Heat treatment process optimization method for metal wire rope processing

Abstract

The invention discloses a heat treatment process optimization method for metal wire rope processing, and relates to the related field of heat treatment, and the method comprises the following steps: obtaining conceptual design information of a conceptual metal wire rope, executing mechanical property analysis, and obtaining monomer mechanical properties of a metal wire monomer; executing raw material scheduling to obtain raw material attribute information; executing wire drawing process analysis to obtain a target wire drawing process; annealing process analysis is executed, and a global annealing process is obtained; the target wire drawing process and the global annealing process serve as heat treatment optimization processes to execute heat treatment processing of the metal wire monomers, and heat-treated metal wires are obtained; a wire rope twisting structure is adopted to twist, process and heat-treat the metal wires to obtain an entity of the concept metal wire rope. The technical problem that an existing heat treatment process for metal wire rope machining is insufficient in control fineness is solved, and the technical effect of achieving fine control over the heat treatment process for metal wire rope machining is achieved.

Description

Technical Field

[0001] The present application relates to the field of heat treatment, and in particular to a method for optimizing a heat treatment process for metal wire rope processing. Background Art

[0002] In the field of wire rope processing, the performance and quality of wire rope directly affect its reliability and durability in practical applications. The performance of wire rope mainly depends on the mechanical properties and processing technology of its constituent wire monomers. In the existing wire rope processing process, a fixed heat treatment process is usually used to process the wire monomers, and then twist them according to the predetermined wire rope twist structure. Since this processing method uses a unified heat treatment process, it is impossible to carry out personalized design according to the specific performance requirements of the wire rope, resulting in unreasonable process parameter settings in key process links such as wire drawing and annealing, which affects the performance of the wire rope.

[0003] In the current related technologies, the existing heat treatment process for metal wire rope processing has the technical problem of insufficient control precision. Summary of the invention

[0004] The present application provides a heat treatment process optimization method for metal wire rope processing, obtains conceptual design information of a conceptual metal wire rope, performs mechanical property analysis on the metal wire monomer, optimizes the wire drawing and annealing heat treatment processes based on the analysis results and raw material properties, and ultimately obtains a metal wire rope that meets the performance requirements, thereby achieving the technical effect of achieving refined control over the heat treatment process for metal wire rope processing.

[0005] The present application provides a heat treatment process optimization method for metal wire rope processing, including:

[0006] Interactively obtain conceptual design information of the conceptual metal wire rope, and perform mechanical property analysis based on the conceptual design information to obtain the monomer mechanical properties of the metal wire monomer, wherein the monomer mechanical properties include monomer performance information and monomer mechanical limit, wherein the conceptual design information includes conceptual monomer diameter, wire rope twisting structure, conceptual performance information and conceptual monomer material; perform raw material scheduling based on the conceptual monomer material to obtain raw material attribute information, wherein the raw material attribute information includes raw material diameter parameters and raw material performance measured information; perform wire drawing process analysis based on the raw material diameter parameters and the conceptual monomer diameter The target wire drawing process is analyzed to obtain a target wire drawing process, wherein the target wire drawing process includes K target wire drawing control parameters; an annealing process analysis is performed according to the measured information of the raw material performance, the monomer mechanical limit, the monomer performance information and the target wire drawing process to obtain a global annealing process, wherein the global annealing process includes an intermediate annealing process and a stable annealing process; the target wire drawing process and the global annealing process are used as heat treatment optimization processes to perform heat treatment processing on the metal wire monomer to obtain heat-treated metal wire; the wire rope twisting structure is used to twist the heat-treated metal wire to obtain the entity of the conceptual metal wire rope.

[0007] In a possible implementation, the conceptual design information of the conceptual metal wire rope is interactively obtained, and a mechanical property analysis is performed according to the conceptual design information to obtain the monomer mechanical properties of the metal wire monomer, and the following processing is performed:

[0008] The conceptual metal wire rope is restored by fitting according to the conceptual monomer diameter and the wire rope twisting structure to obtain a metal wire rope geometric model; the conceptual performance information and the conceptual monomer material are fitted to the metal wire rope geometric model to obtain a metal wire rope mechanical model; the monomer performance information is extracted based on the metal wire rope mechanical model; the monomer mechanical model is extracted from the metal wire rope mechanical model, and a numerical simulation is performed on the monomer mechanical model based on finite element analysis to obtain the monomer mechanical limit.

[0009] In a possible implementation, a wire drawing process analysis is performed according to the raw material diameter parameter and the conceptual monomer diameter to obtain a target wire drawing process, and the following processing is performed:

[0010] The drawing deformation ratio is calculated according to the raw material diameter parameter and the conceptual monomer diameter; the drawing deformation ratio and the conceptual monomer material are used to traverse the pre-constructed drawing pass number table to obtain the drawing pass constraints; the drawing deformation ratio is evenly divided according to the drawing pass constraints to obtain K standard single-pass deformation amounts; the pass adjustment step and the pass adjustment limit are preset; the monomer mechanical limit is used as the optimization target, the K standard single-pass deformation amounts are used as the optimization starting point, and the pass adjustment step and the pass adjustment limit are used as the optimization constraints to determine the target drawing process through optimization.

[0011] In a possible implementation, the monomer mechanical limit is used as the optimization target, the K standard single-pass deformation amounts are used as the optimization starting point, the pass adjustment step size and the pass adjustment limit are used as optimization constraints, and before optimizing and determining the target wire drawing process, the following processing is performed:

[0012] Taking the conceptual monomer material as the material constraint, multiple sample single-pass deformation quantities, multiple sample wire drawing control parameters, multiple monomer properties before wire drawing, and multiple monomer properties after wire drawing are interactively obtained; a wire drawing performance prediction model is constructed based on the multiple sample single-pass deformation quantities, multiple sample wire drawing control parameters, multiple monomer properties before wire drawing, and multiple monomer properties after wire drawing; multiple historical safety control parameters of multiple historical single-pass deformation quantities are interactively obtained, and multiple historical safety control parameters of the multiple historical single-pass deformation quantities are associated and stored based on the knowledge graph to obtain a wire drawing control parameter matching table.

[0013] In a possible implementation, the monomer mechanical limit is used as the optimization target, the K standard single-pass deformation amounts are used as the optimization starting point, the pass adjustment step size and the pass adjustment limit are used as optimization constraints, the target wire drawing process is optimized and determined, and the following processing is performed:

[0014] A deformation variable deviation constraint is preset, and the K standard single-pass deformation variables are used to traverse the wire drawing control parameter matching table to obtain K sample safety control parameters, wherein the deviations of the K historical single-pass deformation variables mapped by the K sample safety control parameters and the K standard single-pass deformation variables satisfy the deformation variable deviation constraint; the monomer mechanical limit, K standard single-pass deformation variables and K sample safety control parameters are input into the wire drawing performance prediction model to perform multi-level reverse prediction of wire drawing performance to obtain raw material performance prediction information; if the raw material performance prediction information does not satisfy the raw material performance measured information, the K standard single-pass deformation variables are adjusted based on the pass adjustment step to obtain K first single-pass deformation variables, and the K first single-pass deformation variables are used to traverse the wire drawing control A parameter matching table is prepared to obtain K sample first control parameters; the monomer mechanical limit, K first single-pass deformation amounts and K sample first control parameters are input into the wire drawing performance prediction model to perform multi-level reverse prediction of wire drawing performance to obtain first performance prediction information; if the first performance prediction information satisfies the measured performance information of the raw material, the K sample first control parameters are used as the target wire drawing process; conversely, if the first performance prediction information does not satisfy the measured performance information of the raw material, the above process is performed until the target wire drawing process in which the performance prediction information satisfies the measured performance information of the raw material, or the number of optimization attempts reaches the pass adjustment limit, and the control parameter with the closest Euclidean distance between the performance prediction information and the measured performance information of the raw material is obtained as the target wire drawing process.

[0015] In a possible implementation, the monomer mechanical limit, K standard single-pass deformation amounts and K sample safety control parameters are input into the wire drawing performance prediction model to perform multi-level reverse prediction of wire drawing performance, obtain raw material performance prediction information, and perform the following processing:

[0016] The Kth standard single-pass deformation amount is extracted from the K standard single-pass deformation amounts, wherein the Kth standard single-pass deformation amount is the final drawing deformation amount; the Kth sample safety control parameter is called in the K sample safety control parameter mapping according to the Kth standard single-pass deformation amount; the Kth sample safety control parameter, the Kth standard single-pass deformation amount and the monomer mechanical limit are input into the drawing performance prediction model to perform the drawing performance reverse prediction, and obtain the K-1th intermediate performance prediction information; the K-1th standard single-pass deformation amount is extracted from the K standard single-pass deformation amounts, and according to The K-1th standard single-pass deformation amount calls the K-1th sample safety control parameter in the K sample safety control parameter mapping; the K-1th sample safety control parameter, the K-1th standard single-pass deformation amount and the K-1 intermediate performance prediction information are input into the wire drawing performance prediction model to perform the wire drawing performance reverse prediction, and obtain the K-2th intermediate performance prediction information; and so on, the monomer mechanical limit, K standard single-pass deformation amounts and K sample safety control parameters are input into the wire drawing performance prediction model to perform the wire drawing performance multi-level reverse prediction, and obtain the raw material performance prediction information.

[0017] In a possible implementation, an annealing process analysis is performed according to the measured raw material performance information, monomer mechanical limit, monomer performance information and target wire drawing process to obtain a global annealing process, and the following processing is performed:

[0018] An annealing process analysis is performed based on the measured information of the raw material properties, the monomer mechanical limit and the target wire drawing process to obtain the intermediate annealing process; an annealing process analysis is performed based on the monomer mechanical limit and the monomer performance information to obtain the stable annealing process; and the intermediate annealing process and the stable annealing process are sequenced based on the process timing to obtain the global annealing process.

[0019] In a possible implementation, an annealing process analysis is performed according to the measured information of the raw material properties, the monomer mechanical limit and the target wire drawing process to obtain the intermediate annealing process, and the following processing is performed:

[0020] The K target wire drawing control parameters and the measured information of raw material properties in the target wire drawing process are input into the wire drawing performance prediction model to perform multi-level forward prediction of wire drawing performance, and obtain K intermediate raw material performance parameters; the monomer mechanical limit is used to traverse the K intermediate raw material performance parameters to locate and extract annealing raw material performance parameters, and locate intermediate annealing nodes; multiple sample measured performances, multiple sample target performances and multiple sample annealing control parameters are interactively obtained, and an annealing control analysis model is constructed based on the multiple sample measured performances, multiple sample target performances and multiple sample annealing control parameters; the annealing raw material performance parameters and the measured information of raw material properties are synchronized to the annealing control analysis model to obtain the intermediate annealing process, wherein the intermediate annealing process adopts the intermediate annealing node identifier.

[0021] In a possible implementation, an annealing process analysis is performed according to the monomer mechanical limit and the monomer performance information to obtain the stable annealing process, and the following processing is performed:

[0022] According to the intermediate annealing node, M target wire drawing control parameters are obtained by screening from the K target wire drawing control parameters of the target wire drawing process; the M target wire drawing control parameters and the measured information of the raw material performance are input into the wire drawing performance prediction model to perform multi-level forward prediction of the wire drawing performance, and obtain the final wire drawing performance information; the final wire drawing performance information is used to update the monomer mechanical limit, and the final wire drawing performance information and the monomer performance information are synchronized to the annealing control analysis model to obtain the stable annealing process.

[0023] The heat treatment process optimization method for metal wire rope processing proposed in this application is to first interactively obtain the conceptual design information of the conceptual metal wire rope, and perform mechanical property analysis based on the conceptual design information to obtain the monomer mechanical properties of the metal wire monomer, wherein the monomer mechanical properties include monomer performance information and monomer mechanical limit, wherein the conceptual design information includes the conceptual monomer diameter, the wire rope twisting structure, the conceptual performance information and the conceptual monomer material, and then perform raw material scheduling based on the conceptual monomer material to obtain the raw material attribute information, wherein the raw material attribute information includes the raw material diameter parameter and the raw material performance measured information, and then perform the wire drawing process based on the raw material diameter parameter and the conceptual monomer diameter. Process analysis is performed to obtain the target wire drawing process, wherein the target wire drawing process includes K target wire drawing control parameters, and then annealing process analysis is performed according to the measured information of raw material properties, monomer mechanical limit, monomer performance information and target wire drawing process to obtain the global annealing process, wherein the global annealing process includes an intermediate annealing process and a stable annealing process, and then the target wire drawing process and the global annealing process are used as heat treatment optimization processes to perform heat treatment processing on the metal wire monomer to obtain heat-treated metal wire, and finally the wire rope twisting structure is used to twist and process the heat-treated metal wire to obtain the entity of the conceptual metal wire rope, thereby achieving the technical effect of realizing refined control over the heat treatment process of metal wire rope processing. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] 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 will be briefly introduced below. A flow chart is used in the present application to illustrate the operations performed by the method according to the embodiment of the present application. It should be understood that the preceding or following operations are not necessarily performed accurately 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.

[0025] Figure 1 A schematic flow chart of a method for optimizing a heat treatment process for metal wire rope processing provided in an embodiment of the present application.

[0026] Figure 2 A schematic diagram of a process for optimizing and determining a target wire drawing process in a heat treatment process optimization method for metal wire rope processing provided in an embodiment of the present application. DETAILED DESCRIPTION

[0027] 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.

[0028] 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.

[0029] 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, system, product, or server that includes a series of steps or units is not necessarily limited to those steps or units 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.

[0030] The present application provides a method for optimizing the heat treatment process for wire rope processing, such as Figure 1 As shown, the method includes:

[0031] Step S100, interactively obtain the conceptual design information of the conceptual metal wire rope, and perform mechanical property analysis according to the conceptual design information to obtain the monomer mechanical properties of the metal wire monomer, wherein the monomer mechanical properties include monomer performance information and monomer mechanical limit, wherein the conceptual design information includes conceptual monomer diameter, wire rope twisting structure, conceptual performance information and conceptual monomer material. Specifically, the conceptual design information refers to the preliminary conception and planning of the function, performance, structure, etc. of the product based on user needs and market research in the early stage of product development. Specifically, interact with designers, engineers or users to determine the use scenarios, working environment, required performance and other requirements of the metal wire rope, and collect key design parameters from the interaction, including conceptual monomer diameter (i.e., the expected diameter of the metal wire), wire rope twisting structure (such as single strand, multi-strand, parallel or cross twisting, etc.), conceptual performance information (such as strength, toughness, wear resistance, etc.) and conceptual monomer material (such as stainless steel, carbon steel, alloy steel, etc.).

[0032] The mechanical property analysis refers to the use of engineering analysis software to analyze the stress, strain, displacement, vibration and other mechanical responses of an object under external loads in order to evaluate its structural strength, stiffness, stability and other properties. Specifically, the collected conceptual design information is organized into the data format required for mechanical analysis, such as geometric dimensions and material properties required for model establishment. Engineering analysis software (such as ANSYS, Abaqus, etc.) is used to establish a three-dimensional model or finite element analysis model of the metal wire monomer based on the conceptual design information. Boundary conditions such as loads and constraints are set for the model based on usage scenarios and working environments. The analysis software is run to perform mechanical property analysis on the model, such as stress analysis, fatigue analysis, modal analysis, etc., and output various mechanical property results, such as stress distribution diagrams, deformation diagrams, fatigue life, etc. The monomer mechanical properties refer to the performance of a single metal wire monomer in mechanical analysis, including monomer performance information and monomer mechanical limits, wherein the monomer performance information refers to the specific properties that the metal wire monomer should have, such as strength, toughness, wear resistance, etc.; the monomer mechanical limit refers to the maximum stress or strain value that the metal wire monomer can reach when subjected to an external load. If this limit value is exceeded, the metal wire monomer may be damaged or fail.

[0033] In a possible implementation, the conceptual design information of the conceptual wire rope is interactively obtained, and the mechanical property analysis is performed according to the conceptual design information to obtain the monomer mechanical properties of the metal wire monomer. Step S100 further includes step S110, fitting and restoring the conceptual wire rope according to the conceptual monomer diameter and the wire rope twisting structure to obtain the metal wire rope geometric model. Specifically, the input conceptual monomer diameter and wire rope twisting structure parameters are received, and the geometric model of the metal wire rope is constructed according to the input parameters using CAD (computer-aided design) or other modeling tools. Step S120, fitting the conceptual performance information and the conceptual monomer material to the metal wire rope geometric model to obtain the metal wire rope mechanical model. Specifically, the conceptual performance information and the conceptual monomer material properties are applied to the metal wire rope geometric model to generate the metal wire rope mechanical model. Step S130, extracting and obtaining the monomer performance information based on the metal wire rope mechanical model. Specifically, the metal wire rope mechanical model is analyzed to understand its stress state and deformation characteristics, and the performance information directly related to the metal wire monomer is extracted from the overall performance of the wire rope, such as the stress distribution and deformation of the monomer. Step S140, extracting a monomer mechanical model from the metal wire rope mechanical model, performing numerical simulation on the monomer mechanical model based on finite element analysis, and obtaining the monomer mechanical limit. Specifically, extracting a mechanical model of a single metal wire monomer from the metal wire rope mechanical model, numerically simulating the monomer mechanical model using finite element analysis software, analyzing its stress, strain and deformation under different loads, and determining the mechanical limits of the metal wire monomer, such as maximum stress, maximum strain, etc., based on the simulation results. This implementation method generates a mechanical model that meets actual needs by fitting conceptual design information and monomer material properties to the geometric model, thereby achieving the technical effect of accurately obtaining the monomer mechanical properties of the metal wire monomer.

[0034] Step S200, perform raw material scheduling according to the conceptual monomer material, and obtain raw material attribute information, wherein the raw material attribute information includes raw material diameter parameters and raw material performance measured information. Specifically, according to the obtained conceptual monomer material information, confirm the required raw material types, specifications and quantities, check the existing inventory, confirm whether there are enough raw materials to meet the production needs, and if the inventory is insufficient, issue raw material purchase or scheduling instructions to suppliers to ensure that the raw materials can be supplied in time. Receive the raw materials sent by the supplier, use measuring tools (such as calipers, micrometers, etc.) to measure the diameter of the raw materials, and record the measurement results (such as diameter, tolerance, etc.) to obtain the raw material diameter parameters; through laboratory testing, on-site testing or third-party testing, etc., measure the mechanical properties, chemical composition, physical properties and other aspects of the raw materials, obtain their specific performance parameters (such as tensile strength, yield strength, elongation, chemical composition, etc.), and obtain the raw material performance measured information. The raw material diameter parameters and the raw material performance measured information are sorted to form the raw material attribute information.

[0035] Step S300, performing wire drawing process analysis according to the raw material diameter parameter and the conceptual monomer diameter, and obtaining a target wire drawing process, wherein the target wire drawing process includes K target wire drawing control parameters. Specifically, the wire drawing process refers to the process of making metal raw materials into filaments through stretching and thinning. By comparing the raw material diameter and the conceptual monomer diameter, the required wire drawing ratio (i.e., the ratio of the raw material diameter to the target diameter) is calculated, that is, the degree of stretching of the material during the wire drawing process is determined. According to the wire drawing ratio, the material of the raw material and the purpose of the conceptual metal wire rope, the specific requirements for wire drawing, such as surface quality, roundness, dimensional tolerance, etc., are determined. According to the material, diameter and wire drawing requirements of the raw material, the wire drawing equipment, such as a continuous wire drawing machine, a multi-pass wire drawing machine, etc., is determined. According to the performance of the wire drawing equipment, the material of the raw material and the wire drawing requirements, the K control parameters in the wire drawing process are set, including the wire drawing speed, the wire drawing tension, the wire drawing temperature, the lubrication conditions, etc. Use simulation software or experimental methods to simulate and analyze the set wire drawing control parameters, predict material deformation, temperature distribution, stress distribution, etc. during the wire drawing process, and optimize and adjust the set wire drawing control parameters according to the results of the simulation analysis to obtain the best wire drawing effect. The optimized wire drawing process parameter combination is used as the target wire drawing process to guide actual wire drawing production.

[0036] In a possible implementation, a wire drawing process analysis is performed according to the raw material diameter parameter and the conceptual monomer diameter to obtain a target wire drawing process, and step S300 further includes step S310, in which a wire drawing deformation ratio is calculated according to the raw material diameter parameter and the conceptual monomer diameter. Specifically, the raw material diameter is divided by the conceptual monomer diameter to obtain a wire drawing deformation ratio, and this ratio represents the degree of deformation that needs to be experienced from the raw material to the final product. Step S320, the wire drawing deformation ratio and the conceptual monomer material are used to traverse the pre-constructed wire drawing pass number table to obtain a wire drawing pass constraint. Specifically, the wire drawing pass number table is a table pre-constructed based on historical processing experience and material properties, and is used to provide recommended wire drawing passes according to different materials and different deformation ratios. The wire drawing pass refers to the number of processes that need to be experienced during the wire drawing process. In the wire drawing pass number table, find the entry that is closest to or the same as the current wire drawing deformation ratio and the conceptual monomer material, and read the corresponding recommended wire drawing pass as the wire drawing pass constraint. Step S330, averagely divide the drawing deformation ratio according to the drawing pass constraint to obtain K standard single-pass deformation amounts. Specifically, use the drawing pass constraint to determine how many times the drawing is required, and evenly divide the drawing deformation ratio into each drawing to obtain the standard deformation amount for each drawing. Step S340, preset the pass adjustment step and the pass adjustment limit. Specifically, based on the mechanical properties of the conceptual monomer material and processing experience, preset a pass adjustment step to adjust the deformation amount of each drawing during the optimization process. At the same time, set the limit range of the pass adjustment, that is, the upper limit of the number of optimization iterations during the optimization process. Step S350, taking the monomer mechanical limit as the optimization target, the K standard single-pass deformation amounts as the optimization starting point, and the pass adjustment step and pass adjustment limit as the optimization constraints, optimize and determine the target wire drawing process. Specifically, the mechanical limit of the monomer (such as tensile strength, elongation, etc.) is taken as the optimization target to ensure that the final product has excellent mechanical properties. The standard single-pass deformation is taken as the starting point, and the optimization calculation is performed according to the set adjustment step and limit. After multiple iterations and optimizations, a set of drawing pass deformation combinations that can maximize the mechanical limit of the monomer is found, which is the target drawing process. The starting point of the optimization in this implementation method is obtained by evenly dividing the drawing deformation ratio into each drawing, that is, each standard single-pass deformation. This method ensures that at the beginning of the optimization, the deformation of each pass is based on the reasonable distribution of the original data, which helps to converge to the optimal solution faster and improves the technical effect of improving the optimization efficiency.

[0037] In a possible implementation, the monomer mechanical limit is used as the optimization target, the K standard single-pass deformations are used as the optimization starting point, the pass adjustment step and the pass adjustment limit are used as optimization constraints, and before the target wire drawing process is determined by optimization, step S300 further includes step S360, using the conceptual monomer material as a material constraint, interactively obtaining multiple sample single-pass deformations, multiple sample wire drawing control parameters, multiple monomer properties before wire drawing, and multiple monomer properties after wire drawing. Specifically, the conceptual monomer material is the material basis of all sample data, and interacts with operators or experimental equipment to obtain sample data under multiple different conditions, including single-pass deformations, wire drawing control parameters (such as wire drawing speed, temperature, etc.), monomer properties before wire drawing (such as tensile strength, elongation, etc.), and monomer properties after wire drawing. Step S370, based on the multiple sample single-pass deformations, multiple sample wire drawing control parameters, multiple monomer properties before wire drawing, and multiple monomer properties after wire drawing, a wire drawing performance prediction model is constructed. Specifically, the collected sample data is cleaned, screened and standardized to ensure the quality and consistency of the data. According to the characteristics of the problem and the characteristics of the data, a prediction model, such as a neural network, a regression model, etc., is selected or designed. The model is trained using the processed sample data so that the model learns the mapping relationship between the drawing control parameters and the deformation amount and the monomer performance before and after drawing. The drawing performance prediction model can predict the performance of the monomer before or after drawing according to the given drawing control parameters and deformation amount. Step S380, interactively obtain multiple historical safety control parameters of multiple historical single-pass deformation amounts, store multiple historical safety control parameters of the multiple historical single-pass deformation amounts based on the knowledge graph, and obtain a drawing control parameter matching table. Specifically, through historical data or experimental data, multiple historical single-pass deformation amounts and their corresponding safety control parameters (such as safe drawing speed range, temperature range, etc.) are obtained, and the single-pass deformation amounts in these historical data are associated with the safety control parameters and stored using the knowledge graph technology to form a matching table. According to new experimental data or production data, the matching table is continuously updated and optimized to improve its accuracy and practicality. This implementation method achieves accurate prediction of monomer performance before and after wire drawing by constructing a wire drawing performance prediction model, achieving the technical effect of making the optimization process more efficient, accurate and controllable.

[0038] like Figure 2As shown, in a possible implementation, the monomer mechanical limit is used as the optimization target, the K standard single-pass deformation variables are used as the optimization starting point, the pass adjustment step and the pass adjustment limit are used as optimization constraints, and the target wire drawing process is determined by optimization. Step S350 further includes step S351, presetting a deformation variable deviation constraint, and using the K standard single-pass deformation variables to traverse the wire drawing control parameter matching table to obtain K sample safety control parameters, wherein the deviations between the K historical single-pass deformation variables mapped by the K sample safety control parameters and the K standard single-pass deformation variables meet the deformation variable deviation constraint. Specifically, a deformation variable deviation constraint is preset, and the deformation variable deviation constraint defines the allowable deviation range between the standard single-pass deformation variable and the historical single-pass deformation variable. The preset deformation variable deviation constraint and the K standard single-pass deformation variables are used to traverse the wire drawing control parameter matching table to find the safety control parameters corresponding to the K historical single-pass deformation variables whose deviations from the standard single-pass deformation variables meet the requirements. Step S352, input the monomer mechanical limit, K standard single-pass deformation amounts and K sample safety control parameters into the wire drawing performance prediction model to perform multi-level reverse prediction of wire drawing performance, and obtain raw material performance prediction information. Specifically, the monomer mechanical limit, K standard single-pass deformation amounts and K sample safety control parameters are input into the wire drawing performance prediction model, and the wire drawing performance prediction model is used to perform multi-level reverse prediction, and the performance information of the original material is reversed by adjusting the input control parameters and deformation amounts.

[0039] Step S353, if the raw material performance prediction information does not meet the raw material performance measured information, then adjust the K standard single-pass deformation amounts based on the pass adjustment step to obtain K first single-pass deformation amounts, and use the K first single-pass deformation amounts to traverse the wire drawing control parameter matching table to obtain K sample first control parameters; Step S354, input the monomer mechanical limit, K first single-pass deformation amounts and K sample first control parameters into the wire drawing performance prediction model to perform multi-level reverse prediction of wire drawing performance to obtain first performance prediction information; Step S355, if the first performance prediction information satisfies the actual material performance information, the first control parameters of the K samples are used as the target wire drawing process; Step S356, conversely, if the first performance prediction information does not satisfy the actual material performance information, the above process is executed until the performance prediction information is obtained to satisfy the target wire drawing process of the actual material performance information, or the number of optimization times reaches the pass adjustment limit, and the control parameters with the shortest Euclidean distance between the performance prediction information and the actual material performance information are obtained as the target wire drawing process.

[0040] Specifically, if the raw material performance prediction information obtained in step S352 does not meet the measured raw material performance information, K standard single-pass deformation variables are adjusted according to the pass adjustment step length to obtain K first single-pass deformation variables, and the new first single-pass deformation variables are used to traverse the wire drawing control parameter matching table again to obtain K sample first control parameters, and the new control parameters are input into the wire drawing performance prediction model for reverse prediction to obtain the first performance prediction information. Repeat the above process until the performance prediction information meets the measured raw material performance information, or the number of optimizations reaches the preset pass adjustment limit, if the measured raw material performance information cannot be met before the limit is reached, the control parameter with the closest Euclidean distance between the performance prediction information and the measured raw material performance information is selected as the target wire drawing process. This implementation method continuously adjusts the standard single-pass deformation variables and control parameters through iterative optimization until the predicted performance information meets the measured raw material performance information, or reaches the preset optimization limit, thereby achieving the technical effect of ensuring that a combination of wire drawing process parameters close to the optimal solution is found.

[0041] In a possible implementation, the monomer mechanical limit, K standard single-pass deformation variables and K sample safety control parameters are input into the wire drawing performance prediction model to perform multi-level reverse prediction of wire drawing performance, and obtain raw material performance prediction information. Step S352 further includes step S3521, extracting the Kth standard single-pass deformation variable from the K standard single-pass deformation variables, wherein the Kth standard single-pass deformation variable is the final wire drawing deformation variable. Specifically, the Kth standard single-pass deformation variable, i.e., the final wire drawing deformation variable, is extracted from the given K standard single-pass deformation variables. The final wire drawing deformation variable is the deformation variable of the last pass in the wire drawing process, and has a direct impact on the mechanical properties of the final product. Step S3522, calling the Kth sample safety control parameter in the Kth sample safety control parameter mapping according to the Kth standard single-pass deformation; Step S3523, inputting the Kth sample safety control parameter, the Kth standard single-pass deformation and the monomer mechanical limit into the wire drawing performance prediction model to perform wire drawing performance reverse prediction, and obtain the K-1th intermediate performance prediction information. Specifically, the first wire drawing performance reverse prediction is performed to obtain the K-1th intermediate performance prediction information, and the K-1th intermediate performance prediction information represents the material performance state before the Kth wire drawing is performed. Step S3524, extract the K-1th standard single-pass deformation amount from the K standard single-pass deformation amounts, and call the K-1th sample safety control parameter in the K sample safety control parameter mapping according to the K-1th standard single-pass deformation amount; Step S3525, input the K-1th sample safety control parameter, the K-1th standard single-pass deformation amount and the K-1th intermediate performance prediction information into the wire drawing performance prediction model to perform the wire drawing performance reverse prediction, and obtain the K-2th intermediate performance prediction information; Step S3521, by analogy, input the monomer mechanical limit, K standard single-pass deformation amounts and K sample safety control parameters into the wire drawing performance prediction model to perform the wire drawing performance multi-level reverse prediction, and obtain the raw material performance prediction information. Specifically, the next wire drawing performance reverse prediction is performed to obtain the previous (K-2th) intermediate performance prediction information, and this process continues until the performance prediction information of the original material (i.e., the raw material performance prediction information) is obtained. This implementation method starts from the last drawing deformation and gradually works backwards, ensuring that the correct control parameters and deformation are used in each step of the prediction, thereby achieving the technical effect of improving the accuracy of the prediction.

[0042] Step S400, performing annealing process analysis according to the measured information of raw material performance, monomer mechanical limit, monomer performance information and target wire drawing process, and obtaining a global annealing process, wherein the global annealing process includes an intermediate annealing process and a stable annealing process. Specifically, the annealing process is a heat treatment process, which changes the physical and chemical properties of the material by heating to an appropriate temperature and keeping it warm for a period of time, and then slowly cooling it. Specifically, based on the measured information of raw material performance, the key performance indicators such as strength, toughness, and hardness of the raw material are determined; combined with the monomer mechanical limit and monomer performance information, the performance of the metal wire monomer under stress is analyzed; and the influence of the target wire drawing process on the material performance is evaluated, especially the residual stress and material hardening introduced during the wire drawing process. According to the performance of the raw material, the purpose of the target metal wire rope and the characteristics of the target wire drawing process, the annealing method is selected, including complete annealing, isothermal annealing, incomplete annealing, etc.; the annealing parameters, including heating temperature, holding time, cooling rate, etc., are set based on the performance of the raw material, the purpose of the target metal wire rope and the purpose of annealing (such as grain refinement, uniform organization, elimination of internal stress, etc.). Among them, intermediate annealing is carried out during the multi-pass wire drawing process to eliminate the residual stress and material hardening introduced in the previous wire drawing process and improve the processing performance of the material; stabilization annealing is carried out after the wire drawing is completed to further improve the plasticity and toughness of the material, reduce the hardness and strength, and make the material easier to process or use in the future. The intermediate annealing process and the stabilization annealing process are integrated to form a complete global annealing process plan. According to the analysis results and actual needs, the global annealing process is optimized and adjusted to obtain the best annealing effect.

[0043] In a possible implementation, an annealing process analysis is performed according to the measured information of the raw material properties, the monomer mechanical limit, the monomer performance information and the target wire drawing process to obtain a global annealing process. Step S400 further includes step S410, performing an annealing process analysis according to the measured information of the raw material properties, the monomer mechanical limit and the target wire drawing process to obtain the intermediate annealing process. Specifically, the measured information of the raw material properties includes hardness, tensile strength, elongation, etc. The monomer mechanical limit reflects the maximum load-bearing capacity and deformation capacity of the metal wire monomer under specific conditions. The target wire drawing process is the expected wire drawing production process, including the deformation characteristics of the material during the wire drawing process, temperature requirements, speed control, etc. Based on the above information, the optimal parameters for implementing the annealing process at a certain stage before wire drawing (such as the intermediate stage) are analyzed, such as annealing temperature, time, cooling rate, etc., and the specific steps and parameters of the intermediate annealing process are determined according to the analysis results. Step S420, performing an annealing process analysis according to the monomer mechanical limit and the monomer performance information to obtain the stable annealing process. Specifically, according to the monomer mechanical limit and monomer performance information, the optimal parameters for implementing the annealing process in the stable stage of wire drawing are analyzed, and according to the analysis results, the specific steps and parameters of the stable annealing process are determined. Step S430, the intermediate annealing process and the stable annealing process are sorted based on the process timing to obtain the global annealing process. Specifically, according to the process of wire drawing production and the law of change of material properties, the execution order of the intermediate annealing process and the stable annealing process is determined, and the annealing processes of the two stages are integrated according to the timing requirements to form a complete global annealing process. This implementation method accurately controls the performance changes of the material at different production stages by performing annealing process analysis in stages, and achieves the technical effect of ensuring that the implementation of the annealing process is coordinated with the process of wire drawing production.

[0044] In a possible implementation, an annealing process analysis is performed based on the measured information of the raw material performance, the monomer mechanical limit and the target wire drawing process to obtain the intermediate annealing process. Step S410 further includes step S411, inputting K target wire drawing control parameters and the measured information of the raw material performance in the target wire drawing process into the wire drawing performance prediction model to perform multi-level forward prediction of the wire drawing performance, and obtain K intermediate raw material performance parameters. Specifically, the K target wire drawing control parameters and the measured information of the raw material performance are input into the pre-built wire drawing performance prediction model. The wire drawing performance prediction model simulates the step-by-step change of the material performance during the wire drawing process based on the input parameters through a multi-level forward algorithm, and obtains K intermediate raw material performance parameters corresponding to different wire drawing stages. Step S412, using the monomer mechanical limit to traverse the K intermediate raw material performance parameters to locate and extract the annealing raw material performance parameters, and locate the intermediate annealing node. Specifically, according to the monomer mechanical limit (i.e., the maximum load-bearing capacity and deformation capacity of the metal wire monomer under specific conditions), the K intermediate raw material performance parameters are traversed to find the point in the intermediate raw material performance parameter that reaches or approaches the monomer mechanical limit. The raw material performance parameter corresponding to this point is the annealing raw material performance parameter. At the same time, the point is identified as the intermediate annealing node, that is, the specific position or stage where the annealing process needs to be performed during the wire drawing process. Step S413, interactively obtain multiple sample measured performances, multiple sample target performances and multiple sample annealing control parameters, and construct an annealing control analysis model based on the multiple sample measured performances, multiple sample target performances and multiple sample annealing control parameters. Specifically, through experiments or historical data, the measured performance data, target performance data and annealing control parameters of multiple samples are collected, and these data are used to construct an annealing control analysis model through machine learning or statistical methods. The annealing control analysis model is a model for analyzing and predicting the optimal control parameters in the annealing process, and can predict the optimal annealing control parameters based on the input measured performance and target performance. Step S414, synchronizing the annealing raw material performance parameters and the measured raw material performance information to the annealing control analysis model to obtain the intermediate annealing process, wherein the intermediate annealing process uses the intermediate annealing node identifier. Specifically, the annealing raw material performance parameters and the measured raw material performance information are input into the annealing control analysis model, and the annealing control analysis model outputs the best intermediate annealing process parameters, such as annealing temperature, time, etc., based on this information, to guide the annealing process operation in actual production. This implementation method accurately predicts the performance changes of the material during the wire drawing process by combining the wire drawing performance prediction model and the annealing control analysis model, and determines the best intermediate annealing process parameters accordingly, thereby achieving the technical effect of improving the prediction accuracy of the intermediate annealing process.

[0045] In a possible implementation, an annealing process analysis is performed according to the monomer mechanical limit and the monomer performance information to obtain the stable annealing process, and step S420 further includes step S421, selecting and obtaining M target wire drawing control parameters from the K target wire drawing control parameters of the target wire drawing process according to the intermediate annealing node. Specifically, the control parameters of the wire drawing stage that continues after the intermediate annealing node in the wire drawing process are identified and determined, and the M target wire drawing control parameters corresponding to these subsequent stages are selected from the original K target wire drawing control parameters. Step S422, the M target wire drawing control parameters and the measured information of the raw material performance are input into the wire drawing performance prediction model to perform multi-level forward prediction of the wire drawing performance, and obtain the final wire drawing performance information. Specifically, the selected M target wire drawing control parameters and the measured performance information of the raw material are input into the pre-built wire drawing performance prediction model. The wire drawing performance prediction model uses a multi-level forward prediction algorithm to simulate the performance changes of the material in the subsequent wire drawing process after intermediate annealing based on the input control parameters and measured performance information, and finally outputs the performance information of the last wire drawing (i.e., the last stage of the wire drawing process). Step S423, the monomer mechanical limit is updated using the last wire drawing performance information, and the last wire drawing performance information and the monomer performance information are synchronized to the annealing control analysis model to obtain the stable annealing process. Specifically, the original monomer mechanical limit is updated using the last wire drawing performance information, because the performance of the material may have changed after the intermediate annealing, and its mechanical limit needs to be updated to reflect this change. The last wire drawing performance information and the monomer performance information are synchronized to the annealing control analysis model. The annealing control analysis model analyzes the annealing process parameters required to make the material reach a stable state after the last wire drawing based on these input information, such as annealing temperature, time, etc. This implementation method achieves the technical effect of improving the accuracy of generating a stable annealing process by screening the target wire drawing control parameters, predicting the final wire drawing performance information, and building a stable annealing process based on this information, thereby achieving the precise control of material performance changes.

[0046] Step S500, the target wire drawing process and the global annealing process are used as the heat treatment optimization process to perform the heat treatment processing of the metal wire monomer to obtain the heat-treated metal wire. Specifically, the operation status of the heat treatment equipment (such as annealing furnace, wire drawing machine, etc.) is checked to ensure that the equipment can work normally, the raw materials that have been scheduled and inspected are prepared, and the various parameters of the wire drawing machine, such as wire drawing speed, wire drawing tension, etc., are set according to the target wire drawing process, and the wire drawing machine is started. The raw materials are wire-drawn according to the set parameters. In the multi-pass wire drawing process, according to the intermediate annealing process, the metal wire is sent to the annealing furnace for annealing. After the annealing is completed, the subsequent wire drawing process is continued until the conceptual monomer diameter is reached. After the wire drawing is completed, according to the stable annealing process, the metal wire is sent to the annealing furnace for the final annealing. After the annealing is completed, the metal wire is allowed to cool naturally or an appropriate cooling method is adopted. After the target wire drawing process and the global annealing process, the heat-treated metal wire is obtained, and the heat-treated metal wire meets the predetermined requirements in terms of size, performance, etc., and can be used for subsequent processing.

[0047] Step S600, the heat-treated metal wire is twisted and processed using the wire rope twisting structure to obtain the entity of the conceptual metal wire rope. Specifically, the operation status of the twisting equipment (equipment for twisting multiple metal wires into wire ropes according to a certain twisting structure, such as a twisting machine, a stranding machine, etc.) is checked to ensure that the equipment can work normally, the obtained heat-treated metal wire is prepared, grouped and arranged according to the predetermined wire rope twisting structure requirements, and various parameters of the twisting equipment are set according to the requirements of the wire rope twisting structure, such as twisting speed, twist direction (S twist or Z twist), twist length (the distance between two adjacent twisting points), etc., and the twisting equipment is started, and the heat-treated metal wire is twisted according to the predetermined twisting structure according to the set parameters. After the wire rope twisting process, the actual metal wire rope product is obtained. The structure and performance of the actual metal wire rope product meet the design requirements of the conceptual metal wire rope and is the entity of the conceptual metal wire rope. The embodiment of the present application adopts technical means such as obtaining conceptual design information of a conceptual metal wire rope, analyzing the mechanical properties of the metal wire monomer, optimizing the wire drawing and annealing heat treatment processes based on the analysis results and the properties of the raw materials, and finally obtaining a metal wire rope that meets the performance requirements, thereby achieving the technical effect of realizing refined control over the metal wire rope processing heat treatment process.

[0048] 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. A method for optimizing heat treatment process for metal wire rope processing, characterized in that: The method comprises: Interactively obtain conceptual design information of the conceptual metal wire rope, and perform mechanical property analysis according to the conceptual design information to obtain monomer mechanical properties of the metal wire monomer, wherein the monomer mechanical properties include monomer performance information and monomer mechanical limit, wherein the conceptual design information includes conceptual monomer diameter, wire rope twist structure, conceptual performance information and conceptual monomer material; Execute raw material scheduling according to the conceptual monomer material to obtain raw material attribute information, wherein the raw material attribute information includes raw material diameter parameters and raw material performance measured information; Performing wire drawing process analysis according to the raw material diameter parameter and the conceptual monomer diameter to obtain a target wire drawing process, wherein the target wire drawing process includes K target wire drawing control parameters; Performing annealing process analysis according to the measured information of raw material properties, monomer mechanical limit, monomer performance information and target wire drawing process to obtain a global annealing process, wherein the global annealing process includes an intermediate annealing process and a stable annealing process; Using the target wire drawing process and the global annealing process as a heat treatment optimization process to perform heat treatment processing on the metal wire monomer to obtain a heat-treated metal wire; The heat-treated metal wire is twisted and processed by using the wire rope twisting structure to obtain the entity of the conceptual metal wire rope.

2. The heat treatment process optimization method for metal wire rope processing according to claim 1, characterized in that: Interactively obtaining conceptual design information of the conceptual metal wire rope, and performing mechanical property analysis according to the conceptual design information to obtain the monomer mechanical properties of the metal wire monomer, the method further comprising: The conceptual metal wire rope is restored by fitting according to the conceptual monomer diameter and the twisted structure of the wire rope to obtain a geometric model of the metal wire rope; Fitting the conceptual performance information and the conceptual monomer material to the metal wire rope geometric model to obtain a metal wire rope mechanical model; Extracting and obtaining the monomer performance information based on the metal wire rope mechanical model; A monomer mechanical model is extracted from the metal wire rope mechanical model, and a numerical simulation is performed on the monomer mechanical model based on finite element analysis to obtain the monomer mechanical limit.

3. The heat treatment process optimization method for metal wire rope processing according to claim 1, characterized in that: Executing a wire drawing process analysis according to the raw material diameter parameter and the conceptual monomer diameter to obtain a target wire drawing process, the method further comprising: Calculate the wire drawing deformation ratio according to the raw material diameter parameter and the conceptual monomer diameter; The wire drawing deformation ratio and the conceptual monomer material are used to traverse the pre-constructed wire drawing pass number table to obtain the wire drawing pass number constraint; Dividing the drawing deformation ratio equally according to the drawing pass constraint to obtain K standard single-pass deformation amounts; Preset pass adjustment step length and pass adjustment limit; The target wire drawing process is determined by optimizing the monomer mechanical limit as the optimization target, the K standard single-pass deformation amounts as the optimization starting points, and the pass adjustment step length and pass adjustment limit as optimization constraints.

4. The heat treatment process optimization method for metal wire rope processing according to claim 3, characterized in that: Taking the monomer mechanical limit as the optimization target, taking the K standard single-pass deformation amounts as the optimization starting point, taking the pass adjustment step length and the pass adjustment limit as the optimization constraints, optimizing and determining the target wire drawing process, before that, the method further includes: Taking the conceptual monomer material as a material constraint, interactively obtaining a plurality of sample single-pass deformation amounts, a plurality of sample wire drawing control parameters, a plurality of monomer properties before wire drawing, and a plurality of monomer properties after wire drawing; A wire drawing performance prediction model is constructed based on the multiple sample single-pass deformation amounts, the multiple sample wire drawing control parameters, the multiple monomer properties before wire drawing, and the multiple monomer properties after wire drawing; Interactively obtain multiple historical safety control parameters of multiple historical single-pass deformation quantities, associate and store the multiple historical safety control parameters of the multiple historical single-pass deformation quantities based on the knowledge graph, and obtain a wire drawing control parameter matching table.

5. The heat treatment process optimization method for metal wire rope processing according to claim 4, characterized in that: Taking the monomer mechanical limit as the optimization target, taking the K standard single-pass deformation amounts as the optimization starting point, taking the pass adjustment step length and the pass adjustment limit as the optimization constraints, optimizing and determining the target wire drawing process, the method further includes: Preset a deformation variable deviation constraint, and use the K standard single-pass deformation variables to traverse the wire drawing control parameter matching table to obtain K sample safety control parameters, wherein the deviations of the K historical single-pass deformation variables mapped by the K sample safety control parameters and the K standard single-pass deformation variables satisfy the deformation variable deviation constraint; Inputting the monomer mechanical limit, K standard single-pass deformation amounts and K sample safety control parameters into the wire drawing performance prediction model to perform multi-level reverse prediction of wire drawing performance to obtain raw material performance prediction information; If the raw material property prediction information does not satisfy the raw material property measured information, adjusting the K standard single-pass deformation amounts based on the pass adjustment step length to obtain K first single-pass deformation amounts, and using the K first single-pass deformation amounts to traverse the wire drawing control parameter matching table to obtain K sample first control parameters; Inputting the monomer mechanical limit, K first single-pass deformation amounts and K sample first control parameters into the wire drawing performance prediction model to perform multi-level reverse prediction of wire drawing performance to obtain first performance prediction information; If the first performance prediction information satisfies the measured performance information of the raw material, the first control parameters of the K samples are used as the target wire drawing process; On the contrary, if the first performance prediction information does not satisfy the actual material performance information, the above process is executed until the target wire drawing process in which the performance prediction information satisfies the actual material performance information, or the number of optimization attempts reaches the pass adjustment limit, and the control parameter with the shortest Euclidean distance between the performance prediction information and the actual material performance information is obtained as the target wire drawing process.

6. The heat treatment process optimization method for metal wire rope processing according to claim 5, characterized in that: The monomer mechanical limit, K standard single-pass deformation amounts and K sample safety control parameters are input into the wire drawing performance prediction model to perform multi-level reverse prediction of wire drawing performance to obtain raw material performance prediction information, and the method further includes: Extracting a Kth standard single-pass deformation amount from the K standard single-pass deformation amounts, wherein the Kth standard single-pass deformation amount is the final wire drawing deformation amount; Invoke the Kth sample safety control parameter in the Kth sample safety control parameter mapping according to the Kth standard single-pass deformation amount; Inputting the Kth sample safety control parameter, the Kth standard single-pass deformation amount and the monomer mechanical limit into the wire drawing performance prediction model to perform a reverse prediction of the wire drawing performance, and obtain the K-1th intermediate performance prediction information; Extracting the K-1th standard single-pass deformation amount from the K standard single-pass deformation amounts, and calling the K-1th sample safety control parameter in the K sample safety control parameter mapping according to the K-1th standard single-pass deformation amount; Inputting the K-1th sample safety control parameter, the K-1th standard single-pass deformation amount and the K-1th intermediate performance prediction information into the wire drawing performance prediction model to perform a reverse prediction of the wire drawing performance, and obtain the K-2th intermediate performance prediction information; By analogy, the monomer mechanical limit, K standard single-pass deformation amounts and K sample safety control parameters are input into the wire drawing performance prediction model to perform multi-level reverse prediction of wire drawing performance to obtain the raw material performance prediction information.

7. The heat treatment process optimization method for metal wire rope processing according to claim 4, characterized in that: According to the measured information of raw material properties, monomer mechanical limit, monomer performance information and target wire drawing process, annealing process analysis is performed to obtain a global annealing process, and the method further includes: Perform annealing process analysis according to the measured information of raw material properties, monomer mechanical limit and target wire drawing process to obtain the intermediate annealing process; Performing annealing process analysis according to the monomer mechanical limit and the monomer performance information to obtain the stable annealing process; The intermediate annealing process and the stabilization annealing process are sequenced based on a process timing to obtain the global annealing process.

8. The heat treatment process optimization method for metal wire rope processing according to claim 7, characterized in that: Performing annealing process analysis according to the measured information of raw material properties, monomer mechanical limit and target wire drawing process to obtain the intermediate annealing process, the method further includes: Inputting K target wire drawing control parameters in the target wire drawing process and measured information on raw material performance into a wire drawing performance prediction model to perform multi-level forward prediction of wire drawing performance, and obtaining K intermediate raw material performance parameters; Using the monomer mechanical limit to traverse the K intermediate raw material performance parameters to locate and extract the annealing raw material performance parameters, and locate the intermediate annealing node; Interactively obtaining a plurality of sample measured performances, a plurality of sample target performances, and a plurality of sample annealing control parameters, and constructing and generating an annealing control analysis model based on the plurality of sample measured performances, the plurality of sample target performances, and the plurality of sample annealing control parameters; The annealing raw material performance parameters and the raw material performance measured information are synchronized to the annealing control analysis model to obtain the intermediate annealing process, wherein the intermediate annealing process adopts the intermediate annealing node identifier.

9. The heat treatment process optimization method for metal wire rope processing according to claim 8, characterized in that: Performing annealing process analysis according to the monomer mechanical limit and the monomer performance information to obtain the stable annealing process, the method further includes: According to the intermediate annealing node, M target wire drawing control parameters are obtained by screening from K target wire drawing control parameters of the target wire drawing process; Inputting the M target wire drawing control parameters and the measured information of raw material performance into the wire drawing performance prediction model to perform multi-level forward prediction of wire drawing performance to obtain the final wire drawing performance information; The final wire drawing performance information is used to update the monomer mechanical limit, and the final wire drawing performance information and the monomer performance information are synchronized to the annealing control analysis model to obtain the stable annealing process.

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