Adaptive pressure control method and platform for power tool stamping parts

Abstract

The present invention discloses an adaptive pressure control method and platform for electric tool stamping parts, which relates to the field of spring manufacturing. The method includes: generating an initialization pressure control plan; monitoring real-time pressure data; analyzing the first pressure time sequence of the first spring point in the real-time pressure data to obtain a first predicted pressure value, the first predicted pressure value having an identification of the first moment; activating a simulation control center to judge and analyze the first predicted pressure value to obtain a first judgment result; if the first judgment result shows that the pressure control of the stamping equipment is abnormal at the first moment, a first adaptive control warning is issued; and adaptively adjusting the initialization pressure control plan before the first moment according to the first adaptive control warning. The method solves the technical problems of insufficient control accuracy and poor product quality stability in the existing pressure control of electric tool stamping parts, and achieves the technical effect of realizing high-precision pressure control and ensuring the stable quality of stamping parts.

Description

Technical Field

[0001] The present application relates to the field related to spring manufacturing, and in particular to an adaptive pressure control method and platform for electric tool stamping parts. Background Art

[0002] In the field of power tool manufacturing, the production of stamping parts is an indispensable part, especially parts such as springs that require precise control of pressure and shape. At present, most production lines for power tool stamping parts adopt a stamping control method based on fixed pressure parameters. This method first presets a series of stamping parameters (such as pressure, stamping speed, holding time, etc.) according to the design requirements and material properties of the stamping parts, and keeps them unchanged throughout the production process. Through a mechanical or electrical control system, ensure that the stamping equipment performs stamping operations according to the preset parameters. However, for parts such as springs that are sensitive to pressure changes, the fixed parameter control method is difficult to achieve high-precision pressure control, which affects the shape and performance of the final product.

[0003] In the current related technologies, the pressure control used for electric tool stamping parts has technical problems such as insufficient control accuracy and poor product quality stability. Summary of the invention

[0004] The present application provides an adaptive pressure control method and platform for electric tool stamping parts. It adopts the design requirements and material properties based on spring stamping parts to formulate an initial pressure control plan, collects pressure data in the stamping process in real time, analyzes the real-time pressure data, predicts the pressure value at a certain moment in the future, and uses a simulation control center to make judgments and discover possible pressure control anomalies in advance. Once the risk of pressure control anomalies is discovered, an adaptive control warning is immediately triggered, and the initialized pressure control plan is automatically adjusted before the anomaly occurs. Technical means such as these achieve high-precision pressure control and ensure the technical effect of stable quality of stamping parts.

[0005] The present application provides an adaptive pressure control method for electric tool stamping parts, comprising:

[0006] Generate an initialization pressure control plan, which refers to an initialization setting plan for the stamping equipment obtained by analyzing the manufacturing size requirements of the spring stamping parts; monitor real-time pressure data, which refers to the real-time pressure data of the spring stamping parts under the action of the stamping equipment; analyze the first pressure time series of the first spring point in the real-time pressure data to obtain a first predicted pressure value, and the first predicted pressure value has an identification of the first moment; activate the simulation control center to judge and analyze the first predicted pressure value to obtain a first judgment result; if the first judgment result shows that the pressure control of the stamping equipment is abnormal at the first moment, issue a first adaptive control warning; and adaptively adjust the initialization pressure control plan before the first moment according to the first adaptive control warning.

[0007] In a possible implementation, the following processing is performed:

[0008] The material types of the spring stamping parts are traversed in the material database to obtain material properties; a characteristic index set is read, and the material properties are screened and calculated in combination with the characteristic index set to obtain a material feedback coefficient; and the initialization pressure control plan is adjusted based on the material feedback coefficient.

[0009] In a possible implementation, the following processing is performed:

[0010] Extracting a first characteristic indicator from the characteristic indicator set; matching a first parameter value of the first characteristic indicator in the material characteristic; calculating and analyzing the first parameter value to obtain a first weight coefficient of the first characteristic indicator; and obtaining the material feedback coefficient based on the first weight coefficient and the first parameter value after normalization.

[0011] In a possible implementation, the following processing is performed:

[0012] A first pressure scatter plot is obtained according to the first pressure time series, and a first spline curve of the first pressure scatter plot is generated; a curve verification strategy is read, and the first spline curve is verified according to the curve verification strategy to obtain a first verification result; if the first verification result shows that the first spline curve meets a predetermined fitting constraint, a first fitting formula of the first spline curve is obtained; and the first moment is input into the first fitting formula to obtain the first predicted pressure value.

[0013] In a possible implementation, the following processing is performed:

[0014] Randomly obtain a first scatter point in the first pressure scatter diagram; calculate a first distance, wherein the first distance refers to a distance from the first scatter point to the first spline curve; if the first distance is less than a distance threshold value, add the first scatter point to a positive point set; if the first distance is greater than the distance threshold value, add the first scatter point to an anti-point set; according to the curve verification strategy, determine whether the total number of scatter points in the positive point set is greater than the total number of scatter points in the anti-point set, and obtain a second judgment result; use the second judgment result as the first verification result, and if the total number of scatter points in the positive point set is greater than the total number of scatter points in the anti-point set, the first spline curve meets the predetermined fitting constraint.

[0015] In a possible implementation, the following processing is performed:

[0016] Rendering the first predicted pressure value to the three-dimensional spring model of the spring stamping part to obtain first simulation information; extracting the first simulation spring size in the first simulation information; and recording the result of comparing the first simulation spring size with the manufacturing size as the first judgment result.

[0017] In a possible implementation, the following processing is performed:

[0018] Extracting a first simulation manufacturing efficiency from the first simulation information; issuing a second adaptive control warning when the first simulation manufacturing efficiency does not reach an efficiency threshold; and adaptively adjusting the initialization pressure control plan before the first moment according to the second adaptive control warning.

[0019] The present application also provides an adaptive pressure control platform for electric tool stamping parts, including:

[0020] An initialization pressure control plan generation module, the initialization pressure control plan generation module is used to generate an initialization pressure control plan, the initialization pressure control plan refers to the initialization setting plan of the stamping equipment obtained by analyzing the manufacturing size requirements of the spring stamping parts; a real-time pressure data monitoring module, the real-time pressure data monitoring module is used to monitor real-time pressure data, the real-time pressure data refers to the real-time pressure data of the spring stamping parts under the action of the stamping equipment; a pressure prediction module, the pressure prediction module is used to analyze the first pressure time series of the first spring point in the real-time pressure data to obtain a first predicted pressure value, the first predicted pressure value has an identifier of the first moment; a predicted pressure value judgment module, the predicted pressure value judgment module is used to activate the simulation control center to judge and analyze the first predicted pressure value to obtain a first judgment result; an adaptive control warning issuing module, the adaptive control warning issuing module is used to issue a first adaptive control warning if the first judgment result shows that the pressure control of the stamping equipment is abnormal at the first moment; a pressure adaptive adjustment module, the pressure adaptive adjustment module is used to adaptively adjust the initialization pressure control plan before the first moment according to the first adaptive control warning.

[0021] The adaptive pressure control method and platform for electric tool stamping parts proposed in this application first generates an initialization pressure control plan, which refers to the initialization setting plan of the stamping equipment obtained by analyzing the manufacturing size requirements of the spring stamping parts, and then monitors the real-time pressure data, which refers to the real-time pressure data of the spring stamping parts under the action of the stamping equipment, and then analyzes the first pressure time series of the first spring point in the real-time pressure data to obtain a first predicted pressure value, which has an identification of the first moment, and then activates the simulation control center to judge and analyze the first predicted pressure value to obtain a first judgment result. If the first judgment result shows that the pressure control of the stamping equipment is abnormal at the first moment, a first adaptive control warning is issued. Finally, according to the first adaptive control warning, the initialization pressure control plan is adaptively adjusted before the first moment, thereby achieving a technical effect of realizing high-precision pressure control and ensuring the stable quality of stamping parts. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the technical solution of the embodiment of the present invention, the accompanying drawings of the embodiment of the present invention are briefly introduced below. A flow chart is used in the present application to illustrate the operations performed by the platform according to the embodiment of the present application. It should be understood that the previous or following operations are not necessarily performed precisely in order. On the contrary, various steps can be processed in reverse order or simultaneously as needed. At the same time, other operations can also be added to these processes, or one or more operations can be removed from these processes.

[0023] Figure 1 A schematic flow chart of an adaptive pressure control method for electric tool stamping parts provided in an embodiment of the present application.

[0024] Figure 2 A schematic diagram of the structure of an adaptive pressure control platform for power tool stamping parts provided in an embodiment of the present application.

[0025] Explanation of the reference numerals: initialization pressure control plan generation module 10 , real-time pressure data monitoring module 20 , pressure prediction module 30 , predicted pressure value judgment module 40 , adaptive control warning issuing module 50 , pressure adaptive adjustment module 60 . DETAILED DESCRIPTION

[0026] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below.

[0027] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings. The described embodiments should not be regarded as limiting the present application. All other embodiments obtained by ordinary technicians in the field without making creative work are within the scope of protection of this application.

[0028] In the following description, reference is made to "some embodiments", which describe a subset of all possible embodiments, but it is understood that "some embodiments" may be the same subset or different subsets of all possible embodiments, and may be combined with each other without conflict, and the terms "first\second" involved are merely to distinguish similar objects and do not represent a specific ordering of objects. The terms "including" and "having" and any variations are intended to cover non-exclusive inclusions, for example, a process, method, platform, product, or server that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or modules that are not clearly listed or inherent to these processes, methods, products, or devices. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those generally understood by technicians in the technical field of this application. The terms used herein are for the purpose of describing the embodiments of the present application only.

[0029] The present application embodiment provides an adaptive pressure control method for electric tool stamping parts, such as Figure 1 As shown, the method includes:

[0030] Step S100, generating an initialization pressure control plan, which refers to the initialization setting plan of the stamping equipment obtained by analyzing the manufacturing size requirements of the spring stamping parts. Specifically, the manufacturing size requirements of the spring stamping parts to be produced are analyzed in detail, including key parameters such as the diameter, length, wire diameter, number of turns, etc. of the spring. Based on these size requirements, the corresponding initialization parameters are set on the stamping equipment, such as stamping speed, pressure, mold position, etc., to ensure that the stamping process is as close to the target size as possible. These initialization parameters are organized into a set of initialization pressure control plans as a benchmark for subsequent stamping processes.

[0031] In a possible implementation, step S100 further includes step S110, traversing the material types of the spring stamping parts in the material database to obtain material properties. Specifically, determine the material types used for the spring stamping parts to be stamped, such as stainless steel, spring steel, alloy steel, etc. In the pre-established material database, traverse and query according to the determined material types. Among them, the material database is a database that stores detailed properties of different types of materials, including detailed physical and chemical properties of various materials, such as elastic modulus, yield strength, tensile strength, hardness, thermal expansion coefficient, etc., for quickly querying and obtaining the physical and chemical properties of materials. Extract various characteristic parameters corresponding to the current stamping part material from the material database. Step S120, read the characteristic index set, and screen and calculate the material characteristics in combination with the characteristic index set to obtain the material feedback coefficient. Specifically, the characteristic index set is a set of material characteristic indicators that have an important impact on the stamping process, such as elastic modulus, yield strength, etc., which are pre-defined according to the needs and experience of the stamping process. Characteristic parameters corresponding to the characteristic index set are screened out from the extracted material characteristics, and these parameters are calculated according to certain rules to obtain a comprehensive material feedback coefficient, which reflects the degree of influence of the material on the pressure control of the stamping process. Step S130, adjust the initialization pressure control plan based on the material feedback coefficient. Specifically, analyze the obtained material feedback coefficient to determine its possible influence on the stamping process. According to the analysis results of the material feedback coefficient, adjust the relevant parameters in the initialization pressure control plan to ensure that the stamping process can proceed smoothly and achieve the expected results. For example, if the material feedback coefficient indicates that the material has a higher hardness or yield strength, it is necessary to increase the initial pressure of the stamping equipment or adjust parameters such as the stamping speed. The physical and chemical properties of different materials vary greatly, and these differences will directly affect the pressure control and results of the stamping process. This implementation method obtains material properties by traversing the material database, and combines the characteristic index set to screen and calculate the material feedback coefficient, accurately evaluating the impact of the material on the stamping process. Based on this feedback coefficient, the initialization pressure control plan is adjusted to ensure that the stamping equipment can automatically adapt and optimize the stamping parameters when facing different materials, thereby improving the manufacturing accuracy and quality stability of stamped parts.

[0032] In a possible implementation, step S120 further includes step S121, extracting the first characteristic indicator from the characteristic indicator set; step S122, matching the first parameter value of the first characteristic indicator in the material characteristic. Specifically, any one characteristic indicator is selected from the characteristic indicator set as the first characteristic indicator, and according to the material characteristic obtained in step S110, the material parameter value corresponding to the first characteristic indicator is searched, and this value represents the specific performance of the material in this characteristic. Step S123, calculating and analyzing the first parameter value to obtain a first weight coefficient of the first characteristic indicator. Specifically, the calculation formula of the first weight coefficient is as follows:

[0033] ;

[0034] in, represents the first weight coefficient of the first characteristic index, represents the normalized result of the first parameter value, It represents the relative importance coefficient of the first characteristic index in the entire characteristic index set. Indicates The normalized parameter value of the characteristic index, Indicates The relative importance coefficient of each characteristic index is Represents the total number of characteristic index sets. The first weight coefficient reflects the importance and influence of the first characteristic index in the stamping process. Step S124, according to the first weight coefficient and the first parameter value after normalization, obtain the material feedback coefficient. Specifically, the normalized first parameter value is multiplied by the first weight coefficient to obtain the contribution value of the first characteristic index to the material feedback coefficient. For multiple characteristic indexes, repeat steps S121 to S123, and sum all contribution values ​​to finally obtain the material feedback coefficient. This implementation method obtains an accurate and comprehensive material feedback coefficient by extracting the characteristic indexes in the characteristic index set and performing detailed calculations and analyses on them. This coefficient not only takes into account the performance of the material in a single characteristic, but also takes into account the relative importance of different characteristics through the setting of weight coefficients. Adjusting the initialization pressure control plan based on this material feedback coefficient can ensure that the stamping equipment can more accurately control the pressure parameters when facing different materials, thereby improving the manufacturing accuracy and quality stability of stamping parts.

[0035] Step S200, monitoring real-time pressure data, the real-time pressure data refers to the real-time pressure data of the spring stamping parts under the action of the stamping equipment. Specifically, a pressure sensor is installed at an appropriate position of the stamping equipment to monitor the pressure changes during the stamping process in real time. The sensor continuously collects the real-time pressure data of the spring stamping parts at various points during the stamping process and transmits the data to the control system.

[0036] Step S300, analyze the first pressure time series of the first spring point in the real-time pressure data to obtain a first predicted pressure value, wherein the first predicted pressure value has an identification of the first moment. Specifically, any one point is selected from a plurality of monitoring points as the first spring point, wherein each spring point has an important influence on the size and quality of the spring stamping. Perform a time series analysis on the real-time pressure data (first pressure time series) at the first spring point to find out its changing trend and law. Based on the result of the time series analysis, a mathematical model is used to predict the pressure value at a certain moment in the future (the first moment), i.e., the first predicted pressure value.

[0037] In a possible implementation, step S300 further includes step S310, obtaining a first pressure scatter plot according to the first pressure time series, and generating a first spline curve of the first pressure scatter plot. Specifically, the first pressure time series data of the first spring point is obtained from the real-time monitoring system, and these data are a series of timestamps and corresponding pressure values. Use these data points (time stamps are x-axis, pressure values ​​are y-axis) to draw a first pressure scatter plot on the chart to intuitively show the trend of pressure change over time. The first pressure scatter plot is fitted by the least squares method to generate a smooth curve, i.e., the first spline curve. The first spline curve describes the trend and characteristics of pressure change. Step S320, reading the curve verification strategy, and verifying the first spline curve according to the curve verification strategy to obtain a first verification result. Specifically, the preset curve verification strategy is read from the system configuration, the first spline curve is compared with the curve verification strategy, and the corresponding statistical test is performed. According to the verification result, it is determined whether the first spline curve meets the predetermined fitting constraint. If it meets, proceed to the next step; if it does not meet, readjust the fitting method or collect more data. Step S330, if the first verification result shows that the first spline curve meets the predetermined fitting constraint, then obtain the first fitting formula of the first spline curve. Specifically, if the first spline curve passes the verification, then a mathematical expression, namely the first fitting formula, is generated based on the mathematical characteristics of the curve. This expression describes the law of pressure change over time in mathematical language. Step S340, input the first moment into the first fitting formula to obtain the first predicted pressure value. Specifically, the first moment (ie, time value) at which the pressure value needs to be predicted is input into the first fitting formula. According to the fitting formula and the input time value, the predicted pressure value at that moment is calculated, namely the first predicted pressure value. This implementation method accurately captures the trend and characteristics of pressure changes by drawing a scatter plot and generating a spline curve, and verifies the spline curve through a curve verification strategy, thereby improving the accuracy of the predicted pressure value.

[0038] In a possible implementation, step S320 further includes step S321, randomly obtaining a first scatter point in the first pressure scatter plot; step S322, calculating a first distance, the first distance being the distance from the first scatter point to the first spline curve. Specifically, a data point is randomly selected from the first pressure scatter plot as the first scatter point, and the data point represents the pressure value at a specific time point. Determine the coordinate value of the first scatter point on the x-axis (time axis), find a point on the first spline curve that has the same x-coordinate as the first scatter point, and obtain the y-coordinate value of the point (i.e., the predicted or fitted pressure value). Calculate the difference between the y-coordinate value of the first scatter point and the y-coordinate value of the corresponding point on the first spline curve, and the difference is the first distance from the first scatter point to the first spline curve (also called the deviation on the y-axis), and the distance reflects the degree of deviation between the scatter point data and the fitted curve. Step S323, if the first distance is less than the distance threshold value, add the first scatter point to the positive point set, and if the first distance is greater than the distance threshold value, add the first scatter point to the negative point set. Specifically, the first distance is compared with a preset distance threshold value. If the first distance is less than the distance threshold value, it is considered that the scattered point is close enough to the spline curve and is added to the positive point set. The positive point set contains data points with a high degree of fit with the fitting curve. If the first distance is greater than the distance threshold value, it is considered that the scattered point deviates far from the spline curve and is added to the anti-point set. The anti-point set contains data points with a large deviation from the fitting curve. Step S324, according to the curve verification strategy, determine whether the total number of scattered points in the positive point set is greater than the total number of scattered points in the anti-point set, and obtain a second judgment result; step S325, use the second judgment result as the first verification result, if the total number of scattered points in the positive point set is greater than the total number of scattered points in the anti-point set, then the first spline curve meets the predetermined fitting constraint. Specifically, the total number of scattered points in the positive point set and the anti-point set is counted. According to the requirements of the curve verification strategy, determine whether the total number of scattered points in the positive point set is greater than the total number of scattered points in the anti-point set, that is, evaluate whether the fitting curve is close enough to most data points. If the total number of scattered points in the positive point set is greater than the total number of scattered points in the reverse point set, the first spline curve is considered to meet the predetermined fitting constraints, that is, the curve can better represent the trend of actual pressure changes. At this time, the second judgment result (first verification result) is marked as "compliant" and the subsequent steps are continued. If the total number of scattered points in the positive point set is not greater than the total number of scattered points in the reverse point set, it is necessary to readjust the fitting method or collect more data to generate a spline curve that is more in line with the actual situation. This implementation method quantitatively evaluates the deviation between the fitting curve and the actual data by randomly selecting scattered points and calculating their distance from the spline curve, divides the scattered points into positive point sets and reverse point sets, and compares the number of the two, intuitively judging whether the fitting curve is close enough to most data points.If the number of positive point sets is greater than that of negative point sets, it means that the fitting curve can better represent the trend of actual pressure changes, thereby improving the accuracy and credibility of the predicted pressure value.

[0039] Step S400, activate the simulation control center to judge and analyze the first predicted pressure value to obtain a first judgment result. Specifically, the first predicted pressure value is transmitted to the simulation control center, which is a computer system that performs virtual simulation of the stamping process and performs analysis and judgment. The simulation control center uses virtual simulation technology to simulate the stamping process and calculate the size and quality of the stamped parts under the predicted pressure value. According to the simulation results, it is judged whether the pressure control of the stamping equipment is normal, that is, whether the predicted pressure value will cause dimensional deviation or quality problems of the stamped parts.

[0040] In a possible implementation, step S400 further includes step S410, rendering the first predicted pressure value to the three-dimensional spring model of the spring stamping part to obtain the first simulation information. Specifically, the simulation control center obtains the three-dimensional digital model of the current spring stamping part, which contains key information such as the geometric shape and material properties of the spring. The first predicted pressure value (with the identification of the first moment) obtained in step S300 is mapped to the corresponding position of the three-dimensional model, and the three-dimensional model with the predicted pressure value is simulated and calculated using simulation software. After the simulation is completed, a series of simulation information about the behavior of the spring under the predicted pressure value is generated, including but not limited to deformation, stress distribution, possible failure mode, etc. Step S420, extracting the first simulated spring size in the first simulation information. Specifically, information directly related to the spring size is screened out from the simulation information generated in step S410, including key size parameters such as the diameter, pitch, free length, etc. of the spring at different positions. Step S430, the result of comparing the first simulated spring size with the manufacturing size is recorded as the first judgment result. Specifically, the first simulated spring size obtained in step S420 is compared with the manufacturing size requirements of the spring stamping part. The comparison process is combined with the allowable error range to determine whether the simulated size is within an acceptable range. Based on the comparison results, it is determined whether the stamping effect of the stamping equipment under the predicted pressure value meets the manufacturing requirements. If the simulation size is significantly different from the manufacturing size, or exceeds the allowable error range, it is considered that there is an abnormality in the pressure control of the stamping equipment. The judgment result is recorded as the first judgment result for adaptive control early warning and adjustment. This implementation method renders the predicted pressure value to a three-dimensional spring model and performs simulation analysis, which intuitively shows the deformation and dimensional changes of the spring during the stamping process, and provides a reliable basis for subsequent pressure control adjustments.

[0041] In a possible implementation, step S400 further includes step S440, extracting the first simulation manufacturing efficiency in the first simulation information. Specifically, after completing the simulation and generating the first simulation information, the information is parsed to extract data related to manufacturing efficiency, including indicators that can reflect manufacturing efficiency, such as stamping cycle time, equipment utilization, and production rate. Based on the extracted data, the first simulation manufacturing efficiency is calculated by weighting multiple factors, that is, a value that can fully reflect the manufacturing efficiency under the current stamping conditions. Step S450, when the first simulation manufacturing efficiency does not reach the efficiency threshold value, a second adaptive control warning is issued. Specifically, the obtained first simulation manufacturing efficiency is compared with the preset efficiency threshold value. The efficiency threshold value is a standard value set after comprehensive consideration of multiple factors such as production requirements, equipment performance, and cost-effectiveness. If the first simulation manufacturing efficiency is lower than the efficiency threshold value, it means that the current stamping conditions cannot meet the production requirements or achieve the optimal manufacturing efficiency, so a second adaptive control warning is issued to prompt the automatic control system to pay attention to the current manufacturing efficiency problem. Step S460, according to the second adaptive control warning, the initialization pressure control plan is adaptively adjusted before the first moment. Specifically, after receiving the second adaptive control warning, an adjustment strategy is formulated according to the current manufacturing efficiency problem and simulation information, including adjusting the stamping pressure, changing the stamping speed, optimizing the stamping path and other measures. According to the formulated adjustment strategy, the initial pressure control plan is modified and adjusted accordingly to improve the manufacturing efficiency while ensuring the quality and production safety of the stamped parts. After the adjustment is completed, the new pressure control plan is applied to the stamping equipment and the implementation effect is monitored. If the manufacturing efficiency is improved and meets the production requirements, it means that the adjustment is effective; if there are still problems, further analysis and adjustment are required. This implementation method predicts the manufacturing efficiency in the simulation stage and issues an early warning in advance. In this way, the automatic control system can adjust and optimize the pressure control plan before the stamping process is affected, thereby avoiding the problem of inefficiency in actual production. This practice improves production efficiency.

[0042] Step S500: If the first judgment result shows that the pressure control of the stamping equipment is abnormal at the first moment, a first adaptive control warning is issued. Specifically, the simulation control center feeds back the judgment result to the control system, and the control system determines whether to issue an early warning based on the judgment result. If the predicted pressure value may cause dimensional deviation or quality problems of the stamped parts, it is judged to be abnormal. If the judgment result shows abnormality, the control system issues a first adaptive control early warning, prompting automatic adjustment of the stamping equipment.

[0043] Step S600, adaptively adjust the initialization pressure control plan before the first moment according to the first adaptive control warning. Specifically, after receiving the first adaptive control warning, the control system enters the adjustment mode. According to the warning content (such as the direction and size of the predicted pressure value deviation), automatically adjust the relevant parameters in the initialization pressure control plan, reset the adjusted parameters on the stamping equipment, so that the subsequent stamping process can be carried out according to the new plan. The embodiment of the present application adopts the design requirements and material properties based on the spring stamping parts to formulate the initial pressure control plan, collect the pressure data in the stamping process in real time, analyze the real-time pressure data, predict the pressure value at a certain moment in the future, and use the simulation control center to make judgments, discover possible pressure control anomalies in advance, and once the risk of pressure control anomalies is found, immediately trigger the adaptive control warning, and automatically adjust the initialization pressure control plan before the anomaly occurs. Technical means such as achieving high-precision pressure control and ensuring the technical effect of stable quality of stamping parts.

[0044] In the above, refer to Figure 1 The adaptive pressure control method for electric tool stamping parts according to an embodiment of the present invention is described in detail. Figure 2 An adaptive pressure control platform for power tool stampings according to an embodiment of the present invention is described.

[0045] The adaptive pressure control platform for electric tool stamping parts according to the embodiment of the present invention is used to solve the technical problems of insufficient control accuracy and poor product quality stability in the existing pressure control of electric tool stamping parts, so as to achieve high-precision pressure control and ensure the technical effect of stable quality of stamping parts. The adaptive pressure control platform for electric tool stamping parts includes: an initialization pressure control plan generation module 10, a real-time pressure data monitoring module 20, a pressure prediction module 30, a predicted pressure value judgment module 40, an adaptive control warning issuance module 50, and a pressure adaptive adjustment module 60.

[0046] The initialization pressure control plan generation module 10 is used to generate an initialization pressure control plan, which refers to the initialization setting plan of the stamping equipment obtained by analyzing the manufacturing size requirements of the spring stamping parts; the real-time pressure data monitoring module 20 is used to monitor the real-time pressure data, which refers to the real-time pressure data of the spring stamping parts under the action of the stamping equipment; the pressure prediction module 30 is used to analyze the first pressure time series of the first spring point in the real-time pressure data to obtain a first predicted pressure value, and the first predicted pressure value has an identification of the first moment; the predicted pressure value judgment module 40 is used to activate the simulation control center to judge and analyze the first predicted pressure value to obtain a first judgment result; the adaptive control warning issuing module 50 is used to issue a first adaptive control warning if the first judgment result shows that the pressure control of the stamping equipment is abnormal at the first moment; the pressure adaptive adjustment module 60 is used to adaptively adjust the initialization pressure control plan before the first moment according to the first adaptive control warning.

[0047] The specific configuration of the initialization pressure control plan generation module 10 will be described in detail below. As described above, the initialization pressure control plan generation module 10 may further include: a material property acquisition unit for traversing the material types of the spring stamping part in the material database to obtain material properties; a material feedback coefficient acquisition unit for reading a characteristic index set, and screening and calculating the material properties in combination with the characteristic index set to obtain a material feedback coefficient; and an initialization pressure control plan adjustment unit for adjusting the initialization pressure control plan based on the material feedback coefficient.

[0048] Among them, the material feedback coefficient acquisition unit may further include: a first characteristic index extraction subunit is used to extract the first characteristic index in the characteristic index set; a first parameter value matching subunit is used to match the first parameter value of the first characteristic index in the material characteristic; a first weight coefficient calculation subunit is used to calculate and analyze the first parameter value to obtain the first weight coefficient of the first characteristic index; the material feedback coefficient acquisition subunit is used to obtain the material feedback coefficient according to the first weight coefficient and the first parameter value after normalization.

[0049] The specific configuration of the pressure prediction module 30 will be described in detail below. As described above, the pressure prediction module 30 may further include: a first spline curve generation unit for obtaining a first pressure scatter plot according to the first pressure time series, and generating a first spline curve of the first pressure scatter plot; a spline curve verification unit for reading a curve verification strategy, and verifying the first spline curve according to the curve verification strategy to obtain a first verification result; a first fitting formula acquisition unit for obtaining a first fitting formula of the first spline curve if the first verification result shows that the first spline curve meets a predetermined fitting constraint; and a first predicted pressure value acquisition unit for inputting the first moment into the first fitting formula to obtain the first predicted pressure value.

[0050] Among them, the spline curve verification unit may further include: a first scatter point random acquisition subunit is used to randomly acquire a first scatter point in the first pressure scatter point map; a first distance calculation subunit is used to calculate a first distance, and the first distance refers to the distance from the first scatter point to the first spline curve; a positive and negative point set adding subunit is used to add the first scatter point to the positive point set if the first distance is less than the distance threshold value, and to add the first scatter point to the negative point set if the first distance is greater than the distance threshold value; a total scatter point judgment subunit is used to judge whether the total number of scatter points in the positive point set is greater than the total number of scatter points in the negative point set according to the curve verification strategy, and obtain a second judgment result; a predetermined fitting constraint judgment subunit is used to use the second judgment result as the first verification result, if the total number of scatter points in the positive point set is greater than the total number of scatter points in the negative point set, then the first spline curve meets the predetermined fitting constraint.

[0051] The specific configuration of the predicted pressure value judgment module 40 will be described in detail below. As described above, the predicted pressure value judgment module 40 may further include: a first simulation information acquisition unit for rendering the first predicted pressure value to the three-dimensional spring model of the spring stamping part to obtain first simulation information; a first simulation spring size extraction unit for extracting the first simulation spring size in the first simulation information; and a size comparison unit for recording the result of comparing the first simulation spring size with the manufacturing size as the first judgment result.

[0052] Among them, the predicted pressure value judgment module 40 may further include: a first simulation manufacturing efficiency extraction unit is used to extract the first simulation manufacturing efficiency in the first simulation information; a second adaptive control warning issuing unit is used to issue a second adaptive control warning when the first simulation manufacturing efficiency does not reach the efficiency threshold value; an initialized pressure control plan adaptive adjustment unit is used to adaptively adjust the initialized pressure control plan before the first moment according to the second adaptive control warning.

[0053] The adaptive pressure control platform for electric tool stamping parts provided in the embodiments of the present invention can execute the adaptive pressure control method for electric tool stamping parts provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0054] Although the present application makes various references to certain modules in the platform according to the embodiments of the present application, any number of different modules may be used and run on the user terminal and / or server, and the various units and modules included are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be implemented; in addition, the specific names of the functional units are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of the present invention.

[0055] The above specific implementation manner does not constitute a limitation to the protection scope of the present application. It should be understood by those skilled in the art that various modifications, combinations and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present application should be included in the protection scope of the present application. In some cases, the actions or steps recorded in the present application can be performed in an order different from that in the embodiment and can still achieve the desired results. In addition, the process depicted in the accompanying drawings does not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

Claims

1. An adaptive pressure control method for electric tool stamping parts, characterized in that: include: Generate an initialization pressure control plan, wherein the initialization pressure control plan refers to an initialization setting plan for the stamping equipment obtained by analyzing the manufacturing size requirements of the spring stamping part; Monitoring real-time pressure data, wherein the real-time pressure data refers to the real-time pressure data of the spring stamping part under the action of the stamping equipment; Analyze a first pressure time series of a first spring point in the real-time pressure data to obtain a first predicted pressure value, wherein the first predicted pressure value has an identifier of a first moment; activating the simulation control center to perform judgment and analysis on the first predicted pressure value to obtain a first judgment result; If the first judgment result shows that the pressure control of the stamping equipment is abnormal at the first moment, a first adaptive control warning is issued; Adaptively adjusting the initialization pressure control plan before the first moment according to the first adaptive control warning; Rendering the first predicted pressure value to a three-dimensional spring model of the spring stamping part to obtain first simulation information; Extracting a first simulated spring size from the first simulation information; The result of comparing the first simulated spring size with the manufacturing size is recorded as the first judgment result.

2. The adaptive pressure control method for electric tool stamping parts according to claim 1, characterized in that: Also includes: Traversing the material types of the spring stamping part in a material database to obtain material properties; Reading a characteristic index set, and screening and calculating the material characteristics in combination with the characteristic index set to obtain a material feedback coefficient; The initialization pressure control plan is adjusted based on the material feedback coefficient.

3. The adaptive pressure control method for electric tool stamping parts according to claim 2, characterized in that: include: Extracting a first characteristic indicator from the characteristic indicator set; matching a first parameter value of the first characteristic indicator in the material characteristic; Calculating and analyzing the first parameter value to obtain a first weight coefficient of the first characteristic index; The material feedback coefficient is obtained according to the first weight coefficient and the first parameter value after normalization.

4. The adaptive pressure control method for electric tool stamping parts according to claim 1, characterized in that: include: Draw a first pressure scatter plot according to the first pressure time series, and generate a first spline curve of the first pressure scatter plot; Reading a curve verification strategy, and verifying the first spline curve according to the curve verification strategy to obtain a first verification result; If the first verification result shows that the first spline curve meets the predetermined fitting constraint, obtaining a first fitting formula of the first spline curve; The first moment is input into the first fitting formula to obtain the first predicted pressure value.

5. The adaptive pressure control method for electric tool stamping parts according to claim 4, characterized in that: include: Randomly obtain a first scatter point in the first pressure scatter plot; Calculating a first distance, where the first distance refers to a distance from the first scattered point to the first spline curve; If the first distance is less than a distance threshold, the first scattered point is added to a positive point set; if the first distance is greater than the distance threshold, the first scattered point is added to a negative point set; According to the curve verification strategy, determining whether the total number of scattered points of the positive point set is greater than the total number of scattered points of the negative point set, and obtaining a second determination result; The second judgment result is used as the first verification result. If the total number of scattered points in the positive point set is greater than the total number of scattered points in the negative point set, the first spline curve meets the predetermined fitting constraint.

6. The adaptive pressure control method for electric tool stamping parts according to claim 1, characterized in that: Also includes: extracting a first simulation manufacturing efficiency from the first simulation information; When the first simulation manufacturing efficiency does not reach the efficiency threshold value, issuing a second adaptive control warning; The initialization pressure control plan is adaptively adjusted before the first moment according to the second adaptive control warning.

7. Adaptive pressure control platform for power tool stamping parts, characterized in that: The platform is used to implement the adaptive pressure control method for electric tool stamping parts according to any one of claims 1 to 6, and the platform includes: An initialization pressure control plan generation module, the initialization pressure control plan generation module is used to generate an initialization pressure control plan, the initialization pressure control plan refers to an initialization setting plan for the stamping equipment obtained by analyzing the manufacturing size requirements of the spring stamping parts; A real-time pressure data monitoring module, wherein the real-time pressure data monitoring module is used to monitor real-time pressure data, wherein the real-time pressure data refers to the real-time pressure data of the spring stamping part under the action of the stamping equipment; A pressure prediction module, the pressure prediction module is used to analyze a first pressure time series of a first spring point in the real-time pressure data to obtain a first predicted pressure value, wherein the first predicted pressure value has an identifier of a first moment; A predicted pressure value judgment module, the predicted pressure value judgment module is used to activate the simulation control center to judge and analyze the first predicted pressure value to obtain a first judgment result; an adaptive control warning issuing module, the adaptive control warning issuing module being used to issue a first adaptive control warning if the first judgment result shows that the pressure control of the stamping equipment is abnormal at the first moment; A pressure adaptive adjustment module is used to adaptively adjust the initialized pressure control plan before the first moment according to the first adaptive control warning.

Images