A diamond wire cold drawing process optimization method and system based on artificial intelligence

Abstract

This invention discloses an artificial intelligence-based method and system for optimizing the cold drawing process of diamond wire, belonging to the technical field of diamond wire cold drawing process optimization. This invention collects the actual drawing speed, actual drawing force, and actual diameter reduction rate for each pass in real time, calculates the difference between the actual diameter reduction rate and the target diameter reduction rate for each pass, and dynamically adjusts the drawing speed and drawing force based on this difference, achieving real-time optimization of the production process. After the diamond wire cold drawing is completed, a diamond wire quality score is obtained based on the diameter reduction rate difference of each pass and the surface score of the cold-drawn diamond wire. When the diamond wire quality score is less than the score threshold, the target diameter reduction rate is lowered, so that the diameter reduction rate of each pass during cold drawing is reduced, thereby improving the quality of the diamond wire.

Description

Technical Field

[0001] The present invention relates to the technical field of diamond wire cold drawing process optimization, and in particular to an artificial intelligence-based diamond wire cold drawing process optimization method and system. Background Art

[0002] Diamond wire is an indispensable key material in high-tech industries such as solar photovoltaic, integrated circuits, and sapphire processing. Its production quality directly affects the performance and efficiency of downstream products. As a high-precision cutting tool, the wire diameter uniformity, surface roughness, diamond distribution density, and mechanical strength of diamond wire have a significant impact on the final cutting effect. For example, in the cutting of photovoltaic silicon wafers, high-quality diamond wire can significantly improve cutting efficiency, reduce cutting losses, and improve the surface quality of silicon wafers, thereby improving the conversion efficiency of solar cells.

[0003] The traditional cold drawing process of diamond wire mainly relies on the experience of operators and fixed process parameters, which has many limitations: first, human experience is difficult to accurately quantify, and second, the lack of real-time monitoring and adjustment mechanism makes it difficult to detect and correct abnormal conditions in the production process in time. These problems often lead to unstable product quality. Summary of the invention

[0004] In view of the above-mentioned deficiencies in the prior art, the present invention provides an artificial intelligence-based diamond wire cold drawing process optimization method and system which solves the problem that the process parameters of the existing diamond wire cold drawing process are fixed and cannot be adjusted in real time according to the monitoring parameters of the diamond wire cold drawing, resulting in unstable product quality.

[0005] In order to achieve the above-mentioned invention object, the technical solution adopted by the present invention is: a diamond wire cold drawing process optimization method based on artificial intelligence, comprising the following steps:

[0006] S1. Collect the actual drawing speed, actual drawing force and actual diameter reduction rate of each pass;

[0007] S2. Calculate the difference between the actual diameter reduction rate and the target diameter reduction rate;

[0008] S3. When the diameter reduction rate difference is not equal to 0, the drawing speed and drawing force in the cold drawing process are adjusted according to the adjustment coefficient of the diameter reduction rate difference;

[0009] S4. After the cold drawing of the diamond wire is completed, the quality score of the cold drawn diamond wire is evaluated based on the artificial intelligence model according to the difference in diameter reduction rate of each pass and the surface score of the cold drawn diamond wire;

[0010] S5. When the quality score of the diamond wire after cold drawing is less than the score threshold, lower the target diameter reduction rate.

[0011] Furthermore, the formula for calculating the difference between the actual diameter reduction rate and the target diameter reduction rate in S2 is: , where d i is the difference in diameter reduction rate of the i-th pass, r i is the actual reduction rate of the ith pass, r target,i is the target reduction rate for the i-th pass, and i is a positive integer.

[0012] Furthermore, S3 includes the following sub-steps:

[0013] S31. When the diameter reduction rate difference is not equal to 0, calculate the adjustment coefficient: , where γ i is the adjustment coefficient of the ith pass, d i is the difference in diameter reduction rate of the i-th pass, r target,i is the target diameter reduction rate of the i-th pass, i is a positive integer;

[0014] S32. According to the adjustment coefficient, based on the speed adjustment model, the drawing speed is adjusted, wherein the speed adjustment model is: , where v i+1 is the drawing speed of the i+1th pass, v i is the drawing speed of the i-th pass, θ v is the speed proportional coefficient;

[0015] S33, adjusting the pull-out force according to the adjustment coefficient and based on a pull-out force adjustment model, wherein the pull-out force adjustment model is: , where P i+1 is the pulling force of the i+1th pass, P i is the pulling force of the ith pass, θ P is the pull-out force proportionality coefficient.

[0016] Furthermore, the specific values ​​of the speed proportional coefficient and the pull-out force proportional coefficient are obtained by the following steps:

[0017] A1. According to the speed proportional coefficient and the pulling force proportional coefficient, the pulling speed is adjusted based on the speed adjustment model, and the pulling force is adjusted based on the pulling force adjustment model, and the nth diamond wire cold drawing experiment is performed, and the initial value of n is 1;

[0018] A2. Establish the objective function based on the difference in diameter reduction rate of each pass in the nth experiment;

[0019] A3. According to the target value of the objective function, adjust the speed proportional coefficient and the pull-out force proportional coefficient in the n+1th experiment, n is incremented by 1, and jump to step A1 until n=L, where L is the set number of experiments;

[0020] A4. Take the speed proportional coefficient and the pull-out force proportional coefficient that minimize the objective function in multiple experiments.

[0021] Furthermore, the objective function in A2 is: , where D is the target value, d i is the difference in diameter reduction rate of the i-th pass, i is a positive integer, | | is the absolute value operation, and N is the number of passes in which the diamond wire is pulled in one experiment.

[0022] Furthermore, the formula for adjusting the speed proportional coefficient in A3 is: ,in, is the adjusted speed proportional coefficient, θ v,0 is the speed proportional coefficient before adjustment, D is the target value, and e is the natural constant;

[0023] The formula for adjusting the pull-out force proportionality coefficient is: ,in, is the adjusted pull-out force proportional coefficient, θ P,0 is the pull-out force proportional coefficient before adjustment.

[0024] Further, the artificial intelligence model in S4 includes: a first fully connected layer and a second fully connected layer;

[0025] The first fully connected layer is used to calculate the initial score according to the difference in diameter reduction rate of each pass;

[0026] The second fully connected layer is used to calculate the quality score of the cold-drawn diamond wire according to the initial score and the surface score of the cold-drawn diamond wire.

[0027] Furthermore, the expression of the first fully connected layer is: , where X in is the initial score, d i is the difference in diameter reduction rate of the i-th pass, ω d,i is the weight parameter of the reduction rate difference of the i-th pass, b d,i is the bias parameter of the reduction rate difference of the i-th pass, i is a positive integer, and M is the number of times the diamond wire is actually pulled;

[0028] The expression of the second fully connected layer is: , where y is the quality score of the diamond wire after cold drawing, ω Xin The initial score X in The weight parameter, b Xin The initial score X in The bias parameter, X s is the surface score of the diamond wire after cold drawing, ω Xs The surface score of the diamond wire after cold drawing is X s The weight parameter, bXs The surface score of the diamond wire after cold drawing is X s The bias parameter of .

[0029] Furthermore, the S5 comprises the following sub-steps:

[0030] S51. When the quality score of the diamond wire after cold drawing is less than the score threshold, calculate the downward adjustment coefficient: , where μ is the downward adjustment coefficient, y is the quality score of the diamond wire after cold drawing, and y th is the scoring threshold, | | is the absolute value operation;

[0031] S52. According to the downward adjustment coefficient, reduce the target diameter reduction rate: , where r target,i is the target diameter reduction rate of the i-th pass, is the target diameter reduction rate of the i-th pass after downward adjustment, and i is a positive integer.

[0032] An artificial intelligence-based diamond wire cold drawing process optimization system, comprising: a collection unit, a diameter reduction rate difference calculation unit, an adjustment unit, an evaluation unit and a downward adjustment unit;

[0033] The collection unit is used to collect the actual drawing speed, actual drawing force and actual diameter reduction rate of each pass;

[0034] The diameter reduction rate difference calculation unit is used to calculate the diameter reduction rate difference between the actual diameter reduction rate and the target diameter reduction rate;

[0035] The adjustment unit is used to adjust the drawing speed and the drawing force in the cold drawing process according to the adjustment coefficient of the diameter reduction rate difference when the diameter reduction rate difference is not equal to 0;

[0036] The evaluation unit is used to evaluate the quality score of the cold-drawn diamond wire based on the artificial intelligence model according to the difference in diameter reduction rate of each pass and the surface score of the cold-drawn diamond wire after the cold-drawn diamond wire is completed;

[0037] The downward adjustment unit is used to adjust each target diameter reduction rate downward when the quality score of the diamond wire after cold drawing is less than the score threshold.

[0038] The beneficial effects of the present invention are as follows: the present invention collects the actual drawing speed, actual drawing force and actual diameter reduction rate of each pass in real time, calculates the diameter reduction rate difference between the actual diameter reduction rate of each pass and the target diameter reduction rate, and dynamically adjusts the drawing speed and the drawing force according to the difference, thereby realizing real-time optimization of the production process, and after the cold drawing of the diamond wire is completed, the quality score of the diamond wire is obtained according to the diameter reduction rate difference of each pass and the surface score of the diamond wire after cold drawing. When the quality score of the diamond wire is less than the score threshold, the target diameter reduction rate is lowered, so that the diameter reduction rate of each pass becomes smaller during each cold drawing, thereby improving the quality of the diamond wire.

[0039] The present invention can not only dynamically adjust process parameters according to real-time monitoring data, but also adaptively adjust the target diameter reduction rate based on the comprehensive quality evaluation results, effectively overcoming the limitations of traditional fixed parameter processes, significantly improving the flexibility and adaptability of the production process, and adjusting the adaptive process parameters according to the actual situation of the diamond wire being pulled, so as to stabilize the product quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 The figure is a flow chart of a diamond wire cold drawing process optimization method based on artificial intelligence. DETAILED DESCRIPTION

[0041] The specific implementation modes of the present invention are described below so that those skilled in the art can understand the present invention. However, it should be clear that the present invention is not limited to the scope of the specific implementation modes. For those of ordinary skill in the art, as long as various changes are within the spirit and scope of the present invention as defined and determined by the attached claims, these changes are obvious, and all inventions and creations utilizing the concept of the present invention are protected.

[0042] Example 1: Figure 1 As shown, a diamond wire cold drawing process optimization method based on artificial intelligence includes the following steps:

[0043] S1. Collect the actual drawing speed, actual drawing force and actual diameter reduction rate of each pass;

[0044] S2. Calculate the difference between the actual diameter reduction rate and the target diameter reduction rate;

[0045] S3. When the diameter reduction rate difference is not equal to 0, the drawing speed and drawing force in the cold drawing process are adjusted according to the adjustment coefficient of the diameter reduction rate difference;

[0046] S4. After the cold drawing of the diamond wire is completed, the quality score of the cold drawn diamond wire is evaluated based on the artificial intelligence model according to the difference in diameter reduction rate of each pass and the surface score of the cold drawn diamond wire;

[0047] S5. When the quality score of the diamond wire after cold drawing is less than the score threshold, lower the target diameter reduction rate.

[0048] In this embodiment, a corresponding target diameter reduction rate is set for each cold drawing pass of the diamond wire. The diameter reduction rate directly affects the mechanical properties and surface quality of the wire. The single-pass diameter reduction rate is usually between 5% and 25%, and the total diameter reduction rate is generally not more than 70%. The smaller the diameter reduction rate, the better the surface quality, but more passes are required.

[0049] The diameter reduction rate range for each pass of cold drawing of diamond wire is set as follows: 1st pass: 20-25%, 2nd pass: 15-20%, 3rd pass: 10-15%, 4th pass: 8-12%, 5th pass: 5-8%, and last pass: 3-5%.

[0050] The formula for calculating the difference between the actual diameter reduction rate and the target diameter reduction rate in S2 is: , where d i is the difference in diameter reduction rate of the i-th pass, r i is the actual reduction rate of the ith pass, r target,i is the target reduction rate for the i-th pass, and i is a positive integer.

[0051] The S3 comprises the following sub-steps:

[0052] S31. When the diameter reduction rate difference is not equal to 0, calculate the adjustment coefficient: , where γ i is the adjustment coefficient of the ith pass, d i is the difference in diameter reduction rate of the i-th pass, r target,i is the target diameter reduction rate of the i-th pass, i is a positive integer;

[0053] S32. According to the adjustment coefficient, based on the speed adjustment model, the drawing speed is adjusted, wherein the speed adjustment model is: , where v i+1 is the drawing speed of the i+1th pass, v i is the drawing speed of the i-th pass, θ v is the speed proportional coefficient;

[0054] S33, adjusting the pull-out force according to the adjustment coefficient and based on a pull-out force adjustment model, wherein the pull-out force adjustment model is: , where P i+1 is the pulling force of the i+1th pass, P i is the pulling force of the ith pass, θ P is the pull-out force proportionality coefficient.

[0055] When the actual diameter reduction rate is greater than the target diameter reduction rate, the adjustment coefficient is greater than 0, and the drawing speed and the drawing force are reduced. When the actual diameter reduction rate is less than the target diameter reduction rate, the adjustment coefficient is less than 0, and the drawing speed and the drawing force are increased, so that the diameter reduction rate increases.

[0056] The specific values ​​of the speed proportional coefficient and the pull-out force proportional coefficient are obtained by the following steps:

[0057] A1. According to the speed proportional coefficient and the pulling force proportional coefficient, the pulling speed is adjusted based on the speed adjustment model, and the pulling force is adjusted based on the pulling force adjustment model, and the nth diamond wire cold drawing experiment is performed, and the initial value of n is 1;

[0058] A2. Establish the objective function based on the difference in diameter reduction rate of each pass in the nth experiment;

[0059] A3. According to the target value of the objective function, adjust the speed proportional coefficient and the pull-out force proportional coefficient in the n+1th experiment, n is incremented by 1, and jump to step A1 until n=L, where L is the set number of experiments;

[0060] A4. Take the speed proportional coefficient and the pull-out force proportional coefficient that minimize the objective function in multiple experiments.

[0061] The objective function in A2 is: , where D is the target value, d i is the difference in diameter reduction rate of the i-th pass, i is a positive integer, | | is the absolute value operation, and N is the number of passes in which the diamond wire is pulled in one experiment.

[0062] The present invention selects a speed proportional coefficient and a pull-out force proportional coefficient that minimize the objective function through multiple experiments. In the first experiment, the first diamond wire cold drawing experiment is carried out based on the initial speed proportional coefficient and the initial pull-out force ratio to obtain the first target value. The speed proportional coefficient and the pull-out force proportional coefficient in the second experiment are adjusted according to the first target value to obtain the speed proportional coefficient and the pull-out force proportional coefficient of the second experiment. After L experiments, the speed proportional coefficient and the pull-out force proportional coefficient that minimize the objective function are selected, that is, the speed proportional coefficient and the pull-out force proportional coefficient that minimize the error between the actual diameter reduction rate and the target diameter reduction rate.

[0063] The formula for adjusting the speed proportional coefficient in A3 is: ,in, is the adjusted speed proportional coefficient, θ v,0 is the speed proportional coefficient before adjustment, D is the target value, and e is the natural constant;

[0064] The formula for adjusting the pull-out force proportionality coefficient is: ,in, is the adjusted pull-out force proportional coefficient, θ P,0 is the pull-out force proportional coefficient before adjustment.

[0065] In this embodiment, in the first experiment, the initial speed proportional coefficient and the initial pulling force proportional coefficient are both set to 1. The speed proportional coefficient adjustment and the pulling force proportional coefficient are adaptively adjusted according to the size of the target value, so that each actual diameter reduction rate approaches the target diameter reduction rate.

[0066] The artificial intelligence model in S4 includes: a first fully connected layer and a second fully connected layer;

[0067] The first fully connected layer is used to calculate the initial score according to the difference in diameter reduction rate of each pass;

[0068] The second fully connected layer is used to calculate the quality score of the cold-drawn diamond wire according to the initial score and the surface score of the cold-drawn diamond wire.

[0069] The surface score of the diamond wire after cold drawing can be reflected by the following indicators: surface roughness, wire diameter uniformity, diamond distribution density, diamond embedding depth, surface defects, surface cleanliness, diamond exposure, glossiness, etc.

[0070] In this embodiment, the surface score of the cold-drawn diamond wire is obtained by scoring the surface of the cold-drawn diamond wire.

[0071] The expression of the first fully connected layer is: , where X in is the initial score, d i is the difference in diameter reduction rate of the i-th pass, ω d,i is the weight parameter of the reduction rate difference of the i-th pass, b d,i is the bias parameter of the reduction rate difference of the i-th pass, i is a positive integer, and M is the number of times the diamond wire is actually pulled;

[0072] The expression of the second fully connected layer is: , where y is the quality score of the diamond wire after cold drawing, ω Xin The initial score X in The weight parameter, b Xin The initial score is X in The bias parameter, X s is the surface score of the diamond wire after cold drawing, ω Xs The surface score of the diamond wire after cold drawing is X s The weight parameter, b Xs The surface score of the diamond wire after cold drawing is X s The bias parameter of .

[0073] The S5 comprises the following sub-steps:

[0074] S51. When the quality score of the diamond wire after cold drawing is less than the score threshold, calculate the downward adjustment coefficient: , where μ is the downward adjustment coefficient, y is the quality score of the diamond wire after cold drawing, and y th is the scoring threshold, | | is the absolute value operation;

[0075] S52. According to the downward adjustment coefficient, reduce the target diameter reduction rate: , where r target,i is the target diameter reduction rate of the i-th pass, is the target diameter reduction rate of the i-th pass after downward adjustment, and i is a positive integer.

[0076] The invention obtains the quality score of the cold-drawn diamond wire according to the difference of the diameter reduction rate of each pass and the surface score of the cold-drawn diamond wire.

[0077] When the quality score of the diamond wire after cold drawing is less than the score threshold, the downward adjustment coefficient is calculated and the target diameter reduction rate is adjusted downward. Reducing the diameter reduction rate can reduce the internal stress of the material and reduce the generation of micro defects, thereby improving the overall strength and tensile properties of the diamond wire. A smaller diameter reduction rate can usually produce a smoother surface, reduce the generation of surface defects such as scratches and cracks, and improve the surface quality of the diamond wire after cold drawing. Reasonable setting of the target diameter reduction rate for each pass can effectively control the production process and improve product quality and production efficiency.

[0078] Embodiment 2: A diamond wire cold drawing process optimization system based on artificial intelligence, comprising: a collection unit, a diameter reduction rate difference calculation unit, an adjustment unit, an evaluation unit and a downward adjustment unit;

[0079] The collection unit is used to collect the actual drawing speed, actual drawing force and actual diameter reduction rate of each pass;

[0080] The diameter reduction rate difference calculation unit is used to calculate the diameter reduction rate difference between the actual diameter reduction rate and the target diameter reduction rate;

[0081] The adjustment unit is used to adjust the drawing speed and the drawing force in the cold drawing process according to the adjustment coefficient of the diameter reduction rate difference when the diameter reduction rate difference is not equal to 0;

[0082] The evaluation unit is used to evaluate the quality score of the cold-drawn diamond wire based on the artificial intelligence model according to the difference in diameter reduction rate of each pass and the surface score of the cold-drawn diamond wire after the cold-drawn diamond wire is completed;

[0083] The downward adjustment unit is used to downward adjust each target diameter reduction rate when the quality score of the diamond wire after cold drawing is less than the score threshold.

[0084] The specific implementation process of Example 2 is the same as that of Example 1.

[0085] The present invention collects the actual drawing speed, actual drawing force and actual diameter reduction rate of each pass in real time, calculates the diameter reduction rate difference between the actual diameter reduction rate of each pass and the target diameter reduction rate, and dynamically adjusts the drawing speed and the drawing force according to the difference, thereby realizing real-time optimization of the production process. After the cold drawing of the diamond wire is completed, the quality score of the diamond wire is obtained according to the diameter reduction rate difference of each pass and the surface score of the diamond wire after cold drawing. When the quality score of the diamond wire is less than the score threshold, each target diameter reduction rate is lowered, so that the diameter reduction rate of each pass becomes smaller during each cold drawing, thereby improving the quality of the diamond wire.

[0086] The present invention can not only dynamically adjust process parameters according to real-time monitoring data, but also adaptively adjust the target diameter reduction rate based on the comprehensive quality evaluation results, effectively overcoming the limitations of traditional fixed parameter processes, significantly improving the flexibility and adaptability of the production process, and adjusting the adaptive process parameters according to the actual situation of the diamond wire being pulled, so as to stabilize the product quality.

[0087] The above are only preferred embodiments of the present invention and are not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A diamond wire cold drawing process optimization method based on artificial intelligence, characterized in that: The following steps are involved: S1. Collect the actual drawing speed, actual drawing force and actual diameter reduction rate of each pass; S2. Calculate the difference between the actual diameter reduction rate and the target diameter reduction rate; S3. When the diameter reduction rate difference is not equal to 0, the drawing speed and drawing force in the cold drawing process are adjusted according to the adjustment coefficient of the diameter reduction rate difference; S4. After the cold drawing of the diamond wire is completed, the quality score of the cold drawn diamond wire is evaluated based on the artificial intelligence model according to the difference in diameter reduction rate of each pass and the surface score of the cold drawn diamond wire; S5. When the quality score of the diamond wire after cold drawing is less than the score threshold, lower the target diameter reduction rate; The S3 comprises the following sub-steps: S31. When the diameter reduction rate difference is not equal to 0, calculate the adjustment coefficient: , where γ i is the adjustment coefficient of the ith pass, d i is the difference in diameter reduction rate of the i-th pass, r target,i is the target diameter reduction rate of the i-th pass, i is a positive integer; S32. According to the adjustment coefficient, based on the speed adjustment model, the drawing speed is adjusted, wherein the speed adjustment model is: , where v i+1 is the drawing speed of the i+1th pass, v i is the drawing speed of the i-th pass, θ v is the speed proportional coefficient; S33, adjusting the pull-out force according to the adjustment coefficient and based on a pull-out force adjustment model, wherein the pull-out force adjustment model is: , where P i+1 is the pulling force of the i+1th pass, P i is the pulling force of the ith pass, θ P is the pull-out force proportional coefficient; The specific values ​​of the speed proportional coefficient and the pull-out force proportional coefficient are obtained by the following steps: A1. According to the speed proportional coefficient and the pulling force proportional coefficient, the pulling speed is adjusted based on the speed adjustment model, and the pulling force is adjusted based on the pulling force adjustment model, and the nth diamond wire cold drawing experiment is performed, where the initial value of n is 1, and n is a positive integer; A2. Establish the objective function based on the difference in diameter reduction rate of each pass in the nth experiment; A3. According to the target value of the objective function, adjust the speed proportional coefficient and the pull-out force proportional coefficient in the n+1th experiment, n is incremented by 1, and jump to step A1 until n=L, where L is the set number of experiments; A4. Take the speed proportional coefficient and the pull-out force proportional coefficient that minimize the objective function in multiple experiments; The objective function in A2 is: , where D is the target value, d i is the difference in diameter reduction rate of the i-th pass, i is a positive integer, | | is an absolute value operation, and N is the number of passes in which the diamond wire is pulled in one experiment; The formula for adjusting the speed proportional coefficient in A3 is: ,in, is the adjusted speed proportional coefficient, θ v,0 is the speed proportional coefficient before adjustment, D is the target value, and e is the natural constant; The formula for adjusting the pull-out force proportionality coefficient is: ,in, is the adjusted pull-out force proportional coefficient, θ P,0 is the pull-out force proportional coefficient before adjustment; The artificial intelligence model in S4 includes: a first fully connected layer and a second fully connected layer; The first fully connected layer is used to calculate the initial score according to the difference in diameter reduction rate of each pass; The second fully connected layer is used to calculate the quality score of the cold-drawn diamond wire according to the initial score and the surface score of the cold-drawn diamond wire; The expression of the first fully connected layer is: , where X in is the initial score, d i is the difference in diameter reduction rate of the i-th pass, ω d,i is the weight parameter of the reduction rate difference of the i-th pass, b d,i is the bias parameter of the reduction rate difference of the i-th pass, i is a positive integer, and M is the number of times the diamond wire is actually pulled; The expression of the second fully connected layer is: , where y is the quality score of the diamond wire after cold drawing, ω Xin The initial score is X in The weight parameter, b Xin The initial score is X in The bias parameter, X s is the surface score of the diamond wire after cold drawing, ω Xs The surface score of the diamond wire after cold drawing is X s The weight parameter, b Xs The surface score of the diamond wire after cold drawing is X s The bias parameters of The S5 comprises the following sub-steps: S51. When the quality score of the diamond wire after cold drawing is less than the score threshold, calculate the downward adjustment coefficient: , where μ is the downward adjustment coefficient, y is the quality score of the diamond wire after cold drawing, and y th is the scoring threshold, | | is the absolute value operation; S52. According to the downward adjustment coefficient, reduce the target diameter reduction rate: , where r target,i is the target diameter reduction rate of the i-th pass, is the target diameter reduction rate of the i-th pass after downward adjustment, and i is a positive integer.

2. The method for optimizing the cold drawing process of diamond wire based on artificial intelligence according to claim 1, characterized in that: The formula for calculating the difference between the actual diameter reduction rate and the target diameter reduction rate in S2 is: , where d i is the difference in diameter reduction rate of the i-th pass, r i is the actual reduction rate of the ith pass, r target,i is the target reduction rate for the i-th pass, and i is a positive integer.

3. A diamond wire cold drawing process optimization system based on artificial intelligence, implemented based on the diamond wire cold drawing process optimization method based on artificial intelligence according to any one of claims 1 to 2, characterized in that: include: Collection unit, diameter reduction rate difference calculation unit, adjustment unit, evaluation unit and downward adjustment unit; The collection unit is used to collect the actual drawing speed, actual drawing force and actual diameter reduction rate of each pass; The diameter reduction rate difference calculation unit is used to calculate the diameter reduction rate difference between the actual diameter reduction rate and the target diameter reduction rate; The adjustment unit is used to adjust the drawing speed and the drawing force in the cold drawing process according to the adjustment coefficient of the diameter reduction rate difference when the diameter reduction rate difference is not equal to 0; The evaluation unit is used to evaluate the quality score of the cold-drawn diamond wire based on the artificial intelligence model according to the difference in diameter reduction rate of each pass and the surface score of the cold-drawn diamond wire after the cold-drawn diamond wire is completed; The downward adjustment unit is used to adjust each target diameter reduction rate downward when the quality score of the diamond wire after cold drawing is less than the score threshold.

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