CN113664377A - Laser marking system capable of self-learning and adjusting parameters - Google Patents
Laser marking system capable of self-learning and adjusting parameters Download PDFInfo
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- CN113664377A CN113664377A CN202010408348.XA CN202010408348A CN113664377A CN 113664377 A CN113664377 A CN 113664377A CN 202010408348 A CN202010408348 A CN 202010408348A CN 113664377 A CN113664377 A CN 113664377A
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- 238000010330 laser marking Methods 0.000 title claims abstract description 75
- 238000007405 data analysis Methods 0.000 claims description 35
- 230000007246 mechanism Effects 0.000 claims description 23
- 239000000463 material Substances 0.000 claims description 16
- 238000001514 detection method Methods 0.000 claims description 13
- 238000001228 spectrum Methods 0.000 claims description 3
- 239000003550 marker Substances 0.000 description 6
- 238000000034 method Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 3
- 238000006243 chemical reaction Methods 0.000 description 2
- 230000008520 organization Effects 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 238000010147 laser engraving Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B23—MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
- B23K—SOLDERING OR UNSOLDERING; WELDING; CLADDING OR PLATING BY SOLDERING OR WELDING; CUTTING BY APPLYING HEAT LOCALLY, e.g. FLAME CUTTING; WORKING BY LASER BEAM
- B23K26/00—Working by laser beam, e.g. welding, cutting or boring
- B23K26/36—Removing material
- B23K26/362—Laser etching
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B23—MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
- B23K—SOLDERING OR UNSOLDERING; WELDING; CLADDING OR PLATING BY SOLDERING OR WELDING; CUTTING BY APPLYING HEAT LOCALLY, e.g. FLAME CUTTING; WORKING BY LASER BEAM
- B23K26/00—Working by laser beam, e.g. welding, cutting or boring
- B23K26/70—Auxiliary operations or equipment
- B23K26/702—Auxiliary equipment
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- Engineering & Computer Science (AREA)
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- Optics & Photonics (AREA)
- Plasma & Fusion (AREA)
- Mechanical Engineering (AREA)
- Laser Beam Processing (AREA)
Abstract
A laser marking system capable of learning and adjusting parameters independently is used for learning and adjusting parameters independently of a laser marking machine. The laser beam emitted by the laser marking machine can be projected to a marking object for marking; a sliding table on which the marked object is arranged; the laser marking machine irradiates a laser beam on the marked object; a motor connected with the sliding table and used for controlling the sliding table to move in the direction of the X, Y axis; a computer device connected to the laser marking machine; the user input device is connected with the computer device and receives the information input by the user, the input information is used for controlling each parameter which needs to be adjusted when the laser marking machine marks, the input information refers to the coefficient which can be controlled by the user, and the input information is the input items which are easier to understand by the user and the parameters which are easier to set, such as the required color, brightness, color temperature and display size of the marking target.
Description
Technical Field
The invention relates to a laser marking system, which is mainly a laser marking system capable of independently learning and adjusting parameters.
Background
The laser marking machine uses laser beam to achieve high focusing through the processing of lens, and uses laser beam to achieve the purpose of marking, material removing, cutting or carving on the laser processing object. The marked article is typically placed on a slide. And then the motor is used for controlling the movement and the rotation of the sliding table, and the sliding table is moved to a position suitable for marking so as to carry out marking operation.
In the prior art, parameters are required to be adjusted during marking so that the output result of marking can meet the requirement of a user, and the parameters which can be controlled by a general laser marking machine include marking speed, laser power or energy, color, distribution of laser projection points and the like. These parameters are not easy to know if not professional users, and even though the parameters are set, the users have difficulty in anticipating the result after marking in advance, and often need to take the object for marking to know the result and adjust the parameters. There is not only operational difficulty but also unpredictability of the results.
Parameters familiar to the person skilled in the art are color, brightness, color temperature, display size, etc., rather than parameters relevant to the operation of a laser marker. Therefore, the present invention is to provide a novel parameter conversion system, which enables the user to directly use the familiar parameters to obtain the operating parameters of the laser after being converted by the conversion system, and to display the operating parameters on the display device and the user, and if the user agrees, the parameters are transmitted to the marking machine for marking, so as to solve the defects in the prior art.
Disclosure of Invention
Therefore, the present invention is directed to solve the above-mentioned problems of the prior art, and the present invention provides a laser marking system capable of learning and adjusting parameters automatically, wherein a user can input required parameters in a most familiar manner, and then the system converts the parameters into marking parameters acceptable by the laser marking machine through the converter, so as to control the laser marking machine and the sliding table by using the marking parameters to process a required pattern. The user can directly use the learned parameters to directly operate the laser marking machine without learning to operate the laser marking machine. The parameters input by the user can directly obtain the expected result through the display, so that the favorite marking result can be obtained through continuous adjustment, and the parameters are input into the system of the invention to control the laser marking machine to process the required pattern or laser carving pattern. The system of the invention can also collect a large amount of data through the network, and strengthen the whole prediction ability through continuous learning, so that the user can operate the laser marking machine more easily and obtain better results.
The present invention provides a laser marking system capable of learning and adjusting parameters independently, which is used for learning and adjusting parameters independently of a laser marking machine. The laser beam emitted by the laser marking machine can be projected to a marking object for marking; a sliding table on which the marked object is arranged; the laser marking machine can irradiate a laser beam on the marked object; the motor is connected with the sliding table and is mainly used for controlling the sliding table to move in the direction of the X, Y axis, so that the sliding table can be moved to a position suitable for marking; a computer device connected with the laser marking machine and used for marking the graph of the whole marking space, receiving the marking graph input by a user and planning the marking operation; the user input device is connected with the computer device and receives the information input by the user, wherein the input information is used for controlling each parameter which needs to be adjusted when the laser marking machine marks, the input information refers to the coefficient which can be controlled by the user, and the input information is the input items which are easier to understand by the user and the parameters which are easier to set, such as the required color, brightness, color temperature and display size of the marking target. And the converter is connected with the user input device and is used for converting parameters input by a user into various parameters required to be adjusted during marking, and transmitting the parameters to the laser marking control machine in the laser marking machine so as to control the moving positions of the marking galvanometer, the laser marking machine and the sliding table and control related mechanisms to mark.
Furthermore, the marking device also comprises a detection device for detecting the marking result and transmitting the detection result back to the data analysis system.
Furthermore, the detecting device comprises a material judging mechanism for determining the material of the marked object, and the method comprises the steps of emitting different light rays to judge the color of the marked object, or determining the material by the distribution of the frequency spectrum of the reflected light received by a mass spectrometer.
The marking system comprises a data analysis system, a marking device and a marking device, wherein the data analysis system is used for analyzing data after each marking to find out the corresponding relation between the user control parameter and the marking parameter; listing the corresponding relation between the user control parameters and the marking parameters and the marked result according to the material and memorizing;
the data analysis system also comprises an arithmetic logic device for storing the arithmetic logic between the input control coefficient of the user and the marking parameters, so that for each specific marking object, when the parameters of the user are not suitable for the parameters of the specific marking object, the arithmetic logic device can calculate the corresponding marking parameters according to the corresponding arithmetic logic;
the data analysis system also comprises an output device and outputs the result analyzed by the data analysis system.
Further, a data analysis system is connected with the detection device to receive the result detected by the detection device, and the data after each marking is analyzed to find out the corresponding relation between the user control parameter and the marking parameter; listing the corresponding relation between the user control parameters and the marking parameters and the marked result according to the material and memorizing; the data analysis system analyzes the difference between the detected result and the parameter, provides the correction of the parameter, and makes the user perform proofing again after determining the difference, and the user can also perform proofing after directly adjusting the parameter; these data are recorded in a data analysis system to provide autonomous learning and reference for later proofing parameter adjustment.
Further, a display is connected with the output device for receiving the data output from the data analysis system and displaying the data for the user to view.
Furthermore, when receiving the information agreed by the user, the data analysis system outputs the corresponding marking parameters to the laser marking machine, so that the laser marking machine can adjust the corresponding mechanism according to the marking parameters to mark the marked object.
The data analysis system, the converter and the learning device are constructed in the cloud mechanism; the cloud mechanism is connected with a plurality of laser marking machines; the cloud mechanism obtains data through each laser marking machine, and then transmits the data to the display through each device inside the cloud mechanism after being analyzed so as to display the data to a user, and the user agrees to transmit relevant marking parameters to the relevant laser marking machine so as to mark.
Further, the control parameter inputted by the user is at least one of color, brightness, color temperature, and display size or a combination thereof required for marking the target.
Further, the marking parameter is at least one of marking speed, energy or power, color, laser projection point, or a combination thereof.
A further understanding of the nature and advantages of the present invention will become apparent from the following description when read in conjunction with the accompanying drawings.
Drawings
FIG. 1 shows a system architecture diagram of the present invention;
FIG. 2 is a diagram of a system architecture including a cloud infrastructure according to the present invention;
fig. 3 shows a physical architecture diagram of the cloud organization according to the present invention.
Description of the reference numerals
10 laser marking machine
12 marking galvanometer
15 marking object
20 sliding table
30 motor
40 marking pattern
50 computer device
60 laser marking controller
70 user input device
75 converter
80 learning device
90 detection device
92 material quality judging mechanism
100 data analysis system
110 arithmetic logic unit
120 output device
130 display
200 cloud organization.
Detailed Description
With the drawings in mind, however, it is to be understood that the invention is not limited to the precise arrangements and instrumentalities shown, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Referring to fig. 1 to 3, a laser marking system capable of self-learning and adjusting parameters according to the present invention is shown, which is mainly used in the laser marking system, and comprises the following components:
a laser marking machine 10, which can emit laser beam for marking. The laser beam emitted from the laser marking machine 10 can be projected onto a marked object 15 to mark, and the marked object 15 presents a marked pattern.
A sliding table 20 on which the marked object 15 is placed. The laser marker 10 irradiates a laser beam onto the marked object 15, and forms a pattern marked by the laser beam on the marked object 15. A motor 30 is connected to the slide table 20 and is mainly used for controlling the movement of the slide table 20 in the X, Y axis direction, so that the slide table 20 can be moved to a position suitable for marking.
A computer device 50 connected to the laser marking machine 10 is used for marking the pattern of the whole marking space, receiving the marking pattern 40 inputted by the user, and planning the marking operation.
A user input device 70 connected to the computer device 50 receives the information inputted by the user, wherein the input information is used to control each parameter that needs to be adjusted when the laser marking machine 10 performs marking, and the input information refers to the parameter that can be controlled by the user, which is the input item that is easier for the user to feel, such as the required color, brightness, color temperature, and display size of the marking target.
The parameters (marking parameters) to be adjusted during marking are the marking speed, energy or power, color, laser projection point distribution, etc. different from the parameters inputted by the user.
A converter 75 is connected to the user input device 70 for converting the parameters inputted by the user into various parameters to be adjusted during marking, and transmitting the parameters to the laser marking controller 60 in the laser marking machine 10 to control the moving positions of the marking galvanometer 12, the laser marking machine 10 and the slide table 20, and to control the related mechanisms for marking.
A detecting device 90 is used to detect the marking result and transmit the detection result back to the data analysis system 100. The detecting device 90 includes a material determining mechanism 92 for determining the material of the marked object 15, which includes various methods, such as emitting different light to determine the color of the marked object, or using a mass spectrometer to receive reflected light to determine the material based on the distribution of the frequency spectrum, and so on.
A data analysis system 100 is connected to the detection device 90 for receiving the result detected by the detection device 90, and analyzing the data after each marking to find out the corresponding relationship between the user control parameter and the marking parameter. And listing the corresponding relation among the user control parameters and the marking parameters and the marked result according to the material, and memorizing the corresponding relation. The data analysis system 100 analyzes the difference between the detected result and the parameter, and provides a parameter correction to make a sample once again after the user determines the difference, or the user can make a sample after directly adjusting the parameter. These data are recorded in the data analysis system 100 to provide for autonomous learning and reference in future proofing parameter adjustments.
The data analysis system 100 further includes an arithmetic logic unit 110 for storing arithmetic logic between the input control coefficient of the user and the marking parameter, so that for each specific marked object 15, when the parameter input by the user is not equal to the parameter of the specific marked object 15, the arithmetic logic unit 110 can calculate the corresponding marking parameter according to the arithmetic logic. Thus, when the user inputs the control parameters, the data analysis system 100 can provide the corresponding marking parameters and the marking results. The data analysis system 100 further includes an output device 120, and outputs the result of the data analysis system analysis 100.
A display 130 is connected to the output device 120 for receiving the data output from the data analysis system 100 and displaying the data for the user to view.
If the user agrees with the result, the data analysis system 100 outputs the corresponding marking parameters to the laser marking machine 10, so that the laser marking machine 10 can adjust the corresponding mechanism according to the marking parameters to mark the marked object 15.
The functional elements in the present invention can be configured in different devices appropriately, so long as the network connection relationship is maintained, the same function can be achieved, and therefore, the configuration modes of these different points all belong to the scope of the present invention.
In another embodiment of the present invention, the system is the same as the above embodiment, but the system further includes a cloud mechanism 200, and the data analysis system 100, the converter 75 and the learning device 80 of the above embodiment are configured in the cloud mechanism 200. The cloud mechanism 200 is connected to a plurality of laser markers 10. The cloud mechanism 200 obtains data through each laser marking machine 10, and transmits the data to the display 130 through each device therein after being analyzed so as to be displayed on a user, and the user agrees to transmit relevant marking parameters to the relevant laser marking machine 10 for marking.
The present invention is advantageous in that the user can input the required parameters in the most familiar way, and then the system converts the parameters into the marking parameters acceptable to the laser marker 10 through the converter 75, so as to control the laser marker 10 and the slide table 20 to mark the required pattern by using the marking parameters. The user can directly operate the laser marker 10 by directly applying the learned parameters without learning to operate the laser marker 10. Furthermore, the parameters inputted by the user can directly obtain the expected result through the display 130, so that the favorite marking result can be obtained through continuous adjustment, and then the parameters are inputted into the system of the present invention to control the laser marking machine 10 to mark the required pattern or laser engraving pattern. The system of the invention can also collect a large amount of data through the network, and the whole prediction capability is strengthened through continuous learning. So that the user can operate the laser marking machine more easily and with better results.
The detailed description is specific to one possible embodiment of the invention, but the embodiment is not intended to limit the scope of the invention, and equivalent implementations or modifications without departing from the technical spirit of the invention should be included in the scope of the invention.
Claims (10)
1. A laser marking system capable of learning adjustment parameters independently, which is used for learning adjustment parameters independently of a laser marking machine, and is characterized in that the laser marking system comprises:
at least one laser marking machine capable of emitting laser beam for marking; the laser beam emitted by the laser marking machine can be projected to a marking object for marking; a sliding table on which the marked object is arranged; the laser marking machine can irradiate a laser beam on the marked object; the motor is connected with the sliding table and used for controlling the sliding table to move in the direction of the X, Y axis and moving the sliding table to a position suitable for marking; a computer device connected with the laser marking machine and used for marking the graph of the whole marking space, receiving the marking graph input by a user and planning the marking operation;
a user input device connected with the computer device for receiving the information input by the user, wherein the input information is used for controlling each parameter to be adjusted when the laser marking machine marks, and the input information refers to the input items which are easy to understand and the parameters which are easy to set by the user;
and the converter is connected with the user input device and is used for converting parameters input by a user into various parameters required to be adjusted during marking, and transmitting the parameters to the laser marking control machine in the laser marking machine so as to control the moving positions of the marking galvanometer, the laser marking machine and the sliding table and control related mechanisms to mark.
2. The laser marking system with self-learning parameter adjustment of claim 1, further comprising a detection device for detecting the marking result and transmitting the detection result back to the data analysis system.
3. The laser marking system with self-learning adjustment of parameters as claimed in claim 2, wherein the detecting device comprises a material determining mechanism for determining the material of the marked object by emitting different light to determine the color of the marked object or by using a mass spectrometer to receive the reflected light and determine the material from the distribution of the spectrum.
4. The laser marking system capable of learning and adjusting parameters independently as claimed in claim 1, further comprising a data analysis system for analyzing the data after each marking to find the corresponding relationship between the user control parameters and the marking parameters; listing the corresponding relation between the user control parameters and the marking parameters and the marked result according to the material and memorizing;
the data analysis system also comprises an arithmetic logic device for storing the arithmetic logic between the input control coefficient of the user and the marking parameters, so that for each specific marking object, when the parameters of the user are not suitable for the parameters of the specific marking object, the arithmetic logic device can calculate the corresponding marking parameters according to the corresponding arithmetic logic;
the data analysis system also comprises an output device and outputs the result analyzed by the data analysis system.
5. The laser marking system capable of learning parameters automatically as claimed in claim 3, further comprising a data analysis system connected to the detection device for receiving the detection result from the detection device and analyzing the data after each marking to find out the corresponding relationship between the user control parameters and the marking parameters; listing the corresponding relation between the user control parameters and the marking parameters and the marked result according to the material and memorizing; the data analysis system analyzes the difference between the detected result and the parameter, provides the correction of the parameter, and makes the user perform proofing again after determining the difference, and the user can also perform proofing after directly adjusting the parameter; these data are recorded in a data analysis system to provide autonomous learning and reference for later proofing parameter adjustment.
6. The laser marking system with self-learning adjustable parameters as claimed in claim 4, further comprising a display connected to the output device for receiving the data from the data analysis system and displaying the data for viewing by a user.
7. The laser marking system capable of autonomously learning adjustment parameters according to claim 4 or 5, wherein the data analysis system outputs the corresponding marking parameters to the laser marking machine when receiving a message agreed by a user, so that the laser marking machine can adjust the corresponding mechanism according to the marking parameters to mark the marked object.
8. The laser marking system with self-learning adjustable parameters as claimed in claim 6, further comprising a cloud mechanism, wherein the data analysis system, the converter and the learning device are configured in the cloud mechanism; the cloud mechanism is connected with a plurality of laser marking machines; the cloud mechanism obtains data through each laser marking machine, and then transmits the data to the display through each device inside the cloud mechanism after being analyzed so as to display the data to a user, and the user agrees to transmit relevant marking parameters to the relevant laser marking machine so as to mark.
9. The laser marking system with self-learning adjustable parameters of claim 1, wherein the user-input control parameters are at least one of color, brightness, color temperature, display size or a combination thereof required for marking the target.
10. The laser marking system with self-learning adjustment parameters of claim 1, wherein the marking parameters are at least one of marking speed, energy or power, color, laser projection point, or a combination thereof.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN202010408348.XA CN113664377A (en) | 2020-05-14 | 2020-05-14 | Laser marking system capable of self-learning and adjusting parameters |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202010408348.XA CN113664377A (en) | 2020-05-14 | 2020-05-14 | Laser marking system capable of self-learning and adjusting parameters |
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| CN205853657U (en) * | 2016-05-27 | 2017-01-04 | 兴诚科技股份有限公司 | Laser marking controller |
| CN106886950A (en) * | 2017-01-24 | 2017-06-23 | 国家电网公司 | A kind of method that dispatching of power netwoks instruction is automatically generated |
| CN107009029A (en) * | 2017-06-08 | 2017-08-04 | 杭州电子科技大学 | Broaching tool cutter tooth cross-scale surface pattern intelligence preparation method and device |
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2020
- 2020-05-14 CN CN202010408348.XA patent/CN113664377A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2014069223A (en) * | 2012-09-28 | 2014-04-21 | Kyocera Document Solutions Inc | Program generation method and information processing device |
| CN105760904A (en) * | 2016-03-18 | 2016-07-13 | 上海矽感科技有限公司 | GM code marking generation control method compatible with all laser marking machines |
| CN205853657U (en) * | 2016-05-27 | 2017-01-04 | 兴诚科技股份有限公司 | Laser marking controller |
| CN106886950A (en) * | 2017-01-24 | 2017-06-23 | 国家电网公司 | A kind of method that dispatching of power netwoks instruction is automatically generated |
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