CN109954983A - Automatic cutting method - Google Patents

Automatic cutting method Download PDF

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Publication number
CN109954983A
CN109954983A CN201711421437.2A CN201711421437A CN109954983A CN 109954983 A CN109954983 A CN 109954983A CN 201711421437 A CN201711421437 A CN 201711421437A CN 109954983 A CN109954983 A CN 109954983A
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CN
China
Prior art keywords
coordinate
cut
product
cutting
industrial camera
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201711421437.2A
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Chinese (zh)
Inventor
黄维香
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Guangzhou Zhixin Technology Co Ltd
Original Assignee
Guangzhou Zhixin Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Guangzhou Zhixin Technology Co Ltd filed Critical Guangzhou Zhixin Technology Co Ltd
Priority to CN201711421437.2A priority Critical patent/CN109954983A/en
Publication of CN109954983A publication Critical patent/CN109954983A/en
Pending legal-status Critical Current

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Classifications

    • BPERFORMING OPERATIONS; TRANSPORTING
    • B23MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
    • B23KSOLDERING OR UNSOLDERING; WELDING; CLADDING OR PLATING BY SOLDERING OR WELDING; CUTTING BY APPLYING HEAT LOCALLY, e.g. FLAME CUTTING; WORKING BY LASER BEAM
    • B23K26/00Working by laser beam, e.g. welding, cutting or boring
    • B23K26/02Positioning or observing the workpiece, e.g. with respect to the point of impact; Aligning, aiming or focusing the laser beam
    • B23K26/03Observing, e.g. monitoring, the workpiece
    • B23K26/032Observing, e.g. monitoring, the workpiece using optical means
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B23MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
    • B23KSOLDERING OR UNSOLDERING; WELDING; CLADDING OR PLATING BY SOLDERING OR WELDING; CUTTING BY APPLYING HEAT LOCALLY, e.g. FLAME CUTTING; WORKING BY LASER BEAM
    • B23K26/00Working by laser beam, e.g. welding, cutting or boring
    • B23K26/08Devices involving relative movement between laser beam and workpiece
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B23MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
    • B23KSOLDERING OR UNSOLDERING; WELDING; CLADDING OR PLATING BY SOLDERING OR WELDING; CUTTING BY APPLYING HEAT LOCALLY, e.g. FLAME CUTTING; WORKING BY LASER BEAM
    • B23K26/00Working by laser beam, e.g. welding, cutting or boring
    • B23K26/36Removing material
    • B23K26/38Removing material by boring or cutting

Abstract

The invention discloses a kind of automatic cutting methods, comprising: when product to be cut is moved to vision-based detection region, treats cutting products by industrial camera and takes pictures, obtain the image information of product to be cut;The cutting pattern of vision algorithm Program extraction product to be cut, and spline curve fitting is carried out to the contour edge information of cutting pattern, form smoothed curve profile information;Product to be cut is moved to cutting region, hand and eye calibrating is carried out by the relationship of industrial camera image pixel coordinates and laser end, the smoothed curve profile coordinate is converted to the motion profile coordinate of laser end;Vision industrial personal computer is according to the motion profile coordinate of laser end, and driving laser is along motion profile operation.Automatic cutting method versatility of the invention is extremely strong, and obtains image automatically by industrial camera, and by the running track of coordinate conversion acquisition laser end, and when cutting can compensate for improving the precision of cutting due to tooling and product itself bring error.

Description

Automatic cutting method
Technical field
The present invention relates to automation fields, more particularly, to a kind of automatic cutting method.
Background technique
Traditional cutting method is executed by the motion profile that motion control program is pre-set, processed Product needs fixed fixture and is fixed, and when cutting cannot compensate the mistake due to tooling bring error and product itself Difference, it is generally not high so as to cause the precision of cutting, and can be different due to product, it carries out rewriting motor program Specific fixture is processed with design, versatility is not strong.
Summary of the invention
Based on this, the invention reside in overcoming the prior art that particular jig is needed to treat cutting products to be fixed, and cut Precision is not high, and the not strong defect of versatility provides a kind of automatic cutting method.
Its technical solution is as follows:
A kind of automatic cutting method, comprising:
Product to be cut is placed in conveyer belt, when product to be cut is moved to vision-based detection region, by industrial camera to be cut It cuts product to take pictures, obtains the image information of product to be cut;
Described image information is transmitted to vision industrial personal computer, is handled by vision algorithm program;
The cutting pattern of vision algorithm Program extraction product to be cut, and it is bent to carry out batten to the contour edge information of cutting pattern Line fitting, forms smoothed curve profile information;
Product to be cut is moved to cutting region by conveyer belt, passes through industrial camera image pixel coordinates and laser end Relationship carry out hand and eye calibrating, the smoothed curve profile coordinate is converted to the motion profile coordinate of laser end;
Vision industrial personal computer is according to the motion profile coordinate of laser end, and driving laser is along motion profile operation, completion cutting.
The technical program obtains the image information of product to be cut by industrial camera, and pattern will be cut on industrial camera Profile and the coordinate of laser end be associated, the profile coordinate for cutting pattern can be converted to the fortune of laser end Trajectory coordinates are moved, the cutting pattern-information that the motion control program on vision industrial personal computer is given to by visual program directly drives sharp It is cut along motion profile operation light device end.In addition, since industrial camera is taken pictures the cutting pattern contour side directly acquired The information of edge be it is rough, influence laser end cutting precision, thus to cutting pattern contour edge information carry out Spline curve fitting forms smoothed curve profile information, improves cutting accuracy.The technical program does not need specific fixture and comes in fact The positioning of existing product to be cut, without writing motion control program in advance, more without the difference because of product to be cut Different fixture and motion control program are changed, versatility is extremely strong;And the technical program obtains image by industrial camera automatically, And the running track for obtaining laser end is converted by coordinate, when cutting, can compensate for due to tooling bring error and product The error of itself improves the precision of cutting.
The spline curve fitting is fitted using Quadric spline curve in one of the embodiments,.
Specific step is as follows for the Quadric spline curve fitting in one of the embodiments:
Determine Quadric spline curve fitting formula: D(x)=Ax+Bx+Cx (0≤x≤1);
Obtain three point D in the contour edge of cutting pattern1、D2、D3Coordinate, wherein D1For the starting point of the contour edge, D3 For the terminal of the contour edge, as x=0.5, the contour edge crosses D2Point, and tangent vector is D3-D1;Pass through D1、D2、D3 It determines the value of A, B, C, completes Quadric spline curve fitting.
Specific step is as follows for the hand and eye calibrating method in one of the embodiments:
Scaling board is placed in vision-based detection region, is taken pictures by industrial camera to scaling board, is obtained on scaling board image Each angle point pixel coordinate (u, v);
Scaling board is moved to laser end by conveyer belt, and by demarcating manually, each angle point obtained on scaling board is swashing The coordinate (x, y) of light device end;
Calculate scaling board image pixel coordinate to laser end coordinate transformation matrices R it is as follows
R=(u, v, 1)-1(x, y, 1);
Turn of the image pixel coordinates and laser end running track coordinate in industrial camera is completed by the transformation matrices R It changes.
In one of the embodiments, the industrial camera by sensor sensing to product to be cut in place after, treat Cutting products are taken pictures.
The sensor is optoelectronic switch in one of the embodiments,.
While the industrial camera is taken pictures in one of the embodiments, order control light source controller is sent It treats cutting products and carries out polishing.
The polishing time of the light source controller and polishing frequency and the industrial camera in one of the embodiments, Photo opporunity and frequency matching of taking pictures.
Soft limit is carried out to the motion profile of laser end in one of the embodiments, laser end is set The threshold value of motion profile in all directions.
The position where the coordinate points of the threshold value is no more than the plane model of cutting region in one of the embodiments, It encloses.
Specific embodiment
To make the objectives, technical solutions, and advantages of the present invention more comprehensible, below in conjunction with specific embodiment, to this Invention is described in further detail.It should be understood that the specific embodiments described herein are only to explain this hair It is bright, and the scope of protection of the present invention is not limited.
A kind of automatic cutting method, comprising:
Product to be cut is placed in conveyer belt, when product to be cut is moved to vision-based detection region, by industrial camera to be cut It cuts product to take pictures, obtains the image information of product to be cut;
Described image information is transmitted to vision industrial personal computer, is handled by vision algorithm program;
The cutting pattern of vision algorithm Program extraction product to be cut, and it is bent to carry out batten to the contour edge information of cutting pattern Line fitting, forms smoothed curve profile information;
Product to be cut is moved to cutting region by conveyer belt, passes through industrial camera image pixel coordinates and laser end Relationship carry out hand and eye calibrating, the smoothed curve profile coordinate is converted to the motion profile coordinate of laser end;
Vision industrial personal computer is according to the motion profile coordinate of laser end, and driving laser is along motion profile operation, completion cutting.
Present embodiment obtains the image information of product to be cut by industrial camera, and pattern will be cut on industrial camera Profile and the coordinate of laser end be associated, the profile coordinate for cutting pattern can be converted to the fortune of laser end Trajectory coordinates are moved, the cutting pattern-information that the motion control program on vision industrial personal computer is given to by visual program directly drives sharp It is cut along motion profile operation light device end.In addition, since industrial camera is taken pictures the cutting pattern contour side directly acquired The information of edge be it is rough, influence laser end cutting precision, thus to cutting pattern contour edge information carry out Spline curve fitting forms smoothed curve profile information, improves cutting accuracy.Present embodiment does not need specific fixture and comes in fact The positioning of existing product to be cut, without writing motion control program in advance, more without the difference because of product to be cut Different fixture and motion control program are changed, versatility is extremely strong;And present embodiment obtains image by industrial camera automatically, And the running track for obtaining laser end is converted by coordinate, when cutting, can compensate for due to tooling bring error and product The error of itself improves the precision of cutting.
The spline curve fitting includes the batten of Quadric spline curve fitting, cubic spline interpolation or other forms Curve matching, present embodiment are fitted using Quadric spline curve, and fitting is not difficult, and can satisfy the need of present embodiment It asks.
Specific step is as follows for the Quadric spline curve fitting:
Determine Quadric spline curve fitting formula: D(x)=Ax+Bx+Cx (0≤x≤1);
Obtain three point D in the contour edge of cutting pattern1、D2、D3Coordinate, wherein D1For the starting point of the contour edge, D3 For the terminal of the contour edge, as x=0.5, the contour edge crosses D2Point, and tangent vector is D3-D1;Pass through D1、D2、D3 It determines the value of A, B, C, completes Quadric spline curve fitting.
Specific step is as follows for hand and eye calibrating method described in present embodiment:
Scaling board is placed in vision-based detection region, is taken pictures by industrial camera to scaling board, is obtained on scaling board image Each angle point pixel coordinate (u, v);
Scaling board is moved to laser end by conveyer belt, and by demarcating manually, each angle point obtained on scaling board is swashing The coordinate (x, y) of light device end;
Calculate scaling board image pixel coordinate to laser end coordinate transformation matrices R it is as follows
R=(u, v, 1)-1(x, y, 1);
Present embodiment obtains the pixel coordinate and corresponding laser of the no less than image of three points by scaling board respectively Ending coordinates obtain the value of transformation matrices R;For example, present embodiment uses three points, ((u1, v1), (u2, v2), (u3, v3);Swash Coordinate (the x of light device end1,y1), (x2,y2), (x3,y3).
The image pixel coordinates and laser end running track coordinate in industrial camera are completed by the transformation matrices R Conversion, i.e. (x, y, 1)=(u, v, 1) R.
It is described in order to guarantee precision that industrial camera is taken pictures since product to be cut is placed on conveyer belt in motion state Industrial camera by sensor sensing to product to be cut be moved to vision-based detection region and completely in place after, treat cutting products It takes pictures.Sensor described in present embodiment is optoelectronic switch.
In addition, in order to guarantee the stability of image that industrial camera takes, and avoid industrial camera by ambient Interference while the industrial camera is taken pictures, sends order control light source controller and treats cutting products progress polishing, have Help industrial camera and obtains more characteristics of image.
The photo opporunity and frequency of taking pictures of the polishing time of the light source controller and polishing frequency and the industrial camera Matching guarantees that industrial camera obtains the stability of image.
Soft limit is carried out to the motion profile of laser end, the motion profile of laser end is set in all directions Threshold value.Position where the coordinate points of threshold value described in present embodiment is no more than the planar range of cutting region.That is laser end The motion profile at end will be limited within the scope of cutting region, prevent from causing laser because of accident or parts thereof failure End is cut outside cutting region, ensure that the personal safety of staff.
Each technical characteristic of embodiment described above can be combined arbitrarily, for simplicity of description, not to above-mentioned reality It applies all possible combination of each technical characteristic in example to be all described, as long as however, the combination of these technical characteristics is not deposited In contradiction, all should be considered as described in this specification.
The embodiments described above only express several embodiments of the present invention, and the description thereof is more specific and detailed, but simultaneously It cannot therefore be construed as limiting the scope of the patent.It should be pointed out that coming for those of ordinary skill in the art It says, without departing from the inventive concept of the premise, various modifications and improvements can be made, these belong to protection of the invention Range.Therefore, the scope of protection of the patent of the invention shall be subject to the appended claims.

Claims (10)

1. a kind of automatic cutting method characterized by comprising
Product to be cut is placed in conveyer belt, when product to be cut is moved to vision-based detection region, by industrial camera to be cut It cuts product to take pictures, obtains the image information of product to be cut;
Described image information is transmitted to vision industrial personal computer, is handled by vision algorithm program;
The cutting pattern of vision algorithm Program extraction product to be cut, and it is bent to carry out batten to the contour edge information of cutting pattern Line fitting, forms smoothed curve profile information;
Product to be cut is moved to cutting region by conveyer belt, passes through industrial camera image pixel coordinates and laser end Relationship carry out hand and eye calibrating, the smoothed curve profile coordinate is converted to the motion profile coordinate of laser end;
Vision industrial personal computer is according to the motion profile coordinate of laser end, and driving laser is along motion profile operation, completion cutting.
2. automatic cutting method according to claim 1, which is characterized in that the spline curve fitting uses quadratic spline Curve matching.
3. automatic cutting method according to claim 2, which is characterized in that the specific step of the Quadric spline curve fitting It is rapid as follows:
Determine Quadric spline curve fitting formula: D(x)=Ax+Bx+Cx (0≤x≤1);
Obtain three point D in the contour edge of cutting pattern1、D2、D3Coordinate, wherein D1For the starting point of the contour edge, D3 For the terminal of the contour edge, as x=0.5, the contour edge crosses D2Point, and tangent vector is D3-D1;Pass through D1、D2、D3 It determines the value of A, B, C, completes Quadric spline curve fitting.
4. automatic cutting method according to claim 1, which is characterized in that the specific steps of the hand and eye calibrating method are such as Under:
Scaling board is placed in vision-based detection region, is taken pictures by industrial camera to scaling board, is obtained on scaling board image Each angle point pixel coordinate (u, v);
Scaling board is moved to laser end by conveyer belt, and by demarcating manually, each angle point obtained on scaling board is swashing The coordinate (x, y) of light device end;
Calculate scaling board image pixel coordinate to laser end coordinate transformation matrices R it is as follows
R=(u, v, 1)-1(x, y, 1);
Turn of the image pixel coordinates and laser end running track coordinate in industrial camera is completed by the transformation matrices R It changes.
5. automatic cutting method according to claim 1, which is characterized in that the industrial camera is arrived by sensor sensing Product to be cut in place after, treat cutting products and take pictures.
6. automatic cutting method according to claim 5, which is characterized in that the sensor is optoelectronic switch.
7. automatic cutting method according to claim 1, which is characterized in that while the industrial camera is taken pictures, It sends order control light source controller and treats cutting products progress polishing.
8. automatic cutting method according to claim 7, which is characterized in that the polishing time of the light source controller and beat Light frequency is matched with the photo opporunity of the industrial camera and frequency of taking pictures.
9. automatic cutting method according to claim 1-8, which is characterized in that the movement rail of laser end Mark carries out soft limit, and the threshold value of the motion profile of laser end in all directions is arranged.
10. automatic cutting method according to claim 9, which is characterized in that the position where the coordinate points of the threshold value No more than the planar range of cutting region.
CN201711421437.2A 2017-12-25 2017-12-25 Automatic cutting method Pending CN109954983A (en)

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Application Number Priority Date Filing Date Title
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Application Number Priority Date Filing Date Title
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Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110323183A (en) * 2019-08-01 2019-10-11 沛顿科技(深圳)有限公司 A method of 3D NAND wafer thin slice sliver is solved the problems, such as using laser ring cutting
CN111583327A (en) * 2020-04-27 2020-08-25 深圳市鑫三力自动化设备有限公司 Method suitable for evaluating bending stress of panel
CN112381888A (en) * 2020-11-19 2021-02-19 上海方菱计算机软件有限公司 Dynamic compensation method for H-shaped steel cutting path
CN113146073A (en) * 2021-06-24 2021-07-23 浙江华睿科技有限公司 Vision-based laser cutting method and device, electronic equipment and storage medium
CN113751890A (en) * 2020-06-03 2021-12-07 上海发那科机器人有限公司 Robot curved surface track cutting method and system based on laser displacement sensor
CN114302559A (en) * 2021-11-17 2022-04-08 南京晟通信息技术有限公司 Method for realizing PCB (printed circuit board) sub-program track drawing based on Net program set
CN114986621A (en) * 2022-05-07 2022-09-02 深圳市雨滴科技有限公司 Automatic plate cutting machine and cutting method thereof
CN114985957A (en) * 2022-04-14 2022-09-02 武汉华工激光工程有限责任公司 Diaphragm laser cutting method and automatic filling and sealing production line
CN116051587A (en) * 2023-02-13 2023-05-02 中国矿业大学 Motion trail generation method for target detection

Cited By (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110323183A (en) * 2019-08-01 2019-10-11 沛顿科技(深圳)有限公司 A method of 3D NAND wafer thin slice sliver is solved the problems, such as using laser ring cutting
CN111583327B (en) * 2020-04-27 2023-04-11 深圳市鑫三力自动化设备有限公司 Method suitable for evaluating bending stress of panel
CN111583327A (en) * 2020-04-27 2020-08-25 深圳市鑫三力自动化设备有限公司 Method suitable for evaluating bending stress of panel
CN113751890A (en) * 2020-06-03 2021-12-07 上海发那科机器人有限公司 Robot curved surface track cutting method and system based on laser displacement sensor
CN113751890B (en) * 2020-06-03 2024-01-23 上海发那科机器人有限公司 Robot curved surface track cutting method and cutting system based on laser displacement sensor
CN112381888A (en) * 2020-11-19 2021-02-19 上海方菱计算机软件有限公司 Dynamic compensation method for H-shaped steel cutting path
CN113146073A (en) * 2021-06-24 2021-07-23 浙江华睿科技有限公司 Vision-based laser cutting method and device, electronic equipment and storage medium
CN114302559A (en) * 2021-11-17 2022-04-08 南京晟通信息技术有限公司 Method for realizing PCB (printed circuit board) sub-program track drawing based on Net program set
CN114985957A (en) * 2022-04-14 2022-09-02 武汉华工激光工程有限责任公司 Diaphragm laser cutting method and automatic filling and sealing production line
CN114986621B (en) * 2022-05-07 2023-02-24 深圳市雨滴科技有限公司 Automatic plate cutting machine and cutting method thereof
CN114986621A (en) * 2022-05-07 2022-09-02 深圳市雨滴科技有限公司 Automatic plate cutting machine and cutting method thereof
CN116051587A (en) * 2023-02-13 2023-05-02 中国矿业大学 Motion trail generation method for target detection
CN116051587B (en) * 2023-02-13 2023-08-11 中国矿业大学 Motion trail generation method for target detection

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