadlock or timing chaos caused by invalid writing.
[0044] In one embodiment, the application further comprises: in response to at least one parameter item of the target process parameter being out of the preset value range, an alarm is given.
[0045] In one embodiment, the alarm includes: sending an error code or a status word to the client, popping up a prompt box on the operation interface, and explicitly informing the operator which parameter item of the i-th category of the target process parameter is out of range (whether it is a physical boundary or a too large variation amplitude); triggering the sound and light alarm signal of the execution device at the field end.
[0046] It should be noted that the alarm mechanism transparently presents the results of parameter checking, helping process personnel quickly locate unreasonable places in the recipe. For example, if the operator mistakenly inputs a digit more than one for a parameter item, not only will it be rejected by the protection device, but also an alarm will be given immediately to indicate that the parameter item value is abnormal. This immediate negative feedback mechanism greatly shortens the troubleshooting time and prevents production from stopping due to parameter configuration errors.
[0047] At the same time, the alarm record can also serve as data support for subsequent process optimization, helping managers analyze whether there are some process requirements that often exceed the device capacity, thereby guiding device upgrade or process route adjustment.
[0048] In one embodiment, the application further comprises: determining the running state of the execution mechanism before updating the local process parameters stored by the execution device at the current time, wherein the running state comprises working state and non-working state; updating the local process parameters stored by the execution device at the current time when the running state of the execution mechanism is non-working state.
[0049] It should be noted that the working state usually refers to the stage when the device is performing forging action (such as the slide block is descending, the manipulator is moving, and the heating furnace is heating). If the local process parameters stored by the execution device at the current time are forcibly updated at this time, it is very likely to cause the control logic to be disordered. For example, if the lower dead point position parameter is suddenly modified during the slide block descending process, it may cause the slide block to collide with the mold due to insufficient deceleration; or the temperature setting value is suddenly changed during the heating process, which causes the temperature control PID algorithm to diverge and oscillate.
[0050] Therefore, the write operation is only allowed when the running state of the execution mechanism is non-working state. The non-working state includes standby mode, shutdown mode or specific parameter configuration mode. When the client issues an update request, the I / O state or state register of the execution device is scanned. If it is detected that the device is busy or in motion, the target process parameters are temporarily stored in the buffer and the update task is suspended, or the request is directly rejected and the device is prompted to be in operation. Only after the device completes the current period action and is completely stationary, the system will unlock the write permission, and the old parameters will be overwritten with the target process parameters. This logic completely eliminates the safety hazards caused by dynamically modifying parameters, and meets the highest standard of safety production in industrial field.
[0051] In one embodiment, updating the local process parameters stored by the execution device at the current time comprises: traversing the local process parameters stored by the execution device at the current time, modifying the value of the i-th type of parameter item in the local process parameters stored by the execution device at the current time to the value of the i-th type of parameter item in the target process parameters, i i represents the index.
[0052] It should be noted that, at the physical level of finally performing parameter writing, the embodiment adopts traversal update. Since the target process parameters and the local process parameters usually contain n different categories of parameter items, these parameter items are often stored dispersedly or in blocks in the memory of the execution device. If the overall block copy is adopted, errors may be caused due to the data structure alignment problem. Therefore, the application locks the parameter item of the i-th category of the target process parameters one by one through the index-driven traversal mechanism, finds the corresponding physical address in the execution device, and then accurately writes the value. After each item is written, it can be confirmed that the writing is successful before the next item is written. This ensures that there is no dangerous intermediate state of "half of the parameters are new and half of the parameters are old" in the updating process. If a communication interruption or a writing error occurs in the traversal process, the system can use the index i to record the breakpoint or rollback operation, thereby ensuring the data consistency of the local process parameters. Through such fine control, it is ensured that each process index can be implemented into the control logic of the execution mechanism, and the mapping from the digital formula to the physical execution is realized.
[0053] Figure 2 is a structural block diagram schematically showing a forging process parameter automatic writing system according to an embodiment.
[0054] As shown in Figure 2 , a forging process parameter automatic writing system includes a client, a processor, a memory and an execution mechanism.
[0055] The client is configured to obtain the target process parameters input by a user and transmit the target process parameters to the processor. The memory stores computer program instructions, and when the computer program instructions are executed by the processor, a forging process parameter automatic writing method according to the first aspect of the application is realized. The execution mechanism is configured to store the local process parameters and perform forging according to the local process parameters when the running state is the working state.
[0056] The processor listens to the data writing request from the client. When receiving the new target process parameters, the processor first performs the difference comparison logic: comparing the received target process parameters with the currently used local process parameters item by item. If they are completely consistent, the processor determines that there is no need to update, and the status remains unchanged. If it is found that there is inconsistency in specific data, the processor determines that the process needs to be updated, and then enters the safe writing process.
[0057] In the safe writing process, the processor first detects the real-time running state of the actuator. If the actuator is in the production action, the processor will temporarily suspend the update request until it is detected that the actuator is in a non-production state. Once it is confirmed that the device is in a safe state, the processor not only prepares to issue the target process parameters, but also performs secondary calculation according to the parameters to generate the derived parameters required by the actuator (for example, the grabbing position of the manipulator or the bottom dead point compensation value of the press is automatically calculated according to the input workpiece size).
[0058] Further, the forging process parameter automatic writing system further comprises a touch screen in communication connection with the processor. The touch screen reads the data in the processor in real time, displays the local process parameters and derived parameters at the current time, and provides visual secondary confirmation for the on-site operator, so as to ensure that the actual executed parameters are consistent with the target process parameters input by the client.
[0059] In the present application, the aforementioned memory can be any tangible medium that contains or stores a program, which can be used by or in conjunction with an instruction execution system, device or apparatus. For example, the computer readable storage medium can be any appropriate magnetic storage medium or magneto-optical storage medium, such as resistive random access memory (RRAM), dynamic random access memory (DRAM), static random access memory (SRAM), enhanced dynamic random access memory (EDRAM), high bandwidth memory (HBM), hybrid memory cube (HMC) and the like, or any other medium that can be used to store desired information and can be accessed by an application, a module or both. Any such computer storage medium can be part of a device or accessible or connectable to the device. Any application or module described in the present application can be implemented using computer readable / executable instructions that can be stored or otherwise held by such computer readable medium.
[0060] In the description of the present application, the meaning of "a plurality of", "several" is at least two, for example, two, three or more, etc., unless otherwise explicitly specified.
[0061] While the specification has illustrated and described various embodiments of the application, it will be clear to those of ordinary skill in the art that various changes, modifications, and substitutions can be made thereto without departing from the spirit and scope of the application. It is understood that in the process of practicing the application, various alternatives, modifications, and equivalents can be employed.
Claims
1. A method for automatically writing forging process parameters, characterized in that, include: In response to obtaining the target process parameters generated by the client, the local process parameters stored in the execution device at the current moment are obtained, wherein both the target process parameters and the local process parameters include n parameter items of different categories, where n is a preset integer; Determine whether the target process parameters and the local process parameters are the same in the same category; In response to a difference in at least one category of parameter items between the target process parameter and the local process parameter, it is determined whether each parameter item of the target process parameter is within a preset value range. In response to each parameter of the target process parameter being within a preset value range, the local process parameters stored in the execution equipment at the current moment are updated according to the target process parameters.
2. The method for automatically writing forging process parameters according to claim 1, characterized in that, Determining whether the parameter items of the i-th category of the target process parameter and the parameter items of the i-th category of the local process parameter are the same includes: Obtain the theoretical maximum and minimum values of the preset size of the i-th category parameter item of the local process parameters, where, i Represents an index; Calculate the first i The preset load risk coefficients for each category are as follows: the preset load risk coefficient for the i-th category is inversely proportional to the theoretical maximum value of the i-th category parameter of the local process parameters and directly proportional to the i-th category parameter of the target process parameters. Calculate the deviation index of the i-th category parameter, where the calculation formula is: ； P A,i For the parameter item of the i-th category of the target process parameters, P B,i For the parameter item of the i-th category of the local process parameters, P max This represents the theoretical maximum value of the i-th category parameter. P min Let be the theoretical minimum value of the i-th category parameter. k i The preset load risk coefficient corresponding to the i-th category; In response to the deviation index of the i-th category parameter being greater than a preset deviation index threshold, it is determined that the parameter item of the i-th category of the target process parameter is different from the parameter item of the i-th category of the local process parameter.
3. The method for automatically writing forging process parameters according to claim 2, characterized in that, The formula for calculating the preset load risk coefficient corresponding to the i-th category is: ； in, λ The attenuation coefficient is a preset value.
4. The method for automatically writing forging process parameters according to claim 1, characterized in that, Determine the target process parameters i Whether the parameter items for each category are within the preset numerical range includes: Calculate the target process parameters i The coefficient of change of parameter items for each category, where i Represents an index; In response to the target process parameters i If the parameter items of each category satisfy the formula, and the coefficient of change of the parameter item is less than the preset threshold of change, then the target process parameter is determined to be the [number]th [item]. i Whether the parameters of each category are within the preset numerical range.
5. The method for automatically writing forging process parameters according to claim 1, characterized in that, Calculate the target process parameters i The formula for the coefficient of variation of the parameter items in each category is: ； in, α i For the target process parameter number i The coefficient of variation of the parameter items in each category, P A,i For the target process parameter number i Parameters for each category, P B,i For the local process parameter number i Parameters for each category.
6. The method for automatically writing forging process parameters according to claim 1, characterized in that, Also includes: If the target process parameters and the local process parameters are identical across all categories, the local process parameters stored in the execution device at the current time will not be updated.
7. The method for automatically writing forging process parameters according to claim 1, characterized in that, Also includes: An alarm is triggered in response to at least one category of target process parameters being outside a preset value range.
8. The method for automatically writing forging process parameters according to claim 1, characterized in that, Also includes: Before updating the local process parameters stored in the execution device at the current moment, the operating state of the execution mechanism is determined, wherein the operating state includes the working state and the non-working state; When the actuator is in a non-working state, update the local process parameters stored in the actuator at the current moment.
9. The method for automatically writing forging process parameters according to claim 1, characterized in that, Updating the local process parameters stored in the execution device at the current time includes: traversing the local process parameters stored in the execution device at the current time, and retrieving the first parameter from the local process parameters stored in the execution device at the current time. i The values of the parameter items of each type are modified to the values of the parameter items of the i-th category of the target process parameters. i Represents an index.
10. A system for automatically writing forging process parameters, characterized in that, include: The client obtains the target process parameters input by the user and transmits the target process parameters to the processor; A processor and a memory, the memory storing a computer program, the processor executing the computer program to implement a method for automatically writing forging process parameters as described in any one of claims 1-9; An actuator for storing local process parameters and forging according to said local process parameters when in the working state.