A knuckle forging parameter real-time optimization adjusting method and system and a storage medium

Abstract

In order to solve the problem that the knuckle initial temperature is different, the temperature change in the final forging process is different, and the knuckles forged by the same parameters have size deviation, a knuckle forging parameter real-time optimization adjusting method and system and a storage medium are provided, the knuckles are divided into fork type, disc type and rod type and mathematical modeling is carried out, forming a fork type part forging model, a disc type part forging model and a rod type part forging model, collecting qualified historical data of the three part models, storing the historical data into a cloud database, forming a standard fork type part forging model, a standard disc type part forging model and a standard rod type part forging model in the cloud database; the servo electric screw press adjusts the pre-forging of the knuckle preform, and the forging parameter model of the servo electric screw press about the temperature of the knuckle preform is established, so that it can change according to the initial temperature value, and the service effect and life of the knuckle are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of mechanical forging, and in particular to a method, system and storage medium for real-time optimization and adjustment of steering knuckle forging parameters. Background Art

[0002] Steering knuckles are geometrically complex and are considered composite forgings, consisting of a fork, a disc, and a rod. The forging process must take into account the forming characteristics of all three forgings, making them recognized by the forging industry as complex forgings.

[0003] It has three main functions: 1. It connects to the front wheel axle, bearing the forces and torques transmitted by the axle; 2. It acts as a rotating component for steering; and 3. It absorbs vibrations during travel. As the component with the highest concentration of stress and the most complexity, it is directly related to the safety performance of the device, and therefore its design standards and manufacturing process are extremely strict.

[0004] The general forging process for a steering knuckle is as follows: material testing - blanking (sawing machine) - heating - blanking - pre-forging (servo electric screw press) - final forging (servo electric screw press) - trimming - alignment - cooling followed by heat treatment. The blanking process for vertical forging is: upsetting - closed extrusion, while the blanking process for horizontal forging is: flattening - turning and flattening.

[0005] During final forging, the different initial temperatures of the steering knuckle and the different temperature changes during the final forging process will cause dimensional deviations in the steering knuckles forged with the same parameters, thereby affecting the performance and life of the steering knuckle to a certain extent. Summary of the Invention

[0006] In order to solve the problem that the different initial temperatures of the steering knuckle and the different temperature changes during the final forging process lead to dimensional deviations of the steering knuckles forged with the same parameters, the present invention provides a method, system and storage medium for real-time optimization and adjustment of the forging parameters of the steering knuckle. The technical solutions adopted are as follows:

[0007] A method for real-time optimization and adjustment of steering knuckle forging parameters, characterized by comprising the following steps:

[0008] S1. Divide the steering knuckle into three parts: a fork, a disc, and a rod. Perform mathematical modeling on the fork, disc, and rod structures to form a forging model of the fork, disc, and rod, respectively.

[0009] S2. Collect historical data of qualified fork forging models, disc forging models, and rod forging models, store the historical data in a cloud database, and generate standard fork forging models, standard disc forging models, and standard rod forging models in the cloud database;

[0010] S3, adjusting the servo electric screw press to pre-forge the steering knuckle preform;

[0011] S4. Establishing a forging parameter model of a servo electric screw press regarding the temperature of the steering knuckle preform, setting a real-time temperature detection module, and adjusting the parameters of the servo electric screw press according to the temperature of the preform and the forging parameter model, wherein the adjustment parameters include pressure f, speed v, and stroke s;

[0012] S5, a servo electric screw press performs final forging on the steering knuckle preform using the pressure f, speed v, and stroke s parameters adjusted in step S4;

[0013] S6. Measure the final forging data of the steering knuckle, which is divided into fork final forging data, disc final forging data, and rod final forging data, and send all final forging data to the monitoring platform in real time through the intelligent monitoring network;

[0014] S7. Storing all final forging data of the steering knuckle in a database, and comparing the final forging data of each part of the steering knuckle with the standard forging model of each part in the cloud database, and issuing a monitoring signal based on the comparison result, wherein the monitoring signal includes a normal forging signal and an abnormal forging signal;

[0015] If the monitoring signal sends a normal forging signal, the steering knuckle is judged to be qualified, the steering knuckle is cooled and then heat treated, the steering knuckle final forging data is updated in the cloud database, and the forging models of the standard fork type part, the standard disc type part, and the standard rod type part are updated;

[0016] If the monitoring signal sends out a forging abnormality signal, the steering knuckle is judged to be unqualified, and the parameters of the servo electric screw press are adjusted to compensate and perform dimensional compensation on the steering knuckle. The dimensional compensation includes trimming or extrusion. After the dimensional compensation is completed, the steering knuckle is cooled and then heat treated.

[0017] Furthermore, in step S1, the mathematical modeling of the rod, disk, and rod parts includes the following steps:

[0018] S101 and the fork-like part are irregular cylinders, which are modeled using a nonlinear model. The cross-sectional scan is generated from bottom to top. i , K i The interval is p, J i The boundary curve fitting equation of section Ki, i=1,2,3…,100, is paired into an array (J1,J2,…,J 100 ), and record (J1, J2, …, J 100 ), the central trajectory is (J1, J2, ..., J 100 ) corresponding to the fork part;

[0019] S102, modeling the disc portion using a linear model, measuring the thickness h and radius R of the disc portion, pairing them into an array (h, R), and recording the center trajectory of (h, R), where the center trajectory is the disc portion corresponding to (h, R);

[0020] S103, modeling the rod portion using a linear model, measuring the length k of the rod portion and the radius r of the rod portion, pairing them into an array (k, r), and recording the center trajectory of (k, r), where the center trajectory is the rod portion corresponding to (k, r);

[0021] S104: When modeling, the measured values ​​obtained in steps S101-S103 are sent to the controller in the control platform. The controller calculates the input values ​​in real time to obtain the data required to be measured in each model.

[0022] Furthermore, in step S2, the following iterative formula is used to form the standard fork-type partial forging model, the standard disc-type partial forging model, and the standard rod-type partial forging model in the cloud database:

[0023] (1)

[0024] (2)

[0025] (3)

[0026] (4)

[0027] (5)

[0028] Among them, S1, T1, V1, X1, Y1 are all 0, (J1, J2, ..., J 100 ) traverses the fork-type data stored in the cloud database, (h, R) traverses the disk-type data stored in the cloud database, and (k, r) traverses the rod-type data stored in the cloud database. The final values ​​are assigned to S, T, V, X, and Y respectively. The standard forging model of the fork-type part is S, which is a 100-dimensional vector. The standard forging model of the disk-type part is (T, V), and the standard forging model of the rod-type part is (X, Y).

[0029] Furthermore, in step S7, updating the standard fork-like partial forging model, the standard disc-like partial forging model, and the standard rod-like partial forging model includes the following method:

[0030] For the historical data of the newly generated fork-type partial forging model, disc-type partial forging model and rod-type partial forging model in the cloud database, an iterative formula is used to obtain a new standard fork-type partial forging model, a standard disc-type partial forging model and a standard rod-type partial forging model, and update them in the cloud database.

[0031] Furthermore, in step S4, the method for establishing the forging parameter model of the steering knuckle preform temperature by the servo electric screw press is as follows:

[0032] S401, the temperature of the steering knuckle preform is Z, and the adjustment parameters of the servo electric screw press are pressure f, speed v, and stroke s;

[0033] S402, simulate and generate multiple groups of S, T, V, X and Y under the conditions of f, v, s and Z;

[0034] S403, using a computer to generate a multi-dimensional discontinuous function image of S, T, V, X and Y under the conditions of f, v, s and Z;

[0035] S404. Using the continuity of the function, the multidimensional discontinuous function image is compensated to a multidimensional continuous function image, and S, T, V, X and Y under the conditions of continuous values ​​of f, v, s and Z are obtained to complete the model establishment.

[0036] Furthermore, in step S7, the final forging data of each part of the steering knuckle is compared with the standard forging model of each part in the cloud database using the following formula:

[0037] (6)

[0038] Where ω is the forging error, S i is the i-th component of S, G i is the final forging section equation of the steering yoke part, a is the final forging thickness of the steering knuckle disc part, b is the final forging radius of the steering knuckle disc part, c is the final forging radius of the steering knuckle rod part, d is the final forging length of the steering knuckle rod part, and α is the historical allowable error;

[0039] If ω is greater than α, it is judged as unqualified;

[0040] If ω is less than α, it is considered qualified.

[0041] Furthermore, the method for compensating and adjusting the parameters of the servo electric screw press in step S7 is as follows:

[0042] Revise the parameters of the servo electric screw press so that f, v, and s become f+Δf, v+Δv, and s+Δs, create new steering knuckle data, and calculate the integral of the deviation from S, T, V, X, and Y to obtain A;

[0043] When A is less than α, use f+Δf, v+Δv and s+Δs. Otherwise, change f, v and s to f+1 / 2Δf, v+1 / 2Δv and s+1 / 2Δs. Repeat the above operation until the parameters of the servo electric screw press that meet the requirements are obtained.

[0044] Furthermore, the method for performing size compensation on the steering knuckle in step S7 is as follows:

[0045] Divide the steering knuckle into three parts: fork, disc and rod;

[0046] In each area, it is determined whether to perform trimming or extrusion. If it is determined to be trimming, trimming compensation is performed; if it is determined to be extrusion, extrusion compensation is performed;

[0047] The judgment formula is:

[0048] (7)

[0049] (8)

[0050] (9)

[0051] in,

[0052] M is the judgment formula for the fork part. If M>0, the trimming operation is performed. If M<0, the extrusion compensation is performed.

[0053] N is the judgment formula for the disc part. If N < 0, the trimming operation is performed; if N > 0, the extrusion operation is performed.

[0054] Q is the judgment formula for the rod part. If Q < 0, the trimming operation is performed; if Q > 0, the extrusion operation is performed.

[0055] A steering knuckle forging parameter real-time optimization and adjustment system, used to implement the above-mentioned steering knuckle forging parameter real-time optimization and adjustment method, comprising:

[0056] A modeling module, the modeling module is used to perform mathematical modeling on the fork, the disc and the rod, and to establish a forging parameter model of the servo electric screw press regarding the temperature of the steering knuckle preform;

[0057] A monitoring platform, which is used to compare the final forging data of each part of the steering knuckle with the standard forging model of each part in the cloud database and issue a monitoring signal based on the comparison result;

[0058] An adjustment and compensation module, the adjustment and compensation module is used to compensate and adjust the parameters of the servo electric screw press and the size of the steering knuckle;

[0059] A network communication module, the network communication module including a remote data communication module provided on the servo electric screw press and a near-end data communication module provided on the monitoring platform, the near-end data communication module being provided with a plurality of communication interfaces corresponding one-to-one with the remote data communication modules;

[0060] The communication detection module is used to perform network link communication detection between the near-end data communication module and the far-end data communication module.

[0061] A storage medium containing a computer program, wherein when executed by one or more computers, the computer program causes the computers to perform the following operations:

[0062] The operation includes the above-mentioned method for real-time optimization and adjustment of steering knuckle forging parameters.

[0063] The beneficial effects of the present invention are:

[0064] 1. By establishing a forging parameter model of the servo electric screw press regarding the temperature of the steering knuckle preform, the parameters of the servo electric screw press are set for steering knuckles with different initial temperature values, so that it can be changed according to the initial temperature value, thereby forging a steering knuckle with a size that is more in line with the precision, thereby improving the use effect and life of the steering knuckle;

[0065] 2. Considering the complexity of the steering knuckle structure, the steering knuckle is divided into three parts for classification modeling, so that the obtained data is more targeted and more in line with the actual situation. In the process of adjusting parameters, the influence of temperature changes in the final forging process on the forging size of the steering knuckle is taken into consideration, and a feedback adjustment mechanism is set up. On the basis of the existing forging parameters, parameter compensation is performed, and compensatory adjustments are made to the steering knuckle that exceeds the error range. This can not only avoid waste, but also further strengthen the precision control and further improve the use effect and life of the steering knuckle. BRIEF DESCRIPTION OF THE DRAWINGS

[0066] Figure 1 Schematic diagram of the process structure of the present invention

[0067] Figure 2 Mathematical modeling methods for rods, disks, and rods

[0068] Figure 3 Method for establishing forging parameter model of steering knuckle preform temperature for servo electric screw press DETAILED DESCRIPTION

[0069] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0070] like Figure 1-3 The steering knuckle forging parameter real-time optimization and adjustment method shown includes the following steps:

[0071] S1. Divide the steering knuckle into three parts: a fork, a disc, and a rod. Perform mathematical modeling on the fork, disc, and rod structures to form a forging model of the fork, disc, and rod, respectively.

[0072] Specifically, the mathematical modeling method for the fork, disk, and rod structures includes the following steps:

[0073] S101 and the fork-like part are irregular cylinders, which are modeled using a nonlinear model. The cross-sectional scan is generated from bottom to top. i , K i The interval is p, J i The boundary curve fitting equation of section Ki, i=1,2,3…,100, is paired into an array (J1,J2,…,J 100 ), and record (J1, J2, …, J 100 ), the central trajectory is (J1, J2, ..., J 100 ) corresponding to the fork part;

[0074] When fitting a curve, select one of the K i Establish a rectangular coordinate system and convert all the remaining K i are projected into this coordinate system, in which all K i The boundary equations, with any K i For example, the boundary curve is evenly divided into 100 segments. For each segment, a point is taken at equal intervals on it to obtain the coordinates of the point. The fitting equation of the segment can be obtained by the least squares method. Similarly, the fitting equations of the 100 segment segments can be obtained. By splicing all the equations, K can be obtained. i The fitting equation of the boundary curve J i , and all K can be obtained similarly i The fitting equation of the boundary curve J i ;

[0075] S102, modeling the disc portion using a linear model, measuring the thickness h and radius R of the disc portion, pairing them into an array (h, R), and recording the center trajectory of (h, R), where the center trajectory is the disc portion corresponding to (h, R);

[0076] S103, modeling the rod portion using a linear model, measuring the length k of the rod portion and the radius r of the rod portion, pairing them into an array (k, r), and recording the center trajectory of (k, r), where the center trajectory is the rod portion corresponding to (k, r);

[0077] S104: When modeling, the measured values ​​obtained in steps S101-S103 are sent to the controller in the control platform. The controller calculates the input values ​​in real time to obtain the data required to be measured in each model.

[0078] S2. Collect historical data of qualified fork forging models, disc forging models, and rod forging models, store the historical data in a cloud database, and generate standard fork forging models, standard disc forging models, and standard rod forging models in the cloud database;

[0079] The following iterative formula is used to form the standard fork-type partial forging model, the standard disc-type partial forging model, and the standard rod-type partial forging model in the cloud database:

[0080] (1)

[0081] (2)

[0082] (3)

[0083] (4)

[0084] (5)

[0085] Among them, S1, T1, V1, X1, Y1 are all 0, (J1, J2, ..., J 100 ) traverses the fork-type data stored in the cloud database, (h, R) traverses the disk-type data stored in the cloud database, and (k, r) traverses the rod-type data stored in the cloud database. The final values ​​are assigned to S, T, V, X, and Y respectively. The standard forging model of the fork-type part is S, which is a 100-dimensional vector. The standard forging model of the disk-type part is (T, V), and the standard forging model of the rod-type part is (X, Y).

[0086] For the historical data of the newly generated fork-type partial forging model, disc-type partial forging model and rod-type partial forging model in the cloud database, the above-mentioned iterative formula is used to obtain the new standard fork-type partial forging model, standard disc-type partial forging model and standard rod-type partial forging model, and update them in the cloud database. Through continuous iteration, all values ​​can be updated in the standard model in the cloud database, so that they can participate in the correction of the standard model.

[0087] S3. Adjust the servo electric screw press to pre-forge the steering knuckle preform.

[0088] S4. Establishing a forging parameter model of a servo electric screw press regarding the temperature of the steering knuckle preform, setting a real-time temperature detection module, and adjusting the parameters of the servo electric screw press according to the temperature of the preform and the forging parameter model, wherein the adjustment parameters include pressure f, speed v, and stroke s;

[0089] The method for establishing a forging parameter model of a servo electric screw press regarding the temperature of a steering knuckle preform comprises the following steps:

[0090] S401, the temperature of the steering knuckle preform is Z, and the adjustment parameters of the servo electric screw press are pressure f, speed v, and stroke s;

[0091] S402, simulate and generate multiple groups of S, T, V, X and Y under the conditions of f, v, s and Z;

[0092] S403, using a computer to generate a multi-dimensional discontinuous function image of S, T, V, X and Y under the conditions of f, v, s and Z;

[0093] S404, using function continuity, compensating the multidimensional discontinuous function image into a multidimensional continuous function image, obtaining S, T, V, X, and Y under the conditions of continuous values ​​of f, v, s, and Z, and completing the model establishment;

[0094] It should be noted that when using this model, first, according to the target requirements, the S, T, V, X and Y required for steering are obtained, and according to the temperature Z of the steering knuckle preform, the values ​​of f, v, and s are obtained from the multidimensional continuous function image of the temperature forging parameter model, and the pressure f, speed v and stroke s of the servo electric screw press are set according to the values. However, it should be noted that during the final forging process, the temperature will change, so the S, T, V, X and Y ultimately caused by the values ​​of f, v, and s will deviate from the target values. Therefore, it is necessary to compare with the standard forging model of each part. If the error is within the allowable range, it is qualified, and if the error is outside the allowable range, compensation is required. The specific compensation steps can be referred to step S7.

[0095] S5, a servo electric screw press performs final forging on the steering knuckle preform using the pressure f, speed v, and stroke s parameters adjusted in step S4;

[0096] S6. Measure the final forging data of the steering knuckle, which is divided into fork final forging data, disc final forging data, and rod final forging data, and send all final forging data to the monitoring platform in real time through the intelligent monitoring network;

[0097] S7. All final forging data of the steering knuckle are stored in the database. At the same time, the final forging data of each part of the steering knuckle are compared with the standard forging model of each part in the cloud database. The final forging data of each part of the steering knuckle are compared with the standard forging model of each part in the cloud database using the following formula:

[0098] (6)

[0099] Where ω is the forging error, S i is the i-th component of S, G i is the final forging section equation of the steering yoke part, a is the final forging thickness of the steering knuckle disc part, b is the final forging radius of the steering knuckle disc part, c is the final forging radius of the steering knuckle rod part, d is the final forging length of the steering knuckle rod part, and α is the historical allowable error;

[0100] The integral accumulates the errors in the three parts of the steering knuckle and obtains , α is obtained by averaging using the same formula, and α is calculated using qualified products as samples;

[0101] If ω is greater than α, it is judged as unqualified;

[0102] If ω is less than α, it is considered qualified.

[0103] A monitoring signal is issued based on the comparison result, and the monitoring signal includes a normal forging signal and an abnormal forging signal:

[0104] If the monitoring signal sends a normal forging signal, the steering knuckle is judged to be qualified, the steering knuckle is cooled and then heat treated, the steering knuckle final forging data is updated in the cloud database, and the forging models of the standard fork type part, the standard disc type part, and the standard rod type part are updated;

[0105] The following method is used to update the standard fork-type partial forging model, the standard disc-type partial forging model and the standard rod-type partial forging model: for the historical data of the newly generated fork-type partial forging model, the disc-type partial forging model and the rod-type partial forging model in the cloud database, an iterative formula is used to obtain a new standard fork-type partial forging model, the standard disc-type partial forging model and the standard rod-type partial forging model, and the new model is updated in the cloud database.

[0106] If the monitoring signal sends out a forging abnormality signal, the steering knuckle is judged to be unqualified, and the parameters of the servo electric screw press are adjusted to compensate for the size of the steering knuckle. The size compensation includes trimming or extrusion. After the size compensation is completed, the steering knuckle is cooled and then heat treated;

[0107] The method for compensating and adjusting the parameters of the servo electric screw press is as follows:

[0108] Revise the parameters of the servo electric screw press so that f, v, and s become f+Δf, v+Δv, and s+Δs, and make new steering knuckle data. Use formula (6) to calculate the deviation integral with S, T, V, X, and Y to obtain A. When A is less than α, use f+Δf, v+Δv, and s+Δs. Otherwise, change f, v, and s to f+1 / 2Δf, v+1 / 2Δv, and s+1 / 2Δs. Repeat the above operation until the parameters of the servo electric screw press that meet the requirements are obtained.

[0109] The steering knuckle size compensation method is as follows:

[0110] First, the steering knuckle is evenly divided into three parts: the fork, the disc, and the rod. In each area, it is determined whether to perform trimming or extrusion. If it is determined to be trimming, trimming compensation is performed; if it is determined to be extrusion, extrusion compensation is performed.

[0111] The judgment formula is:

[0112] (7)

[0113] (8)

[0114] (9)

[0115] in:

[0116] M is the judgment formula for the cross part, G i is the measured value, s i is the i-th component of S, where S is the aforementioned standard quantity. Therefore, if M>0, it means that the portion that exceeds the standard type is dominant, so a trimming operation is performed to remove the excess portion. If M<0, it means that the portion that is smaller than the standard type is dominant, so an extrusion operation is performed.

[0117] N is the judgment formula for the disc part, a and b are the measured values, T and V are the aforementioned standard quantities. If N < 0, it means that the part larger than the standard is dominant, and trimming is required. If N > 0, it means that the part smaller than the standard is dominant, and extrusion is required.

[0118] Q is the judgment formula for the rod part, c and d are the measured values, Y and X are the aforementioned standard quantities. If Q is less than 0, it means that the part larger than the standard type is dominant, so trimming operation is required. If Q is greater than 0, it means that the part smaller than the standard type is dominant, so extrusion operation is required.

[0119] This embodiment further provides a steering knuckle forging parameter real-time optimization and adjustment system, which is used to implement the above-mentioned steering knuckle forging parameter real-time optimization and adjustment method, specifically including:

[0120] A modeling module, the modeling module is used to perform mathematical modeling on the fork, the disc and the rod, and to establish a forging parameter model of the servo electric screw press regarding the temperature of the steering knuckle preform;

[0121] A monitoring platform, which is used to compare the final forging data of each part of the steering knuckle with the standard forging model of each part in the cloud database and issue a monitoring signal based on the comparison result;

[0122] An adjustment and compensation module, the adjustment and compensation module is used to compensate and adjust the parameters of the servo electric screw press and the size of the steering knuckle;

[0123] A network communication module, the network communication module including a remote data communication module provided on the servo electric screw press and a near-end data communication module provided on the monitoring platform, the near-end data communication module being provided with a plurality of communication interfaces corresponding one-to-one with the remote data communication modules;

[0124] The communication detection module is used to perform network link communication detection between the near-end data communication module and the far-end data communication module.

[0125] In addition, this embodiment provides a storage medium, which contains a computer program. When the computer program is executed by one or more computers, it enables the computers to perform the following operations: the operations include the real-time optimization and adjustment method of steering knuckle forging parameters as described above.

[0126] The present invention establishes a forging parameter model of a servo electric screw press regarding the temperature of a steering knuckle preform, and sets the parameters of the servo electric screw press for steering knuckles with different initial temperature values, so that the parameters can be changed according to the initial temperature value, thereby forging a steering knuckle with dimensions that are more in line with precision, thereby improving the use effect and life of the steering knuckle.

[0127] The present invention also takes into account the complexity of the steering knuckle structure and divides the steering knuckle into three parts for classification modeling, so that the obtained data is more targeted and more in line with the actual situation. In the process of adjusting parameters, the influence of temperature changes in the final forging process on the forging size of the steering knuckle is taken into consideration, and a feedback adjustment mechanism is set. On the basis of the existing forging parameters, parameter compensation is performed, and compensatory adjustment is performed on the steering knuckle that exceeds the error range. This can not only avoid waste, but also further strengthen the precision control and further improve the use effect and life of the steering knuckle.

[0128] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements can be made without departing from the principles of the present invention. These improvements should also be regarded as the scope of protection of the present invention.

Claims

1. A method for real-time optimization and adjustment of steering knuckle forging parameters, characterized in that: The following steps are involved: S1. Divide the steering knuckle into three parts: a fork, a disc, and a rod. Perform mathematical modeling on the fork, disc, and rod structures to form a forging model of the fork, disc, and rod, respectively. S2. Collect historical data of qualified fork forging models, disc forging models, and rod forging models, store the historical data in a cloud database, and generate standard fork forging models, standard disc forging models, and standard rod forging models in the cloud database; S3, adjusting the servo electric screw press to pre-forge the steering knuckle preform; S4. Establishing a forging parameter model of a servo electric screw press regarding the temperature of the steering knuckle preform, setting a real-time temperature detection module, and adjusting the parameters of the servo electric screw press according to the temperature of the preform and the forging parameter model, wherein the adjustment parameters include pressure f, speed v, and stroke s; S5, a servo electric screw press performs final forging on the steering knuckle preform using the pressure f, speed v, and stroke s parameters adjusted in step S4; S6. Measure the final forging data of the steering knuckle, which is divided into fork final forging data, disc final forging data, and rod final forging data, and send all final forging data to the monitoring platform in real time through the intelligent monitoring network; S7. Storing all final forging data of the steering knuckle in a database, and comparing the final forging data of each part of the steering knuckle with the standard forging model of each part in the cloud database, and issuing a monitoring signal based on the comparison result, wherein the monitoring signal includes a normal forging signal and an abnormal forging signal; If the monitoring signal sends a normal forging signal, the steering knuckle is judged to be qualified, the steering knuckle is cooled and then heat treated, the steering knuckle final forging data is updated in the cloud database, and the forging models of the standard fork type part, the standard disc type part, and the standard rod type part are updated; If the monitoring signal sends out a forging abnormality signal, the steering knuckle is judged to be unqualified, and the parameters of the servo electric screw press are adjusted to compensate and perform dimensional compensation on the steering knuckle. The dimensional compensation includes trimming or extrusion. After the dimensional compensation is completed, the steering knuckle is cooled and then heat treated.

2. The method for real-time optimization and adjustment of steering knuckle forging parameters according to claim 1, characterized in that: In step S1, mathematical modeling of the rod, disk, and rod parts includes the following steps: S101 and the fork-like part are irregular cylinders, which are modeled using a nonlinear model. The cross-sectional scan is generated from bottom to top. i , K i The interval is p, J i The boundary curve fitting equation of section Ki, i=1,2,3…,100, is paired into an array (J1,J2,…,J 100 ), and record (J1, J2, …, J 100 ), the central trajectory is (J1, J2, ..., J 100 ) corresponding to the fork part; S102, modeling the disc portion using a linear model, measuring the thickness h and radius R of the disc portion, pairing them into an array (h, R), and recording the center trajectory of (h, R), where the center trajectory is the disc portion corresponding to (h, R); S103, modeling the rod portion using a linear model, measuring the length k of the rod portion and the radius r of the rod portion, pairing them into an array (k, r), and recording the center trajectory of (k, r), where the center trajectory is the rod portion corresponding to (k, r); S104: When modeling, the measured values ​​obtained in steps S101-S103 are sent to the controller in the control platform. The controller calculates the input values ​​in real time to obtain the data required to be measured in each model.

3. The method for real-time optimization and adjustment of steering knuckle forging parameters according to claim 2, characterized in that: In step S2, the following iterative formula is used to form the standard fork-type partial forging model, the standard disc-type partial forging model, and the standard rod-type partial forging model in the cloud database: （1） （2） （3） （4） （5） Among them, S1, T1, V1, X1, Y1 are all 0, (J1, J2, ..., J 100 ) traverses the fork-type data stored in the cloud database, (h, R) traverses the disk-type data stored in the cloud database, and (k, r) traverses the rod-type data stored in the cloud database. The final values ​​are assigned to S, T, V, X, and Y respectively. The standard forging model of the fork-type part is S, which is a 100-dimensional vector. The standard forging model of the disk-type part is (T, V), and the standard forging model of the rod-type part is (X, Y).

4. The method for real-time optimization and adjustment of steering knuckle forging parameters according to claim 3, characterized in that: In step S7, the method for updating the standard fork-like partial forging model, the standard disc-like partial forging model, and the standard rod-like partial forging model includes the following: For the historical data of the newly generated fork-type partial forging model, disc-type partial forging model and rod-type partial forging model in the cloud database, an iterative formula is used to obtain a new standard fork-type partial forging model, a standard disc-type partial forging model and a standard rod-type partial forging model, and update them in the cloud database.

5. The method for real-time optimization and adjustment of steering knuckle forging parameters according to claim 4, characterized in that: In step S4, the method for establishing the forging parameter model of the servo electric screw press regarding the temperature of the steering knuckle preform is as follows: S401, the temperature of the steering knuckle preform is Z, and the adjustment parameters of the servo electric screw press are pressure f, speed v, and stroke s; S402, simulate and generate multiple groups of S, T, V, X and Y under the conditions of f, v, s and Z; S403, using a computer to generate a multi-dimensional discontinuous function image of S, T, V, X and Y under the conditions of f, v, s and Z; S404. Using the continuity of the function, the multidimensional discontinuous function image is compensated to a multidimensional continuous function image, and S, T, V, X and Y under the conditions of continuous values ​​of f, v, s and Z are obtained to complete the model establishment.

6. The method for real-time optimization and adjustment of steering knuckle forging parameters according to claim 5, characterized in that: In step S7, the final forging data of each part of the steering knuckle is compared with the standard forging model of each part in the cloud database using the following formula: （6） Where ω is the forging error, S i is the i-th component of S, G i is the final forging section equation of the steering yoke part, a is the final forging thickness of the steering knuckle disc part, b is the final forging radius of the steering knuckle disc part, c is the final forging radius of the steering knuckle rod part, d is the final forging length of the steering knuckle rod part, and α is the historical allowable error; If ω is greater than α, it is judged as unqualified; If ω is less than α, it is considered qualified.

7. The method for real-time optimization and adjustment of steering knuckle forging parameters according to claim 6, characterized in that: The method for compensating and adjusting the parameters of the servo electric screw press in step S7 is as follows: Revise the parameters of the servo electric screw press so that f, v, and s become f+Δf, v+Δv, and s+Δs, create new steering knuckle data, and calculate the integral of the deviation from S, T, V, X, and Y to obtain A; When A is less than α, use f+Δf, v+Δv and s+Δs. Otherwise, change f, v and s to f+1 / 2Δf, v+1 / 2Δv and s+1 / 2Δs. Repeat the above operation until the parameters of the servo electric screw press that meet the requirements are obtained.

8. The method for real-time optimization and adjustment of steering knuckle forging parameters according to claim 7, characterized in that: The method for performing size compensation on the steering knuckle in step S7 is as follows: Divide the steering knuckle into three parts: fork, disc and rod; In each area, it is determined whether to perform trimming or extrusion. If it is determined to be trimming, trimming compensation is performed; if it is determined to be extrusion, extrusion compensation is performed; The judgment formula is: （7） （8） （9） in, M is the judgment formula for the fork part. If M>0, the trimming operation is performed. If M<0, the extrusion compensation is performed. N is the judgment formula for the disc part. If N < 0, the trimming operation is performed; if N > 0, the extrusion operation is performed. Q is the judgment formula for the rod part. If Q < 0, the trimming operation is performed; if Q > 0, the extrusion operation is performed.

9. A steering knuckle forging parameter real-time optimization and adjustment system, used to implement the steering knuckle forging parameter real-time optimization and adjustment method according to any one of claims 1 to 8, characterized in that: include: A modeling module, the modeling module is used to perform mathematical modeling on the fork, the disc and the rod, and to establish a forging parameter model of the servo electric screw press regarding the temperature of the steering knuckle preform; A monitoring platform, which is used to compare the final forging data of each part of the steering knuckle with the standard forging model of each part in the cloud database and issue a monitoring signal based on the comparison result; An adjustment and compensation module, the adjustment and compensation module is used to compensate and adjust the parameters of the servo electric screw press and the size of the steering knuckle; A network communication module, the network communication module including a remote data communication module provided on the servo electric screw press and a near-end data communication module provided on the monitoring platform, the near-end data communication module being provided with a plurality of communication interfaces corresponding one-to-one with the remote data communication modules; The communication detection module is used to perform network link communication detection between the near-end data communication module and the far-end data communication module.

10. A storage medium comprising a computer program, wherein when executed by one or more computers, the computer program causes the computers to perform the following operations: The operation includes the real-time optimization and adjustment method for steering knuckle forging parameters as described in any one of claims 1-8.

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