CN112718710B - Method for implementing laser cleaning of copper substrate pollutants based on red, green and blue numerical analysis - Google Patents
Method for implementing laser cleaning of copper substrate pollutants based on red, green and blue numerical analysis Download PDFInfo
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- CN112718710B CN112718710B CN202011610131.3A CN202011610131A CN112718710B CN 112718710 B CN112718710 B CN 112718710B CN 202011610131 A CN202011610131 A CN 202011610131A CN 112718710 B CN112718710 B CN 112718710B
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B08—CLEANING
- B08B—CLEANING IN GENERAL; PREVENTION OF FOULING IN GENERAL
- B08B7/00—Cleaning by methods not provided for in a single other subclass or a single group in this subclass
- B08B7/0035—Cleaning by methods not provided for in a single other subclass or a single group in this subclass by radiant energy, e.g. UV, laser, light beam or the like
- B08B7/0042—Cleaning by methods not provided for in a single other subclass or a single group in this subclass by radiant energy, e.g. UV, laser, light beam or the like by laser
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B08—CLEANING
- B08B—CLEANING IN GENERAL; PREVENTION OF FOULING IN GENERAL
- B08B13/00—Accessories or details of general applicability for machines or apparatus for cleaning
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Abstract
The invention discloses a method for implementing laser cleaning of copper substrate pollutants based on red, green and blue numerical analysis, which comprises the following steps: using a camera to perform image acquisition on a copper substrate sample; expressing each pixel point by using red, green and blue numerical values; comparing the expressed three-color values with the pollutants, and classifying different pollutants; calling different laser powers to clean according to the obtained classification result; the picture is collected again and compared with the corresponding three-color numerical value to obtain the cleaning proportion; the cleaning effect was evaluated based on the results. The method solves the problems of complex pollutant components and uneven pollutant distribution in the laser cleaning of the copper substrate, can effectively reserve the easily damaged part in the bronze product, can effectively distinguish the component composition of the pollutant, can monitor the cleaning effect in real time, and can perform corresponding adjustment according to the result; the method can protect the copper sample from being damaged and can better improve the cleaning efficiency.
Description
Technical Field
The invention belongs to the technical field of comprehensive utilization of laser technology, and relates to a method for carrying out laser cleaning on copper substrate pollutants based on red, green and blue numerical analysis.
Background
The laser cleaning technology of the copper substrate is a clean, efficient and energy-saving pollutant removing means which uses a laser to scan the surface of the copper substrate and removes the surface rust by methods such as laser ablation, thermal stress, laser oscillation and the like. The technology is widely applied to the industrial fields of navigation, aviation, automobiles and the like. But for the special substance copper substrate, the composition is more complex than other metals, and the contamination presents a more complex situation. The clean copper layer is made of red copper, brass and other alloys containing other metal elements. The copper pollutants comprise cupric oxide, basic copper carbonate, copper oxide and other oxides and basic salts with different colors and different types.
The existing laser cleaning technology cannot distinguish the composition of pollutants, and usually adopts laser with higher power to clean, and the energy density of the laser is higher than the threshold value required by all pollutants. In this case, laser cleaning tends to damage the base copper layer. Therefore, it is very important to clean the copper substrate with laser, which is efficient, safe and energy-saving.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a method for carrying out laser cleaning on copper substrate pollutants based on red, green and blue numerical analysis, which solves various technical problems in the prior art.
In order to achieve the purpose, the invention provides a method for carrying out laser cleaning on copper substrate pollutants based on red, green and blue numerical analysis, which comprises the following steps:
step 1, acquiring an image of a copper substrate sample by using a camera;
step 2, expressing each pixel point by using red, green and blue numerical values;
step 3, comparing numerical values according to the expressed three-color numerical values and pollutants, and classifying different pollutants;
step 4, calling different laser powers to clean according to the classification result;
step 5, collecting the photos again, and comparing the photos with corresponding three-color numerical values to obtain a cleaning proportion;
and 6, evaluating the cleaning effect according to the result.
In step 1, a camera with more than 600 × 800 pixels is used for shooting. The lighting conditions in the image acquisition in the step 1 are lighted by a white light LED, the brightness of the white light LED is determined according to the size of the substance to be cleaned, and the white light LED is acquired when the image is clear.
The range of the red, green and blue numerical values in the step 2 is 0-255, wherein the numerical value 0 represents the weakest, and the numerical value 255 represents the strongest; each color can be represented by three numerical values; each pixel point is composed of three values. The contaminants in step 3 are pure contaminants. The reference value of the contaminant in step 3 consists of three values. The comparison in the step 3 adopts a fuzzy comparison method.
Further, the classification in step 3 includes, in addition to contaminants, areas where the surface is indistinguishable without cleaning.
In step 4, the power of the laser is adjusted according to the type of the contaminant expressed by different values.
The camera in step 5 should be the same camera as used in step 1.
The invention provides a method for implementing laser cleaning of copper substrate pollutants based on red, green and blue numerical analysis, which has the advantages that:
1. the material identification can be completed quickly and efficiently, and the material identification and the laser cleaning control can be performed in real time;
2. the accuracy is high, the difference sum is controlled to be within 10, the difference between materials can be distinguished best, and the influence of color difference on color is eliminated.
3. The cost is low, and only a computer and a camera are needed to complete all the work, and other high-value measuring instruments are not needed for measurement.
4. The automation degree is high, the laser power can be regulated according to related results, and the effect is good.
Drawings
FIG. 1 is a schematic view of a nozzle of a high temperature, high velocity plasma jet apparatus according to the present invention;
FIG. 2 is a graph of a sample of red copper in which corrosion occurred in the examples.
FIG. 3 is a diagram of etched red copper after 300W laser cleaning in the example.
Detailed Description
The invention is further elucidated below with reference to the drawing and an embodiment example. In the following detailed description, certain exemplary embodiments of the present invention are described by way of illustration only. Needless to say, a person skilled in the art realizes that the described embodiments can be modified in various different ways without departing from the spirit and scope of the present invention. Accordingly, the drawings and description are illustrative in nature and not intended to limit the scope of the claims.
The invention discloses a method for carrying out laser cleaning on pollutants of a copper substrate based on red, green and blue numerical analysis, which is used for solving the problems of complex pollutant components and uneven pollutant distribution in the laser cleaning of the copper substrate. The method can effectively reserve the easily damaged part in the bronze product. The method for analyzing the pollutants on the copper substrate based on the red, green and blue numerical values comprises the following steps: using a camera to perform image acquisition on a copper substrate sample; expressing each pixel point by using red, green and blue numerical values; comparing the expressed three-color values with the pollutants, and classifying different pollutants; the method for implementing laser cleaning comprises the following steps: calling different laser powers to clean according to a classification result obtained by a method for analyzing the copper substrate pollutants based on red, green and blue numerical values; the photos are collected again and compared with corresponding three-color numerical values to obtain a cleaning proportion; the cleaning effect was evaluated based on the results. The method of the invention not only can effectively distinguish the composition of the pollutant, but also can monitor the cleaning effect in real time and carry out corresponding adjustment according to the result. The method can protect the copper sample from being damaged and can better improve the cleaning efficiency.
The applicant is based on classifying copper based contaminants. The devices such as the spectrometer and the like are difficult to carry, and meanwhile, the copper pollutants are distributed unevenly, so the image recognition mode is extremely efficient. Copper contaminants can often be distinguished by color, which in turn is represented in pixel representations in a red, green, and blue numerical manner.
By means of comparison of red, green and blue values, pollutants can be effectively classified according to the sum of the difference values, so that the proportion of different pollutant components is obtained, different laser powers are called according to different pollutants for cleaning, the cleaning efficiency can be effectively improved, the average power of a laser is reduced, energy loss is reduced, and meanwhile, a substrate can be effectively protected from being damaged. More importantly, the method can evaluate the cleaning effect according to different substrate colors after cleaning, so that the method can be applied to laser cleaning of automatic copper substrates. When the cleaning effect is not perfect, the method can be called to carry out secondary cleaning, so that the copper substrate can be cleaned effectively.
The invention discloses a method for implementing laser cleaning of copper substrate pollutants based on red, green and blue numerical analysis, which comprises the following steps:
step 1, acquiring an image of a copper substrate sample by using a camera; step 2, expressing each pixel point by using red, green and blue numerical values; step 3, comparing numerical values according to the expressed three-color numerical values with pollutants, and classifying different pollutants; step 4, calling different laser powers to clean according to the classification result; and 5, acquiring the photo again, and comparing the photo with the corresponding three-color numerical value to obtain the cleaning proportion.
The camera pixels in step 1 determine the resolution of the method, and a camera with more than 600 × 800 pixels is usually used for shooting. The lighting conditions in the image acquisition in the step 1 are lighted by a white light LED, the brightness of the white light LED is determined according to the size of the substance to be cleaned, and the white light LED is acquired when the image is clear.
The red, green and blue values of the step 2 range from 0 to 255. Where a value of 0 indicates the weakest and a value of 255 indicates the strongest. Each color can be represented by three numerical values. Each pixel point is composed of three numbers.
The contaminants in step 3 are pure contaminants such as: copper sulfate, copper oxide, cuprous oxide, copper chlorate, cupric oxide and other copper substrate pollutants.
The reference value of the pollutants in the step 3 consists of three numbers, and the pollutants with similar colors can be classified into one class.
In step 3, the red, green and blue values corresponding to the photos are compared with those of a clean copper substrate, the same blurring treatment method is adopted, and when the sum of the numerical value differences is less than or equal to 10, the photos are considered to be the same substance. For example: a material is considered to be a component when its RGB values are (255, 0), when the values are (254, 3, 6) or (250, 5, 0).
In step 3, the classification includes areas which are not distinguishable by material on the surface without cleaning, in addition to contaminants. Both of these cases are classified as those that do not require cleaning.
In step 4, the power of the laser is equal to different values according to different types of pollutants, and the values are obtained through experiments and simulation.
In step 5, the camera should be the same camera as the camera used in step 1. The light source employed should also remain uniform.
In step 5, the cleaned pixel number is divided by the total pixel number to obtain the cleaned proportion.
Further, the method for carrying out laser cleaning on the copper substrate pollutants based on red, green and blue numerical analysis further comprises a step 6, analysis is carried out according to the result in the step 5, if the cleaning percentage is less than 95%, the copper substrate pollutants are determined to be unqualified, and the step 1 needs to be called again for secondary cleaning.
The method for carrying out laser cleaning on the copper substrate pollutants based on red, green and blue numerical analysis distinguishes based on different colors presented among different materials and different red, green and blue numerical values of the colors. When the sum of the differences is less than 10, the same substance is considered. On the basis, the pollutants are classified and identified, and different powers are selected for cleaning. Meanwhile, the cleaning result is judged by using the method, so that the percentage of cleaning completion is obtained, and the laser cleaning process of the copper substrate is completed better and faster. The invention has the remarkable characteristics that: using a camera to perform image acquisition on a copper substrate sample; expressing each pixel point by using red, green and blue numerical values; comparing the expressed three-color values with the pollutants, and classifying different pollutants; calling different laser powers to clean according to the classification result; and acquiring the picture again, and comparing the picture with the corresponding three-color numerical value to obtain a cleaning proportion.
The invention establishes a novel method for distinguishing the same substance, and when the sum of the numerical difference values of red, green and blue is less than 10, the materials are considered as the same substance. In fig. 2, the three color values of red, green and blue at this point are: [92, 149, 109] compared with the value [89, 146, 111] of standard Aerugo, the difference between the values is [3, 2], and the sum of the three numbers is less than 10, so that the component is judged to be the Aerugo.
The method for implementing the laser cleaning of the copper substrate pollutants based on the red, green and blue numerical analysis comprises the following steps: using a camera to acquire an image of the copper substrate sample; expressing each pixel point by using red, green and blue numerical values; comparing the expressed three-color values with the pollutants, and classifying different pollutants; calling different laser powers to clean according to the classification result; and acquiring the photo again, and comparing the photo with the corresponding three-color numerical value to obtain the cleaning proportion.
For the copper substrate in step 1, the sample we used was red copper, which corroded, as shown in figure one. The standard color of the copper substrate is [119, 65, 31], the standard color of the verdigris is [89, 146, 111], and the verdigris accounts for 89.3 percent. Nd with 1064nm and a pulse repetition frequency of 100 Hz: YAG laser, 300W is used for cleaning the corroded copper, and the photo is collected as shown in figure two, wherein the copper content is 97.6%, and the cleaning proportion is 97.6%.
The above are only preferred embodiments of the present invention, and the scope of the present invention is not limited to the above examples, and all technical solutions that fall under the spirit of the present invention belong to the scope of the present invention. It should be noted that modifications and embellishments within the scope of the invention may occur to those skilled in the art without departing from the principle of the invention, and are considered to be within the scope of the invention.
Claims (6)
1. A method for carrying out laser cleaning on copper substrate pollutants based on red, green and blue numerical analysis is characterized by comprising the following steps:
step 1, acquiring an image of a copper substrate sample by using a camera; in the step 1, shooting is carried out by adopting a camera with more than 600 × 800 pixels; the lighting condition in the image acquisition in the step 1 is lighted by a white light LED, the brightness of the white light LED is determined according to the size of a substance to be cleaned, and the white light LED is acquired when the image is clear;
step 2, expressing each pixel point by using red, green and blue numerical values; the range of the red, green and blue numerical values in the step 2 is 0-255, wherein the numerical value 0 represents the weakest, and the numerical value 255 represents the strongest; each color can be represented by three numerical values; each pixel point consists of three numerical values;
step 3, comparing numerical values according to the expressed three-color numerical values and pollutants, and classifying different pollutants; the method for carrying out laser cleaning on the copper substrate pollutants based on red, green and blue numerical analysis distinguishes based on different colors presented among different materials and different red, green and blue numerical values of the different colors; when the sum of the difference values is less than 10, the two substances are considered as the same substance;
step 4, calling different laser powers to clean according to the classification result;
step 5, collecting the photos again, and comparing the photos with corresponding three-color numerical values to obtain a cleaning proportion;
and 6, evaluating the cleaning effect according to the result.
2. The method for performing laser cleaning of copper substrate contaminants based on red green blue numerical analysis as claimed in claim 1, wherein: the contaminants in step 3 are pure contaminants.
3. The method for performing laser cleaning of copper substrate contaminants based on red green blue numerical analysis as claimed in claim 1, wherein: the reference value of the contaminant in step 3 consists of three values.
4. The method for performing laser cleaning of copper substrate contaminants based on red green blue numerical analysis according to claim 1, wherein: the comparison in the step 3 adopts a fuzzy comparison method.
5. The method for performing laser cleaning of copper substrate contaminants based on red green blue numerical analysis as claimed in claim 1, wherein: the classification in step 3 includes, in addition to contaminants, areas of the surface that are not to be cleaned and are already indistinguishable by material.
6. The method for performing laser cleaning of copper substrate contaminants based on red green blue numerical analysis according to claim 1, wherein: in step 4, the power of the laser is adjusted according to the type of the contaminant expressed by different values.
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