CN110836896A - Laser cleaning detection equipment and laser cleaning detection method - Google Patents
Laser cleaning detection equipment and laser cleaning detection method Download PDFInfo
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Abstract
The application belongs to the technical field of laser cleaning detection, and particularly relates to laser cleaning detection equipment and a laser cleaning detection method. Image detection device can judge cleaning quality according to the laser cleaning surface image of waiting to wash the part, and reflectivity detection device also can realize the cleanliness factor real-time supervision to laser cleaning surface simultaneously, realizes effectively detecting and monitoring its laser cleaning quality through two aspect of image and cleanliness factor, has promoted laser cleaning quality's detection efficiency and detection precision.
Description
Technical Field
The application belongs to the technical field of laser cleaning detection, and particularly relates to laser cleaning detection equipment and a laser cleaning detection method.
Background
In recent years, with the progress of technology and the improvement of part processing requirements, the laser cleaning technology has gradually become another novel part cleaning technology following the traditional cleaning technologies such as chemical cleaning and mechanical cleaning due to the characteristics of non-contact, non-thermal effect and suitability for surfaces made of various materials.
In the prior art, after the laser cleaning operation is completed, the surface of the cleaned part needs to be detected, but the existing detection method can only detect the surface cleaning quality of the part roughly through visual observation after the laser cleaning operation is completed, so that the detection efficiency of the laser cleaning quality is low and the detection precision is low.
Content of application
The application aims to provide laser cleaning detection equipment and a laser cleaning detection method, and aims to solve the technical problems that in the prior art, laser cleaning quality detection efficiency is low and detection precision is low.
In order to achieve the purpose, the technical scheme adopted by the application is as follows: the utility model provides a laser washs check out test set, includes quick-witted case, laser cleaning system, detecting system, control module group and is used for the centre gripping to treat the workstation that washs the part, the workstation set up in on the quick-witted case, laser cleaning system include the fiber laser and with the laser cleaning head that the fiber laser electricity is connected, the fiber laser set up in quick-witted incasement, the laser cleaning head set up in on the quick-witted case and just right the workstation sets up, detecting system includes image detection device and reflectivity detection device, image detection device with reflectivity detection device all set up in on the quick-witted case and all correspond the workstation sets up, image detection device is used for gathering treat the laser cleaning surface image that washs the part, and according to treat the laser cleaning surface image judgement laser cleaning quality of wasing the part, reflectivity detection device is used for monitoring treat the light reflectivity surface's of the laser cleaning surface of wasing the part light The control module is arranged in the case, and the optical fiber laser, the image detection device and the reflectivity detection device are electrically connected with the control module.
Optionally, the image detection device includes a vision module and a display module, the vision module corresponds to the workbench, is used for collecting the laser cleaning surface image of the part to be cleaned, and is used for identifying and judging whether the laser cleaning surface image of the part to be cleaned has surface defects, and the display module is arranged on the case and electrically connected with the vision module.
Optionally, the vision module includes a CCD camera and an image processing module electrically connected to the CCD camera, the CCD camera is disposed in the laser cleaning head and corresponds to the worktable, the image processing module is configured to identify and determine whether a surface defect exists in a laser cleaning surface image of the part to be cleaned, and the display module is electrically connected to the image processing module.
Optionally, the reflectivity detection device includes a first oscilloscope, an optical filter and a photoelectric tube, the optical filter is disposed above the chassis and corresponds to the workbench, the photoelectric tube is disposed on a side of the optical filter away from the workbench, and the first oscilloscope is disposed on the chassis and electrically connected to the photoelectric tube.
Optionally, the reflectivity detection apparatus further includes a second oscilloscope, an amplifier, and a filter, the filter is disposed on the case and obtains temperature information of the part to be cleaned through a thermocouple, the amplifier is disposed on the case and connected to the filter, and the second oscilloscope is connected to the amplifier.
The beneficial effect of this application: the laser cleaning detection equipment provided by the embodiment of the application, during operation, control module group control fiber laser outputs laser beam to the laser cleaning head, and the laser cleaning head acts on the part to be cleaned on the workstation with laser beam afterwards, realizes the laser cleaning operation. When the part to be cleaned needs to detect the quality of the surface to be cleaned, the image detection device of the detection system can acquire the laser cleaning surface image of the part to be cleaned, and the laser cleaning quality of the cleaning surface is judged according to the laser cleaning surface image of the part to be cleaned, meanwhile, the reflectivity detection device of the detection system can also realize the real-time monitoring of the light reflectivity of the laser cleaning surface of the part to be cleaned under the control of the control module, and then the cleanliness information of the laser cleaning surface can be obtained, and the higher the cleanliness of the laser cleaning surface is, the less the types and the quantity of the pollutant impurities of the laser cleaning surface are, in the judgment of cleanliness, an obvious tolerance exists, and when the pollutant is below the tolerance, the influence of the pollutant on the electrical characteristics, yield and reliability of parts to be cleaned can be reduced sharply and can be ignored. When the pollutant exceeds the tolerance limit, the influence of the pollutant on the electrical property, the yield and the reliability of the part to be cleaned is obviously improved, so that the part to be cleaned is regarded as unclean as long as the pollutant is above the tolerance limit, the reflectivity detection device can judge the pollutant residual condition of the laser cleaning surface by acquiring the cleanliness information of the laser cleaning surface, and further carry out real-time control and information feedback on the laser cleaning process, thus, the reflectivity detection device can monitor the reflectivity of the cleaning surface in real time by combining with the reflected light of the cleaning surface of the image detection device, surface acoustic waves caused by the laser beam irradiating on the cleaning surface and laser cleaning surface images so as to comprehensively judge the cleaning effect. And according to the laser cleaning effect, the laser power supply can be turned off at any time in the cleaning process, and the cleaning is stopped. Therefore, the laser cleaning detection equipment provided by the embodiment of the application realizes effective detection and monitoring of the laser cleaning quality from the cleaning surface image and the light reflectivity of the part to be cleaned, and the detection efficiency and the detection precision of the laser cleaning quality are obviously improved. The real-time detection and monitoring of the whole laser cleaning process are realized.
Another technical scheme adopted by the application is as follows: a laser cleaning detection method comprises the following steps:
s1: collecting a cleaning surface image of a part to be cleaned in a laser cleaning process;
s2: storing and identifying defect characteristics of the collected cleaning surface image;
s3: comparing the cleaned surface image identified by the defect characteristics with a surface defect image stored in a database, and sending an alarm signal when the cleaned surface image is matched with the surface defect image.
Optionally, the step S1 includes:
s11: acquiring a positive light image in the cleaning surface image;
s12: and acquiring a sidelight image in the cleaning surface image.
Optionally, the step S2 includes:
s21: positioning and storing the collected front light image and the side light image;
s22: the positioned and stored front light image and the side light image are subjected to segmentation, feature calibration and image enhancement;
s23: and carrying out defect analysis and identification processing on the front light image and the side light image which are subjected to segmentation, feature calibration and image enhancement processing.
Optionally, the step S22 includes the following steps:
s221: the positioned and stored front light image and side light image are subjected to segmentation processing;
s222: performing characteristic calibration processing on each front light image and each side light image after the segmentation processing;
s223: establishing brightness curves of the front light images and the side light images after characteristic calibration;
s224: drawing a brightness curve of each positive light image and each side light image, and establishing an illumination model of each positive light image and each side light image;
s225: and performing image enhancement processing on each front light image and each side light image according to the illumination model of each front light image and each side light image.
Optionally, the step S225 includes:
s2251: according to the illumination model of each front light image and each side light image, performing subtraction, rotation, turnover, scaling or translation processing on each front light image and each side light image;
s2252: and carrying out contrast conversion, noise disturbance or color conversion processing on each front light image and each side light image according to the illumination model of each front light image and each side light image.
The embodiment of the application provides a laser cleaning detection method, through the washing surface image of gathering the part of waiting to wash in the laser cleaning process, and to the washing surface image who gathers save, handle and discernment, the washing surface image through characteristic identification carries out the comparison with the surface defect image of saving in the database again, so just can have the defect to wash the surface and carry out quick discernment and warning, can discover the defect on part washing surface in real time like this in the cleaning process, and then can in time correct the elimination to the defect, laser cleaning efficiency and quality have just so been showing to be promoted, laser cleaning's rework rate has been reduced.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.
Fig. 1 is a schematic system diagram of a laser cleaning detection apparatus provided in an embodiment of the present application;
fig. 2 is a schematic view of another system of a laser cleaning detection apparatus according to an embodiment of the present disclosure;
fig. 3 is a process flow diagram of a laser cleaning detection method provided in an embodiment of the present application;
FIG. 4 is a flowchart of one implementation of step S1 in FIG. 3;
FIG. 5 is a flowchart of one implementation of step S2 in FIG. 3;
FIG. 6 is a flowchart of one implementation of step S22 in FIG. 5;
FIG. 7 is a flowchart of one implementation of step S225 in FIG. 6;
fig. 8 is an implementation route diagram when the laser cleaning detection method provided in the embodiment of the present application is applied to a laser cleaning detection device.
Wherein, in the figures, the respective reference numerals:
10-laser cleaning system 11-optical fiber laser 12-laser cleaning head
13-target spot instrument 14-power meter 20-detection system
21-image detecting device 22-reflectivity detecting device 30-control module
40-workbench 50-part to be cleaned 60-database
211-vision module 212-display module 213-laser beam
214-laser cleaning surface 215-contaminant 221-first oscilloscope
222-optical filter 223-photoelectric tube 224-second oscilloscope
225-Amplifier 226-Filter 227-thermocouple
228-plate glass.
Detailed Description
Reference will now be made in detail to embodiments of the present application, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to fig. 1-8 are exemplary and intended to be used to illustrate the present application and should not be construed as limiting the present application.
In the description of the present application, it is to be understood that the terms "length," "width," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," and the like, as used herein, refer to an orientation or positional relationship indicated in the drawings, which is for convenience and simplicity of description, and does not indicate or imply that the referenced device or element must have a particular orientation, be constructed and operated in a particular orientation, and thus, is not to be considered as limiting.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present application, "a plurality" means two or more unless specifically limited otherwise.
In this application, unless expressly stated or limited otherwise, the terms "mounted," "connected," "secured," and the like are to be construed broadly and can include, for example, fixed connections, removable connections, or integral parts; can be mechanically or electrically connected; either directly or indirectly through intervening media, either internally or in any other relationship. The specific meaning of the above terms in the present application can be understood by those of ordinary skill in the art as appropriate.
As shown in fig. 1 to 3, an embodiment of the present application provides a laser cleaning detection apparatus, which includes a chassis, a laser cleaning system 10, a detection system 20, a control module 30, and a workbench 40 for clamping a part 50 to be cleaned, where the workbench 40 is disposed on the chassis, the laser cleaning system 10 includes a fiber laser 11 and a laser cleaning head 12 electrically connected to the fiber laser 11, the fiber laser 11 is disposed in the chassis, and an output power of the fiber laser 11 is calibrated and calculated with a laser power. The laser cleaning head 12 is disposed on the chassis and opposite to the worktable 40, and a target spot meter 13 and a power meter 14 may be disposed at the laser cleaning head 12 to measure and display the spatial distribution of the spot energy of the laser beam 213 and the laser power of the laser beam 213. The detection system 20 comprises an image detection device 21 and a reflectivity detection device 22, the image detection device 21 and the reflectivity detection device 22 are both arranged on the case and are all arranged corresponding to the workbench 40, the image detection device 21 is used for collecting laser cleaning surface 214 images of the part 50 to be cleaned, and judging the laser cleaning quality according to the laser cleaning surface 214 images of the part 50 to be cleaned, the reflectivity detection device 22 is used for monitoring the light reflectivity of the laser cleaning surface 214 of the part 50 to be cleaned, the control module 30 is arranged in the case, the optical fiber laser 11, the image detection device 21 and the reflectivity detection device 22 are both electrically connected with the control module 30.
It should be noted that: the laser cleaning technique can remove different types of contaminants 215 from the cleaning surface of the part 50 to be cleaned, which is made of different materials, so that the cleaning surface can achieve high cleanliness. Based on this, laser cleaning technology has been successfully used to clean various stains on various materials such as marble, limestone, sandstone, pottery, snowflake gypsum, plaster of paris, aluminum, bone, vellum, and organic matter, the kinds of stains including dust, mud, rust, paint, oil stains, etc.
Meanwhile, the laser cleaning technology can also realize accurate positioning of the cleaning surface of the part 50 to be cleaned. The laser beam 213 can be precisely positioned on the surface to be cleaned, and the spot area can be adjusted from millimeter to centimeter, while also achieving effective cleaning of irregular or more concealed surfaces. During laser cleaning, the laser cleaning head 12 or the fiber optic cable used to conduct the laser beam 213 may be placed on a movable three-dimensional platform such that the laser beam 213 is positioned on the surface of the material to be cleaned. Computer control may also be employed to make such positioning more accurate and automated.
Secondly, the laser cleaning technology can also effectively remove the pollution particles with micron-sized or even smaller sizes. Some contaminants 215 may be on the order of microns or even sub-microns in size, such as airborne particles of electronic printed wiring boards during etching and plating processes. Conventional cleaning techniques are difficult to remove such contaminants 215. In the laser cleaning and detecting apparatus provided in the embodiment of the present application, the fiber laser 11 may be a short pulse ultraviolet laser, which generates a short pulse ultraviolet laser beam 213, and the short pulse ultraviolet laser beam 213 can effectively remove the tiny particles with the cleaning surface size of about 0.1 μm on the part 50 to be cleaned.
And because the laser cleaning technology does not use any chemical solvent or other consumables, the environment-friendly, green and environmental-friendly cleaning agent is environment-friendly, and the waste smoke generated in the cleaning process is easy to absorb and treat, has low noise and no harm to the human health, belongs to non-contact cleaning, and has no medium residue and no secondary pollution.
The laser cleaning detection device provided by the embodiment of the present application is further described as follows: the laser cleaning detection equipment provided by the embodiment of the application, during operation, control module 30 controls fiber laser 11 to output laser beam 213 to laser cleaning head 12, and laser cleaning head 12 acts on laser beam 213 on workstation 40 later and treats cleaning part 50, realizes the laser cleaning operation. When the part 50 to be cleaned needs to be inspected for the quality of the surface to be cleaned, the image inspection device 21 of the inspection system 20 can acquire the image of the laser-cleaned surface 214 of the part 50 to be cleaned, and can determine the laser-cleaned quality of the surface to be cleaned according to the image of the laser-cleaned surface 214 of the part 50 to be cleaned, and at the same time, the reflectivity inspection device 22 of the inspection system 20 can also realize real-time monitoring of the light reflectivity of the laser-cleaned surface 214 of the part 50 to be cleaned under the control of the control module 30, so as to obtain the cleanliness information of the laser-cleaned surface 214, and the higher the cleanliness of the laser-cleaned surface 214 indicates that the impurity types and the number of the pollutants 215 on the laser-cleaned surface 214 are less, and in the cleanliness determination, an obvious tolerance exists, and when the pollutants 215 are below the tolerance, the electrical characteristics, the yield, the electrical characteristics, the influence of reliability is reduced sharply and can be ignored. When the contaminant 215 exceeds the tolerance, the influence of the contaminant on the electrical characteristics, yield and reliability of the part 50 to be cleaned is remarkably increased, so that the contaminant 215 is regarded as non-clean as long as the contaminant 215 is above the tolerance, and the reflectivity detection device 22 can judge the residual condition of the contaminant 215 on the laser cleaning surface 214 by acquiring the cleanliness information of the laser cleaning surface 214, and further perform real-time control and information feedback on the laser cleaning process, so that the reflectivity detection device 22 can monitor the reflectivity of the cleaning surface, the surface acoustic wave caused by the laser beam 213 irradiating on the cleaning surface and the image of the laser cleaning surface 214 in real time by combining the reflected light of the cleaning surface by the image detection device 21, and comprehensively judge the cleaning effect. And according to the laser cleaning effect, the laser power supply can be turned off at any time in the cleaning process, and the cleaning is stopped. Therefore, the laser cleaning detection equipment provided by the embodiment of the application realizes effective detection and monitoring of the laser cleaning quality from the cleaning surface image and the light reflectivity of the part 50 to be cleaned, and the detection efficiency and the detection precision of the laser cleaning quality are obviously improved. The real-time detection and monitoring of the whole laser cleaning process are realized.
In another embodiment of the present application, as shown in fig. 1, the image detecting device 21 includes a vision module 211 and a display module 212, the vision module 211 is disposed corresponding to the workbench 40 and is configured to collect the laser cleaning surface 214 image of the part 50 to be cleaned and is configured to identify and determine whether there is a surface defect in the laser cleaning surface 214 image of the part 50 to be cleaned, and the display module 212 is disposed on the chassis and electrically connected to the vision module 211. Specifically, when the image detection device 21 works, the vision module 211 can collect the real-time image of the cleaning surface of the part 50 to be cleaned in the laser cleaning process, and perform real-time identification and analysis and judgment on the defects on the surface, and the display module 212 can display the real-time image of the cleaning surface collected by the vision imaging module on an operator, and can mark the defects in the image, so that the operator can take further treatment measures on the defects.
In another embodiment of the present application, the vision module 211 includes a CCD camera (not shown) and an image processing module (not shown) electrically connected to the CCD camera, the CCD camera is disposed in the laser cleaning head 12 and corresponding to the worktable 40, the image processing module is used for identifying and determining whether there is a surface defect in the laser cleaning surface 214 image of the part 50 to be cleaned, and the display module 212 is electrically connected to the image processing module. Specifically, when the vision module 211 works, the CCD camera of the vision module can collect a real-time image of the cleaning surface of the part 50 to be cleaned, and transmit the real-time image back to the image processing module, the image processing module identifies and judges a possible defect in the real-time image, and when the image processing module identifies the defect, the defect is marked and displayed to the operator through the display module 212.
Alternatively, the CCD camera and cooperative reflectance detection device 22 determine the effectiveness of the cleaning by acquiring real-time images and detecting the reflectance of light from the cleaning surface. Then, according to the cleaning effect, the laser power supply is turned off at any time during the cleaning process, and the cleaning is terminated or the parameter setting of the fiber laser 11 is adjusted and then the cleaning is performed.
In another embodiment of the present application, as shown in fig. 2, the reflectivity detecting device 22 includes a first oscilloscope 221, an optical filter 222 and a photoelectric tube 223, the optical filter 222 is disposed above the chassis and is disposed corresponding to the workbench 40, the photoelectric tube 223 is disposed on a side of the optical filter 222 away from the workbench 40, and the first oscilloscope 221 is disposed on the chassis and is electrically connected to the photoelectric tube 223. The photoelectric tube 223 can detect the reflectivity of the surface cleaning light or the surface acoustic wave generated by the laser beam 213 irradiated on the surface to be cleaned by receiving the reflected light such as the probe light reflected from the surface to be cleaned, and further acquire the cleanliness of the surface to be cleaned based on the above information, thereby determining the laser cleaning effect of the surface to be cleaned.
Specifically, as a working means of the reflectivity detection device 22, it can detect the laser light or other light reflected by the cleaning surface of the part 50 to be cleaned through the photoelectric tube 223, and convert the optical signal into an electrical signal to be output to the first oscilloscope 221, the first oscilloscope 221 can convert the electrical signal into a waveform diagram to be displayed to an operator, and the operator can judge whether the cleaning surface is flat or not in the laser process by observing the change of the waveform diagram, and can also perform interactive proofreading on the judgment result of the image processing module.
In another embodiment of the present application, as shown in fig. 1, the reflectivity detecting mechanism 22 further includes a second oscilloscope 224, an amplifier 225 and a filter 226, the filter 226 is disposed on the cabinet and obtains the temperature information of the part 50 to be cleaned through a thermocouple 227, the amplifier 225 is disposed on the cabinet and connected to the filter 226, and the second oscilloscope 224 is connected to the amplifier 225. Specifically, the thermocouple 227 can indirectly obtain the temperature information of the part 50 to be cleaned during laser cleaning through the plate glass 228 spaced apart from the part 50 to be cleaned, and can also be directly connected to the part 50 to be cleaned. In the laser cleaning process, when the laser beam 213 acts on the cleaning surface of the part 50 to be cleaned, the surface of the part forms layers of substances arranged in order, for example, layers of natural oxide layers and the like formed on the metal on the surface, energy level differences exist among the layers due to different energy level densities, the capability of adsorbing particles polluting slag substances on the layers is different, and potential differences exist among the layers. The effect of the differences in energy levels of the various layers on the quality of the surface cleaning needs to be considered. Since the energy level difference is accompanied by the temperature difference, as another working means of the reflectivity detection apparatus 22, the thermal signal of the part 50 to be cleaned is converted into an electrical signal by the thermocouple 227, and the electrical signal is output to the second oscilloscope 224 through the filter 226 and the amplifier 225, and then is displayed to the operator through the second oscilloscope 224 through a waveform diagram, so that the operator can know whether the temperature change of the surface to be cleaned of the part 50 to be cleaned is normal or not in real time, and thus, the effective monitoring of the surface energy level change in the laser cleaning process is realized from the temperature monitoring angle in the laser cleaning.
As shown in fig. 3 to 5, an embodiment of the present application further provides a laser cleaning detection method, including the following steps:
s1: collecting a cleaning surface image of the part 50 to be cleaned in the laser cleaning process;
s2: storing and identifying defect characteristics of the collected cleaning surface image;
s3: the cleaned surface image identified by the defect characteristics is compared with the surface defect images stored in the database 60 and an alarm signal is issued when the cleaned surface image matches the surface defect images.
In the laser cleaning process, defects such as unevenness and scratches are generated on the surface of a product after laser cleaning due to various reasons such as improper process and operation in the production or processing process of the raw material in the early stage, and the defects not only affect the appearance of the product, but also bring problems to the quality of the product. The detection of the surface defects of the products is more and more emphasized by manufacturers. Defects on hardware components will directly affect the appearance and quality of laser cleaning. Scratch defects are an important factor affecting the quality of laser cleaning. The laser cleaning method provided by the embodiment of the application can realize automatic detection of defects such as scratches on the hardware component waiting to be cleaned 50 by using an image processing technology.
Specifically, aiming at the defects such as scratches on the cleaning surface and the like in the laser cleaning process, on the basis of adopting the image recognition technologies such as image acquisition and defect feature recognition, various objects to be recognized can be further customized and trained, and the database 60 is enriched. And large data image recognition, graphic image processing and the like based on deep learning can be further introduced, and the brain and the eyes are arranged on the laser cleaning equipment. Based on this, the laser cleaning detection method provided by the embodiment of the application integrates professional algorithms of image processing, big data, feature extraction and intelligent identification, and provides a complete solution for applications such as laser cleaning intelligent vision, nondestructive testing, industrial flaw detection and structural analysis.
The laser cleaning detection method provided by the embodiment of the present application is further described as follows: the embodiment of the application provides a laser cleaning detection method, through the washing surface image of gathering the part 50 of waiting to wash in the laser cleaning process, and to the washing surface image who gathers save, handle and discernment, the washing surface image through characteristic identification compares with the surface defect image of saving in the database 60 again, so just can have the defect to wash the surface and carry out quick discernment and warning, can discover the defect on part washing surface in real time like this in the cleaning process, and then can in time correct the elimination to the defect, so just showing and promoting laser cleaning efficiency and quality, laser cleaning's rework rate has been reduced.
In another embodiment of the present application, as shown in fig. 4, step S1 includes:
s11: collecting a positive light image in the cleaning surface image;
s12: a sidelight image is acquired in the image of the cleaned surface. The positive light image in the cleaning surface image is a positive image of the cleaning surface of the part 50 to be cleaned. And the side light image is a side light image to the cleaning surface of the part 50 to be cleaned.
Specifically, the collected front light image and the collected side light image of the cleaning surface of the part 50 to be cleaned enrich the collected image angle of the cleaning surface of the part 50 to be cleaned, so that the accuracy of identifying the defects on the cleaning surface of the part 50 to be cleaned is improved.
In another embodiment of the present application, as shown in fig. 5, step S2 includes:
s21: positioning and storing the collected positive light image and the collected side light image;
s22: the positioned and stored front light image and side light image are subjected to segmentation, feature calibration and image enhancement;
s23: and performing defect analysis and identification processing on the positive light image and the side light image which are subjected to segmentation, feature calibration and image enhancement processing.
Specifically, the unit areas of the front light image and the side light image can be identified and analyzed one by segmenting the front light image and the side light image, so that the identification precision of the front light image and the side light image is effectively improved, and then the front light image and the side light image are subjected to image enhancement, so that the identification degree of defect characteristics possibly existing in the front light image and the side light image can be further improved.
Alternatively, when the front light image and the side light image are subjected to the segmentation processing, it may be considered to perform the segmentation processing training by synthesizing an additional labeled sample through the labeled sample image. And the training of the segmentation processing can be further strengthened by the marking sample image obtained by synthesis.
In another embodiment of the present application, as shown in fig. 6, step S22 includes the steps of:
s221: the positioned and stored front light image and side light image are segmented;
s222: performing characteristic calibration processing on each front light image and each side light image after the segmentation processing;
s223: drawing brightness curves of the positive light images and the side light images after characteristic calibration;
s224: establishing an illumination model of each front light image and each side light image according to the brightness curve of each front light image and each side light image;
s225: and performing image enhancement processing on each front light image and each side light image according to the illumination model of each front light image and each side light image.
Specifically, the brightness curves of the front light image and the side light image are drawn, and the illumination model is established according to the brightness curves of the front light image and the side light image, so that the image enhancement processing of the front light image and each side light image can be realized according to the illumination models of the front light image and each side light image, and the accuracy and pertinence of the image enhancement processing of the front light image and each side light image are obviously improved. By researching the brightness curves of the front light image and the side light image and establishing the illumination model of the front light image and the side light image, the brightness compensation method and formula of the front light image and the side light image can be established according to the established illumination model, and further effective image enhancement processing can be realized when the part 50 to be cleaned is not uniformly illuminated.
In another embodiment of the present application, as shown in fig. 7, step S225 includes:
s2251: according to the illumination model of each front light image and each side light image, carrying out subtraction, rotation, turnover, scaling or translation processing on each front light image and each side light image;
s2252: and performing contrast conversion, noise disturbance or color conversion processing on each front light image and each side light image according to the illumination model of each front light image and each side light image.
The image enhancement processing under the multi-condition multi-factor interaction can be realized for each front light image and each side light image by performing subtraction, rotation, turnover, scaling or translation processing on each front light image and each side light image and performing contrast conversion, noise disturbance or color conversion processing on each front light image and each side light image, so that effective training of an image set of a database is realized, the image characteristics (such as defect characteristics and the like) of each front light image and each side light image can be more accurately extracted by enriching the image training set, a generalization model of each front light image and each side light image is established, the illumination model of each front light image and each side light image can be prevented from being over-fitted by establishing the generalization model, and finally the image enhancement processing of the image information of each front light image and each side light image is realized.
Meanwhile, through image enhancement processing of image information of each front light image and each side light image, enrichment of image samples stored in a database can be realized, effective training of the image samples is realized, parametric transformation of the database is improved, and meanwhile the over-fitting phenomenon of illumination models of each front light image and each side light image is further reduced, so that the detection efficiency and the detection precision of the laser cleaning detection method are effectively improved.
Optionally, in the image enhancement processing of each front light image and each side light image, the image may be subjected to subtraction, rotation, inversion, scaling, translation, or the like according to the basic features of the defects observed in each front light image and each side light image, and simultaneously, the contrast, noise disturbance, and color change of each front light image and each side light image may be adjusted to embody the defect features as much as possible, and the data set included in the database 60 is enriched. Alternatively, in the noise disturbance processing, it may be preferable to implement noise disturbance by gaussian noise or salt and pepper noise.
As shown in fig. 8, when the laser cleaning detection method of the embodiment of the present application is applied to a laser cleaning detection device, it can be roughly divided into three processes of image acquisition, image processing and display, and analysis and diagnosis, in the image acquisition, the control card in the vision module of the laser cleaning detection device triggers the image sensor when the image sensor is in the acquisition window, the image sensor drives the acquisition device to complete the image acquisition operation, and then complete the positioning, storage, image processing, and analysis and identification of the defect displayed in the image, in the image processing, the image processing module of the vision module can complete the image segmentation, the calibration of the defect feature in the image, and the image enhancement, etc., after the image defect analysis and identification is completed, the image can be compared with the image data set in the database 60 for analysis, such as matching with the image feature in the data set, the alarm is displayed, and the parameter information in the above process is displayed in the display module 212 of the laser cleaning and detecting device.
The present invention is not intended to be limited to the particular embodiments shown and described, but is to be accorded the widest scope consistent with the principles and novel features herein disclosed.
Claims (10)
1. The utility model provides a laser cleaning check out test set which characterized in that: the cleaning device comprises a case, a laser cleaning system, a detection system, a control module and a workbench used for clamping parts to be cleaned, wherein the workbench is arranged on the case, the laser cleaning system comprises a fiber laser and a laser cleaning head electrically connected with the fiber laser, the fiber laser is arranged in the case, the laser cleaning head is arranged on the case and is right opposite to the workbench, the detection system comprises an image detection device and a reflectivity detection device, the image detection device and the reflectivity detection device are both arranged on the case and correspond to the workbench, the image detection device is used for collecting laser cleaning surface images of the parts to be cleaned and judging laser cleaning quality according to the laser cleaning surface images of the parts to be cleaned, and the reflectivity detection device is used for monitoring the light reflectivity of the laser cleaning surface of the parts to be cleaned, the control module is arranged in the case, and the optical fiber laser, the image detection device and the reflectivity detection device are electrically connected with the control module.
2. The laser cleaning detection apparatus of claim 1, wherein: the image detection device comprises a vision module and a display module, wherein the vision module corresponds to the workbench and is used for collecting the laser cleaning surface image of the part to be cleaned and identifying and judging whether the laser cleaning surface image of the part to be cleaned has surface defects or not, and the display module is arranged on the case and electrically connected with the vision module.
3. The laser cleaning detection apparatus of claim 2, wherein: the vision module comprises a CCD camera and an image processing module electrically connected with the CCD camera, the CCD camera is arranged in the laser cleaning head and corresponds to the workbench, the image processing module is used for identifying and judging whether surface defects exist in the laser cleaning surface image of the part to be cleaned, and the display module is electrically connected with the image processing module.
4. The laser cleaning detection apparatus of claim 1, wherein: the reflectivity detection device comprises a first oscilloscope, an optical filter and a photoelectric tube, wherein the optical filter is arranged above the case and corresponds to the workbench, the photoelectric tube is arranged on one side of the optical filter, which is far away from the workbench, and the first oscilloscope is arranged on the case and electrically connected with the photoelectric tube.
5. The laser cleaning detection device according to any one of claims 1 to 4, characterized in that: the reflectivity detection device further comprises a second oscilloscope, an amplifier and a filter, wherein the filter is arranged on the case and acquires the temperature information of the part to be cleaned through a thermocouple, the amplifier is arranged on the case and connected with the filter, and the second oscilloscope is connected with the amplifier.
6. A laser cleaning detection method is characterized in that: the method comprises the following steps:
s1: collecting a cleaning surface image of a part to be cleaned in a laser cleaning process;
s2: storing and identifying defect characteristics of the collected cleaning surface image;
s3: comparing the cleaned surface image identified by the defect characteristics with a surface defect image stored in a database, and sending an alarm signal when the cleaned surface image is matched with the surface defect image.
7. The laser cleaning detection method according to claim 6, characterized in that: the step S1 includes:
s11: acquiring a positive light image in the cleaning surface image;
s12: and acquiring a sidelight image in the cleaning surface image.
8. The laser cleaning detection method according to claim 7, characterized in that: the step S2 includes:
s21: positioning and storing the collected front light image and the side light image;
s22: the positioned and stored front light image and the side light image are subjected to segmentation, feature calibration and image enhancement;
s23: and carrying out defect analysis and identification processing on the front light image and the side light image which are subjected to segmentation, feature calibration and image enhancement processing.
9. The laser cleaning detection method according to claim 8, characterized in that: the step S22 includes the steps of:
s221: the positioned and stored front light image and side light image are subjected to segmentation processing;
s222: performing characteristic calibration processing on each front light image and each side light image after the segmentation processing;
s223: establishing brightness curves of the front light images and the side light images after characteristic calibration;
s224: drawing a brightness curve of each positive light image and each side light image, and establishing an illumination model of each positive light image and each side light image;
s225: and performing image enhancement processing on each front light image and each side light image according to the illumination model of each front light image and each side light image.
10. The laser cleaning detection method according to claim 9, characterized in that: the step S225 includes:
s2251: according to the illumination model of each front light image and each side light image, performing subtraction, rotation, turnover, scaling or translation processing on each front light image and each side light image;
s2252: and carrying out contrast conversion, noise disturbance or color conversion processing on each front light image and each side light image according to the illumination model of each front light image and each side light image.
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