CN214894918U

CN214894918U - Belted steel defect detecting device based on bionical machine vision

Info

Publication number: CN214894918U
Application number: CN202020135163.1U
Authority: CN
Inventors: 张培江
Original assignee: Individual
Current assignee: Individual
Priority date: 2020-01-21
Filing date: 2020-01-21
Publication date: 2021-11-26
Anticipated expiration: 2030-01-21

Abstract

The utility model belongs to the detection device field, in particular to belted steel defect detecting device based on bionical machine vision, including mechanical motion platform, mechanical motion platform includes two sets of longitudinal motion device, two sets of vertical motion device and the reverse two sets of lateral motion device that set up. The utility model discloses reduction image information's that can be great redundancy improves image detection efficiency, reduces the wasting of resources, and the whole quality in the real-time belted steel production process is the accuse, improves belted steel automated processing and detects the integration, and the totality realizes that belted steel detects unmanned, intelligent.

Description

Belted steel defect detecting device based on bionical machine vision

Technical Field

The utility model belongs to the detection device field, in particular to belted steel defect detecting device based on bionical machine vision.

Background

In the mechanical industry, gaskets, hardware stamping parts, various sheet metal parts and the like which are widely used are basically produced by processing and remanufacturing finished product strip steel by taking strip steel as a raw material, and the quality of the strip steel determines the quality of the products. Along with the shortage of global resources and the improvement of the quality requirement of products, the requirements on the quality rate and the yield of finished strip steel products are higher and higher, and defects on the surface of the strip steel are caused in the process of processing the strip steel in the production process of the strip steel due to subjective and objective reasons such as materials, processing technology, system control and the like, wherein the main defects comprise scabs, indentations, pits, bulges, scratches, patches and cracks. These defects lead to poor quality of the finished strip steel, and thus the products such as other parts and sheet metals using the strip steel as a basic processing material are prone to have reduced fatigue resistance, corrosion resistance and other characteristics. When the products are applied to large-scale instruments and equipment, the equipment is easy to age and unsafe, and particularly, serious accidents are caused by special safety equipment such as elevators, cranes and the like. Therefore, the quality of the products needs to be controlled from the raw materials of the products, the production process of the strip steel needs to be detected in real time, and the processing technology modification, quality grade division and the like are carried out in time through real-time detection data. And strictly controlling the quality of the produced strip steel to ensure that the quality is over-qualified.

The traditional strip steel detection method mainly adopts manual inspection, and is low in speed and efficiency. Meanwhile, the manual method requires a certain professional skill of the inspector. This results in the presence of subjectivity in manual testing and lack of reliability in the test results. The long-time use of eyes easily causes eye fatigue, so that the detection effect is poor. With the development of integrated sheet metal processing, the size of the strip steel is gradually increased, the defects of the strip steel with large area are difficult to find by manpower, and the production and processing quality of the strip steel cannot be ensured.

At present, most of strip steel detection methods mainly originate from machine vision detection methods, and most of the strip steel detection methods adopt a basic image processing method to detect the defects of the strip steel. The detection method of machine vision can effectively avoid the defects in manual detection, and greatly improves the efficiency and stability of strip steel detection. However, the existing mainstream method adopts a machine vision detection method adopting a linear array CCD camera, the camera is only provided with a line of photosensitive devices, when strip steel is produced and a roller rolls up, the camera moves at a constant speed, one or more linear array cameras carry out line-by-line scanning, imaged strip graphs are spliced to form a final strip steel imaging graph, then the defect detection is carried out on the formed imaging graph, although the linear array cameras can adapt to the elongated continuous strip detection like strip steel, the linear array cameras are expensive, under the condition of large visual field or high-precision detection, the detection speed is slower than that of the traditional area array CCD camera, in addition, as the size of the strip steel gradually increases, a single linear array camera is not enough for image acquisition, the adoption of a plurality of linear array cameras causes over-high cost, meanwhile, image information brings too much redundancy, and the online detection efficiency is influenced, so that the limitation of machine vision on strip steel detection at present is formed.

SUMMERY OF THE UTILITY MODEL

The to-be-solved technical problem of the utility model is overcome above technical problem, provide a reduction image information's that can be great redundancy, improve image detection efficiency, reduce the wasting of resources, whole quality in the real-time belted steel production process is the accuse, improves belted steel automated processing and detects the integration, and the whole realizes belted steel detection's unmanned, intelligent belted steel defect detecting device based on bionical machine vision.

A strip steel defect detection device based on bionic machine vision comprises a mechanical motion platform, wherein the mechanical motion platform comprises two groups of longitudinal motion devices, two groups of vertical motion devices and two groups of transverse motion devices which are reversely arranged, each of the longitudinal motion devices, the vertical motion devices and the transverse motion devices comprises a fixed profile, one end of the fixed profile is connected with a first lead screw connecting plate, the other end of the fixed profile is fixed with a driving motor mounting plate for mounting a driving motor, the top of the fixed profile is provided with a second lead screw connecting plate close to the driving motor mounting plate, the first lead screw connecting plate and the second lead screw connecting plate are connected with a lead screw through a bearing, one end of the lead screw is connected with an output shaft of the driving motor through a shaft connecting piece, a first sliding block is coaxially sleeved on the lead screw, and a first guide piece is arranged at the bottom of the first sliding block, a sliding block guide rail matched with the first guide piece is arranged between the first screw rod connecting plate and the second screw rod connecting plate at the top of the fixed profile;

the two longitudinal movement devices are connected through a first section bar, the placing positions of the two longitudinal movement devices are in the same direction, the two vertical movement devices are connected through a second section bar, and the placing positions of the two vertical movement devices are in the same direction;

every longitudinal movement device's first slider top is connected in vertical movement device does not have driving motor one end through first connecting plate, every vertical movement device's first slider passes through the second connecting plate and connects in the fixed section bar of two sets of transverse movement devices that reverse set up, every be located still be equipped with the second slider on transverse movement device's the lead screw between first slider and the second lead screw connecting plate, the bottom of second slider is equipped with second guide lock joint in the slider guide rail, one transverse movement device's first slider passes through the third connecting plate with the second slider of another transverse movement device that reverse set up and connects.

Further, the drive motor adopts a stepping motor with 40 modules.

Further, a camera and a light source are installed on the third connecting plate, and the light source is installed below the camera.

The utility model discloses following beneficial effect has: the utility model finds out the characteristics of the interested region from the acquired redundant visual information system by simulating the human visual imaging characteristic, ensures the real-time online detection of the strip steel defect at high speed and effectively, directly extracts the attention point defect region according to the human visual attention mechanism, and then carries out detection work, thus greatly reducing the redundancy of image information, improving the image detection efficiency and reducing the resource waste;

after the bionic machine vision for detecting the defects on the surface of the strip steel is used in the strip steel production and manufacturing process, the defect detection on the surface of the strip steel can be rapidly and rapidly carried out in the strip steel generation process, the automatic and unmanned conversion of the strip steel defect detection is realized, the defects can be rapidly and rapidly selected obviously through the strip steel defects with a large visual field, the mechanical motion platform automatically carries out secondary imaging through a small visual field again, the secondary defect detection on the defects is realized, the defect grade and the defect type are judged again, the grade division and the quality control on the strip steel are comprehensively carried out, the accurate quality supervision control generated in the strip steel production and manufacturing process is realized, and the yield and the high quality rate of the strip steel production are improved.

Drawings

FIG. 1 is a schematic view of a first three-dimensional structure of a strip steel defect detection device based on bionic machine vision;

FIG. 2 is a schematic diagram of a second three-dimensional structure of the strip steel defect detecting device based on the vision of the bionic machine;

FIG. 3 is a schematic structural view of a moving device of the strip steel defect detecting device based on the vision of the bionic machine;

FIG. 4 is a schematic view of a first three-dimensional structure of a lateral movement device of a strip steel defect detection device based on bionic machine vision;

FIG. 5 is a schematic diagram of a second three-dimensional structure of a lateral movement device of the strip steel defect detection device based on the vision of the bionic machine;

FIG. 6 is a system structure diagram of the band steel defect detecting system based on the vision of the bionic machine;

FIG. 7 is a software functional interface structure diagram of a main control system of the strip steel defect detecting system based on the vision of the bionic machine;

FIG. 8 is a flow chart of the utility model for the implementation and usage of a band steel defect detecting system based on the vision of a bionic machine.

As shown in the figure: 1. fixing the section bar; 2. a first lead screw connecting plate; 3. a drive motor mounting plate; 4. a second lead screw connecting plate; 5. a bearing; 6. a screw rod; 7. a shaft connector; 8. a drive motor; 9. a first slider; 10. a first guide member; 11. a slider guide rail; 12. a first profile; 13. A second profile; 14. a first connecting plate; 15. a second connecting plate; 16. a second slider; 17. a second guide member; 18. a third connecting plate; 19. A camera; 20. a light source; 101. a longitudinal movement device; 102. a vertical movement device; 103. and a transverse moving device.

Detailed Description

The present invention will be described in further detail with reference to the accompanying drawings.

As shown in fig. 1 to 5, a strip steel defect detecting device based on bionic machine vision comprises a mechanical motion platform, wherein the mechanical motion platform comprises two sets of longitudinal motion devices 101, two sets of vertical motion devices 102 and two sets of transverse motion devices 103 which are reversely arranged, the longitudinal motion devices 101, the vertical motion devices 102 and the transverse motion devices 103 all comprise fixed profiles 1, one end of each fixed profile 1 is connected with a first lead screw connecting plate 2, the other end of each fixed profile is fixed with a driving motor mounting plate 3 for mounting a driving motor 8, the top of each fixed profile 1 is provided with a second lead screw connecting plate 4 close to the driving motor mounting plate 3, the first lead screw connecting plate 2 and the second lead screw connecting plate 4 are both connected with a lead screw 6 through a bearing 5, one end of the lead screw 6 is connected with an output shaft of the driving motor 8 through a shaft connecting piece 7, a first sliding block 9 is coaxially sleeved on the screw rod 6, a first guide piece 10 is arranged at the bottom of the first sliding block 9, and a sliding block guide rail 11 matched with the first guide piece 10 is arranged at the top of the fixed profile 1 between the first screw rod connecting plate 2 and the second screw rod connecting plate 4;

the two longitudinal movement devices 101 are connected through a first section bar 12, the placing positions of the two longitudinal movement devices 101 are in the same direction, the two vertical movement devices 102 are connected through a second section bar 13, and the placing positions of the two vertical movement devices 102 are in the same direction;

the top of a first sliding block 9 of each longitudinal movement device 101 is connected to one end, without a driving motor 8, of each vertical movement device 102 through a first connecting plate 14, the first sliding block 9 of each vertical movement device 102 is connected to the fixed profiles 1 of two groups of transverse movement devices 103 which are arranged in the opposite direction through a second connecting plate 15, a second sliding block 16 is further arranged on a screw rod 6 of each transverse movement device 103 and located between the first sliding block 9 and the second screw rod connecting plate 4, a second guide 17 arranged at the bottom of the second sliding block 16 is buckled to a sliding block guide rail 11, and the first sliding block 9 of one transverse movement device 103 is connected with the second sliding block 16 of the other transverse movement device 103 which is arranged in the opposite direction through a third connecting plate 18.

The first slider 9 moves with the rotation of the screw 6, the second slider 16 does not move with the rotation of the screw 6, and the second slider 16 moves with the movement of the first slider 19 connected by the third connecting plate 18.

The driving motor 8 adopts a stepping motor with 40 modules.

The third connecting plate 18 is provided with a camera 19 and a light source 20, and the light source 20 is arranged below the camera 19.

The fixed section bar 1, the first section bar 12 and the second section bar 13 are all made of aluminum section bars.

As shown in fig. 6 and 7, a strip steel defect detection system based on bionic machine vision comprises a master control system, wherein the master control system controls a mechanical motion platform through a driver module, controls a camera through an image acquisition module, controls a light source through a light source controller module, and comprises a mechanical motion platform control system, an image information processing system, an optimal image imaging system, a visual bionic sensing system and a data information management system;

the image information processing system and the optimal image imaging system acquire images by controlling the camera and the light source and adjust parameters to acquire optimal image information;

the vision bionic perception system is a bottom-up perception mechanism and a top-down perception mechanism;

the main control system is connected with a human-computer interaction interface, and a user operates the main control system through the human-computer interaction interface.

The connection mode of the main control system and the driver module is a serial port communication mode or a network port communication mode.

The main control system is also provided with a software function interface, the software function interface comprises a mechanical motion platform motion interface, a visual imaging interface, an imaging optimization interface and an algorithm operation interface, the related algorithm adopts the prior art, and an optimization method particle swarm algorithm in the field of intelligent computing is adopted.

The human-computer interaction interface is a desktop computer.

The camera adopts an area-array camera, the resolution is 2448 multiplied by 2050, the chip size is 2/3 inches, the lens adopts a fixed-focus lens, and the focal length is 35 mm.

The light source is an annular light source or a coaxial light source, and the light source controller controls the illumination intensity of the light source through serial port communication.

The driver module is in the model of AMC4030, the image acquisition module adopts an image acquisition card in the model of DH-VT142, and the light source controller module adopts a light source controller in the model of LTS-2 FT.

Mechanical motion platform's driving motor and driver module electric connection, camera and image acquisition module electric connection, light source and light source control module electric connection, driver module, image acquisition module and light source control module and major control system signal connection, human-computer interaction interface and major control system signal connection, the utility model discloses the device still is connected with power module, supplies power for an electrical component.

As shown in fig. 8, for the implementation flowchart of the present invention, all the functions of the system of the present invention operate in a unified application program, and the operation steps of the system take the significant target under the current scene as an example to perform the general description on the operation flow of the system.

During detection, a platform-carried camera carries out integral global defect search on a plurality of strips of steel under a large visual field, global maximum visual information can be obtained, characteristics such as color, brightness, direction and the like of strip steel defect vision are screened, redundant visual information existing in vision is effectively removed, the most interesting area under the large visual field environment, namely a characteristic salient area, is found through preset values and different specific weight weights, the salient area is moved to the visual field center by a motion platform, a high-resolution camera is called to perform visual imaging judgment on the appointed characteristic salient area again, whether defects and defect types exist or not is judged, and the defect types are judged at the same time. The process from the initial visual defect search to the fine defect search on the surface of the strip steel is realized, so that the high-speed and quick defect detection on the surface defect of the strip steel is realized.

The present invention and the embodiments thereof have been described above, but the description is not limited thereto, and the embodiment shown in the drawings is only one of the embodiments of the present invention, and the actual structure is not limited thereto. In summary, those skilled in the art should understand that they should not be limited to the embodiments described above, and that they can design the similar structure and embodiments without departing from the spirit of the invention.

Claims

1. The utility model provides a belted steel defect detecting device based on bionical machine vision which characterized in that: the device comprises a mechanical motion platform, the mechanical motion platform comprises two sets of longitudinal motion devices (101), two sets of vertical motion devices (102) and two sets of transverse motion devices (103) which are arranged in a reverse direction, each of the longitudinal motion devices (101), the vertical motion devices (102) and the transverse motion devices (103) comprises a fixed profile (1), one end of each fixed profile (1) is connected with a first lead screw connecting plate (2), the other end of each fixed profile is fixedly provided with a driving motor mounting plate (3) for mounting a driving motor (8), the top of each fixed profile (1) is close to the corresponding driving motor mounting plate (3) and is provided with a second lead screw connecting plate (4), the first lead screw connecting plate (2) and the second lead screw connecting plate (4) are connected with a lead screw (6) through a bearing (5), one end of the lead screw (6) is connected with an output shaft of the driving motor (8) through a shaft connecting piece (7), a first sliding block (9) is coaxially sleeved on the screw rod (6), a first guide piece (10) is arranged at the bottom of the first sliding block (9), and a sliding block guide rail (11) matched with the first guide piece (10) is arranged at the top of the fixed profile (1) between the first screw rod connecting plate (2) and the second screw rod connecting plate (4);

the two longitudinal movement devices (101) are connected through a first section bar (12), the placing positions of the two longitudinal movement devices (101) are in the same direction, the two vertical movement devices (102) are connected through a second section bar (13), and the placing positions of the two vertical movement devices (102) are in the same direction;

the top of a first sliding block (9) of each longitudinal movement device (101) is connected to one end, without a driving motor (8), of each vertical movement device (102) through a first connecting plate (14), the first sliding block (9) of each vertical movement device (102) is connected to fixed profiles (1) of two groups of transverse movement devices (103) which are arranged in the opposite direction through a second connecting plate (15), a second sliding block (16) is further arranged on a screw rod (6) of each transverse movement device (103) between the first sliding block (9) and the second screw rod connecting plate (4), the bottom of the second sliding block (16) is provided with a second guide piece (17) buckled on a sliding block guide rail (11), and the first sliding block (9) of one transverse moving device (103) is connected with the second sliding block (16) of the other transverse moving device (103) which is arranged in the opposite direction through a third connecting plate (18).

2. The strip steel defect detection device based on the bionic machine vision is characterized in that: the drive motor (8) adopts a stepping motor with 40 modules.

3. The strip steel defect detection device based on the bionic machine vision is characterized in that: and a camera and a light source are arranged on the third connecting plate (18), and the light source is arranged below the camera.