Analysis system based on anti-adhesion tool bit coating preparation data

Abstract

The invention discloses an analysis system based on anti-adhesion tool bit coating preparation data, and relates to the technical field of coating preparation data management. The analysis system based on the anti-adhesion tool bit coating preparation data comprises a plate offset analysis module, a preparation stability analysis module and an anti-adhesion error analysis module. According to the method, offset analysis is carried out on the coordinate positions of the to-be-prepared plates through the obtained correction parameters, meanwhile, whether the number of the to-be-prepared plates is judged according to the offset analysis result, and then whether preparation parameter optimization analysis is carried out or not is judged according to the preparation stability analysis result; and finally, whether a secondary tool cutting preparation instruction is sent or not is judged on the basis of the anti-adhesion error analysis result, so that the reliability of analysis of the preparation state of the anti-adhesion tool bit coating in the tool cutting preparation process is improved. The problem that in the prior art, the reliability of analysis of the preparation state of the anti-adhesion tool bit coating is not high in the cutting preparation process of a tool is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of coating preparation data management, and particularly to an analysis system based on anti-adhesion tool tip coating preparation data. Background Art

[0002] With the continuous development of modern manufacturing towards high precision, high efficiency, and high reliability, as a core component in machining, the performance of cutting tools directly determines the machining quality and production efficiency. In high-end manufacturing fields such as aerospace, automotive manufacturing, and mold processing, during high-speed cutting, cutting tools are prone to adhesion wear, resulting in shortened tool life, decreased machining surface quality, and even equipment shutdown. To solve this problem, anti-adhesion tool tip coating technology has emerged. This technology deposits a special coating on the tool surface, significantly reducing the friction coefficient and material adhesion tendency during cutting, thereby extending the tool life and improving machining accuracy.

[0003] In the existing technology, starting from integrating tool tip coating preparation process parameters (such as power, temperature, gas flow rate, etc.) and coating basic performance data (such as thickness, roughness, microstructure), a process-material database is constructed. At the same time, an ellipsometer or a white light interferometer is used to monitor the growth dynamics of the tool tip coating, and then a laser confocal microscope or an atomic force microscope is used to obtain the material composition value to analyze the influence of the surface morphology on adhesion. Subsequently, a friction and wear testing machine is used to measure the friction coefficient and wear rate when the tool tip coating contacts the target tissue, predict the anti-adhesion performance of the tool tip coating, and achieve the design of a tool tip coating with low friction and high thermal conductivity.

[0004] However, in the process of implementing the technical solution of the present invention in the embodiments of the present application, it is found that the above technology has at least the following technical problems: In the existing technology, relying only on limited key indicators (such as coating thickness, surface roughness, microstructure), ignoring key factors such as material composition gradient, leads to a deviation between the anti-adhesion performance evaluation and the actual working conditions, and it is impossible to accurately predict the failure mechanism of the coating under complex cutting conditions. When the prediction model processes complex process parameters, the prediction results have low reliability, and there is a problem of low reliability in analyzing the preparation state of the anti-adhesion tool tip coating corresponding to the anti-adhesion tool tip coating during the tool cutting preparation process. Summary of the Invention

[0005] By providing an analysis system based on anti-adhesion tool tip coating preparation data in the embodiments of the present application, the problem of low reliability in analyzing the preparation state of the anti-adhesion tool tip coating corresponding to the anti-adhesion tool tip coating during the tool cutting preparation process in the existing technology is solved, and the reliability of analyzing the preparation state of the anti-adhesion tool tip coating corresponding to the anti-adhesion tool tip coating during the tool cutting preparation process is improved.

[0006] The embodiment of the present application provides an analysis system based on the preparation data of an anti-adhesion tool head coating, including: a sheet offset analysis module, a preparation stability analysis module, and an anti-adhesion error analysis module; among them, the sheet offset analysis module is used to perform offset analysis on the coordinate position of the sheet to be prepared according to the obtained correction parameters to obtain an offset analysis result. The sheet to be prepared is the anti-adhesion tool head coating to be prepared on the preparation platform. The offset analysis is used to quantify the matching degree between the actual coordinate position of the sheet to be prepared and the to-be-prepared trajectory; the preparation stability analysis module is used to determine whether to perform the determination of the number of sheets to be prepared according to the offset analysis result. If the determination of the number of sheets to be prepared is performed, the preparation stability analysis of the first laser preparation process of the sheet to be prepared is performed based on the obtained preparation data to obtain a preparation stability analysis result. Otherwise, after the gain parameter optimization analysis, the determination of the preparation stability analysis result is performed. The preparation stability analysis is used to quantify the offset trend of the sheet to be prepared on the preparation platform under the influence of the preparation data. The gain parameter optimization analysis is used to quantify the restoration degree of the adjustment of the position loop gain and the speed loop gain to the offset degree of the sheet to be prepared; the anti-adhesion error analysis module is used to determine whether to perform the preparation parameter optimization analysis according to the preparation stability analysis result. If so, the preparation parameter optimization analysis process is monitored in real time. Otherwise, the anti-adhesion error analysis of the sheet sample after the first tool cutting preparation is performed to obtain an anti-adhesion error analysis result. At the same time, it is determined whether to send a second tool cutting preparation instruction based on the anti-adhesion error analysis result. The preparation parameter optimization analysis is used to analyze the restoration degree of the adjustment of the auxiliary gas pressure and the tool cutting power to the preparation stability of the sheet to be prepared. The anti-adhesion error analysis is used to quantify the anti-adhesion performance corresponding to the sheet sample after the first tool cutting preparation.

[0007] One or more technical solutions provided in the embodiment of the present application have at least the following technical effects or advantages: 1. By performing offset analysis on the coordinate position of the sheet to be prepared according to the obtained correction parameters, and at the same time determining whether to perform the determination of the number of sheets to be prepared according to the offset analysis result, then determining whether to perform the preparation parameter optimization analysis according to the preparation stability analysis result, and finally determining whether to send a second tool cutting preparation instruction based on the anti-adhesion error analysis result, the consistency of the production efficiency and production quality of the sheet to be prepared is realized. Furthermore, the reliability of the analysis of the preparation state of the anti-adhesion tool head coating corresponding to the anti-adhesion tool head coating in the tool cutting preparation process is improved, effectively solving the problem of low reliability of the analysis of the preparation state of the anti-adhesion tool head coating corresponding to the anti-adhesion tool head coating in the tool cutting preparation process in the prior art.

[0008] 2. By obtaining the degree of difference between the X-direction offset and the maximum allowable X-direction offset in the database, and combining with the introduced X-direction offset correction amount for compensation and correction, the X-direction offset-related score is obtained. At the same time, the result of geometric mean processing of the obtained X-direction offset-related score and the Y-direction offset-related score is coupled with the rotation angle offset-related score to obtain the coordinate offset analysis value, thereby improving the accuracy of obtaining the coordinate offset analysis value, and further realizing a more accurate analysis of the matching degree between the actual coordinate position of the to-be-prepared plate and the to-be-prepared trajectory.

[0009] 3. By judging that the obtained safety distance is not less than the safety distance set value in the data and the obtained overlapping area is not greater than the overlapping area set value in the database, and then judging whether to perform linear coupling processing on the obtained coordinate offset analysis value coefficient, cutting speed-related score and safety distance-related score to obtain the first preparation stability analysis value, and performing linear coupling processing on the obtained coordinate offset analysis value coefficient, cutting speed-related score and overlapping area-related score to obtain the second preparation stability analysis value, thereby improving the accuracy of obtaining the preparation stability analysis value, and further realizing a more accurate analysis of the offset trend of the to-be-prepared plate on the preparation platform under the influence of the preparation data.

[0010] 4. By dynamically adjusting the auxiliary gas pressure and the cutting power of the tool, effectively coping with the unstable factors in the preparation process, reducing the plate offset, improving the stability of the preparation process, ensuring the consistency of the preparation quality of the anti-adhesion tool head coating. At the same time, using the PID control algorithm to accurately adjust the cutting power of the tool, realizing the optimization of the cutting process parameters, improving the cutting accuracy and efficiency, reducing the coating defects and plate scrap caused by unreasonable parameters, and being able to adapt to the preparation requirements of different materials and different specifications of plates, reducing production losses. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] Figure 1 It is a schematic structural diagram of an analysis system based on anti-adhesion tool head coating preparation data provided by an embodiment of the present application; Figure 2 It is a specific flowchart of a preparation stability analysis module provided by an embodiment of the present application; Figure 3 It is a specific flowchart of an anti-adhesion error analysis module provided by an embodiment of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0012] The embodiment of the present application provides an analysis system based on the preparation data of the anti-adhesion tool tip coating, which solves the problem of low reliability in analyzing the preparation state of the anti-adhesion tool tip coating during the tool cutting preparation process in the prior art. The sheet offset analysis module performs offset analysis on the coordinate position of the sheet to be prepared according to the obtained correction parameters to obtain an offset analysis result. Then, the preparation stability analysis module determines whether to perform the determination of the number of sheets to be prepared according to the offset analysis result. If the determination of the number of sheets to be prepared is performed, the preparation stability analysis of the first laser preparation process of the sheet to be prepared is performed based on the obtained preparation data to obtain a preparation stability analysis result. Otherwise, after performing the gain parameter optimization analysis, the determination of the preparation stability analysis result is performed. Finally, the anti-adhesion error analysis module determines whether to perform the preparation parameter optimization analysis according to the preparation stability analysis result. If so, the preparation parameter optimization analysis process is monitored in real time. Otherwise, the anti-adhesion error analysis of the sheet sample after the first tool cutting preparation is performed to obtain an anti-adhesion error analysis result. At the same time, it is determined whether to send a second tool cutting preparation instruction based on the anti-adhesion error analysis result, achieving an improvement in the reliability of analyzing the preparation state of the anti-adhesion tool tip coating during the tool cutting preparation process.

[0013] The technical solution in the embodiment of the present application is to solve the problem of low reliability in analyzing the preparation state of the anti-adhesion tool tip coating during the tool cutting preparation process. The general idea is as follows: Perform offset analysis on the coordinate position of the sheet to be prepared according to the obtained correction parameters, and at the same time determine whether to perform the determination of the number of sheets to be prepared according to the offset analysis result. Then, determine whether to perform the preparation parameter optimization analysis according to the preparation stability analysis result. Finally, determine whether to send a second tool cutting preparation instruction based on the anti-adhesion error analysis result, achieving the effect of improving the reliability of analyzing the preparation state of the anti-adhesion tool tip coating during the tool cutting preparation process.

[0014] To better understand the above technical solution, the above technical solution will be described in detail below in combination with the accompanying drawings of the specification and specific embodiments.

[0015] As Figure 1 shown, it is a schematic structural diagram of an analysis system based on the preparation data of the anti-adhesion tool tip coating provided by the embodiment of the present application. The analysis system based on the preparation data of the anti-adhesion tool tip coating provided by the embodiment of the present application includes: a sheet offset analysis module, a preparation stability analysis module, and an anti-adhesion error analysis module.

[0016] The sheet offset analysis module is used to perform offset analysis on the coordinate position of the to-be-prepared sheet according to the obtained correction parameters, and obtain the offset analysis result. The to-be-prepared sheet is the anti-adhesion tool head coating to be prepared on the preparation platform. The correction parameters include the X-direction offset amount, the Y-direction offset amount, and the rotation angle offset amount. The offset analysis is used to quantify the matching degree between the actual coordinate position of the to-be-prepared sheet and the to-be-prepared trajectory.

[0017] Among them, performing offset analysis on the coordinate position of the to-be-prepared sheet according to the obtained correction parameters, the specific steps include: First, obtain the degree of difference between the X-direction offset amount and the maximum allowable X-direction offset amount in the database, and perform compensation and correction in combination with the introduced X-direction offset amount correction amount to obtain the X-direction offset amount related score; the X-direction offset amount related score The specific limiting expression is: , in the formula, represents the X-direction offset amount related score of the to-be-prepared sheet on the preparation platform within the preset analysis period, represents the X-direction offset amount correction amount, represents the X-direction offset amount of the to-be-prepared sheet on the preparation platform within the preset analysis period, represents the maximum allowable X-direction offset amount. The X-direction offset amount and the maximum allowable X-direction offset amount have the same unit, both in micrometers (μm). The maximum allowable X-direction offset amount is represented by the result of summing and averaging the maximum values of the historical X-direction offset amounts of the to-be-prepared sheet on the preparation platform in each historical analysis period in the database.

[0018] Then, obtain the degree of difference between the Y-direction offset amount and the maximum allowable Y-direction offset amount in the database, and perform compensation and correction in combination with the introduced Y-direction offset amount correction amount to obtain the Y-direction offset amount related score; the Y-direction offset amount related score The specific limiting expression is: , in the formula, represents the Y-direction offset amount related score of the to-be-prepared sheet on the preparation platform within the preset analysis period, represents the Y-direction offset amount correction amount, represents the Y-direction offset amount of the to-be-prepared sheet on the preparation platform within the preset analysis period, represents the maximum allowable Y-direction offset amount. The Y-direction offset amount and the maximum allowable Y-direction offset amount have the same unit, both in micrometers (μm). The maximum allowable Y-direction offset amount is represented by the result of summing and averaging the maximum values of the historical Y-direction offset amounts of the to-be-prepared sheet on the preparation platform in each historical analysis period in the database.

[0019] Next, obtain the degree of difference between the rotation angle offset and the maximum allowable rotation angle offset in the database, and perform compensation and correction in combination with the introduced rotation angle offset correction amount to obtain the rotation angle offset-related score; the rotation angle offset-related score The specific limiting expression is: , where in the formula represents the rotation angle offset-related score of the plate to be prepared on the preparation platform within the preset analysis period, represents the rotation angle offset correction amount, represents the rotation angle offset of the plate to be prepared on the preparation platform within the preset analysis period, represents the maximum allowable rotation angle offset. The rotation angle offset and the maximum allowable rotation angle offset have the same unit, both in micrometers (μm). The maximum allowable rotation angle offset is represented by the result of summing and averaging the maximum values of the historical rotation angle offsets of the plate to be prepared on the preparation platform in each historical analysis period in the database.

[0020] Finally, perform coupling processing on the result of geometric mean processing of the obtained X-direction offset-related score and Y-direction offset-related score with the rotation angle offset-related score to obtain the coordinate offset analysis value. The coordinate offset analysis value is used to quantify the degree of coordinate position offset of the plate to be prepared by the correction parameter within the preset analysis period. The coordinate offset analysis value The specific limiting expression is: , where in the formula represents the coordinate offset analysis value of the plate to be prepared on the preparation platform within the preset analysis period.

[0021] In the offset analysis of this example, the X-direction offset, Y-direction offset, and rotation angle offset are monitored by a binocular vision sensor combined with computer-aided geometric analysis. There is a non-linear correlation between the X / Y offsets (such as the offset changing proportionally due to rotation). At this time, the geometric mean can effectively capture this relationship. Compared with the arithmetic mean, the geometric mean is less sensitive to extreme values. The geometric mean processing can more accurately reflect the degree of coordinate offset by non-linearly synthesizing multiple indicators, especially suitable for offsets with a proportional relationship. Combined with the optimization of dynamic gain parameters, the positioning accuracy of the preparation machine tool can be significantly improved.

[0022] The aforementioned database was established before the design of the analysis system based on the data of the anti-adhesion tool head coating preparation for storing various setting data. The database includes, but is not limited to, preset coordinate offset analysis values, preset preparation stability analysis values, preset analysis time periods, and one-time preparation time periods. Various values therein are directly set by technicians. Among them, the setting basis of the preset coordinate offset analysis value can be determined according to the actual preparation scenario of the plate to be prepared. For example, the preset coordinate offset analysis value is represented by the result of summing and averaging the historical coordinate offset analysis values of the plate to be prepared on the preparation platform in the database during the historical analysis period. In addition, various values in the database can be set and fine-tuned by technicians according to actual debugging.

[0023] In the database, for the coordinate offset analysis value, a series of correction amounts have been preset. There is a clear and predefined association pattern among these correction amounts, the X-direction offset amount, the Y-direction offset amount, and the rotation angle offset amount. This association is not randomly formed, and its manifestation form can be one-to-one correspondence or many-to-one mapping. For example, in practical applications, when it is necessary to evaluate the matching degree between the actual coordinate position of the plate to be prepared and the to-be-prepared trajectory, the system allows users to directly input the real-time monitored X-direction offset amount, Y-direction offset amount, and rotation angle offset amount into this preset association system, and can quickly and accurately analyze the correction amount that matches the input parameters, that is, the X-direction offset amount correction amount, the Y-direction offset amount correction amount, and the rotation angle offset amount correction amount.

[0024] Particularly crucial is that in order to ensure the unity and comparability of the evaluation results, the value ranges of the three correction amounts in this system are all limited to the interval from 0 to 1, and the sum of these three correction amounts is always equal to 1.

[0025] In this embodiment, the coordinate offset analysis value increases as the X-direction offset amount, the Y-direction offset amount, and the rotation angle offset amount increase. Among them, in the three-dimensional space coordinate system, the translational offsets in the X-direction and Y-direction will change the relative position between the plate and the tool, thereby affecting the geometric shape of the cutting trajectory, while the rotation angle offset will make the originally regular cutting path become irregular. This combined effect of translation and rotation is not a simple linear superposition, but there is a non-linear interaction effect.

[0026] By considering the above mutual influence mechanism, it is helpful to construct a more accurate coordinate offset analysis model. This model can comprehensively consider the coupling effect between the offset amounts in the X and Y directions and the rotation angle offset amount, and more accurately simulate and predict the actual position and attitude of the sheet during the cutting process. Based on this model, a more reliable evaluation can be carried out on the preparation state of the anti-adhesion tool head coating corresponding to the sheet to be prepared during the tool cutting preparation process, thereby realizing an improvement in the reliability of the analysis of the preparation state of the anti-adhesion tool head coating during the tool cutting preparation process.

[0027] As Figure 2 shown, it is the specific flowchart of the preparation stability analysis module provided by the embodiment of the present application. The preparation stability analysis module is used to judge whether to perform the determination of the number of sheets to be prepared according to the offset analysis result. If the determination of the number of sheets to be prepared is performed, the preparation stability analysis of the primary laser preparation process of the sheet to be prepared is carried out based on the obtained preparation data to obtain the preparation stability analysis result. Otherwise, after the gain parameter optimization analysis, the determination of the preparation stability analysis result is carried out. The preparation stability analysis is used to quantify the offset trend of the sheets to be prepared on the preparation platform under the influence of the preparation data, and the gain parameter optimization analysis is used to quantify the recovery degree of the adjustment of the position loop gain and the speed loop gain on the offset degree of the sheets to be prepared.

[0028] If the determination of the number of sheets to be prepared is performed, it indicates that the positioning of the sheets to be prepared is qualified. On the contrary, it indicates that the positioning of the sheets to be prepared is unqualified, and the gain parameter optimization analysis is executed. This analysis aims to quantify the recovery degree of the adjustment of the position loop gain and the speed loop gain on the offset degree of the sheets to be prepared. During the analysis process, it is judged whether the deviation of the speed loop response speed is not greater than the value in the database and whether the deviation of the coordinate offset analysis value within the number of times of the decrease of the position loop gain is not greater than 0. If the above conditions are not met, the preset personnel are prompted to intervene. If the conditions are met, after the gain parameter optimization analysis is completed, the determination of the preparation stability analysis result still needs to be carried out until the positioning of the sheets to be prepared is qualified, and then the determination of the number of sheets to be prepared is performed.

[0029] In this embodiment, for the sheets with unqualified positioning, through the gain parameter optimization analysis, the relevant parameters can be adjusted to improve the positioning accuracy and ensure the accurate position of the sheets during the subsequent preparation process. The gain parameter optimization analysis not only adjusts for the offset problem, but also comprehensively optimizes the preparation parameters according to data such as the speed loop response speed deviation and the number of times of the decrease of the position loop gain, which helps to improve the stability and efficiency of the entire preparation process. The number of sheets to be prepared is also judged in the process, and different processing strategies are adopted according to the number of sheets (single sheet or multiple sheets). The entire process systematically solves the problems of response lag and parameter rigidity of traditional PID control under complex working conditions through a three-level architecture of "offset trend prediction - gain self-healing - closed-loop feedback".

[0030] Furthermore, it is determined whether to determine the number of plates to be prepared based on the offset analysis results. The specific process is as follows: if the obtained coordinate offset analysis value is not greater than the coordinate offset analysis value preset in the database, the offset analysis result is recorded as qualified positioning of the plates to be prepared and the number of plates to be prepared is determined; if the obtained coordinate offset analysis value is greater than the coordinate offset analysis value preset in the database, the offset analysis result is recorded as unqualified positioning of the plates to be prepared and a gain parameter optimization analysis is performed. The gain parameters include position loop gain and speed loop gain, which represent the parameters of the servo motor. The position loop gain is used to control the followability of the servo motor corresponding to the plate to be prepared to the position command to improve the positioning accuracy and response speed; the speed loop gain is used to control the stability of the speed of the servo motor corresponding to the plate to be prepared to suppress speed fluctuations.

[0031] Specifically, the specific process of gain parameter optimization analysis is as follows: based on the obtained coordinate offset analysis value deviation and position loop response speed deviation, the position loop gain reduction amplitude of the servo motor corresponding to the preparation machine tool is mapped in the database; the coordinate offset analysis value deviation is used to quantify the difference between the obtained coordinate offset analysis value and the preset coordinate offset analysis value, that is, the difference between the obtained coordinate offset analysis value and the preset coordinate offset analysis value; the position loop response speed deviation is used to quantify the difference between the actual position loop response speed obtained by the plate to be prepared on the preparation platform at the end of the preset analysis period and the reference position loop response speed in the database, that is, the difference between the actual position loop response speed and the reference position loop response speed; the reference position loop response speed is represented by the sum and average of the historical position loop response speeds obtained by the plate to be prepared on the preparation platform at the end of the historical analysis period in the database; if the speed obtained after a position loop gain reduction is If the speed loop response speed deviation is not greater than the speed loop response speed deviation in the database, the speed loop gain reduction amplitude of the servo motor corresponding to the preparation machine tool is obtained by mapping in the database the re-acquired coordinate offset analysis value deviation and the speed loop response speed deviation; within the preset speed loop gain reduction times, if the re-acquired coordinate offset analysis value deviation is not greater than 0, a gain parameter optimization analysis completion instruction is sent and the number of plates to be prepared is determined, otherwise the preset personnel is prompted to intervene. The speed loop response speed deviation is used to quantify the difference between the actual speed loop response speed obtained for the plates to be prepared on the preparation platform at the end of the preset analysis period and the reference speed loop response speed in the database, that is, the difference between the actual speed loop response speed and the reference speed loop response speed. The reference speed loop response speed is represented by the sum and average of the historical speed loop response speeds obtained for the plates to be prepared on the preparation platform at the end of the historical analysis period in the database.

[0032] In this embodiment, the positioning of the sheet is strictly determined through the offset analysis results, and only the sheets with qualified positioning are allowed to enter the quantity determination link, avoiding the sheet processing quality problems caused by positioning deviation from the source. At the same time, optimizing the equipment performance gain parameter optimization analysis process can accurately adjust the position loop gain and speed loop gain according to the actual coordinate offset and response speed deviation, effectively improving the control performance of the servo motor, avoiding production stagnation caused by equipment problems, effectively improving the overall production efficiency, and then realizing the intelligent management of sheet positioning and equipment parameter adjustment.

[0033] Further, the specific process for determining the quantity of sheets to be prepared is as follows: If the quantity of sheets to be prepared is 1, it is determined as a single sheet to be prepared, and the safety distance in the corresponding placement area on the preparation platform for the single sheet to be prepared is obtained (i.e., the distance between the edge of the single sheet to be prepared and the boundary of the preparation platform). At the same time, based on the obtained safety distance deviation, it is judged whether to send a sheet fixed position adjustment instruction. The safety distance deviation represents the difference between the safety distance set value in the database and the obtained safety distance; If the quantity of sheets to be prepared is not 1, it is determined as multiple sheets to be prepared, and the overlapping area of the multiple sheets to be prepared in the corresponding placement area on the preparation platform is obtained. At the same time, based on the obtained overlapping area deviation, it is judged whether to send a sheet placement order adjustment instruction and obtain the preparation data. The overlapping area deviation represents the difference between the overlapping area set value in the database and the obtained overlapping area.

[0034] Among them, the preparation data includes the first preparation parameter and the second preparation parameter; The first preparation parameter represents the preparation data corresponding to a single sheet to be prepared during a single laser preparation process, specifically including the coordinate offset analysis value, cutting speed, and safety distance; The second preparation parameter represents the preparation data corresponding to multiple sheets to be prepared during a single laser preparation process, specifically including the coordinate offset analysis value, cutting speed, and overlapping area; The cutting speed is monitored through the cooperation of a high-precision laser displacement sensor and a high-speed timer, the safety distance is monitored through a binocular vision sensor combined with an image processing algorithm, and the overlapping area is monitored through a binocular vision sensor combined with computer-aided geometric analysis.

[0035] In this embodiment, whether it is a single sheet to be prepared or multiple sheets to be prepared, accurately obtaining relevant parameters and performing deviation analysis can ensure that the laser preparation process is carried out under the best parameter conditions. For a single sheet to be prepared, an appropriate safety distance helps to ensure the flatness and accuracy of the cutting edge. For multiple sheets to be prepared, a reasonable overlapping area and placement order can optimize the laser cutting path, realizing the automatic acquisition and analysis of parameters such as the quantity of sheets to be prepared, safety distance, and overlapping area, avoiding production interruptions and rework situations caused by inappropriate parameters or improper sheet placement, thus improving production efficiency and shortening the product production cycle.

[0036] Further, perform preparation stability analysis on the primary laser preparation process of the to-be-prepared sheet based on the obtained preparation data. The specific steps include: Compensate and correct the obtained coordinate offset analysis value through the introduced coordinate offset analysis value correction amount to obtain the coordinate offset analysis value coefficient. The coordinate offset analysis value coefficient has the following specific limiting expression: , where represents the coordinate offset analysis value coefficient of the to-be-prepared sheet on the preparation platform at the end of the primary preparation period, represents the coordinate offset analysis value correction amount, represents the coordinate offset analysis value of the to-be-prepared sheet on the preparation platform within the preset analysis period.

[0037] Compensate and correct the relative difference degree between the obtained actual cutting speed and the reference cutting speed in the database through the introduced cutting speed correction amount to obtain the cutting speed-related score. The cutting speed-related score has the following specific limiting expression: , where represents the cutting speed-related score of the to-be-prepared sheet on the preparation platform at the end of the primary preparation period, represents the cutting speed correction amount, represents the actual cutting speed of the to-be-prepared sheet on the preparation platform at the end of the primary preparation period, represents the reference cutting speed. The actual cutting speed and the reference cutting speed have the same unit, both being millimeters per second (mm / s). The reference cutting speed is represented by the result of summing and averaging the historical cutting speeds of the to-be-prepared sheet on the preparation platform at the end of the historical primary preparation periods in the database.

[0038] When the obtained safety distance is not less than the safety distance set value in the data, perform linear coupling processing on the obtained coordinate offset analysis value coefficient, cutting speed-related score, and safety distance-related score to obtain the first preparation stability analysis value. The first preparation stability analysis value is used to quantify the interference degree of the first preparation parameter on the preparation stability of the to-be-prepared single sheet. Among them, the safety distance-related score represents the result of correcting the difference degree between the obtained safety distance and the safety distance set value in the data by the safety distance correction amount; the safety distance-related score has the following specific limiting expression: , where represents the safety distance-related score of the to-be-prepared single sheet on the preparation platform at the end of the primary preparation period, represents the safety distance correction amount, represents the safety distance of the to-be-prepared single sheet on the preparation platform at the end of the primary preparation period, Denote the safety distance set value. The unit of the safety distance is the same as that of the safety distance set value, both being millimeters (mm). The safety distance set value is represented by the result of summing and averaging the historical safety distances of the single plate to be prepared on the preparation platform in the database at the end of the historical one-time preparation period.

[0039] When the obtained overlapping area is not greater than the overlapping area set value in the database, linearly couple the obtained coordinate offset analysis value coefficient, cutting speed related score, and overlapping area related score to obtain the second preparation stability analysis value. The second preparation stability analysis value is used to quantify the interference degree of the second preparation parameters on the preparation stability of the multi-plate to be prepared. Among them, the overlapping area related score represents the result of correcting the difference degree between the obtained overlapping area and the overlapping area set value in the data by the overlapping area correction amount. Overlapping area related score The specific limiting expression is: , where, Denote the overlapping area related score of the multi-plate to be prepared on the preparation platform at the end of one preparation period. Denote the overlapping area correction amount. Denote the overlapping area of the multi-plate to be prepared on the preparation platform at the end of one preparation period. Denote the overlapping area set value. The unit of the overlapping area is the same as that of the overlapping area set value, both being square millimeters (mm²). The overlapping area set value is represented by the result of summing and averaging the historical overlapping areas of the multi-plate to be prepared on the preparation platform in the database at the end of the historical one-time preparation period.

[0040] When the number of plates to be prepared is 1, denote the obtained preparation stability analysis value as the first preparation stability analysis value. When the number of plates to be prepared is not 1, denote the obtained preparation stability analysis value as the second preparation stability analysis value.

[0041] In summary, the preparation stability analysis value The specific limiting expression is: , where i is the number of the type of plate to be prepared. , Denote the single plate to be prepared. Denote the multi-plate to be prepared. Denote the preparation stability analysis value of the plate to be prepared on the preparation platform at the end of one preparation period.

[0042] In the database, a series of correction amounts have been preset for preparing stability analysis values. There is a clear and predefined association pattern among these correction amounts, the coordinate offset analysis value, the actual cutting speed, the safety distance, and the overlapping area. This association is not randomly formed, and its manifestation can be one-to-one correspondence or many-to-one mapping. For example, in practical applications, when it is necessary to evaluate the offset trend of the plate to be prepared under the influence of preparation data, the system allows users to directly input the real-time monitored coordinate offset analysis value, actual cutting speed, safety distance, and overlapping area into this preset association system, and can quickly and accurately analyze the correction amount that matches the input parameters, namely the coordinate offset analysis value correction amount, cutting speed correction amount, safety distance correction amount, and overlapping area correction amount.

[0043] Particularly crucial is that to ensure the unity and comparability of the evaluation results, the value ranges of the four correction amounts in this system are all limited to the interval from 0 to 1. When the sum of the coordinate offset analysis value correction amount, cutting speed correction amount, and safety distance correction amount is 1. When the sum of the coordinate offset analysis value correction amount, cutting speed correction amount, and overlapping area correction amount is 1.

[0044] In this embodiment, when the preparation stability analysis value increases with the increase of the coordinate offset analysis value, actual cutting speed, and safety distance. Among them, when the actual cutting speed increases, the distance that the tool or laser head moves per unit time increases. If the coordinate offset analysis value shows a certain degree of offset, a faster cutting speed can, to a certain extent, "cover up" the influence brought by this offset. For example, during high-speed cutting, the tool quickly passes through the surface of the plate. Even if there is a slight coordinate offset, due to the short cutting path and extremely fast speed, the deviation of the cutting trajectory formed on the plate is relatively not obvious, and the unevenness of the cutting edge may not deteriorate sharply due to the offset.

[0045] When the preparation stability analysis value increases with the increase of the coordinate offset analysis value, actual cutting speed, and overlapping area. Among them, the size of the coordinate offset analysis value is directly related to the accuracy of the overlapping area during multi-plate cutting. When the coordinate offset analysis value increases, the cutting paths of adjacent plates will deviate, and the originally expected overlapping area may deviate. For example, if there is a coordinate offset during the placement of the plates, the cutting lines of adjacent plates cannot be accurately docked during cutting, which may lead to an increase or decrease in the overlapping area. An increase in the overlapping area may cause material accumulation at the splicing joint of the plates, affecting the splicing flatness and overall strength; a decrease in the overlapping area may lead to loose splicing, gaps, and reduce the overall performance and anti-adhesion ability of the plates.

[0046] By comprehensively considering the mutual influence relationship among the coordinate offset analysis value, the actual cutting speed, and the overlapping area, it is possible to more comprehensively reflect the influence of various factors in the tool cutting preparation process on the preparation stability. Traditional analysis methods may only focus on a single factor and ignore the interaction between factors, resulting in inaccurate analysis results. Through the analysis of this mutual influence mechanism, the preparation stability analysis value can be calculated more accurately, providing a reliable basis for subsequent process adjustment and optimization, thereby improving the reliability of the analysis of the preparation state of the anti-adhesion tool head coating during the tool cutting preparation process.

[0047] As Figure 3 shown, it is the specific flowchart of the anti-adhesion error analysis module provided by the embodiment of the present application. The anti-adhesion error analysis module is used to judge whether to perform preparation parameter optimization analysis according to the preparation stability analysis result. If so, it monitors the preparation parameter optimization analysis process in real time. Otherwise, it performs anti-adhesion error analysis on the plate sample after one-time tool cutting preparation to obtain the anti-adhesion error analysis result, and at the same time judges whether to send a secondary tool cutting preparation instruction based on the anti-adhesion error analysis result. The preparation parameter optimization analysis is used to analyze the degree of recovery of the preparation stability of the plate to be prepared by adjusting the auxiliary gas pressure and the tool cutting power. The anti-adhesion error analysis is used to quantify the anti-adhesion performance corresponding to the plate sample after one-time tool cutting preparation.

[0048] First, perform the stability analysis of the preparation to judge whether the preparation stability meets the expected requirements. If it meets, enter the anti-adhesion error analysis. If it does not meet, perform preparation parameter optimization. In the first step, adjust the auxiliary gas pressure. After one adjustment of the auxiliary gas pressure, judge whether the above adjustment of the auxiliary gas pressure is effective based on the reduction amplitude of the plate offset obtained. If it is effective, continue to adjust the auxiliary gas pressure until the preparation stability meets the expected requirements. Otherwise, perform the second adjustment, that is, adjust the tool cutting power. Judge the preparation stability again, and cycle this process until the preparation stability meets the expected requirements. Finally, analyze the anti-adhesion error and judge the deviation: if the deviation is not greater than 0, perform local repair and optimize the laser pulse duty cycle, and then judge whether a qualified plate sample is obtained.

[0049] In this embodiment, by analyzing the preparation stability, abnormal situations in the preparation process can be detected in a timely manner. When the preparation stability does not meet the requirements, the preparation parameters are optimized, and the auxiliary gas pressure is adjusted, which helps to restore the preparation stability. Secondly, through the anti-adhesion error analysis, the preparation accuracy can be further ensured, and the error caused by adhesion can be reduced. In the whole process, through the closed-loop architecture of "preparation stability drive - parameter self-optimization - anti-adhesion quantification - dynamic secondary cutting", the uncontrollable problem of adhesion error in high-precision machining is systematically solved. This dynamic adjustment mechanism makes the preparation process more flexible and adaptable, and can cope with the changes of different materials and preparation conditions.

[0050] Further, it is judged whether to perform the preparation parameter optimization analysis according to the preparation stability analysis result. The specific process is as follows: If the obtained preparation stability analysis value is not greater than the preset preparation stability analysis value in the database, the preparation stability analysis result is recorded as qualified preparation, and a sheet sample is obtained. At the same time, the anti-adhesion error analysis is carried out. The preset preparation stability analysis value is represented by the result of summing and averaging the historical preparation stability analysis values of the to-be-prepared sheets on the preparation platform in the database at the end of the historical first preparation period; If the obtained preparation stability analysis value is greater than the preset preparation stability analysis value in the database, the preparation stability analysis result is recorded as unqualified preparation, and the preparation parameter optimization analysis is carried out; The preparation parameters include the auxiliary gas pressure and the cutting power of the tool.

[0051] Further, the specific process of the preparation parameter optimization analysis is as follows: Based on the obtained deviation of the preparation stability analysis value and the deviation of the cutting pressure of the tool, the reduction amplitude of the auxiliary gas pressure of the servo motor corresponding to the preparation machine tool is mapped in the database. The deviation of the cutting pressure of the tool is used to quantify the difference between the actual cutting pressure of the tool corresponding to the to-be-prepared sheet at the end of the first preparation period and the set value of the cutting pressure of the tool in the database. The deviation of the preparation stability analysis value is used to quantify the difference between the obtained preparation stability analysis value and the preset preparation stability analysis value; If the reduction amplitude of the sheet offset obtained after reducing the auxiliary gas pressure once is not less than the corresponding preset reduction amplitude, the newly obtained deviation of the preparation stability analysis value and the horizontal offset of the sheet are input into the PID control algorithm of the servo motor corresponding to the preparation machine tool to output the reduction amplitude of the cutting power of the tool. The reduction amplitude of the cutting power of the tool is used to reduce the cutting power of the cutting head of the tool corresponding to the to-be-prepared sheet. The horizontal offset of the sheet is used to quantify the difference between the actual horizontal offset in the horizontal direction corresponding to the to-be-prepared sheet at the end of the first preparation period and the set value of the horizontal offset in the database. The reduction amplitude of the sheet offset is used to reduce the offset in the horizontal direction of the to-be-prepared sheet on the preparation platform; If the newly obtained deviation of the preparation stability analysis value is not greater than 0 within the preset number of reduction times of the cutting power of the tool, the preparation parameter optimization analysis is completed and an anti-adhesion error analysis instruction is sent, otherwise a monitoring and warning instruction is sent.

[0052] In this embodiment, the optimization analysis process has high adaptability and flexibility, and can be dynamically adjusted according to the preparation requirements and actual preparation conditions of different plates. Whether facing plates of different materials, thicknesses or specifications, or various complex working conditions during the preparation process, the process can automatically adjust the preparation parameters by obtaining and analyzing deviation data in real time to ensure that the preparation process is always in the best state. This adaptability and flexibility enable the preparation system to better handle diverse production tasks.

[0053] Further, based on the anti-adhesion error analysis result, it is judged whether to send a secondary tool cutting preparation instruction. The specific process is as follows: When the obtained anti-adhesion error analysis determination value is within the allowable range of the anti-adhesion error analysis determination value in the database, a local repair instruction is sent and the laser pulse duty cycle optimization analysis is carried out. The allowable range of the anti-adhesion error analysis determination value represents the range corresponding to the maximum and minimum values of the historical anti-adhesion error analysis determination values in the database, including the cases equal to the maximum and minimum values of the historical anti-adhesion error analysis determination values; when the obtained anti-adhesion error analysis determination value is less than the minimum value of the historical anti-adhesion error analysis determination value in the database, a sheet sample qualified instruction is sent; when the obtained anti-adhesion error analysis determination value is greater than the maximum value of the historical anti-adhesion error analysis determination value in the database, a secondary tool cutting preparation instruction is sent; the anti-adhesion error analysis determination value represents the result of the harmonic mean processing of the width of the heat affected zone, the length of the bottom burr, and the length of the surface residual slag of the corresponding plate to be prepared after the first tool cutting preparation is completed; the laser pulse duty cycle optimization means adjusting the laser energy output of the corresponding tool cutting head after the first tool cutting by obtaining the adjustment range of the laser pulse duty cycle; the adjustment range of the laser pulse duty cycle represents the result output by jointly inputting the deviation of the obtained anti-adhesion error analysis determination value and the deviation of the laser pulse frequency into the PID control algorithm of the tool cutting head. The deviation of the anti-adhesion error analysis determination value is used to quantify the degree of difference between the obtained anti-adhesion error analysis determination value and the preset anti-adhesion error analysis determination value in the database. The preset anti-adhesion error analysis determination value is represented by the sum average of the historical anti-adhesion error analysis determination values of the corresponding plate to be prepared after the first tool cutting preparation in the database. The deviation of the laser pulse frequency is used to quantify the degree of difference between the actual laser pulse frequency of the corresponding tool cutting head after the first tool cutting preparation is completed and the preset laser pulse frequency in the database. The preset laser pulse frequency is represented by the sum average of the historical laser pulse frequencies of the corresponding tool cutting head after the first tool cutting preparation in the database.

[0054] In this embodiment, the automated and intelligent decision-making process can quickly and accurately make decisions based on the anti-sticking error analysis determination value, send corresponding instructions in a timely manner, reduce the waiting time and decision-making links in the production process, and enhance the intelligent level of the equipment. During the process of enhancing the intelligent level of the equipment, through the introduction of the PID (Proportional-Integral-Derivative) control algorithm for optimizing the laser pulse duty cycle analysis, precise control of the laser energy output is achieved. The equipment can automatically adjust the cutting parameters according to the deviation of the anti-sticking error analysis determination value and the laser pulse frequency deviation obtained in real time, enabling the equipment to have the capabilities of self-adaptation and self-optimization, significantly enhancing the intelligent level of the equipment, and providing strong support for the intelligent manufacturing development of enterprises.

[0055] In summary, in the embodiment of the present application, the offset analysis of the coordinate position of the to-be-prepared sheet is performed through the obtained correction parameters, and at the same time, it is judged whether to perform the determination of the number of to-be-prepared sheets according to the offset analysis result. Then, it is judged whether to perform the preparation parameter optimization analysis according to the preparation stability analysis result. Finally, it is judged whether to send the secondary tool cutting preparation instruction based on the anti-adhesion error analysis result, thereby realizing the consistency of the production efficiency and production quality of the to-be-prepared sheet, and further realizing the improvement of the reliability of the anti-adhesion tool head coating preparation state analysis during the tool cutting preparation process, effectively solving the problem of low reliability of the anti-adhesion tool head coating preparation state analysis in the prior art during the tool cutting preparation process.

[0056] Those skilled in the art should understand that the embodiments of the present invention can be provided as a method, a system, or a computer program product. Therefore, the present invention can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0057] The present invention is described with reference to the flowcharts and / or block diagrams of systems, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each flow and / or block in the flowchart and / or block diagram, and the combination of flows and / or blocks in the flowchart and / or block diagram, can be realized by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing devices generate means for realizing the functions specified in Figure 1 one process or multiple processes and / or blocks Figure 1 one block or multiple blocks.

[0058] These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to operate in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including an instruction means that implements the function specified in one or more of the processes and / or blocks Figure 1 in one or more of the processes and / or blocks Figure 1 specified in one or more of the processes and / or blocks.

[0059] These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process, whereby the instructions executed on the computer or other programmable apparatus provide steps for implementing the function specified in one or more of the processes and / or blocks Figure 1 in one or more of the processes and / or blocks Figure 1 specified in one or more of the processes and / or blocks.

[0060] Although the preferred embodiments of the present invention have been described, additional changes and modifications can be made by those skilled in the art once they learn of the basic inventive concept. Therefore, the appended claims are intended to be construed to include the preferred embodiments as well as all changes and modifications that fall within the scope of the present invention.

[0061] It is apparent that those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalent technologies, the present invention is also intended to include these modifications and variations.

Claims

1. An analysis system based on the preparation data of an anti-adhesion tool tip coating, characterized in that Including: A sheet offset analysis module, a preparation stability analysis module, and an anti-adhesion error analysis module; Among them, the sheet offset analysis module is used to perform offset analysis on the coordinate position of the sheet to be prepared according to the obtained correction parameters, and obtain an offset analysis result. The sheet to be prepared is an anti-adhesion tool head coating to be prepared on a preparation platform. The offset analysis is used to quantify the matching degree between the actual coordinate position of the sheet to be prepared and the to-be-prepared trajectory; The preparation stability analysis module is used to judge whether to perform the determination of the number of sheets to be prepared according to the offset analysis result. If the determination of the number of sheets to be prepared is performed, the preparation stability analysis of the one-time laser preparation process of the sheet to be prepared is performed based on the obtained preparation data, and a preparation stability analysis result is obtained. Otherwise, after the gain parameter optimization analysis, the preparation stability analysis result is determined. The preparation stability analysis is used to quantify the offset trend of the sheet to be prepared on the preparation platform under the influence of the preparation data. The gain parameter optimization analysis is used to quantify the recovery degree of the adjustment of the position loop gain and the speed loop gain on the offset degree of the sheet to be prepared; The anti-adhesion error analysis module is used to judge whether to perform preparation parameter optimization analysis according to the preparation stability analysis result. If so, the preparation parameter optimization analysis process is monitored in real time. Otherwise, the anti-adhesion error analysis of the sheet sample after the one-time tool cutting preparation is completed is performed, and an anti-adhesion error analysis result is obtained. At the same time, it is judged whether to send a secondary tool cutting preparation instruction based on the anti-adhesion error analysis result. The preparation parameter optimization analysis is used to analyze the recovery degree of the adjustment of the auxiliary gas pressure and the tool cutting power on the preparation stability of the sheet to be prepared. The anti-adhesion error analysis is used to quantify the anti-adhesion performance corresponding to the sheet sample after the one-time tool cutting preparation is completed.

2. The analysis system based on the anti-adhesion tool head coating preparation data according to claim 1, wherein The correction parameters include the X-direction offset amount, the Y-direction offset amount, and the rotation angle offset amount; The specific steps of performing offset analysis on the coordinate position of the sheet to be prepared according to the obtained correction parameters are as follows: Obtain the difference degree between the X-direction offset amount and the maximum allowable X-direction offset amount in the database, and perform compensation and correction in combination with the introduced X-direction offset amount correction amount to obtain the X-direction offset amount-related score; Obtain the difference degree between the Y-direction offset amount and the maximum allowable Y-direction offset amount in the database, and perform compensation and correction in combination with the introduced Y-direction offset amount correction amount to obtain the Y-direction offset amount-related score; Obtain the difference degree between the rotation angle offset amount and the maximum allowable rotation angle offset amount in the database, and perform compensation and correction in combination with the introduced rotation angle offset amount correction amount to obtain the rotation angle offset amount-related score; Couple the result of geometric mean processing of the obtained X-direction offset amount-related score and the Y-direction offset amount-related score with the rotation angle offset amount-related score to obtain a coordinate offset analysis value. The coordinate offset analysis value is used to quantify the coordinate position offset degree of the correction parameters for the sheet to be prepared within a preset analysis period.

3. The analysis system based on the anti-adhesion tool tip coating preparation data according to claim 2, wherein, The specific process of judging whether to perform the determination of the number of sheets to be prepared according to the offset analysis result is as follows: If the obtained coordinate offset analysis value is not greater than the preset coordinate offset analysis value in the database, record the offset analysis result as qualified for the positioning of the to-be-prepared sheet and determine the quantity of the to-be-prepared sheet; If the obtained coordinate offset analysis value is greater than the preset coordinate offset analysis value in the database, record the offset analysis result as unqualified for the positioning of the to-be-prepared sheet and perform optimization analysis of the gain parameters; The gain parameters include the position loop gain and the speed loop gain; The position loop gain is used to control the followability of the servo motor corresponding to the to-be-prepared sheet to the position command to improve the positioning accuracy and response speed; The speed loop gain is used to control the stability of the speed of the servo motor corresponding to the to-be-prepared sheet to suppress the speed fluctuation; 4. The analysis system based on the anti-adhesion tool head coating preparation data as claimed in claim 3, wherein, The specific process of the gain parameter optimization analysis is as follows: Based on the deviation of the obtained coordinate offset analysis value and the deviation of the position loop response speed, map in the database to obtain the reduction amplitude of the position loop gain of the servo motor corresponding to the preparation machine tool; If the deviation of the speed loop response speed obtained after the first reduction of the position loop gain is not greater than the deviation of the speed loop response speed in the database, based on the re-obtained deviation of the coordinate offset analysis value and the deviation of the speed loop response speed, map in the database to obtain the reduction amplitude of the speed loop gain of the servo motor corresponding to the preparation machine tool; If the re-obtained deviation of the coordinate offset analysis value is not greater than 0 within the preset number of times of reducing the speed loop gain, send an instruction indicating the completion of the gain parameter optimization analysis and determine the quantity of the to-be-prepared sheet, otherwise prompt the preset personnel to intervene; The deviation of the coordinate offset analysis value is used to quantify the difference degree between the obtained coordinate offset analysis value and the preset coordinate offset analysis value; The deviation of the position loop response speed is used to quantify the difference degree between the actual position loop response speed obtained at the end of the preset analysis period of the to-be-prepared sheet on the preparation platform and the reference position loop response speed in the database; The deviation of the speed loop response speed is used to quantify the difference degree between the actual speed loop response speed obtained at the end of the preset analysis period of the to-be-prepared sheet on the preparation platform and the reference speed loop response speed in the database; 5. The analysis system based on the anti-adhesion tool head coating preparation data according to claim 4, characterized in that, The specific process of the determination of the quantity of the to-be-prepared sheet is as follows: If the quantity of the to-be-prepared sheet is 1, determine it as a to-be-prepared single sheet and obtain the safety distance in the corresponding placement area of the to-be-prepared single sheet on the preparation platform, and at the same time, judge whether to send a sheet fixing position adjustment instruction based on the obtained safety distance deviation; If the quantity of the to-be-prepared sheet is not 1, determine it as a to-be-prepared multi-sheet and obtain the overlapping area of the to-be-prepared multi-sheet in the corresponding placement area on the preparation platform, and at the same time, judge whether to send a sheet placement order adjustment instruction based on the obtained overlapping area deviation and obtain the preparation data; 6. The analysis system based on the data of the anti-adhesion tool head coating according to claim 5, characterized in that, The preparation data includes the first preparation parameter and the second preparation parameter; The first preparation parameter represents the preparation data corresponding to the to-be-prepared single sheet in one laser preparation process, specifically including the coordinate offset analysis value, the cutting speed, and the safety distance; The second preparation parameter represents the preparation data corresponding to the to-be-prepared multi-sheet in one laser preparation process, specifically including the coordinate offset analysis value, the cutting speed, and the overlapping area.

7. The analysis system based on the data of the anti-adhesion tool head coating according to claim 6, wherein Performing preparation stability analysis on the primary laser preparation process of the to-be-prepared sheet based on the obtained preparation data, the specific steps include: Compensating and correcting the obtained coordinate offset analysis value through the introduced coordinate offset analysis value correction amount to obtain the coordinate offset analysis value coefficient; Compensating and correcting the relative difference degree between the obtained actual cutting speed and the reference cutting speed in the database through the introduced cutting speed correction amount to obtain the cutting speed related score; When the obtained safety distance is not less than the safety distance set value in the data, linearly coupling the obtained coordinate offset analysis value coefficient, cutting speed related score, and safety distance related score to obtain the first preparation stability analysis value, which is used to quantify the interference degree of the first preparation parameter on the preparation stability of the to-be-prepared single sheet; The safety distance related score represents the result of correcting the difference degree between the obtained safety distance and the safety distance set value in the data by the safety distance correction amount; When the obtained overlapping area is not greater than the overlapping area set value in the database, linearly coupling the obtained coordinate offset analysis value coefficient, cutting speed related score, and overlapping area related score to obtain the second preparation stability analysis value, which is used to quantify the interference degree of the second preparation parameter on the preparation stability of the to-be-prepared multi-sheets; The overlapping area related score represents the result of correcting the difference degree between the obtained overlapping area and the overlapping area set value in the data by the overlapping area correction amount.

8. The analysis system based on the anti-adhesion tool head coating preparation data according to claim 7, characterized in that, Judging whether to perform preparation parameter optimization analysis according to the preparation stability analysis result, the specific process is: If the obtained preparation stability analysis value is not greater than the preset preparation stability analysis value in the database, record the preparation stability analysis result as qualified preparation and obtain the sheet sample, and at the same time perform anti-adhesion error analysis; If the obtained preparation stability analysis value is greater than the preset preparation stability analysis value in the database, record the preparation stability analysis result as unqualified preparation and perform preparation parameter optimization analysis; The preparation parameters include the auxiliary gas pressure and the cutting power of the tool.

9. The analysis system based on the data for preparing the anti-adhesion tool tip coating according to claim 8, wherein The specific process of the preparation parameter optimization analysis is: Mapping the obtained preparation stability analysis value deviation and tool cutting pressure deviation in the database to obtain the reduction amplitude of the auxiliary gas pressure of the servo motor corresponding to the preparation machine tool; If the reduction amplitude of the sheet offset obtained after the first reduction of the auxiliary gas pressure is not less than the corresponding preset reduction amplitude, input the newly obtained preparation stability analysis value deviation and the sheet horizontal offset into the PID control algorithm of the servo motor corresponding to the preparation machine tool to output the reduction amplitude of the cutting power of the tool; If the newly obtained preparation stability analysis value deviation is not greater than 0 within the preset number of times of reducing the cutting power of the tool, complete the preparation parameter optimization analysis and send an anti-adhesion error analysis instruction, otherwise send a monitoring warning instruction; The reduction amplitude of the cutting power of the tool is used to reduce the cutting power of the cutting head of the tool corresponding to the to-be-prepared sheet to reduce the sheet offset; The deviation of the preparation stability analysis value is used to quantify the degree of difference between the obtained preparation stability analysis value and the preset preparation stability analysis value; The deviation of the tool cutting pressure is used to quantify the degree of difference between the actual cutting pressure of the tool corresponding to the plate to be prepared at the end of a preparation period and the tool cutting pressure setting value in the database; The horizontal offset of the plate is used to quantify the degree of difference between the actual horizontal offset in the horizontal direction corresponding to the plate to be prepared at the end of a preparation period and the horizontal offset setting value in the database.

10. The analysis system based on the data of the anti-adhesion tool head coating according to claim 1, wherein, Based on the anti-adhesion error analysis result, it is determined whether to send a secondary tool cutting preparation instruction. The specific process is as follows: When the obtained anti-adhesion error analysis determination value is within the allowable range of the anti-adhesion error analysis determination value in the database, a local repair instruction is sent and the laser pulse duty cycle optimization analysis is carried out; When the obtained anti-adhesion error analysis determination value is less than the minimum value of the historical anti-adhesion error analysis determination value in the database, a qualified plate sample instruction is sent; When the obtained anti-adhesion error analysis determination value is greater than the maximum value of the historical anti-adhesion error analysis determination value in the database, a secondary tool cutting preparation instruction is sent; The anti-adhesion error analysis determination value represents the result of the harmonic mean processing of the width of the heat affected zone, the length of the bottom burr, and the length of the surface residual slag obtained for the corresponding plate to be prepared after the completion of one tool cutting preparation; The laser pulse duty cycle optimization means adjusting the laser energy output of the tool cutting head corresponding to one tool cutting by the obtained laser pulse duty cycle adjustment amplitude; The laser pulse duty cycle adjustment amplitude represents the result output by inputting the obtained anti-adhesion error analysis determination value deviation and the laser pulse frequency deviation into the tool cutting head PID control algorithm.

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