CN111707220A - Concentricity alignment recognition vision system - Google Patents
Concentricity alignment recognition vision system Download PDFInfo
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- CN111707220A CN111707220A CN202010519148.1A CN202010519148A CN111707220A CN 111707220 A CN111707220 A CN 111707220A CN 202010519148 A CN202010519148 A CN 202010519148A CN 111707220 A CN111707220 A CN 111707220A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
- G01B11/26—Measuring arrangements characterised by the use of optical techniques for measuring angles or tapers; for testing the alignment of axes
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Abstract
The invention relates to the technical field of optical measurement, in particular to a concentricity alignment recognition vision system. The system comprises a master control unit, an image processing unit and a man-machine interaction unit; the master control unit is used for managing and scheduling the operation processes of different operation layers in the system; the image processing unit is used for measuring the graph and calculating the measured data; the man-machine interaction unit is used for feeding back information to the user and providing a channel for the user to control the operation of the system. The invention can effectively improve the measurement accuracy and reduce the measurement error by measuring and calculating the obtained equal-proportion clear image, and can be applied to the non-contact measurement of the concentricity of the surface of the workpiece and the coaxiality in the blind hole.
Description
Technical Field
The invention relates to the technical field of optical measurement, in particular to a concentricity alignment recognition vision system.
Background
Coaxiality is an important technical index for evaluating a cylindrical workpiece, and coaxiality errors directly influence the assembly and use of the workpiece; however, when the measured element axis of the workpiece is extremely short, it is very difficult to evaluate the coaxiality of the workpiece, and the concentricity is usually used for evaluation. However, the concentricity of the workpiece is directly measured manually, so that the surface of a fine workpiece can be polluted by directly contacting the workpiece, the measurement error is large, the measurement of the small-size workpiece is inaccurate by naked eyes, and in addition, the method cannot measure the coaxiality of the inner part of the blind hole.
Disclosure of Invention
The invention aims to provide a concentricity alignment recognition vision system to solve the problems in the background technology.
In order to solve the technical problems, the invention provides a concentricity alignment recognition vision system, which comprises a master control unit, an image processing unit and a human-computer interaction unit; the master control unit is used for managing and scheduling the operation processes of different operation layers in the system; the image processing unit is used for measuring the graph and calculating the measured data; the man-machine interaction unit is used for feeding back information to the user and providing a channel for the user to control the operation of the system.
As a further improvement of the technical scheme, the master control unit comprises a mode management module, a camera control module and a fault alarm module; the mode management module is used for providing various concentricity alignment identification templates and controlling smooth switching among the templates; the camera control module is used for controlling the starting and stopping processes of the camera and the matched light source component thereof; and the fault alarm module is used for monitoring the running state of the system and alarming and feeding back abnormal conditions.
As a further improvement of the technical scheme, the image processing unit comprises an image acquisition module, an image initial processing module, an image measurement module and a data processing module; the image acquisition module is used for acquiring an image shot by the camera and transmitting a graph to the display; the image initial processing module is used for carrying out preliminary matching and correction processing on the graph so as to carry out measurement; the graph measuring module is used for measuring data of the primarily processed graph to be used as a basis for calculation; the data processing module is used for calculating the concentricity and the correction value.
As a further improvement of the technical scheme, the image primary processing module comprises a shape matching detection module, a spot analysis module and an edge pair detection module; the shape matching detection module is used for extracting the edge characteristics of the image and judging the difference between the edge characteristics and a standard circle; the spot analysis module is used for extracting spots in the graph as stable points to analyze so as to improve the accuracy of graph matching; the edge pair detection module is used for positioning and analyzing the edge of the graph.
As a further improvement of the technical scheme, the data processing module comprises a concentricity calculating module and a correction value calculating module; the concentricity calculation module is used for calculating the concentricity of the graph; and the correction value calculating module is used for calculating a correction value of the concentric deviation.
As a further improvement of the technical solution, a calculation formula of the concentricity calculation module is as follows:
wherein S ismaxIs the maximum thickness, SminS is the average thickness.
As a further improvement of the technical solution, a calculation formula of the correction value calculation module is:
wherein S ismaxIs the maximum thickness, SminAt minimum thickness, s is the correction value.
Wherein the correction direction is SminTowards SmaxAnd (4) direction.
As a further improvement of the technical scheme, the human-computer interaction unit comprises an information display module, a touch screen control module and a result feedback module; the information display module is used for displaying the system running state value, the image, the measured value and the like through an electronic display screen; the touch screen control module is used for receiving input information of the contact through the tactile feedback system and driving the connecting equipment according to a pre-programmed program; and the result feedback module is used for feeding back the calculated results of concentricity, correction value, correction direction and the like to the user.
Compared with the prior art, the invention has the beneficial effects that: in the concentricity alignment recognition vision system, by acquiring the equal-proportion clear images on the surface of the workpiece or in the blind hole and measuring and calculating the images, the measurement accuracy can be effectively improved, the measurement error is reduced, the non-contact measurement is realized, the workpiece is prevented from being polluted, and the concentricity alignment recognition vision system can be applied to the measurement of the concentricity of the surface of the workpiece and the coaxiality in the blind hole.
Drawings
FIG. 1 is an overall block diagram of embodiment 1;
FIG. 2 is a block diagram of the overall control unit module of embodiment 1;
FIG. 3 is a block diagram of an image processing unit of embodiment 1;
FIG. 4 is a block diagram of an image preliminary processing module according to embodiment 1;
FIG. 5 is a block diagram of a data processing module of embodiment 1;
FIG. 6 is a block diagram of a human-computer interaction unit module according to embodiment 1;
fig. 7 is a schematic structural diagram of the cloud platform apparatus according to embodiment 1.
The various reference numbers in the figures mean:
100. a master control unit; 101. a mode management module; 102. a camera control module; 103. a fault alarm module;
200. an image processing unit; 201. an image acquisition module; 202. an image primary processing module; 2021. a shape matching detection module; 2022. a blob analysis module; 2023. an edge pair detection module; 203. a graph measuring module; 204. a data processing module; 2041. a concentricity calculation module; 2042. a correction value calculation module;
300. a human-computer interaction unit; 301. an information display module; 302. a touch screen control module; 303. and a result feedback module.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example 1
As shown in fig. 1 to 7, the present embodiment provides a concentricity alignment recognition vision system, which comprises a total control unit 100, an image processing unit 200 and a human-computer interaction unit 300; the total control unit 100 is used for managing and scheduling the operation processes of different operation layers in the system; the image processing unit 200 is configured to measure a graph and perform calculation processing on data obtained by the measurement; the human-computer interaction unit 300 is used for feeding back information to the user and providing a channel for the user to control the operation of the system.
In this embodiment, the general control unit 100 includes a mode management module 101, a camera control module 102, and a fault alarm module 103; the mode management module 101 is used for providing various concentricity alignment identification templates and controlling smooth switching among the templates; the camera control module 102 is used for controlling the start-stop process of the camera and the matched light source assembly; the fault alarm module 103 is used for monitoring the system running state and giving an alarm and feeding back an abnormal condition.
In this embodiment, the image processing unit 200 includes an image acquisition module 201, an image initial processing module 202, a graph measurement module 203, and a data processing module 204; the image acquisition module 201 is used for acquiring images shot by a camera and transmitting graphics to a display; the image initial processing module 202 is used for performing initial matching and correction processing on the graph so as to perform measurement; the graph measuring module 203 is used for measuring data of the graph after the initial processing to be used as a basis for calculation; the data processing module 204 is used for calculating the concentricity and the correction value.
Further, the image preliminary processing module 202 includes a shape matching detection module 2021, a blob analysis module 2022, and an edge-pair detection module 2023; the shape matching detection module 2021 is configured to extract an image edge feature and determine a difference between the image edge feature and a standard circle; the speckle analysis module 2022 is used for extracting speckles in the graph as stable points to perform analysis so as to improve the accuracy of graph matching; the edge pair detection module 2023 is used to perform positioning analysis on the edges of the graph.
Further, the data processing module 204 includes a concentricity calculating module 2041 and a correction value calculating module 2042; the concentricity calculating module 2041 is used for calculating the concentricity of the graph; the correction value calculating module 2042 is used for calculating a correction value of the concentricity deviation.
The calculation formula of the concentricity calculation module 2041 is as follows:
wherein S ismaxIs the maximum thickness, SminS is the average thickness.
The calculation formula of the correction value calculation module 2042 is:
wherein S ismaxIs the maximum thickness, SminAt minimum thickness, s is the correction value.
Wherein the correction direction is SminTowards SmaxAnd (4) direction.
In this embodiment, the human-computer interaction unit 300 includes an information display module 301, a touch screen control module 302 and a result feedback module 303; the information display module 301 is configured to display the system running state value, the image, the measured value, and the like through an electronic display screen; the touch screen control module 302 is used for receiving input information of the contact through a tactile feedback system and driving a link device according to a pre-programmed program; the result feedback module 303 is configured to feed back the calculated results of concentricity, correction value, correction direction, and the like to the user.
Further, the touch screen is preferably a projected capacitive touch screen, and the touch screen can support multi-gesture and multi-touch.
In particular, the concentricity alignment recognition vision system can be applied to measuring the concentricity of the surface of a workpiece and the coaxiality in a blind hole of the workpiece in a non-contact manner and giving correction guidance.
In addition, the present embodiment further provides a concentricity alignment recognition vision device, and referring to fig. 7, a schematic structural diagram of the concentricity alignment recognition vision device according to the present embodiment is shown, and the device includes a processor, a memory, and a bus.
The processor comprises one or more processing cores, the processor is connected with the processor through a bus, the memory is used for storing program instructions, and the concentricity alignment recognition visual system is realized when the processor executes the program instructions in the memory.
Alternatively, the memory may be implemented by any type or combination of volatile or non-volatile memory devices, such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks.
In addition, the invention also provides a computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to realize the concentricity alignment recognition vision system.
Optionally, the present invention also provides a computer program product containing instructions which, when run on a computer, cause the computer to perform the above aspects of the concentricity alignment recognition vision system.
It will be understood by those skilled in the art that all or part of the steps of implementing the above embodiments may be implemented by hardware, or may be implemented by hardware related to instructions of a program, and the program may be stored in a computer-readable storage medium, where the above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.
The foregoing shows and describes the general principles, essential features, and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, and the preferred embodiments of the present invention are described in the above embodiments and the description, and are not intended to limit the present invention. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (8)
1. Concentricity is counterpointed and is discerned vision system, its characterized in that: the system comprises a total control unit (100), an image processing unit (200) and a man-machine interaction unit (300); the master control unit (100) is used for managing and scheduling the operation processes of different operation layers in the system; the image processing unit (200) is used for measuring the graph and performing calculation processing on the measured data; the human-computer interaction unit (300) is used for feeding back information to a user and providing a channel for the user to control the operation of the system.
2. The concentricity alignment recognition vision system of claim 1, wherein: the master control unit (100) comprises a mode management module (101), a camera control module (102) and a fault alarm module (103); the mode management module (101) is used for providing a plurality of concentricity alignment identification templates and controlling smooth switching among the templates; the camera control module (102) is used for controlling the starting and stopping processes of the camera and the matched light source component thereof; and the fault alarm module (103) is used for monitoring the running state of the system and giving an alarm and feeding back an abnormal condition.
3. The concentricity alignment recognition vision system of claim 1, wherein: the image processing unit (200) comprises an image acquisition module (201), an image primary processing module (202), a graph measuring module (203) and a data processing module (204); the image acquisition module (201) is used for acquiring an image shot by a camera and transmitting a graph to a display; the image primary processing module (202) is used for carrying out primary matching and correction processing on the images so as to carry out measurement; the graph measuring module (203) is used for measuring data of the graph after primary processing to be used as a basis for calculation; the data processing module (204) is used for calculating the concentricity and the correction value.
4. The concentricity alignment recognition vision system of claim 3, wherein: the image primary processing module (202) comprises a shape matching detection module (2021), a speckle analysis module (2022) and an edge-to-edge detection module (2023); the shape matching detection module (2021) is used for extracting image edge features and judging the difference between the image edge features and a standard circle; the speckle analysis module (2022) is used for extracting speckles in the graph as stable points to perform analysis so as to improve the accuracy of graph matching; the edge pair detection module (2023) is used for carrying out positioning analysis on the edge of the graph.
5. The concentricity alignment recognition vision system of claim 3, wherein: the data processing module (204) comprises a concentricity calculating module (2041) and a correction value calculating module (2042); the concentricity calculating module (2041) is used for calculating the concentricity of the graph; the correction value calculation module (2042) is used for calculating a correction value of the concentric deviation.
6. The concentricity alignment recognition vision system of claim 5, wherein: the calculation formula of the concentricity calculation module (2041) is as follows:
wherein S ismaxIs the maximum thickness, SminS is the average thickness.
7. The concentricity alignment recognition vision system of claim 5, wherein: the calculation formula of the correction value calculation module (2042) is as follows:
wherein S ismaxIs the maximum thickness, SminAt minimum thickness, s is the correction value.
8. The concentricity alignment recognition vision system of claim 1, wherein: the human-computer interaction unit (300) comprises an information display module (301), a touch screen control module (302) and a result feedback module (303); the information display module (301) is used for displaying the system running state value, the image, the measured value and the like through an electronic display screen; the touch screen control module (302) is used for receiving input information of a contact through a tactile feedback system and driving a connecting device according to a pre-programmed program; and the result feedback module (303) is used for feeding back the results of the calculated concentricity, the correction value, the correction direction and the like to the user.
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Cited By (1)
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| US20220214290A1 (en) * | 2021-01-05 | 2022-07-07 | The Boeing Company | Methods and apparatus for measuring fastener concentricity |
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