Laser paint removal quality feedback control system based on libs criterion

Abstract

The invention discloses a laser paint removal quality feedback control system based on a libs criterion, which relates to the technical field of laser paint removal and comprises a structure analysis module, a structure processing module and a structure feedback module. In the structure analysis module, the quality coincidence index of each thin-wall area and the quality coincidence index of each thick-wall area of the metal structure in the steamship are analyzed, the laser paint removal effect of the metal structure in the steamship is improved, the problem of unevenness of the surface of the metal structure in the steamship is avoided, the corrosion resistance of metal is improved, and the service life of the steamship is prolonged. And the appearance quality of the metal structure in the steamship is further improved. In the structure processing module, abnormal areas of the metal structure in the steamship are screened, laser paint removal hazard indexes of the metal structure in the steamship are analyzed, the paint removal efficiency is improved, energy waste is reduced, meanwhile, the problem that the thin-wall part of the metal structure in the steamship is damaged due to excessive increase of laser energy is avoided, and the service life of the steamship is prolonged. And therefore, the risk of harmful substance residues is reduced, and potential safety hazards are avoided.

Description

Technical Field

[0001] The present invention relates to the technical field of laser paint removal, and in particular to a laser paint removal quality feedback control system based on LIBSS criterion. Background Art

[0002] In many fields such as automobile manufacturing and mechanical maintenance, paint removal from the surface of metal parts is an important pretreatment process. Traditional paint removal methods such as chemical solvent method and mechanical polishing method have many disadvantages. Laser paint removal technology has emerged as a new green and environmentally friendly paint removal method. Laser paint removal has significant advantages such as non-contact, high precision, and automated operation, which can effectively overcome the shortcomings of traditional paint removal methods. However, the laser paint removal process is a complex multi-physical field coupling process. In practical applications, it is difficult to ensure that each paint removal operation can meet the ideal quality standards. Therefore, it is necessary to analyze the laser paint removal quality feedback control system based on the LIBS criterion.

[0003] Existing technologies such as the invention application patent with announcement number: CN115639428A discloses a furniture product quality evaluation and analysis method, system and storage medium. The invention relates to the technical field of furniture product quality evaluation. The furniture product quality evaluation and analysis method includes heating test group setting, heating information acquisition, heating continuity information collection, heating performance analysis, insulation test group setting and information acquisition, insulation performance analysis, electric water heater quality analysis and confirmation and quality analysis result display. By analyzing the heating effects corresponding to each heating test group and the insulation effects corresponding to each insulation test group of the target electric water heater, and then analyzing and confirming the corresponding quality of the target electric water heater, the limitations and contingencies of the current technology in the quality analysis of electric water heaters are solved, and intelligent analysis and evaluation of the quality of electric water heaters are realized, which greatly improves the quality and use effect of the target electric water heater, thereby meeting the user's demand for hot water use to a great extent.

[0004] Based on the above solutions, it can be found that the existing laser paint removal quality feedback control system based on LIBS criteria can meet the basic requirements, but it also has some potential defects and challenges, which are specifically reflected in the following aspects:

[0005] 1. The existing technology does not conduct in-depth research on the quality compliance index of each thin-walled area and the quality compliance index of each thick-walled area of the metal structure inside the ship. Due to inaccurate quality detection of the paint layer thickness, metal element content, laser reflection value of each thin-walled area and the heating rate and phase value of each thick-walled area at each time point, the paint layer adhesion of the metal structure inside the ship is affected, resulting in a decrease in the laser paint removal effect of the metal structure inside the ship, affecting the flatness of the surface of the metal structure inside the ship. Due to incorrect detection of the metal element content, the corrosion resistance of the metal is reduced, thereby reducing the appearance quality of the metal structure inside the ship.

[0006] 2. The existing technology does not pay enough attention to the hazard index of laser paint removal of metal structures inside ships. Since the residual index of laser paint removal is unqualified, the paint removal efficiency is reduced, energy waste is increased, and the problem of damage to the thin-walled parts of the metal structure inside the ship due to excessive increase in laser energy is increased, thereby increasing the risk of residual harmful substances and affecting safety hazards. Summary of the Invention

[0007] The purpose of the present invention is to provide a laser paint removal quality feedback control system based on the LIBs criterion, which solves the problems existing in the background technology.

[0008] In order to solve the above technical problems, the present invention adopts the following technical solution: the present invention provides a laser paint removal quality feedback control system based on the LIBs criterion, including a structure analysis module, a structure processing module and a structure feedback module.

[0009] Structural analysis module: The metal structure inside the ship is classified by a spectrum analyzer to obtain the thin-walled areas and thick-walled areas of the metal structure inside the ship, and the quality compliance index of each thin-walled area and each thick-walled area of the metal structure inside the ship are analyzed.

[0010] Structural processing module: Based on the obtained quality compliance index of each thin-walled area and each thick-walled area of the metal structure inside the ship, screen out abnormal areas of the metal structure inside the ship and analyze the laser paint removal hazard index of the metal structure inside the ship.

[0011] Structural feedback module: Based on the obtained laser paint removal hazard index of the metal structure inside the ship, system feedback is provided and early warning prompts are issued.

[0012] Furthermore, the quality compliance index of each thin-walled area of the metal structure inside the ship is specifically analyzed by the following method: based on the obtained thin-walled areas and thick-walled areas of the metal structure inside the ship, the surface of the metal structure inside the ship is laser-removed by using the LIBs spectrum to generate a spectral image, collect LIBs spectrum data, and obtain LIBs spectrum data, wherein the LIBs spectrum data includes: the paint layer thickness, metal element content, laser reflection value, and heating rate and phase value of each thin-walled area at each time point, and the paint layer thickness, metal element content, laser reflection value, and heating rate and phase value of each thick-walled area at each time point, and analyzes the corrosion compliance index R of each thin-walled area of the metal structure inside the ship. q And paint adhesion index Y q , and then analyze the quality compliance index of each thin-walled area of the metal structure inside the ship. The specific calculation formula is: D q =R q +Y q .

[0013] Furthermore, the corrosion compliance index of each thin-walled area of the metal structure inside the ship is specifically analyzed by: based on the obtained metal element content and laser reflection value of each thin-walled area of the metal structure inside the ship, the metal element reference content and laser reflection reference value are extracted from the database, and then the corrosion compliance index of each thin-walled area of the metal structure inside the ship is analyzed. The specific calculation formula is: Among them, z q is the metal element content of the qth thin-walled area of the metal structure inside the ship, z' is the metal element reference content of the thin-walled area of the metal structure inside the ship, and s q It represents the laser reflection value of the qth thin-walled area of the metal structure inside the ship, s' represents the laser reflection reference value of the thin-walled area of the metal structure inside the ship, q represents the number of the thin-walled area, q = 1, 2, ..., l, l represents the number of thin-walled areas.

[0014] Furthermore, the paint layer adhesion compliance index of each thin-walled area of the metal structure inside the ship is specifically analyzed by: based on the obtained paint layer thickness of each thin-walled area of the metal structure inside the ship, the paint layer adhesion compliance index of each thin-walled area of the metal structure inside the ship is analyzed, and the specific calculation formula is: Among them, f q It is expressed as the paint layer thickness of the qth thin-walled area of the metal structure inside the ship.

[0015] Furthermore, the quality compliance index of each thick-walled area of the metal structure inside the ship is specifically analyzed by the following method: the quality compliance index of each thick-walled area of the metal structure inside the ship is obtained in the same manner as the quality compliance index analysis method of each thin-walled area of the metal structure inside the ship, and the quality compliance index is used as the first quality compliance index of each thick-walled area of the metal structure inside the ship, and then the second quality compliance index of each thick-walled area of the metal structure inside the ship is analyzed. The specific calculation formula is: A w =K w +U w , K w It is expressed as the heating compliance index of each thick wall area of the metal structure inside the ship, U w It is represented by the flatness compliance index of each thick-walled area of the metal structure inside the ship, and w is represented by the number of the thick-walled area.

[0016] Furthermore, the heating compliance index of each thick-walled area of the metal structure inside the ship is specifically analyzed by: based on the obtained heating rate of each thick-walled area of the metal structure inside the ship at each time point, the heating reference rate of each thick-walled area of the metal structure inside the ship is extracted from the database, and then the heating compliance index of each thick-walled area of the metal structure inside the ship is analyzed. The specific calculation formula is: Among them, p wt It represents the heating rate of the w-th thick-walled area of the metal structure inside the ship at the t-th time point, p' represents the heating reference rate corresponding to the unit thickness of the metal structure inside the ship, t = 1, 2, ..., g, t represents the time number.

[0017] Furthermore, the flatness conformity index of each thick-walled area of the metal structure inside the ship is specifically analyzed by: based on the obtained phase value of each thick-walled area of the metal structure inside the ship at each time point, obtaining the phase difference between each time point and the previous time point, and then obtaining the phase difference value of each thick-walled area at each time point, and extracting the phase reference difference value of each thick-walled area from the database, and analyzing the flatness conformity index of each thick-walled area of the metal structure inside the ship. The specific calculation formula is: Among them, j wt It is expressed as the phase difference value of the wth thick-wall region at the tth time point, j w ' represents the phase reference difference of the w-th thick-wall region.

[0018] Furthermore, the specific analysis method for the abnormal areas of the metal structure inside the ship is as follows: based on the obtained quality compliance index of each thin-walled area of the metal structure inside the ship, the quality compliance index of each thin-walled area of the metal structure inside the ship is compared with the quality compliance index threshold of each thin-walled area of the metal structure inside the ship stored in the database; if the quality compliance index of a thin-walled area of the metal structure inside the ship is greater than or less than the quality compliance index threshold of a thin-walled area, then the quality compliance index of the thin-walled area of the metal structure inside the ship is recorded as the various thin-walled abnormal areas of the metal structure inside the ship, thereby obtaining the various thin-walled abnormal areas of the metal structure inside the ship.

[0019] Based on the obtained quality compliance index of each thick-walled area of the metal structure inside the ship, the quality compliance index of each thick-walled area of the metal structure inside the ship is compared with the quality compliance index threshold of each thick-walled area of the metal structure inside the ship stored in the database. If the quality compliance index of a thick-walled area of the metal structure inside the ship is less than or greater than the quality compliance index threshold of a thick-walled area, then the thick-walled area of the metal structure inside the ship is recorded as a thick-wall abnormal area of the metal structure inside the ship, and then the various thick-wall abnormal areas of the metal structure inside the ship are obtained.

[0020] The abnormal areas of the metal structure inside the ship are analyzed, and the abnormal areas include abnormal thin-wall areas and abnormal thin-wall areas of the metal structure inside the ship.

[0021] Furthermore, the laser paint removal hazard index of the metal structure inside the ship is specifically analyzed by the following method: based on the obtained abnormal areas of the metal structure inside the ship, images of the abnormal areas are collected, and through image recognition, the grayscale values corresponding to the pixels of the abnormal areas of the metal structure inside the ship are obtained and compared with the burning grayscale value range stored in the database; if the grayscale values corresponding to the pixels of the abnormal area of the metal structure inside the ship are within the burning grayscale value range, the grayscale values corresponding to the pixels of the abnormal area of the metal structure inside the ship are recorded as burning pixels, and the number of burning pixels of the abnormal areas of the metal structure inside the ship is obtained, and then the laser paint removal hazard index of the metal structure inside the ship is analyzed. The specific calculation formula is: Among them, c e represents the number of burned pixels in the e-th abnormal area of the metal structure inside the ship, c' represents the reference number of burned pixels in the abnormal area of the metal structure inside the ship, e=1,2,...,o, e represents the number of the abnormal area, and o represents the number of the abnormal area.

[0022] Furthermore, the system feedback is performed, and its specific analysis method is: based on the obtained laser paint removal hazard index of the metal structure inside the ship, the laser paint removal hazard index of the metal structure inside the ship is compared with the laser paint removal hazard index threshold of the metal structure inside the ship stored in the database; if the laser paint removal hazard index of the metal structure inside the ship is less than the laser paint removal hazard index threshold of the metal structure inside the ship, the laser paint removal hazard index of the metal structure inside the ship is recorded as insufficient laser paint removal of the metal structure inside the ship, the laser paint removal intensity is increased, and an early warning prompt is issued.

[0023] If the laser paint removal hazard index of the metal structure inside the ship is greater than or equal to the laser paint removal hazard index threshold of the metal structure inside the ship, the laser paint removal hazard index of the metal structure inside the ship will be recorded as excessive laser paint removal of the metal structure inside the ship, and a chemical dissolving and burning reagent will be used to neutralize it, and system feedback will be given, and an early warning prompt will be issued.

[0024] The beneficial effects of the present invention are: 1. In the structural analysis module, the metal structure inside the ship is classified by a frequency spectrum analyzer to obtain the thin-walled areas and thick-walled areas of the metal structure inside the ship, and the quality compliance index of the thin-walled areas and the quality compliance index of the thick-walled areas of the metal structure inside the ship are analyzed, thereby improving the laser paint removal effect of the metal structure inside the ship, avoiding the occurrence of unevenness on the surface of the metal structure inside the ship, improving the corrosion resistance of the metal, and thereby improving the appearance quality of the metal structure inside the ship.

[0025] 2. In the structural processing module, based on the obtained quality compliance index of each thin-walled area and the quality compliance index of each thick-walled area of the metal structure inside the ship, the abnormal areas of the metal structure inside the ship are screened, and the laser paint removal hazard index of the metal structure inside the ship is analyzed, which improves the paint removal efficiency and reduces energy waste. At the same time, it avoids the problem of damage to the thin-walled part of the metal structure inside the ship due to excessive increase in laser energy, thereby reducing the risk of harmful substance residue and avoiding safety hazards. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0027] Figure 1 This is a schematic diagram of the system structure connection of the present invention. DETAILED DESCRIPTION

[0028] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0029] Reference Figure 1 As shown, the present invention provides a laser paint removal quality feedback control system based on the LIBs criterion, including: a structure analysis module, a structure processing module and a structure feedback module.

[0030] It should be noted that structural analysis is connected with structural processing, structural analysis is connected with database, structural processing is connected with database, structural processing is connected with structural feedback, and structural feedback is connected with database.

[0031] It should be noted that the database is used to store the reference content of metal elements and laser reflection reference values of each thin-walled area and each thick-walled area of the metal structure inside the ship, the reference heating rate of each thick-walled area, the phase reference difference and the burning grayscale value range, the reference number of burning pixels in the abnormal area of the metal structure inside the ship, and the laser paint removal hazard index threshold of the metal structure inside the ship.

[0032] Structural analysis module: The metal structure inside the ship is classified through a spectrum analyzer to obtain the thin-walled areas and thick-walled areas of the metal structure inside the ship, and the quality compliance index of each thin-walled area and the quality compliance index of each thick-walled area of the metal structure inside the ship, the quality compliance index threshold of each thin-walled area of the metal structure inside the ship, the quality compliance index threshold of each thick-walled area of the metal structure inside the ship, and the laser paint removal hazard index threshold of the metal structure inside the ship are analyzed.

[0033] In the structural analysis module, the metal structure inside the ship is classified through a frequency spectrum analyzer to obtain the thin-walled areas and thick-walled areas of the metal structure inside the ship, and the quality compliance index of the thin-walled areas and the quality compliance index of the thick-walled areas of the metal structure inside the ship are analyzed, thereby improving the laser paint removal effect of the metal structure inside the ship, avoiding the occurrence of unevenness on the surface of the metal structure inside the ship, improving the corrosion resistance of the metal, and thereby improving the appearance quality of the metal structure inside the ship.

[0034] In the above embodiment, the quality compliance index of each thin-walled area of the metal structure inside the ship is specifically analyzed by the following method: based on the obtained thin-walled areas and thick-walled areas of the metal structure inside the ship, the surface of the metal structure inside the ship is laser-removed by using the LIBs spectrum to generate a spectral image, collect LIBs spectrum data, and obtain LIBs spectrum data, wherein the LIBs spectrum data includes: the paint layer thickness, metal element content, laser reflection value, and heating rate and phase value of each thin-walled area at each time point of each thin-walled area, and the paint layer thickness, metal element content, laser reflection value, and heating rate and phase value of each thick-walled area at each time point of each thin-walled area, and analyzes the corrosion compliance index R of each thin-walled area of the metal structure inside the ship. q And paint adhesion index Y q , and then analyze the quality compliance index of each thin-walled area of the metal structure inside the ship. The specific calculation formula is: D q =R q +Y q .

[0035] It should be noted that the analysis methods of the anti-corrosion compliance index and paint layer adhesion compliance index of each thick-walled area of the metal structure inside the ship are consistent with those of the anti-corrosion compliance index and paint layer adhesion compliance index of each thin-walled area of the metal structure inside the ship.

[0036] It should be noted that the paint film thickness, metal element content and laser reflection value of each thin-walled area of the metal structure inside the ship are obtained by testing the thin-walled area and each thick-walled area of the metal structure inside the ship using a paint film thickness gauge, an atomic absorption spectrometer and a laser reflectometer.

[0037] In the above embodiment, the specific analysis method for the anti-corrosion compliance index of each thin-walled area of the metal structure inside the ship is as follows: based on the obtained metal element content and laser reflection value of each thin-walled area of the metal structure inside the ship, the metal element reference content and laser reflection reference value are extracted from the database, and then the anti-corrosion compliance index of each thin-walled area of the metal structure inside the ship is analyzed. The specific calculation formula is: Among them, z q is the metal element content of the qth thin-walled area of the metal structure inside the ship, z' is the metal element reference content of the thin-walled area of the metal structure inside the ship, and s q It represents the laser reflection value of the qth thin-walled area of the metal structure inside the ship, s' represents the laser reflection reference value of the thin-walled area of the metal structure inside the ship, q represents the number of the thin-walled area, q = 1, 2, ..., l, l represents the number of thin-walled areas.

[0038] It should be noted that the laser reflection reference value is obtained by obtaining historical laser reflection values of each thin-walled area of the metal structure inside the ship and performing averaging processing to obtain the laser reflection reference value.

[0039] In the above embodiment, the paint layer adhesion compliance index of each thin-walled area of the metal structure inside the ship is specifically analyzed by: based on the obtained paint layer thickness of each thin-walled area of the metal structure inside the ship, the paint layer adhesion compliance index of each thin-walled area of the metal structure inside the ship is analyzed, and the specific calculation formula is: Among them, f q It is expressed as the paint layer thickness of the qth thin-walled area of the metal structure inside the ship.

[0040] In the above embodiment, the quality compliance index of each thick-walled area of the metal structure inside the ship is specifically analyzed by the following method: the quality compliance index of each thick-walled area of the metal structure inside the ship is obtained in the same manner as the quality compliance index analysis method of each thin-walled area of the metal structure inside the ship, and the quality compliance index is used as the first quality compliance index of each thick-walled area of the metal structure inside the ship, and then the second quality compliance index of each thick-walled area of the metal structure inside the ship is analyzed. The specific calculation formula is: A w =K w +U w , K w It is expressed as the heating compliance index of each thick wall area of the metal structure inside the ship, U w It is represented by the flatness compliance index of each thick-walled area of the metal structure inside the ship, and w is represented by the number of the thick-walled area.

[0041] It should be noted that the thick-walled areas of the metal structure inside the ship are detected by using an infrared thermal imager and a laser planarizer to obtain the temperature rise rate and phase value of each thick-walled area at each time point.

[0042] In the above embodiment, the heating compliance index of each thick-walled area of the metal structure inside the ship is specifically analyzed by: based on the obtained heating rate of each thick-walled area of the metal structure inside the ship at each time point, the heating reference rate of each thick-walled area of the metal structure inside the ship is extracted from the database, and then the heating compliance index of each thick-walled area of the metal structure inside the ship is analyzed. The specific calculation formula is: Among them, p wt It represents the heating rate of the w-th thick-walled area of the metal structure inside the ship at the t-th time point, p' represents the heating reference rate corresponding to the unit thickness of the metal structure inside the ship, t = 1, 2, ..., g, t represents the time number.

[0043] It should be noted that during laser paint removal, the heating process is usually simulated based on the geometric shapes of the metal structures inside multiple reference ships and the power of the heating element of the laser paint removal equipment, and the simulated heating rate of the metal structure inside the ship is output. The current geometric shape of the metal structure inside the ship and the power model of the heating element of the laser paint removal are imported into the similarity evaluation model, and the similarity between the current metal structure inside the ship and the metal structures inside each reference ship is output, and the temperature reference rate is screened.

[0044] In the above embodiment, the flatness conformity index of each thick-walled area of the metal structure inside the ship is specifically analyzed by: based on the obtained phase value of each thick-walled area of the metal structure inside the ship at each time point, the phase difference between each time point and the previous time point is obtained, and then the phase difference value of each thick-walled area at each time point is obtained, and the phase reference difference value of each thick-walled area is extracted from the database to analyze the flatness conformity index of each thick-walled area of the metal structure inside the ship. The specific calculation formula is: Among them, j wt It is expressed as the phase difference value of the wth thick-wall region at the tth time point, j w ' represents the phase reference difference of the w-th thick-wall region.

[0045] It should be noted that the phase reference difference values of the thick-walled regions of the metal structure inside the ship are obtained by obtaining historical phase difference values of the thick-walled regions of the metal structure inside the ship and performing average processing to obtain the phase reference difference values.

[0046] Structural processing module: Based on the obtained quality compliance index of each thin-walled area and each thick-walled area of the metal structure inside the ship, screen out abnormal areas of the metal structure inside the ship and analyze the laser paint removal hazard index of the metal structure inside the ship.

[0047] In the above embodiment, the specific analysis method for the abnormal areas of the metal structure inside the ship is: based on the obtained quality compliance index of each thin-walled area of the metal structure inside the ship, the quality compliance index of each thin-walled area of the metal structure inside the ship is compared with the quality compliance index threshold of each thin-walled area of the metal structure inside the ship stored in the database; if the quality compliance index of a certain thin-walled area of the metal structure inside the ship is greater than or less than the quality compliance index threshold of a certain thin-walled area, then the quality compliance index of the thin-walled area of the metal structure inside the ship is recorded as the various thin-walled abnormal areas of the metal structure inside the ship, thereby obtaining the various thin-walled abnormal areas of the metal structure inside the ship.

[0048] Based on the obtained quality compliance index of each thick-walled area of the metal structure inside the ship, the quality compliance index of each thick-walled area of the metal structure inside the ship is compared with the quality compliance index threshold of each thick-walled area of the metal structure inside the ship stored in the database. If the quality compliance index of a thick-walled area of the metal structure inside the ship is less than or greater than the quality compliance index threshold of a thick-walled area, then the thick-walled area of the metal structure inside the ship is recorded as a thick-wall abnormal area of the metal structure inside the ship, and then the various thick-wall abnormal areas of the metal structure inside the ship are obtained.

[0049] The abnormal areas of the metal structure inside the ship are analyzed, and the abnormal areas include abnormal thin-wall areas and abnormal thin-wall areas of the metal structure inside the ship.

[0050] In the structural processing module, based on the obtained quality compliance index of each thin-walled area and the quality compliance index of each thick-walled area of the metal structure inside the ship, the abnormal areas of the metal structure inside the ship are screened, and the laser paint removal hazard index of the metal structure inside the ship is analyzed, which improves the paint removal efficiency and reduces energy waste. At the same time, it avoids the problem of damage to the thin-walled part of the metal structure inside the ship due to excessive increase in laser energy, thereby reducing the risk of harmful substance residue and avoiding safety hazards.

[0051] Structural feedback module: Based on the obtained laser paint removal hazard index of the metal structure inside the ship, system feedback is provided and early warning prompts are issued.

[0052] In the above embodiment, the specific analysis method of the laser paint removal hazard index of the metal structure inside the ship is as follows:

[0053] Based on the obtained abnormal areas of the metal structure inside the ship, images of the abnormal areas are collected. Through image recognition, the grayscale values corresponding to the pixels of the abnormal areas of the metal structure inside the ship are obtained and compared with the burning grayscale value range stored in the database. If the grayscale values corresponding to the pixels of the abnormal area of the metal structure inside the ship are within the burning grayscale value range, the grayscale values corresponding to the pixels of the abnormal area of the metal structure inside the ship are recorded as burning pixels, and the number of burning pixels of the abnormal areas of the metal structure inside the ship is obtained, and then the laser paint removal hazard index of the metal structure inside the ship is analyzed. The specific calculation formula is: Among them, c e represents the number of burned pixels in the e-th abnormal area of the metal structure inside the ship, c' represents the reference number of burned pixels in the abnormal area of the metal structure inside the ship, e=1,2,...,o, e represents the number of the abnormal area, and o represents the number of the abnormal area.

[0054] It should be noted that the reference content of metal elements is determined by the product specifications provided by the material supplier.

[0055] In the above embodiment, the system feedback is performed, and its specific analysis method is: based on the obtained laser paint removal hazard index of the metal structure inside the ship, the laser paint removal hazard index of the metal structure inside the ship is compared with the laser paint removal hazard index threshold of the metal structure inside the ship stored in the database; if the laser paint removal hazard index of the metal structure inside the ship is less than the laser paint removal hazard index threshold of the metal structure inside the ship, the laser paint removal hazard index of the metal structure inside the ship is recorded as insufficient laser paint removal of the metal structure inside the ship, the laser paint removal intensity is increased, and an early warning prompt is issued.

[0056] If the laser paint removal hazard index of the metal structure inside the ship is greater than or equal to the laser paint removal hazard index threshold of the metal structure inside the ship, the laser paint removal hazard index of the metal structure inside the ship will be recorded as excessive laser paint removal of the metal structure inside the ship, and a chemical dissolving and burning reagent will be used to neutralize it, and system feedback will be given, and an early warning prompt will be issued.

[0057] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the described specific embodiments or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they should all fall within the scope of protection of the present invention.

Claims

1. A laser paint removal quality feedback control system based on LIBs criterion, characterized in that: include: Structural analysis module: Classify the metal structure inside the ship through the spectrum analyzer to obtain the thin-walled areas and thick-walled areas of the metal structure inside the ship, and analyze the quality compliance index of each thin-walled area and each thick-walled area of the metal structure inside the ship; Structural processing module: Based on the obtained quality compliance index of each thin-walled area and each thick-walled area of the ship's internal metal structure, it screens abnormal areas of the ship's internal metal structure and analyzes the laser paint removal hazard index of the ship's internal metal structure; Structural feedback module: Based on the obtained laser paint removal hazard index of the metal structure inside the ship, system feedback is provided and early warning prompts are issued.

2. The laser paint removal quality feedback control system based on the LIBs criterion according to claim 1, characterized in that: The quality compliance index of each thin-walled area of the metal structure inside the ship is analyzed in the following specific method: Based on the obtained thin-walled areas and thick-walled areas of the metal structure inside the ship, the surface of the metal structure inside the ship is laser-removed using the LIBs spectrum to generate a spectral image, collect LIBs spectrum data, and obtain LIBs spectrum data, wherein the LIBs spectrum data includes: the paint layer thickness, metal element content, laser reflection value, and temperature rise rate and phase value of each thin-walled area at each time point of each thin-walled area, and the paint layer thickness, metal element content, laser reflection value, and temperature rise rate and phase value of each thick-walled area at each time point of each thin-walled area, and analyzes the corrosion compliance index R of each thin-walled area of the metal structure inside the ship. q And paint adhesion index Y q , and then analyze the quality compliance index of each thin-walled area of the metal structure inside the ship. The specific calculation formula is: D q =R q +Y q .

3. The laser paint removal quality feedback control system based on the LIBs criterion according to claim 2, characterized in that: The specific analysis method for the corrosion compliance index of each thin-walled area of the metal structure inside the ship is as follows: Based on the obtained metal element content and laser reflection value of each thin-walled area of the metal structure inside the ship, the metal element reference content and laser reflection reference value are extracted from the database, and then the anti-corrosion compliance index of each thin-walled area of the metal structure inside the ship is analyzed. The specific calculation formula is: Among them, z q is the metal element content of the qth thin-walled area of the metal structure inside the ship, z' is the metal element reference content of the thin-walled area of the metal structure inside the ship, and s q It represents the laser reflection value of the qth thin-walled area of the metal structure inside the ship, s' represents the laser reflection reference value of the thin-walled area of the metal structure inside the ship, q represents the number of the thin-walled area, q = 1, 2, ..., l, l represents the number of thin-walled areas.

4. The laser paint removal quality feedback control system based on the LIBs criterion according to claim 2, characterized in that: The specific analysis method for the paint adhesion compliance index of each thin-walled area of the metal structure inside the ship is as follows: Based on the obtained paint layer thickness of each thin-walled area of the metal structure inside the ship, the paint layer adhesion compliance index of each thin-walled area of the metal structure inside the ship is analyzed, and the specific calculation formula is: Among them, f q It is expressed as the paint layer thickness of the qth thin-walled area of the metal structure inside the ship.

5. The laser paint removal quality feedback control system based on the LIBs criterion according to claim 1, characterized in that: The quality compliance index of each thick-walled area of the metal structure inside the ship is analyzed in the following specific method: The same method of quality compliance index analysis of each thin-walled area of the metal structure inside the ship is used to obtain the quality compliance index of each thick-walled area of the metal structure inside the ship, and use it as the first quality compliance index of each thick-walled area of the metal structure inside the ship, and then analyze the second quality compliance index of each thick-walled area of the metal structure inside the ship. The specific calculation formula is: A w =K w +U w , K w It is expressed as the heating compliance index of each thick wall area of the metal structure inside the ship, U w It is represented by the flatness compliance index of each thick-walled area of the metal structure inside the ship, and w is represented by the number of the thick-walled area.

6. The laser paint removal quality feedback control system based on the LIBs criterion according to claim 5, characterized in that: The specific analysis method for the heating compliance index of each thick-walled area of the metal structure inside the ship is as follows: Based on the obtained heating rates of each thick-walled area of the metal structure inside the ship at each time point, the heating reference rates of each thick-walled area of the metal structure inside the ship are extracted from the database, and then the heating compliance index of each thick-walled area of the metal structure inside the ship is analyzed. The specific calculation formula is: Among them, p wt It represents the heating rate of the w-th thick-walled area of the metal structure inside the ship at the t-th time point, p' represents the heating reference rate corresponding to the unit thickness of the metal structure inside the ship, t = 1, 2, ..., g, t represents the time number.

7. The laser paint removal quality feedback control system based on the LIBs criterion according to claim 6, characterized in that: The specific analysis method for the flatness compliance index of each thick-walled area of the metal structure inside the ship is as follows: Based on the obtained phase value of each thick-walled area of the metal structure inside the ship at each time point, the phase difference between each time point and the previous time point is obtained, and then the phase difference value of each thick-walled area at each time point is obtained. The phase reference difference value of each thick-walled area is extracted from the database, and the flatness compliance index of each thick-walled area of the metal structure inside the ship is analyzed. The specific calculation formula is: Among them, j wt It is expressed as the phase difference value of the wth thick-wall region at the tth time point, j w ' represents the phase reference difference of the w-th thick-wall region.

8. The laser paint removal quality feedback control system based on the LIBs criterion according to claim 1, characterized in that: The specific analysis method for each abnormal area of the metal structure inside the ship is as follows: Based on the obtained quality compliance index of each thin-walled area of the metal structure inside the ship, the quality compliance index of each thin-walled area of the metal structure inside the ship is compared with a quality compliance index threshold of each thin-walled area of the metal structure inside the ship stored in a database; if the quality compliance index of a certain thin-walled area of the metal structure inside the ship is greater than or less than the quality compliance index threshold of a certain thin-walled area, the quality compliance index of the thin-walled area of the metal structure inside the ship is recorded as each thin-walled abnormal area of the metal structure inside the ship, thereby obtaining each thin-walled abnormal area of the metal structure inside the ship; Based on the obtained quality compliance index of each thick-walled region of the metal structure inside the ship, the quality compliance index of each thick-walled region of the metal structure inside the ship is compared with a quality compliance index threshold of each thick-walled region of the metal structure inside the ship stored in a database; if the quality compliance index of a certain thick-walled region of the metal structure inside the ship is less than or greater than the quality compliance index threshold of a certain thick-walled region, the thick-walled region of the metal structure inside the ship is recorded as a thick-wall abnormal region of the metal structure inside the ship, thereby obtaining each thick-wall abnormal region of the metal structure inside the ship; The abnormal areas of the metal structure inside the ship are analyzed, and the abnormal areas include abnormal thin-wall areas and abnormal thin-wall areas of the metal structure inside the ship.

9. The laser paint removal quality feedback control system based on the LIBs criterion according to claim 8, characterized in that: The specific analysis method of the laser paint removal hazard index of the metal structure inside the ship is as follows: Based on the obtained abnormal areas of the metal structure inside the ship, images of the abnormal areas are collected. Through image recognition, the grayscale values corresponding to the pixels of the abnormal areas of the metal structure inside the ship are obtained and compared with the burning grayscale value range stored in the database. If the grayscale values corresponding to the pixels of the abnormal area of the metal structure inside the ship are within the burning grayscale value range, the grayscale values corresponding to the pixels of the abnormal area of the metal structure inside the ship are recorded as burning pixels, and the number of burning pixels of the abnormal areas of the metal structure inside the ship is obtained, and then the laser paint removal hazard index of the metal structure inside the ship is analyzed. The specific calculation formula is: Among them, c e represents the number of burned pixels in the e-th abnormal area of the metal structure inside the ship, c' represents the reference number of burned pixels in the abnormal area of the metal structure inside the ship, e=1,2,...,o, e represents the number of the abnormal area, and o represents the number of the abnormal area.

10. The laser paint removal quality feedback control system based on the LIBs criterion according to claim 9, characterized in that: The specific analysis method for the system feedback is as follows: Based on the obtained laser paint removal hazard index of the metal structure inside the ship, the laser paint removal hazard index of the metal structure inside the ship is compared with a laser paint removal hazard index threshold of the metal structure inside the ship stored in a database. If the laser paint removal hazard index of the metal structure inside the ship is less than the laser paint removal hazard index threshold of the metal structure inside the ship, the laser paint removal hazard index of the metal structure inside the ship is recorded as insufficient laser paint removal of the metal structure inside the ship, and the laser paint removal intensity is increased, and an early warning prompt is issued; If the laser paint removal hazard index of the metal structure inside the ship is greater than or equal to the laser paint removal hazard index threshold of the metal structure inside the ship, the laser paint removal hazard index of the metal structure inside the ship will be recorded as excessive laser paint removal of the metal structure inside the ship, and a chemical dissolving and burning reagent will be used to neutralize it, and system feedback will be given, and an early warning prompt will be issued.

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