Fastener high-precision surface machining method based on image recognition

Abstract

The invention relates to the technical field of fastener surface machining, in particular to a fastener high-precision surface machining method based on image recognition, which comprises the following steps: finishing fastener thread machining by using a thread rolling machine; carrying out surface shot blasting treatment on the fastener; sampling and collecting a plurality of thread position images of the fastener after shot blasting to obtain the surface roughness and surface defect information of the thread after shot blasting; judging whether shot blasting treatment of the fastener meets a preset standard or not according to the shot blasting surface feature coefficient; the fastener is subjected to hot dip galvanizing treatment; performing a copper sulfate test to obtain a characteristic surface precipitation ratio of the fastener under a preset duration; judging whether the hot-dip galvanizing treatment of the fastener meets a preset standard or not according to the characteristic surface precipitation ratio; and surface oil coating and packaging are conducted on the fastener meeting the preset standard after hot-dip galvanizing treatment. According to the invention, the surface processing technology of the fastener is optimized through image recognition detection, and the quality of the fastener is improved.

Description

Technical Field

[0001] The invention relates to the technical field of fastener surface processing, and in particular to a fastener high-precision surface processing method based on image recognition. Background Art

[0002] Fasteners are one of the most widely used mechanical basic parts. There are many types of fasteners, and common fasteners include bolts, studs, screws, nuts, etc. The main function of fasteners is to connect and fasten parts to ensure the stability and safety of mechanical structures. Galvanizing the surface of fasteners is widely used in automobile manufacturing, machinery manufacturing, electrical manufacturing, construction and other fields. Especially in highly corrosive fields such as marine engineering and chemical industry, the anti-corrosion effect of galvanizing fasteners is particularly important. Hot-dip galvanizing, as a commonly used galvanizing process, has the advantages of strong corrosion resistance, easy operation and low cost.

[0003] China Patent Publication No.: CN108149179A discloses a hot-dip galvanizing production process for fasteners, including: chemical degreasing: in a degreasing tank equipped with an ultrasonic generator, a degreasing agent and ultrasonic waves are used to act on the fasteners, the degreasing temperature is 20-40 degrees, and the degreasing time is 1 minute; first water washing; second water washing; pickling; third water washing; dip-plating solvent; drying and preheating: drying and preheating the fasteners, the drying temperature is 80-100 degrees; first galvanizing: immersing the fasteners in a large galvanizing pot, the galvanizing temperature is 440-460 degrees; drying channel: preheating the transfer channel between the large galvanizing pot and the small galvanizing pot through the flue gas waste heat of the large zinc pot; second galvanizing: immersing the fasteners in a small galvanizing pot, the galvanizing temperature is 500-540 degrees; centrifugation; cooling; passivation. It can be seen that the above technical solution may result in low adhesion between the coating and the fasteners and increased costs due to the lack of monitoring of the surface conditions of the fasteners during the hot-dip galvanizing process. Summary of the invention

[0004] To this end, the present invention provides a high-precision surface processing method for fasteners based on image recognition, so as to overcome the problem in the prior art that the adhesion between the coating and the fasteners is low and the cost is increased due to the lack of monitoring of the surface conditions of the fasteners during the hot-dip galvanizing process.

[0005] To achieve the above object, the present invention provides a fastener high-precision surface processing method based on image recognition, comprising:

[0006] Step S1, using a thread rolling machine to complete fastener thread processing;

[0007] Step S2, setting shot peening parameters and performing shot peening treatment on the surface of the fastener, wherein the shot peening parameters include shot peening time, shot peening speed and shot peening flow rate;

[0008] Step S3, sampling and collecting a number of fastener thread position images after shot peening, and obtaining the thread surface roughness and surface defect information after shot peening according to the collected images, wherein the surface defect information includes surface cracks and surface defects;

[0009] Step S4, when obtaining the shot peening surface characteristic coefficient based on the surface defect information and determining that the shot peening of the fastener does not meet the preset standard according to the shot peening surface characteristic coefficient, secondarily determining whether the shot peening of the fastener meets the preset standard according to the surface roughness of the thread after shot peening, or reducing the shot peening speed;

[0010] Step S5, subjecting the fasteners that have been shot peened and meet the preset standards to hot-dip galvanizing;

[0011] Step S6, subjecting the hot-dip galvanized fastener to a copper sulfate test to obtain a characteristic surface precipitation percentage value of the fastener under a preset time;

[0012] Step S7, when it is determined according to the characteristic surface precipitation ratio that the hot-dip galvanizing treatment of the fastener does not meet the preset standard, increasing the duration of the hot-dip galvanizing treatment, or increasing the shot peening flow rate;

[0013] Step S8, applying oil to the surface of the hot-dip galvanized fasteners that meet the preset standards and encapsulating them.

[0014] Further, whether the shot peening of the fastener meets the preset standard is determined according to the shot peening surface characteristic coefficient, wherein:

[0015] If the shot peening surface feature coefficient is less than the first preset surface feature coefficient, it is determined that the shot peening of the fastener meets the preset standard, and the surface processing of the fastener is continued according to the current parameters;

[0016] If the shot peening surface feature coefficient is greater than or equal to the first preset surface feature coefficient and less than the second preset surface feature coefficient, it is determined that the shot peening of the fastener does not meet the preset standard, and a second determination is made based on the surface roughness of the thread after shot peening whether the shot peening of the fastener meets the preset standard;

[0017] If the shot peening surface feature coefficient is greater than or equal to the second preset surface feature coefficient, it is determined that the shot peening of the fastener does not meet the preset standard, and the shot peening speed is reduced according to the difference between the shot peening surface feature coefficient and the second preset surface feature coefficient.

[0018] Furthermore, the shot peening surface characteristic coefficient is determined by the thread surface cracks and surface defects after shot peening.

[0019] Further, the shot peening speed is reduced according to the difference between the shot peening surface characteristic coefficient and the second preset surface characteristic coefficient, wherein,

[0020] If the characteristic coefficient difference is less than the first preset characteristic coefficient difference, the shot peening speed is adjusted to a corresponding value using the first speed adjustment coefficient;

[0021] If the characteristic coefficient difference is greater than or equal to the first preset characteristic coefficient difference and less than the second preset characteristic coefficient difference, the shot peening speed is adjusted to a corresponding value using a second speed adjustment coefficient;

[0022] If the characteristic coefficient difference is greater than or equal to the second preset characteristic coefficient difference, the shot peening speed is adjusted to a corresponding value using a third speed adjustment coefficient;

[0023] The characteristic coefficient difference is the difference between the shot peening surface characteristic coefficient and the second preset surface characteristic coefficient.

[0024] Further, a second determination is made based on the surface roughness of the thread after shot peening whether the shot peening of the fastener meets the preset standard, wherein:

[0025] If the thread surface roughness is less than a preset roughness threshold, it is determined that the shot peening of the fastener meets the preset standard, and the surface processing of the fastener continues according to the current parameters;

[0026] If the thread surface roughness is greater than or equal to the preset roughness threshold, it is determined that the shot peening of the fastener does not meet the preset standard, and the shot peening time is increased according to the difference between the thread surface roughness and the preset roughness threshold.

[0027] Furthermore, the increase in the shot peening time is positively correlated with the difference between the thread surface roughness and the preset roughness threshold.

[0028] Further, the copper sulfate test includes:

[0029] Step S601, completing the preparation of copper sulfate solution;

[0030] Step S602, cleaning and drying the surface of the fastener;

[0031] Step S603, completely immersing the cleaned fastener in the copper sulfate solution for a preset time;

[0032] Step S604, taking out the immersed fastener, wiping the surface of the fastener with a test paper, and recording the ratio of the area of ​​the reddish-brown copper spot to the surface area of ​​the fastener as the characteristic surface precipitation ratio.

[0033] Further, whether the hot-dip galvanizing treatment of the fastener meets the preset standard is determined according to the characteristic surface precipitation ratio value, wherein:

[0034] If the characteristic surface precipitation ratio is less than the first preset precipitation ratio, it is determined that the hot-dip galvanizing treatment of the fastener meets the preset standard, and the surface processing of the fastener is continued according to the current parameters;

[0035] If the characteristic surface precipitation ratio is greater than or equal to the first preset precipitation ratio and less than the second preset precipitation ratio, it is determined that the hot-dip galvanizing treatment of the fastener does not meet the preset standard, and the duration of the hot-dip galvanizing treatment is increased according to the difference between the characteristic surface precipitation ratio and the first preset precipitation ratio;

[0036] If the characteristic surface deposition ratio is greater than or equal to the second preset deposition ratio, it is determined that the hot-dip galvanizing treatment of the fastener does not meet the preset standard, and the shot peening flow rate is increased according to the difference between the characteristic surface deposition ratio and the second preset deposition ratio.

[0037] Further, the duration of hot-dip galvanizing treatment is increased according to the difference between the characteristic surface precipitation ratio and the first preset precipitation ratio, wherein:

[0038] If the first precipitation ratio difference is less than the first preset precipitation ratio characteristic difference, the first duration adjustment coefficient is used to adjust the duration of the hot-dip galvanizing treatment to a corresponding value;

[0039] If the first precipitation ratio difference is greater than or equal to the first preset precipitation ratio characteristic difference and less than the second preset precipitation ratio characteristic difference, the second duration adjustment coefficient is used to adjust the duration of the hot-dip galvanizing treatment to a corresponding value;

[0040] If the first precipitation ratio difference is greater than or equal to the second preset precipitation ratio characteristic difference, the duration of the hot-dip galvanizing treatment is adjusted to a corresponding value using a third duration adjustment coefficient;

[0041] The first deposition ratio difference is the difference between the deposition ratio of the characteristic surface and the first preset deposition ratio.

[0042] Furthermore, the increase in the shot peening flow rate is positively correlated with the second deposition ratio difference, wherein the second deposition ratio difference is the difference between the characteristic surface deposition ratio and the second preset deposition ratio.

[0043] Compared with the prior art, the beneficial effects of the present invention are as follows: by sampling and collecting images of the thread positions of fasteners using image recognition technology, the roughness and surface defect information of the thread surface after shot peening can be accurately obtained, thereby achieving high-precision quality inspection.

[0044] Furthermore, shot peening can enhance the surface hardness and fatigue resistance of fasteners, thereby improving the durability and safety of products.

[0045] Furthermore, surface defect detection based on image recognition can accurately calculate the surface characteristic coefficient of shot peening, thereby judging whether the shot peening treatment meets the preset standards, avoiding over-treatment or under-treatment, and reducing production costs and energy consumption.

[0046] Furthermore, hot-dip galvanizing can provide fasteners with excellent corrosion resistance and extend the service life of the product.

[0047] Furthermore, by obtaining the characteristic surface precipitation ratio through the copper sulfate test, the effect of hot-dip galvanizing treatment can be accurately evaluated to ensure that the fasteners meet the anti-corrosion performance requirements.

[0048] Furthermore, the entire processing process is combined with image recognition technology to achieve automated and intelligent detection and control, improving production efficiency and product quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 It is a flow chart of a fastener high-precision surface processing method based on image recognition according to an embodiment of the present invention;

[0050] Figure 2 This is a flow chart of an embodiment of the present invention for determining whether the shot peening of a fastener meets a preset standard according to the shot peening surface characteristic coefficient;

[0051] Figure 3 This is a flow chart of determining whether the hot-dip galvanizing treatment of a fastener meets a preset standard according to a characteristic surface precipitation ratio value according to an embodiment of the present invention;

[0052] Figure 4 The present invention is a flow chart of increasing the duration of hot-dip galvanizing treatment according to the first precipitation ratio difference according to an embodiment of the present invention. DETAILED DESCRIPTION

[0053] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0054] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0055] See also Figure 1 , Figure 2 , Figure 3 as well as Figure 4As shown, they are respectively a flow chart of a high-precision surface processing method for fasteners based on image recognition according to an embodiment of the present invention; a flow chart of determining whether the shot peening of a fastener meets a preset standard according to a shot peening surface characteristic coefficient according to an embodiment of the present invention; a flow chart of determining whether the hot-dip galvanizing treatment of a fastener meets a preset standard according to a characteristic surface precipitation ratio value according to an embodiment of the present invention; a flow chart of increasing the duration of hot-dip galvanizing treatment according to a first precipitation ratio difference according to an embodiment of the present invention.

[0056] An embodiment of the present invention provides a high-precision surface processing method for a fastener based on image recognition, comprising:

[0057] Step S1, using a thread rolling machine to complete fastener thread processing;

[0058] Step S2, setting shot peening parameters and performing shot peening treatment on the surface of the fastener, wherein the shot peening parameters include shot peening time, shot peening speed and shot peening flow rate;

[0059] Step S3, sampling and collecting a number of fastener thread position images after shot peening, and obtaining the thread surface roughness and surface defect information after shot peening according to the collected images, wherein the surface defect information includes surface cracks and surface defects;

[0060] Step S4, when obtaining the shot peening surface characteristic coefficient based on the surface defect information and determining that the shot peening of the fastener does not meet the preset standard according to the shot peening surface characteristic coefficient, secondarily determining whether the shot peening of the fastener meets the preset standard according to the surface roughness of the thread after shot peening, or reducing the shot peening speed;

[0061] Step S5, subjecting the fasteners that have been shot peened and meet the preset standards to hot-dip galvanizing;

[0062] Step S6, subjecting the hot-dip galvanized fastener to a copper sulfate test to obtain a characteristic surface precipitation percentage value of the fastener at a preset time of 1 minute;

[0063] Step S7, when it is determined according to the characteristic surface precipitation ratio that the hot-dip galvanizing treatment of the fastener does not meet the preset standard, increasing the duration of the hot-dip galvanizing treatment, or increasing the shot peening flow rate;

[0064] Step S8, applying oil to the surface of the hot-dip galvanized fasteners that meet the preset standards and encapsulating them.

[0065] Specifically, the process of determining the shot peening surface characteristic coefficient by the thread surface cracks and surface defects after shot peening includes:

[0066] The first evaluation coefficient is assigned to the square root of the ratio of the surface crack ratio to the surface crack ratio threshold to obtain a crack evaluation value, wherein the first evaluation coefficient is 0.55 and the surface crack ratio threshold is 0.02%;

[0067] The second evaluation coefficient is assigned to the square root of the ratio of the surface defect ratio to the surface defect ratio threshold to obtain the defect evaluation value, wherein the second evaluation coefficient is 0.42 and the surface crack ratio threshold is 0.02%;

[0068] The sum of the crack evaluation value and the defect evaluation value is recorded as the shot peening surface characteristic coefficient.

[0069] Specifically, whether the shot peening of the fastener meets the preset standard is determined according to the shot peening surface characteristic coefficient, wherein:

[0070] If the shot peening surface feature coefficient is less than the first preset surface feature coefficient of 0.75, it is determined that the shot peening of the fastener meets the preset standard, and the surface processing of the fastener is continued according to the current parameters;

[0071] If the shot peening surface feature coefficient is greater than or equal to the first preset surface feature coefficient and less than the second preset surface feature coefficient 0.88, it is determined that the shot peening of the fastener does not meet the preset standard, and a second determination is made based on the surface roughness of the thread after shot peening whether the shot peening of the fastener meets the preset standard;

[0072] If the shot peening surface feature coefficient is greater than or equal to the second preset surface feature coefficient, it is determined that the shot peening of the fastener does not meet the preset standard, and the shot peening speed is reduced according to the difference between the shot peening surface feature coefficient and the second preset surface feature coefficient.

[0073] Specifically, the shot peening speed is reduced according to the difference between the shot peening surface feature coefficient and the second preset surface feature coefficient, wherein,

[0074] If the characteristic coefficient difference is less than the first preset characteristic coefficient difference of 0.13, the shot peening speed is adjusted to the corresponding value using the first speed adjustment coefficient of 0.99;

[0075] If the characteristic coefficient difference is greater than or equal to the first preset characteristic coefficient difference and less than the second preset characteristic coefficient difference of 0.22, the shot peening speed is adjusted to the corresponding value using the second speed adjustment coefficient of 0.95;

[0076] If the characteristic coefficient difference is greater than or equal to the second preset characteristic coefficient difference, the shot peening speed is adjusted to a corresponding value using a third speed adjustment coefficient of 0.90;

[0077] The characteristic coefficient difference is the difference between the shot peening surface characteristic coefficient and the second preset surface characteristic coefficient.

[0078] Specifically, it is characterized in that the shot peening treatment of the fastener meets the preset standard by secondarily judging the surface roughness of the thread after shot peening, wherein:

[0079] If the thread surface roughness is less than a preset roughness threshold of 3 μm, it is determined that the shot peening of the fastener meets the preset standard, and the surface processing of the fastener is continued according to the current parameters;

[0080] If the thread surface roughness is greater than or equal to the preset roughness threshold, it is determined that the shot peening of the fastener does not meet the preset standard, and the shot peening time is increased according to the difference between the thread surface roughness and the preset roughness threshold.

[0081] Specifically, the increase in the shot peening time is positively correlated with the difference between the thread surface roughness and the preset roughness threshold, wherein:

[0082] If the roughness difference is less than the first preset roughness difference of 0.5, the shot peening duration is adjusted to a corresponding value using the first preset duration adjustment coefficient of 1.012;

[0083] If the roughness difference is greater than or equal to the first preset roughness difference and less than the second preset roughness difference of 1.2, the shot peening duration is adjusted to a corresponding value using the second preset duration adjustment coefficient of 1.025;

[0084] If the roughness difference is greater than or equal to the second preset roughness difference, the shot peening duration is adjusted to a corresponding value using a third preset duration adjustment coefficient of 1.038;

[0085] The roughness difference is the difference between the thread surface roughness and the preset roughness threshold.

[0086] Specifically, the copper sulfate test includes:

[0087] Step S601, completing the preparation of copper sulfate solution;

[0088] Step S602, cleaning and drying the surface of the fastener;

[0089] Step S603, completely immersing the cleaned fastener in the copper sulfate solution for a preset time;

[0090] Step S604, taking out the immersed fastener, wiping the surface of the fastener with a test paper, and recording the ratio of the area of ​​the reddish-brown copper spot to the surface area of ​​the fastener as the characteristic surface precipitation ratio.

[0091] Specifically, the concentration of the copper sulfate solution is set to 0.10 mol / L.

[0092] Specifically, whether the hot-dip galvanizing treatment of the fastener meets the preset standard is determined according to the characteristic surface precipitation ratio value, wherein:

[0093] If the characteristic surface precipitation ratio is less than the first preset precipitation ratio of 0.02%, it is determined that the hot-dip galvanizing treatment of the fastener meets the preset standard, and the surface processing of the fastener is continued according to the current parameters;

[0094] If the characteristic surface precipitation ratio is greater than or equal to the first preset precipitation ratio and less than 0.05% of the second preset precipitation ratio, it is determined that the hot-dip galvanizing treatment of the fastener does not meet the preset standard, and the duration of the hot-dip galvanizing treatment is increased according to the difference between the characteristic surface precipitation ratio and the first preset precipitation ratio;

[0095] If the characteristic surface deposition ratio is greater than or equal to the second preset deposition ratio, it is determined that the hot-dip galvanizing treatment of the fastener does not meet the preset standard, and the shot peening flow rate is increased according to the difference between the characteristic surface deposition ratio and the second preset deposition ratio.

[0096] Specifically, the duration of hot-dip galvanizing treatment is increased according to the difference between the characteristic surface precipitation ratio and the first preset precipitation ratio, wherein:

[0097] If the first precipitation ratio difference is less than the first preset precipitation ratio characteristic difference of 0.01%, the first duration adjustment coefficient of 1.01 is used to adjust the duration of the hot-dip galvanizing treatment to a corresponding value;

[0098] If the first precipitation ratio difference is greater than or equal to the first preset precipitation ratio characteristic difference and less than 0.015% of the second preset precipitation ratio characteristic difference, the second duration adjustment coefficient 1.03 is used to adjust the duration of the hot-dip galvanizing treatment to a corresponding value;

[0099] If the first precipitation ratio difference is greater than or equal to the second preset precipitation ratio characteristic difference, the duration of the hot-dip galvanizing treatment is adjusted to a corresponding value using a third duration adjustment coefficient of 1.05;

[0100] The first deposition ratio difference is the difference between the deposition ratio of the characteristic surface and the first preset deposition ratio.

[0101] Specifically, the increase in the shot peening flow rate is positively correlated with the difference between the characteristic surface deposition ratio and the second preset deposition ratio, wherein:

[0102] If the second sedimentation ratio difference is less than the third preset sedimentation ratio characteristic difference of 0.02%, the shot peening flow rate is adjusted to a corresponding value using the first flow rate adjustment coefficient of 1.02;

[0103] If the second sedimentation ratio difference is greater than or equal to the third preset sedimentation ratio characteristic difference and less than 0.03% of the fourth preset sedimentation ratio characteristic difference, the shot peening flow rate is adjusted to the corresponding value using the second flow rate adjustment coefficient of 1.05;

[0104] If the second sedimentation ratio difference is greater than or equal to the fourth preset sedimentation ratio characteristic difference, the shot peening flow rate is adjusted to a corresponding value using a third flow adjustment coefficient of 1.08;

[0105] The second deposition ratio difference is the difference between the deposition ratio of the characteristic surface and the second preset deposition ratio.

[0106] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

[0107] The above description is only a preferred embodiment of the present invention and is 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 high-precision surface processing method for fasteners based on image recognition, characterized in that: include: Step S1, using a thread rolling machine to complete fastener thread processing; Step S2, setting shot peening parameters and performing shot peening treatment on the surface of the fastener, wherein the shot peening parameters include shot peening time, shot peening speed and shot peening flow rate; Step S3, sampling and collecting a number of fastener thread position images after shot peening, and obtaining the thread surface roughness and surface defect information after shot peening according to the collected images, wherein the surface defect information includes surface cracks and surface defects; Step S4, when obtaining the shot peening surface characteristic coefficient based on the surface defect information and determining that the shot peening of the fastener does not meet the preset standard according to the shot peening surface characteristic coefficient, secondarily determining whether the shot peening of the fastener meets the preset standard according to the surface roughness of the thread after shot peening, or reducing the shot peening speed; Step S5, subjecting the fasteners that have been shot peened and meet the preset standards to hot-dip galvanizing; Step S6, subjecting the hot-dip galvanized fastener to a copper sulfate test to obtain a characteristic surface precipitation percentage value of the fastener under a preset time; Step S7, when it is determined according to the characteristic surface precipitation ratio that the hot-dip galvanizing treatment of the fastener does not meet the preset standard, increasing the duration of the hot-dip galvanizing treatment, or increasing the shot peening flow rate; Step S8, applying oil to the surface of the hot-dip galvanized fasteners that meet the preset standards and encapsulating them.

2. The method for high-precision surface processing of fasteners based on image recognition according to claim 1, characterized in that: According to the shot peening surface characteristic coefficient, it is determined whether the shot peening of the fastener meets the preset standard, wherein: If the shot peening surface feature coefficient is less than the first preset surface feature coefficient, it is determined that the shot peening of the fastener meets the preset standard, and the surface processing of the fastener is continued according to the current parameters; If the shot peening surface feature coefficient is greater than or equal to the first preset surface feature coefficient and less than the second preset surface feature coefficient, it is determined that the shot peening of the fastener does not meet the preset standard, and a second determination is made based on the surface roughness of the thread after shot peening whether the shot peening of the fastener meets the preset standard; If the shot peening surface feature coefficient is greater than or equal to the second preset surface feature coefficient, it is determined that the shot peening of the fastener does not meet the preset standard, and the shot peening speed is reduced according to the difference between the shot peening surface feature coefficient and the second preset surface feature coefficient.

3. The high-precision surface processing method for fasteners based on image recognition according to claim 2 is characterized in that: The shot peening surface characteristic coefficient is determined by the thread surface cracks and surface defects after shot peening.

4. The method for high-precision surface processing of fasteners based on image recognition according to claim 3, characterized in that: The shot peening speed is reduced according to the difference between the shot peening surface feature coefficient and the second preset surface feature coefficient, wherein: If the characteristic coefficient difference is less than the first preset characteristic coefficient difference, the shot peening speed is adjusted to a corresponding value using the first speed adjustment coefficient; If the characteristic coefficient difference is greater than or equal to the first preset characteristic coefficient difference and less than the second preset characteristic coefficient difference, the shot peening speed is adjusted to a corresponding value using a second speed adjustment coefficient; If the characteristic coefficient difference is greater than or equal to the second preset characteristic coefficient difference, the shot peening speed is adjusted to a corresponding value using a third speed adjustment coefficient; The characteristic coefficient difference is the difference between the shot peening surface characteristic coefficient and the second preset surface characteristic coefficient.

5. The method for high-precision surface processing of fasteners based on image recognition according to claim 4, characterized in that: Secondary determination is made based on the surface roughness of the thread after shot peening whether the shot peening of the fastener meets the preset standard, wherein: If the thread surface roughness is less than a preset roughness threshold, it is determined that the shot peening of the fastener meets the preset standard, and the surface processing of the fastener continues according to the current parameters; If the thread surface roughness is greater than or equal to the preset roughness threshold, it is determined that the shot peening of the fastener does not meet the preset standard, and the shot peening time is increased according to the difference between the thread surface roughness and the preset roughness threshold.

6. The method for high-precision surface processing of fasteners based on image recognition according to claim 5, characterized in that: The increase in the shot peening time is positively correlated with the difference between the thread surface roughness and the preset roughness threshold.

7. The method for high-precision surface processing of fasteners based on image recognition according to claim 6, characterized in that: The copper sulfate test includes: Step S601, completing the preparation of copper sulfate solution; Step S602, cleaning and drying the surface of the fastener; Step S603, completely immersing the cleaned fastener in the copper sulfate solution for a preset time; Step S604, taking out the immersed fastener, wiping the surface of the fastener with a test paper, and recording the ratio of the area of ​​the reddish-brown copper spot to the surface area of ​​the fastener as the characteristic surface precipitation ratio.

8. The method for high-precision surface processing of fasteners based on image recognition according to claim 7, characterized in that: According to the characteristic surface precipitation ratio value, it is determined whether the hot-dip galvanizing treatment of the fastener meets the preset standard, wherein: If the characteristic surface precipitation ratio is less than the first preset precipitation ratio, it is determined that the hot-dip galvanizing treatment of the fastener meets the preset standard, and the surface processing of the fastener is continued according to the current parameters; If the characteristic surface precipitation ratio is greater than or equal to the first preset precipitation ratio and less than the second preset precipitation ratio, it is determined that the hot-dip galvanizing treatment of the fastener does not meet the preset standard, and the duration of the hot-dip galvanizing treatment is increased according to the difference between the characteristic surface precipitation ratio and the first preset precipitation ratio; If the characteristic surface deposition ratio is greater than or equal to the second preset deposition ratio, it is determined that the hot-dip galvanizing treatment of the fastener does not meet the preset standard, and the shot peening flow rate is increased according to the difference between the characteristic surface deposition ratio and the second preset deposition ratio.

9. The method for high-precision surface processing of fasteners based on image recognition according to claim 8, characterized in that: The duration of hot-dip galvanizing treatment is increased according to the difference between the characteristic surface precipitation ratio and the first preset precipitation ratio, wherein: If the first precipitation ratio difference is less than the first preset precipitation ratio characteristic difference, the first duration adjustment coefficient is used to adjust the duration of the hot-dip galvanizing treatment to a corresponding value; If the first precipitation ratio difference is greater than or equal to the first preset precipitation ratio characteristic difference and less than the second preset precipitation ratio characteristic difference, the second duration adjustment coefficient is used to adjust the duration of the hot-dip galvanizing treatment to a corresponding value; If the first precipitation ratio difference is greater than or equal to the second preset precipitation ratio characteristic difference, the duration of the hot-dip galvanizing treatment is adjusted to a corresponding value using a third duration adjustment coefficient; The first deposition ratio difference is the difference between the deposition ratio of the characteristic surface and the first preset deposition ratio.

10. The method for high-precision surface processing of fasteners based on image recognition according to claim 9, characterized in that: The increase in the shot peening flow rate is positively correlated with the second deposition ratio difference, wherein the second deposition ratio difference is the difference between the deposition ratio of the characteristic surface and the second preset deposition ratio.

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