CN114280083B - Detection method for realizing industrial X-ray nondestructive detection of large-size flat castings based on automatic CNC programming of linear array camera - Google Patents
Detection method for realizing industrial X-ray nondestructive detection of large-size flat castings based on automatic CNC programming of linear array camera Download PDFInfo
- Publication number
- CN114280083B CN114280083B CN202111542815.9A CN202111542815A CN114280083B CN 114280083 B CN114280083 B CN 114280083B CN 202111542815 A CN202111542815 A CN 202111542815A CN 114280083 B CN114280083 B CN 114280083B
- Authority
- CN
- China
- Prior art keywords
- ray
- linear array
- detection
- array camera
- size flat
- 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.)
- Active
Links
- 238000001514 detection method Methods 0.000 title claims abstract description 109
- 238000005266 casting Methods 0.000 title claims abstract description 78
- 238000000034 method Methods 0.000 claims abstract description 11
- 238000003384 imaging method Methods 0.000 claims description 9
- 238000006243 chemical reaction Methods 0.000 claims description 7
- 230000007547 defect Effects 0.000 claims description 4
- 230000000007 visual effect Effects 0.000 claims description 4
- 238000013507 mapping Methods 0.000 claims description 3
- 230000002194 synthesizing effect Effects 0.000 claims description 2
- 230000008569 process Effects 0.000 abstract description 5
- 238000009659 non-destructive testing Methods 0.000 abstract description 3
- 230000007246 mechanism Effects 0.000 description 4
- 230000009471 action Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 238000003908 quality control method Methods 0.000 description 1
- 238000011144 upstream manufacturing Methods 0.000 description 1
Abstract
The invention discloses a detection method for realizing industrial X-ray nondestructive detection of large-size flat castings based on automatic CNC programming of a linear array camera, which is characterized in that the high-speed refreshing and continuous shooting characteristics of the linear array camera are utilized, the problem that the original CNC detection mode of the large-size flat castings in the industrial X-ray nondestructive detection process is low in efficiency is solved, continuous complete surface pictures of the detected large-size flat castings are shot through the linear array camera, the complete surface pictures of the castings are sent to an image processing unit of the linear array camera, the image processing unit of the linear array camera automatically calculates and CNC programs, and a motion control unit receives CNC programs and controls an X-ray detection platform and X-ray acquisition equipment to shoot X-ray pictures and sends the X-ray pictures to an image processing unit. The invention omits the complex operation and long time consumption of CNC programming by operators, can automatically and rapidly finish the industrial X-ray nondestructive testing of large-size flat castings without manual intervention, and greatly improves the detection efficiency.
Description
Technical Field
The invention relates to the technical field of X-ray detection, in particular to a detection method for realizing industrial X-ray nondestructive detection of large-size flat castings based on automatic CNC programming of a linear array camera.
Background
The industrial X-ray nondestructive detection is used for detecting that industrial castings are increasingly accepted by casting factories and upstream and downstream clients, and is an efficient method for improving product quality and perfecting quality control. The industrial X-ray nondestructive detection mainly uses the special penetrability of X-rays, an operator controls an X-ray detection mechanism to move and irradiate different parts of the casting on the premise of not damaging the casting, a perspective X-ray image of the casting is obtained, and finally whether the casting has internal quality defects is judged according to the X-ray image.
With the improvement of the product yield, the nondestructive detection method by controlling the motion of the X-ray detection mechanism by an operator greatly limits the detection efficiency. Later, CNC programming is utilized to detect the position, and the motion control unit controls the X-ray detection mechanism to move and acquire X-ray images, so that the detection efficiency of detecting castings with the same model or model in batches is improved to a certain extent.
CNC programmed X-ray nondestructive testing methods require programming a dedicated CNC program in advance for different shaped castings. The operator is required to control the X-ray detection mechanism to move to the detection position, record the detection position, and repeat the operation to complete CNC programming. As the number of casting models or models increases, a great deal of personnel and time are required to compile different CNC programs; the larger the casting size, the longer it takes to program a dedicated CNC program. For large-size flat castings, the time required for one manual CNC programming is even more up to tens of minutes.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides the detection method for realizing industrial X-ray nondestructive detection of the large-size flat casting based on the automatic CNC programming of the linear array camera, which greatly improves the detection efficiency of the large-size flat casting.
In order to achieve the above purpose, the present invention adopts the following technical scheme:
a detection method for realizing industrial X-ray nondestructive detection of large-size flat castings based on automatic CNC programming of a linear array camera is characterized by comprising the following steps: adopts a detection system consisting of a linear array camera, a linear array camera image processing unit, a motion control unit, an X-ray acquisition device, an X-ray detection platform and an X-ray image processing unit,
comprises the steps of,
s1, placing a detected large-size flat casting on an industrial X-ray detection platform, and enabling a motion control unit to start to control a linear array camera to move from one side of the detected large-size flat casting to the other side of the detected large-size flat casting according to a preset direction;
s2, synchronously starting to shoot continuous complete surface pictures of the detected large-size flat casting by using the linear array camera;
s3, transmitting the shot pictures to an image processing unit of the linear array camera by the linear array camera, and synthesizing continuous complete surface pictures of the complete large-size flat casting;
s4, the linear camera image processing unit calculates the minimum detection grid of the single detection view according to the coordinate parameter information received from the motion control unit;
s5, automatically identifying all detection areas of the detected large-size flat castings in the complete surface picture by the linear array camera image processing unit, and dividing detection grids on the complete surface picture of the large-size flat castings, wherein each grid corresponds to the position of an X-ray image detection visual field;
s6, the linear array camera image processing unit automatically performs CNC programming according to the divided detection grids, and sends the generated CNC program to the motion control unit;
s7, after the motion control unit receives the CNC program, controlling the X-ray detection platform to move, and informing the X-ray acquisition equipment to capture an X-ray image;
s8, the X-ray acquisition equipment sends the shot X-ray image to an X-ray image processing unit in real time; and an X-ray detection image is displayed on the image processing unit, so that an operator can judge whether the casting has quality defects or not, and detection is completed.
Further, the procedure produced through steps S1-S6 may be directly invoked when repeated inspection of batches of the same model is performed.
Further, in step S5, all the detection grids to be inspected are selected manually, and the linear camera image processing unit automatically performs CNC programming according to the selection result, and sends the programmed program to the motion control unit.
Further, the X-ray detection platform comprises a C-shaped arm used for setting X-ray acquisition equipment, a lifting slide rail used for controlling the C-shaped arm, and a horizontal slide rail used for bearing a workpiece, wherein the symmetrical middle part of the C-shaped arm is arranged on the lifting slide rail, the horizontal slide rail is arranged along the symmetrical central line of the C-shaped arm, and a turntable is arranged on the horizontal slide rail.
Further, the X-ray acquisition equipment comprises an X-ray source generator arranged at one end of the C-shaped arm and a flat panel detector arranged at the other end of the C-shaped arm, the X-ray source generator and the flat panel detector are opposite to each other, and the linear array camera and the X-ray source generator are coaxially arranged in an up-down overlapping mode.
Further, the automatic programming conversion algorithm of step S6 proceeds as follows,
(1) measuring and obtaining the distance from the surface side of the workpiece to the front end surface of an X-ray generator or a linear array camera in X-ray acquisition equipment, and recording the distance as an object distance f; the linear array camera moves at a constant speed in the vertical direction to scan and pick up a large-size flat casting surface picture, and the pixel sizes of the picture are px and py; the focal length of the X-ray acquisition device is known as F;
(2) calculating the side length (mm) of the large-size flat casting surface area corresponding to the effective acquisition imaging field of the X-ray acquisition equipment under the current object distance condition, and recording as the horizontal length L x And vertical length L y ：
Wherein: r is the proportion of the tower joint area required by X-ray multi-image detection; l (L) 0x And l 0y The horizontal and vertical dimensions (mm) of the sensor of the X-ray acquisition device, respectively;
L x 、L y namely, large-size leveling corresponding to a single detection grid in CNC programmingActual side length (mm) of the casting single detection area;
(3) the known effective (maximum) scanning imaging view angle alpha of the linear array camera is determined by a linear array camera sensor and parameters, and once the parameters of the linear array camera sensor are fixed, the angle alpha is a known fixed value; the side length (mm) of the effective scanning imaging window of the linear array camera is recorded as the horizontal length l 1x And vertical length l 1y (Linear array camera vertical travel distance l) 1y The size of the large-size flat casting surface picture shot by the linear array camera is known as p x 、p y The method comprises the steps of carrying out a first treatment on the surface of the Calculating a pixel-to-length (mm) conversion coefficient gamma x And gamma y ：
(4) Calculating the pixel size G of the minimum unit grid marked on the large-size flat casting picture obtained by scanning the linear array camera x 、G y ：
G x ＝L x ×γ x
G y ＝L y ×γ y
(5) The upper left corner of the large-size flat casting surface picture shot by the linear array camera is taken as the origin (0, 0) of a pixel coordinate system, and the middle pixel coordinate (x org ，y org ) The motion coordinate system origin corresponds to the actual detection platform; center point pixel coordinates (x) of a single grid on a large-size flat casting surface picture i ，y i ) Relative to the origin pixel coordinates (x org ，y org ) The offset of the X-ray detection platform in the actual motion coordinate system; according to the mapping relation between the pixel coordinate system and the actual motion coordinate system, calculating motor motion parameters of the motion position of a single CNC point in CNC programming(horizontal direction motion parameter D) x(i) And the motion parameter D in the vertical direction y(i) )：
Wherein k is x Is the conversion factor k of the motor moving in the horizontal direction y Is a conversion factor of the vertical direction motion motor;
(6) when CNC programming is performed to detect all grids, CNC programming is automatically generated in sequence, and the motor motion parameters D of the next adjacent grid are rapidly calculated according to the actual field size of the grids x(i+1) And D y(i+1) ：
D x(i+1) ＝D x(i) +L x ×k x
D y(i+1) ＝D y(i) +L y ×k y
The beneficial effects of the invention include: the complex operation and long time consumption of CNC programming by operators are omitted, industrial X-ray nondestructive testing of large-size flat castings can be automatically and rapidly completed without manual intervention, and the detection efficiency is greatly improved.
Drawings
FIG. 1 is a flow chart of the present invention;
FIG. 2 is a block diagram of the system architecture of the present invention;
fig. 3 is a schematic structural view of a detection apparatus according to an embodiment of the present invention.
Detailed Description
The invention will be described in further detail with reference to specific embodiments and drawings.
The invention discloses a detection method for realizing industrial X-ray nondestructive detection of large-size flat castings based on automatic CNC programming of a linear array camera, which is shown in figures 1-3.
The linear array camera is a CCD or CMOS sensor camera which is formed by linearly arranging a single row or a plurality of rows, has the characteristics of continuously shooting an ultra-long object, high scanning frequency and high resolution, and can shoot continuous complete surface pictures of an ultra-large object.
The machine vision technology is that a machine vision product (namely an image pickup device, which is divided into CMOS, CCD and the like) is used for capturing a target image, the image is transmitted to a processing unit, the image is digitally analyzed and processed, the size, the shape, the color and the like are judged through pixel distribution, brightness conversion and the like, and then the action of a field device is controlled according to a judging result.
The CNC programming is to combine the computer with the numerical control directly, complete the numerical calculation by the computer, send out the control command directly to participate in the control process, compile and save a series of point location coordinates to form the CNC program. By executing the programmed CNC program, the position can be accurately and rapidly moved, and the control efficiency is improved.
The X-ray detection system structure of the invention is formed by connecting a linear array camera, a linear array camera image processing unit, a motion control unit, X-ray acquisition equipment, an X-ray detection platform (comprising a C-shaped arm) and an X-ray image processing unit.
The X-ray detection platform comprises a C-shaped arm used for setting X-ray acquisition equipment, a lifting slide rail used for controlling the C-shaped arm, and a horizontal slide rail used for bearing a workpiece, wherein the symmetrical middle part of the C-shaped arm is arranged on the lifting slide rail, the horizontal slide rail is arranged along the symmetrical central line of the C-shaped arm, and a turntable is arranged on the horizontal slide rail.
The X-ray acquisition equipment comprises an X-ray source generator arranged at one end of the C-shaped arm and a flat panel detector arranged at the other end of the C-shaped arm, and the X-ray source generator and the flat panel detector are opposite to each other. The preferred embodiment of the present invention is as shown in fig. 3: the linear array camera 1 and an X-ray source generator of the X-ray acquisition equipment 2 are coaxially and fixedly arranged in an up-down overlapping manner and are opposite to a flat panel detector of the X-ray acquisition equipment 2; the X-ray acquisition equipment is integrally fixed on the vertical movement detection C-shaped arm 3; the large-size flat casting to be inspected is placed on the central X-ray detection platform 4.
After the detection starts, the X-ray detection platform moves at a constant speed from top to bottom under the control of the motion control unit instruction; meanwhile, the linear array camera starts to work, a complete surface image of the large-size flat casting to be detected in the center of the X-ray detection platform is shot, and the shot image is sent to the linear array camera image processing unit;
the linear array camera image processing unit receives the motion parameters and the X-ray detection platform coordinate information transmitted by the picture and motion control unit; the linear array camera image processing unit automatically identifies the surface area of the detected large-size flat casting from the picture, automatically calculates the detection grid of the minimum detection view field of the X-ray acquisition equipment according to the motion parameters and the coordinate information, and marks and displays all the detection grids on the complete surface image of the large-size flat casting; the linear array camera image processing unit generates CNC programs according to automatic CNC programming of the detection grids;
the linear array camera image processing unit sends the CNC program to the motion control unit, and the motion control unit controls the X-ray detection platform to move and the X-ray acquisition equipment to capture an X-ray image according to the motion parameters recorded by the CNC program; the X-ray acquisition equipment transmits the X-ray image to the X-ray image processing unit, and an operator checks and judges the detection result of the X-ray image.
In an intelligent automatic mode, the linear array camera image processing system takes an automatic identification result of a large-size flat casting surface image as a detection area, and generates a CNC program by automatic CNC programming;
in the manual intervention mode, an operator selects all detection grids to be detected according to the detection technical requirement, confirms submission, and automatically generates a CNC program according to the selection result by the linear array camera image processing unit.
The CNC automatic programming conversion algorithm process is as follows,
(1) measuring and obtaining the distance from the surface side of the workpiece to the front end surface of an X-ray generator or a linear array camera in X-ray acquisition equipment, and recording the distance as an object distance f; the linear array camera moves at a constant speed in the vertical direction to scan and pick up a large-size flat casting surface picture, and the pixel sizes of the picture are px and py; the focal length of the X-ray acquisition device is known as F;
(2) calculating the side length (mm) of the large-size flat casting surface area corresponding to the effective acquisition imaging field of the X-ray acquisition equipment under the current object distance condition, and recording as waterFlat length L x And vertical length L y ：
Wherein: r is the proportion of the tower joint area required by X-ray multi-image detection; l (L) 0x And l 0y The horizontal and vertical dimensions (mm) of the sensor of the X-ray acquisition device, respectively;
L x 、L y the actual side length (mm) of a single detection area of the large-size flat casting corresponding to the single detection grid in CNC programming is obtained;
(3) the known effective (maximum) scanning imaging view angle alpha of the linear array camera is determined by a linear array camera sensor and parameters, and once the parameters of the linear array camera sensor are fixed, the angle alpha is a known fixed value; the side length (mm) of the effective scanning imaging window of the linear array camera is recorded as the horizontal length l 1x And vertical length l 1y (Linear array camera vertical travel distance l) 1y The size of the large-size flat casting surface picture shot by the linear array camera is known as p x 、p y The method comprises the steps of carrying out a first treatment on the surface of the Calculating a pixel-to-length (mm) conversion coefficient gamma x And gamma y ：
(4) Calculating the pixel size G of the minimum unit grid marked on the large-size flat casting picture obtained by scanning the linear array camera x 、G y ：
G x ＝L x ×γ x
G y ＝L y ×γ y
(5) The upper left corner of the large-size flat casting surface picture shot by the linear array camera is taken as the origin (0, 0) of a pixel coordinate system, and the middle pixel coordinate (x org ，y org ) The motion coordinate system origin corresponds to the actual detection platform; center point pixel coordinates (x) of a single grid on a large-size flat casting surface picture i ，y i ) Relative to the origin pixel coordinates (x org ，y org ) The offset of the X-ray detection platform in the actual motion coordinate system; according to the mapping relation between the pixel coordinate system and the actual motion coordinate system, calculating the motor motion parameter (horizontal direction motion parameter D) of the motion position of a single CNC point in CNC programming x(i) And the motion parameter D in the vertical direction y(i) )：
Wherein k is x Is the conversion factor k of the motor moving in the horizontal direction y Is a conversion factor of the vertical direction motion motor;
(6) when CNC programming is performed to detect all grids, CNC programming is automatically generated in sequence, and the motor motion parameters D of the next adjacent grid are rapidly calculated according to the actual field size of the grids x(i+1) And D y(i+1) ：
D x(i+1) ＝D x(i) +L x ×k x
D y(i+1) ＝D y(i) +L y ×k y
The invention has the advantages that:
1. dividing a detection area grid according to the complete surface picture of the large-size flat casting, and automatically performing CNC programming; the whole CNC programming process is completed by the linear array camera image processing unit, only 1s is needed, and no waiting of operators is needed. When detecting large-size flat castings, the whole CNC programming time is shortened to be within 5s from tens of minutes, and the detection efficiency is greatly improved.
2. The linear array camera efficiently captures the complete surface picture of the large-size flat casting; 2 m.1.5 m castings can be completely taken within 3s, and the obtained large-size flat castings are visual in complete surface pictures.
3. The full-surface picture of the large-size flat casting can prompt grids on the picture corresponding to the current detection part in real time in the whole X-ray detection process, and is visual.
The foregoing has described in detail the technical solutions provided by the embodiments of the present invention, and specific examples have been applied to illustrate the principles and implementations of the embodiments of the present invention, where the above description of the embodiments is only suitable for helping to understand the principles of the embodiments of the present invention; meanwhile, as for those skilled in the art, according to the embodiments of the present invention, there are variations in the specific embodiments and the application scope, and the present description should not be construed as limiting the present invention.
Claims (5)
1. A detection method for realizing industrial X-ray nondestructive detection of large-size flat castings based on automatic CNC programming of a linear array camera is characterized by comprising the following steps: adopts a detection system consisting of a linear array camera, a linear array camera image processing unit, a motion control unit, an X-ray acquisition device, an X-ray detection platform and an X-ray image processing unit,
comprises the steps of,
s1, placing a detected large-size flat casting on an industrial X-ray detection platform, and enabling a motion control unit to start to control a linear array camera to move from one side of the detected large-size flat casting to the other side of the detected large-size flat casting according to a preset direction;
s2, synchronously starting to shoot continuous complete surface pictures of the detected large-size flat casting by using the linear array camera;
s3, transmitting the shot pictures to an image processing unit of the linear array camera by the linear array camera, and synthesizing continuous complete surface pictures of the complete large-size flat casting;
s4, the linear camera image processing unit calculates the minimum detection grid of the single detection view according to the coordinate parameter information received from the motion control unit;
s5, automatically identifying all detection areas of the detected large-size flat castings in the complete surface picture by the linear array camera image processing unit, and dividing detection grids on the complete surface picture of the large-size flat castings, wherein each grid corresponds to the position of an X-ray image detection visual field;
s6, the linear array camera image processing unit automatically performs CNC programming according to the divided detection grids, and sends the generated CNC program to the motion control unit; the automatic programming conversion algorithm is processed as follows,
(1) measuring and obtaining the distance from the surface side of the workpiece to the front end surface of an X-ray generator or a linear array camera in X-ray acquisition equipment, and recording the distance as an object distance f; the linear array camera moves at a constant speed in the vertical direction to scan and pick up a large-size flat casting surface picture, and the pixel sizes of the picture are px and py; the focal length of the X-ray acquisition device is known as F;
(2) calculating the side length of the large-size flat casting surface area corresponding to the effective acquisition imaging field of the X-ray acquisition equipment under the current object distance condition, and marking the side length as the horizontal length L x And vertical length L y ：
Wherein: r is the proportion of the tower joint area required by X-ray multi-image detection; l (L) 0x And l 0y The horizontal dimension and the vertical dimension of the sensor of the X-ray acquisition equipment are respectively;
L x 、L y the actual side length of a single detection area of the large-size flat casting corresponding to the single detection grid in CNC programming is obtained;
(3) the known effective scanning imaging view angle alpha of the linear array camera is determined by a linear array camera sensor and parameters, and once the parameters of the linear array camera sensor are fixed, the angle alpha is a known fixed value; the side length of the effective scanning imaging window of the linear array camera is recorded as the horizontal length l 1x And vertical length l 1y The size of the picture of the surface of the large-size flat casting taken by the linear array camera is known as p x 、p y The method comprises the steps of carrying out a first treatment on the surface of the Calculating the pixel-to-length conversion coefficient gamma x And gamma y ：
(4) Calculating the pixel size G of the minimum unit grid marked on the large-size flat casting picture obtained by scanning the linear array camera x 、G y ：
G x ＝L x ×γ x
G y ＝L y ×γ y
(5) The upper left corner of the large-size flat casting surface picture shot by the linear array camera is taken as the origin (0, 0) of a pixel coordinate system, and the middle pixel coordinate (x org ，y org ) The motion coordinate system origin corresponds to the actual detection platform; center point pixel coordinates (x) of a single grid on a large-size flat casting surface picture i ，y i ) Relative to the origin pixel coordinates (x org ，y org ) The offset of the X-ray detection platform in the actual motion coordinate system; according to the mapping relation between the pixel coordinate system and the actual motion coordinate system, calculating motor motion parameters of the motion position of a single CNC point in CNC programming, and calculating a horizontal direction motion parameter D x(i) And the motion parameter D in the vertical direction y(i) ：
Wherein k is x Is the conversion factor k of the motor moving in the horizontal direction y Is a conversion factor of the vertical direction motion motor;
(6) when CNC programming is performed to detect all grids, CNC programming is automatically generated in sequence, and the motor motion parameters D of the next adjacent grid are rapidly calculated according to the actual field size of the grids x(i+1) And D y(i+1) ：
D x(i+1 )＝D x(i) +L x ×k x
D y(i+1) ＝D y(i) +L y ×k y ；
S7, after the motion control unit receives the CNC program, controlling the X-ray detection platform to move, and informing the X-ray acquisition equipment to capture an X-ray image;
s8, the X-ray acquisition equipment sends the shot X-ray image to an X-ray image processing unit in real time; and an X-ray detection image is displayed on the image processing unit, so that an operator can judge whether the casting has quality defects or not, and detection is completed.
2. The detection method for realizing industrial X-ray nondestructive detection of large-size flat castings based on automatic CNC programming of linear array cameras according to claim 1, which is characterized by comprising the following steps of: when the castings of the same model batch are repeatedly detected, the program produced through the steps S1-S6 is directly called.
3. The detection method for realizing industrial X-ray nondestructive detection of large-size flat castings based on automatic CNC programming of linear array cameras according to claim 1, which is characterized by comprising the following steps of: in step S5, instead of manually selecting all the detection grids to be inspected, the linear camera image processing unit automatically performs CNC programming according to the selection result, and sends the programmed program to the motion control unit.
4. The detection method for realizing industrial X-ray nondestructive detection of large-size flat castings based on automatic CNC programming of linear array cameras according to claim 1, which is characterized by comprising the following steps of: the X-ray detection platform comprises a C-shaped arm used for setting X-ray acquisition equipment, a lifting slide rail used for controlling the C-shaped arm, and a horizontal slide rail used for bearing a workpiece, wherein the symmetrical middle part of the C-shaped arm is arranged on the lifting slide rail, the horizontal slide rail is arranged along the symmetrical central line of the C-shaped arm, and a turntable is arranged on the horizontal slide rail.
5. The detection method for realizing industrial X-ray nondestructive detection of large-size flat castings based on automatic CNC programming of linear array cameras according to claim 4, wherein the detection method is characterized by comprising the following steps of: the X-ray acquisition equipment comprises an X-ray source generator arranged at one end of the C-shaped arm and a flat panel detector arranged at the other end of the C-shaped arm, wherein the X-ray source generator and the flat panel detector are opposite to each other, and the linear array camera and the X-ray source generator are coaxially arranged in an up-down overlapping mode.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111542815.9A CN114280083B (en) | 2021-12-16 | 2021-12-16 | Detection method for realizing industrial X-ray nondestructive detection of large-size flat castings based on automatic CNC programming of linear array camera |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111542815.9A CN114280083B (en) | 2021-12-16 | 2021-12-16 | Detection method for realizing industrial X-ray nondestructive detection of large-size flat castings based on automatic CNC programming of linear array camera |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114280083A CN114280083A (en) | 2022-04-05 |
| CN114280083B true CN114280083B (en) | 2023-11-07 |
Family
ID=80872500
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111542815.9A Active CN114280083B (en) | 2021-12-16 | 2021-12-16 | Detection method for realizing industrial X-ray nondestructive detection of large-size flat castings based on automatic CNC programming of linear array camera |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114280083B (en) |
Citations (29)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5097492A (en) * | 1987-10-30 | 1992-03-17 | Four Pi Systems Corporation | Automated laminography system for inspection of electronics |
| JPH11173814A (en) * | 1997-12-09 | 1999-07-02 | Amada Co Ltd | Work identifying device |
| US5956253A (en) * | 1997-09-09 | 1999-09-21 | Glassline Corporation | Camera controlled CNC apparatus for processing blanks |
| US6483893B1 (en) * | 1998-11-27 | 2002-11-19 | Wuestec Medical, Inc. | Digital high resolution X-ray imaging |
| JP2006308599A (en) * | 2005-04-29 | 2006-11-09 | Yxlon Internatl X-Ray Gmbh | Automatic defect recognition method for test piece using x-ray inspection unit |
| EP1760457A2 (en) * | 2005-07-13 | 2007-03-07 | Carl Zeiss Industrielle Messtechnik GmbH | Method and a system for calibrating a measuring apparatus |
| DE102006016785A1 (en) * | 2006-04-10 | 2007-10-31 | Yxlon International X-Ray Gmbh | Test part manipulator for X-ray testing facility, has drive unit connected with adjustment unit, manipulation unit and computer, on which program for automatic image analysis runs, where control unit is provided for controlling drive unit |
| US7978821B1 (en) * | 2008-02-15 | 2011-07-12 | The United States Of America As Represented By The Secretary Of The Air Force | Laue crystallographic orientation mapping system |
| CN102175701A (en) * | 2011-02-11 | 2011-09-07 | 王慧斌 | System and method for online flaw detection of industrial X-ray machine |
| CN202305443U (en) * | 2011-09-30 | 2012-07-04 | 清华大学 | CT (computed tomography) system |
| JP2013079825A (en) * | 2011-10-03 | 2013-05-02 | Hitachi Ltd | X-ray ct image reconstruction method, and x-ray ct device |
| CN203259127U (en) * | 2013-05-13 | 2013-10-30 | 昱鑫科技(苏州)有限公司 | Measuring instrument for detecting internal circuit of PCB board |
| CN103728315A (en) * | 2014-01-28 | 2014-04-16 | 中国科学院自动化研究所 | Large-aperture element surface detection device and corresponding damage quick localization method |
| CN203643366U (en) * | 2013-12-31 | 2014-06-11 | 兰州三磊电子有限公司 | Portal frame type X radiographic testing device |
| JP2015197396A (en) * | 2014-04-02 | 2015-11-09 | 三菱電機株式会社 | Image inspection method and image inspection device |
| CN105758345A (en) * | 2016-04-22 | 2016-07-13 | 武汉科技大学 | X-ray fluorescence imaging apparatus for on-line measurement of strip steel coating thickness |
| JP2017083381A (en) * | 2015-10-30 | 2017-05-18 | 東レ株式会社 | Cylindrical body visual inspection device and visual inspection method |
| WO2017172641A1 (en) * | 2016-03-28 | 2017-10-05 | George Papaioannou | Robotics driven radiological scanning systems and methods |
| CN107356608A (en) * | 2017-07-21 | 2017-11-17 | 中国工程物理研究院激光聚变研究中心 | The quick dark field detection method of heavy caliber fused quartz optical component surface microdefect |
| CN108115232A (en) * | 2016-11-26 | 2018-06-05 | 阿杰·查米莱斯股份有限公司 | For the method for the mechanical processing and inspection of workpiece |
| CN108267096A (en) * | 2017-12-25 | 2018-07-10 | 中铁科学技术开发公司 | Railway tunnel lining surface disease rapid detection system |
| CN207636523U (en) * | 2017-12-01 | 2018-07-20 | 伟杰科技（苏州）有限公司 | A kind of X-ray check device of casting defect |
| CN108760766A (en) * | 2018-05-25 | 2018-11-06 | 哈尔滨工业大学 | A kind of image split-joint method of large-aperture optical plane of crystal microdefect detection |
| CN109855531A (en) * | 2018-12-10 | 2019-06-07 | 安徽艾睿思智能科技有限公司 | Size Measuring System and its measurement method for large format template material |
| CN209086179U (en) * | 2018-09-18 | 2019-07-09 | 广东正业科技股份有限公司 | A kind of automatic X-ray check device |
| CN110414391A (en) * | 2019-07-15 | 2019-11-05 | 河北工业大学 | Active mobile vehicle bottom hazardous material detection device based on deep learning algorithm |
| CN111521119A (en) * | 2020-04-24 | 2020-08-11 | 北京科技大学 | Casting blank thickness self-adaptive online image acquisition method |
| CN112858321A (en) * | 2021-02-22 | 2021-05-28 | 南京理工大学 | Steel plate surface defect detection system and method based on linear array CCD |
| CN113030998A (en) * | 2021-03-11 | 2021-06-25 | 南开大学 | Active terahertz security inspection imaging device and method |
Family Cites Families (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP1148333A1 (en) * | 2000-02-05 | 2001-10-24 | YXLON International X-Ray GmbH | Automatic casting defects recognition in specimens |
| SI21200A (en) * | 2002-03-27 | 2003-10-31 | Jože Balič | The CNC control unit for controlling processing centres with learning ability |
| EP1749190B1 (en) * | 2004-05-26 | 2015-05-06 | Werth Messtechnik GmbH | Method for measuring an object using a coordinate measuring machine including a computer tomograph |
| US7761183B2 (en) * | 2006-02-13 | 2010-07-20 | Sullivan Douglas G | Methods and systems for producing numerical control program files for controlling machine tools |
| DE102013104490A1 (en) * | 2013-01-25 | 2014-07-31 | Werth Messtechnik Gmbh | Method and device for determining the geometry of structures by means of computer tomography |
| US11176635B2 (en) * | 2013-01-25 | 2021-11-16 | Cyberoptics Corporation | Automatic programming of solder paste inspection system |
| KR101632046B1 (en) * | 2013-04-12 | 2016-06-20 | 일리노이즈 툴 워크스 인코포레이티드 | High-resolution computed tomography |
-
2021
- 2021-12-16 CN CN202111542815.9A patent/CN114280083B/en active Active
Patent Citations (29)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5097492A (en) * | 1987-10-30 | 1992-03-17 | Four Pi Systems Corporation | Automated laminography system for inspection of electronics |
| US5956253A (en) * | 1997-09-09 | 1999-09-21 | Glassline Corporation | Camera controlled CNC apparatus for processing blanks |
| JPH11173814A (en) * | 1997-12-09 | 1999-07-02 | Amada Co Ltd | Work identifying device |
| US6483893B1 (en) * | 1998-11-27 | 2002-11-19 | Wuestec Medical, Inc. | Digital high resolution X-ray imaging |
| JP2006308599A (en) * | 2005-04-29 | 2006-11-09 | Yxlon Internatl X-Ray Gmbh | Automatic defect recognition method for test piece using x-ray inspection unit |
| EP1760457A2 (en) * | 2005-07-13 | 2007-03-07 | Carl Zeiss Industrielle Messtechnik GmbH | Method and a system for calibrating a measuring apparatus |
| DE102006016785A1 (en) * | 2006-04-10 | 2007-10-31 | Yxlon International X-Ray Gmbh | Test part manipulator for X-ray testing facility, has drive unit connected with adjustment unit, manipulation unit and computer, on which program for automatic image analysis runs, where control unit is provided for controlling drive unit |
| US7978821B1 (en) * | 2008-02-15 | 2011-07-12 | The United States Of America As Represented By The Secretary Of The Air Force | Laue crystallographic orientation mapping system |
| CN102175701A (en) * | 2011-02-11 | 2011-09-07 | 王慧斌 | System and method for online flaw detection of industrial X-ray machine |
| CN202305443U (en) * | 2011-09-30 | 2012-07-04 | 清华大学 | CT (computed tomography) system |
| JP2013079825A (en) * | 2011-10-03 | 2013-05-02 | Hitachi Ltd | X-ray ct image reconstruction method, and x-ray ct device |
| CN203259127U (en) * | 2013-05-13 | 2013-10-30 | 昱鑫科技(苏州)有限公司 | Measuring instrument for detecting internal circuit of PCB board |
| CN203643366U (en) * | 2013-12-31 | 2014-06-11 | 兰州三磊电子有限公司 | Portal frame type X radiographic testing device |
| CN103728315A (en) * | 2014-01-28 | 2014-04-16 | 中国科学院自动化研究所 | Large-aperture element surface detection device and corresponding damage quick localization method |
| JP2015197396A (en) * | 2014-04-02 | 2015-11-09 | 三菱電機株式会社 | Image inspection method and image inspection device |
| JP2017083381A (en) * | 2015-10-30 | 2017-05-18 | 東レ株式会社 | Cylindrical body visual inspection device and visual inspection method |
| WO2017172641A1 (en) * | 2016-03-28 | 2017-10-05 | George Papaioannou | Robotics driven radiological scanning systems and methods |
| CN105758345A (en) * | 2016-04-22 | 2016-07-13 | 武汉科技大学 | X-ray fluorescence imaging apparatus for on-line measurement of strip steel coating thickness |
| CN108115232A (en) * | 2016-11-26 | 2018-06-05 | 阿杰·查米莱斯股份有限公司 | For the method for the mechanical processing and inspection of workpiece |
| CN107356608A (en) * | 2017-07-21 | 2017-11-17 | 中国工程物理研究院激光聚变研究中心 | The quick dark field detection method of heavy caliber fused quartz optical component surface microdefect |
| CN207636523U (en) * | 2017-12-01 | 2018-07-20 | 伟杰科技（苏州）有限公司 | A kind of X-ray check device of casting defect |
| CN108267096A (en) * | 2017-12-25 | 2018-07-10 | 中铁科学技术开发公司 | Railway tunnel lining surface disease rapid detection system |
| CN108760766A (en) * | 2018-05-25 | 2018-11-06 | 哈尔滨工业大学 | A kind of image split-joint method of large-aperture optical plane of crystal microdefect detection |
| CN209086179U (en) * | 2018-09-18 | 2019-07-09 | 广东正业科技股份有限公司 | A kind of automatic X-ray check device |
| CN109855531A (en) * | 2018-12-10 | 2019-06-07 | 安徽艾睿思智能科技有限公司 | Size Measuring System and its measurement method for large format template material |
| CN110414391A (en) * | 2019-07-15 | 2019-11-05 | 河北工业大学 | Active mobile vehicle bottom hazardous material detection device based on deep learning algorithm |
| CN111521119A (en) * | 2020-04-24 | 2020-08-11 | 北京科技大学 | Casting blank thickness self-adaptive online image acquisition method |
| CN112858321A (en) * | 2021-02-22 | 2021-05-28 | 南京理工大学 | Steel plate surface defect detection system and method based on linear array CCD |
| CN113030998A (en) * | 2021-03-11 | 2021-06-25 | 南开大学 | Active terahertz security inspection imaging device and method |
Non-Patent Citations (3)
| Title |
|---|
| Cloud-based approach for automatic CNC workpiece origin localization based on image analysis;Paulo Ricardo Marques de Araujo;《 Robotics and Computer-Integrated Manufacturing》;全文 * |
| X射线实时成像检测系统中定位拾取装置的设计与应用;李芳;孙德超;刘元元;;无损探伤(第06期);全文 * |
| 一种线阵CCD融合光栅尺的高精度尺寸测量新方法研究;同志学;白金池;康智强;;光学技术(第03期);全文 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN114280083A (en) | 2022-04-05 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109459984B (en) | Positioning and grabbing system based on three-dimensional point cloud and using method thereof | |
| CN108489986A (en) | A kind of increasing material manufacturing on-line checking and restorative procedure | |
| CN110987971A (en) | Crystal bubble detection device and method based on machine vision | |
| CN108127217A (en) | Spiral heat exchanger edge weld guides the welder and method of welding automatically | |
| CN109270066B (en) | Scanning method and device for linear array camera | |
| CN113927165A (en) | Rapid positioning and repairing method and system for robot wire filling laser cladding defects | |
| CN110570408B (en) | System and method for counting fine targets on outer surface of cylinder | |
| JP5668227B2 (en) | Image measuring device | |
| CN115984177A (en) | Machine vision detection device, control method thereof, control device, and storage medium | |
| CN114280083B (en) | Detection method for realizing industrial X-ray nondestructive detection of large-size flat castings based on automatic CNC programming of linear array camera | |
| CN113743311B (en) | Device and method for detecting welding spots of battery and connecting sheet based on machine vision | |
| CN217059974U (en) | Fixed fretwork pattern thin metal product quality on-line measuring device | |
| CN114113116A (en) | Accurate detection process method for micro-defects on surface of large-diameter element | |
| CN116183670A (en) | Welding defect detection device and detection method based on eddy current infrared thermal imaging | |
| CN115326844A (en) | Automatic ray detection system and method for welding seam | |
| CN112839168B (en) | Method for automatically adjusting camera imaging resolution in AOI detection system | |
| KR101236845B1 (en) | System for measuring an object and method for measuring an object using the same | |
| CN103905762B (en) | Method for automatically detecting projection picture for projection module | |
| CN112296298A (en) | Method and device for measuring surface temperature distribution of continuous casting blank | |
| CN115209136B (en) | Time-sharing exposure detection method, system and device for line scanning camera and storage medium | |
| CN111330869A (en) | Visual detection method and system for on-line grading of lens | |
| JPH0366587A (en) | Visual device for robot | |
| CN109001222B (en) | AOI automatic enzyme checking equipment and method | |
| CN113109259B (en) | Intelligent navigation method and device for image | |
| JP7151873B2 (en) | inspection equipment |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |