CN214310215U - Workpiece defect detection system for automobile clutch pressure plate production line - Google Patents
Workpiece defect detection system for automobile clutch pressure plate production line Download PDFInfo
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- CN214310215U CN214310215U CN202120277915.2U CN202120277915U CN214310215U CN 214310215 U CN214310215 U CN 214310215U CN 202120277915 U CN202120277915 U CN 202120277915U CN 214310215 U CN214310215 U CN 214310215U
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Abstract
The invention relates to a workpiece defect detection system for an automobile clutch pressure plate production line, and belongs to the technical field of workpiece defect detection of automobile production automation production lines. The technical scheme is as follows: a binocular camera is installed on a detection unit of a production line, and image acquisition of a detected workpiece is achieved. And an image processing computer is used for image processing and algorithm analysis, the detected element is placed on the tray and pushed into the conveying belt at a certain time interval, and when the tray reaches the visual detection unit, the tray is detected by the photoelectric sensor, and then the binocular camera is triggered to acquire an image. The collected image is transmitted to an image processing computer, the image processing computer extracts an image characteristic value through a Relieff algorithm, and after comparison and analysis are carried out on the image characteristic value and the pre-stored standard image characteristic, the identified position, shape, defect-free characteristic data and the like are output to a central controller, a PLC is adopted as the central controller, and the central controller PLC controls an industrial robot to execute corresponding actions on the detected workpiece. And conveying the workpieces without flaws to the next station, and placing the workpieces with flaws into a specified position.
Description
Technical Field
The invention relates to a workpiece defect detection system for an automobile clutch pressure plate production line, and belongs to the technical field of workpiece defect detection of automobile production automation production lines.
Background
In recent years, the automobile industry is continuously developed, Chinese intelligence and industry 4.0 are proposed to enable the automobile industry in China to enter an automatic production era, the production speed of an automatic production line is improved, higher requirements are also provided for the quality of automobile assembly and assembly parts, and defect detection is the primary link of quality detection of assembly parts and influences the quality of automobiles, so that the rapid and accurate detection of automobile gearbox clutch pressure plate assembly workpieces is of great significance to the modern automobile industry.
The automobile gearbox pressure plate assembly workpiece is composed of a pressure plate, a diaphragm spring, a clutch shell and a supporting ring, the four parts are different in shape and different in material, the complexity and diversity of defects of each part bring great difficulty to defect feature extraction and identification, the traditional automobile gearbox clutch pressure plate assembly workpiece detection mainly adopts methods such as manual detection and monocular camera detection, and due to the fact that the types of defects are more, such as whether depressions (sink) exist on the surface of a pressure plate casting part, bubbles, cracks (cracks) and sand holes exist, whether the circular holes and gaps of the diaphragm spring are qualified or not, whether the circular holes of the clutch shell are qualified or not, whether the supporting ring deforms or not, the efficiency of the traditional detection method is low, and the detection accuracy is difficult to guarantee. The invention provides a workpiece defect detection system for an automobile clutch pressure plate production line, which can quickly and accurately detect whether assembled workpieces have faults or not, and can greatly improve the detection efficiency and accuracy by applying a computer and a robot system for processing.
Disclosure of Invention
The invention aims to provide a workpiece defect detection system for an automobile clutch pressure plate production line, which can quickly and accurately detect and process the defect condition of a workpiece, thereby improving the industrial production efficiency and reducing the production cost.
The utility model provides a system for automobile clutch pressure disk production line work piece defect detection which technical scheme is: a system for detecting defects of workpieces in an automobile clutch pressure plate production line comprises a binocular camera, an image processing computer, a central controller PLC, an industrial robot, a touch screen, a production line conveyor belt, a photoelectric detection sensor and a tray.
During the working process of the system, a detected workpiece is placed on a tray, the tray is transported by a production line conveyor belt, a photoelectric detection switch detects that the tray with the workpiece reaches a pointed position of the conveyor belt, an electric signal is transmitted to a central controller PLC, the central controller PLC sends out a point electric signal to stop the conveyor belt from running, meanwhile, a shooting starting command is sent to an image processing computer through an Ethernet, the image processing computer sends out a shooting starting command to a binocular camera through a USB interface, and the binocular camera starts shooting. The image shot by the binocular camera is transmitted to an image processing computer through a SUB signal interface, the image processing computer analyzes and processes the image through an algorithm to obtain defect information, the information is transmitted to a central controller PLC through an Ethernet mode, the central controller PLC communicates with the industrial robot through the Ethernet to convey the workpieces without defects to the next station, and the workpieces with defects are placed in the designated position. The touch screen can realize information display and operation of all processes, and the touch screen is communicated with the central controller PLC through the Ethernet.
The binocular camera realizes the image acquisition of the detected workpiece, and compared with a plane image of a monocular camera, the image acquired by the binocular camera has larger angle, more dimensions, more comprehensive image information and more advantages in workpiece defect detection. And an image processing computer is used for image processing and algorithm analysis, the detected element is placed on the tray and pushed into the conveying belt at a certain time interval, and when the tray reaches the visual detection unit, the tray is detected by the photoelectric sensor, and then the binocular camera is triggered to acquire an image. The collected image is transmitted to an image processing computer, the image processing computer extracts an image characteristic value through a Relieff algorithm, and after the image characteristic value is compared and analyzed with a pre-stored standard image characteristic, characteristic data of the identified position, shape, defect and the like are output to a central controller, a PLC is adopted as the central controller, and the PLC controls an industrial robot to execute corresponding actions on the detected workpiece. And conveying the workpieces without flaws to the next station, and placing the workpieces with flaws into a specified position.
Preferably, the present invention further provides: the binocular camera is an Intel RealSense D435 binocular camera and is communicated with the image processing computer through a USB3.0 interface.
Preferably, the present invention further provides: the binocular camera is arranged right above the workpiece and is 40-50cm away from the workpiece.
Preferably, the present invention further provides: the image processing computer adopts a win10 system, a tenth generation Intel Core i7-10700K processor, a 1T solid state disk, a 16GB memory and an NVIDIA GTX2060 display card. And performing characteristic processing on the acquired workpiece image by adopting a Relieff algorithm, and performing modeling comparison on a defect library by adopting a convolutional neural network algorithm to finally obtain a workpiece defect result. The computer and the central controller PLC communicate using ethernet.
Preferably, the present invention further provides: the central controller is a PLC, and the specific model is 1214C/DC/DC/DC of Siemens 1200 series.
Preferably, the present invention further provides: the photoelectric sensor adopts an ohm dragon E3Z-D61 diffuse reflection type photoelectric switch and is used for detecting whether the workpiece tray reaches a detection position or not and transmitting an electric signal to the PLC.
Preferably, the present invention further provides: the industrial robot selects an ABB2400 type robot with the load capacity of 7 KG. The robot and the central controller PLC are used for communication through an Ethernet.
Preferably, the present invention further provides: the touch screen adopts Siemens SMART700IE V3, and a 7-inch touch screen is used for operation and information display. The touch screen communicates with the central controller PLC via ethernet.
The invention has the beneficial effects that: a workpiece defect detection system for an automobile clutch pressure plate production line can realize rapid and accurate identification of workpiece defects of the automobile clutch pressure plate production line through a binocular camera and an advanced computer image processing technology, and further realize full process automation, high efficiency and high accuracy of the production line by adopting an industrial robot technology in subsequent processing. Thereby improving the efficiency of industrial production and reducing the production cost.
Drawings
The structure of the present invention will be further described with reference to the accompanying drawings.
FIG. 1 is a structural assembly diagram of the system of the present invention;
the figures are labeled as follows: the binocular camera is 100, the specific model of the binocular camera is Intel RealSense D435, 200 is an image processing computer, 300 is a central controller, a PLC is adopted as the central controller, 400 is a production line conveyor belt, 500 is a photoelectric detection sensor, 600 is an industrial robot, and 700 is a touch screen.
Detailed Description
The invention is further illustrated by the following examples in conjunction with the accompanying drawings.
A workpiece defect detection system for an automobile clutch pressure plate production line comprises the following hardware: the system comprises a binocular camera 100, an image processing computer 200, a central controller PLC300, an industrial robot 600, a touch screen 700, a production line conveyor belt 400, a photoelectric detection sensor 500 and a tray.
The binocular camera 100 is an important component of the system and is responsible for acquiring images of a measured workpiece, and the invention adopts an Intel RealSense D435 binocular camera and communicates with an image processing computer through a USB3.0 interface. The camera is arranged right above the workpiece and is 40-50cm away from the workpiece.
The image processing computer 200 adopts win10 system, tenth generation Intel Core i7-10700K processor, 1T solid state disk, 16GB memory, NVIDIA GTX2060 display card. And performing characteristic processing on the acquired workpiece image by adopting a Relieff algorithm, and performing modeling comparison on a defect library by adopting a convolutional neural network algorithm to finally obtain a workpiece defect result. The computer and the central controller PLC communicate using ethernet.
The central controller 300 adopts a PLC as the central controller, and the specific model is 1214C/DC/DC/DC of Siemens 1200 series.
The photoelectric sensor 500 adopts an ohm dragon E3Z-D61 diffuse reflection type photoelectric switch and is used for detecting whether the workpiece tray reaches a detection position or not and transmitting an electric signal to the central controller PLC.
The industrial robot 600 selects an ABB2400 type robot with a load of 7 KG. The robot and the central controller PLC are used for communication through an Ethernet.
The touch screen 700 uses siemens SMART700IE V3, a 7 inch touch screen for operation and information display. The touch screen communicates with the central controller PLC via ethernet.
The specific embodiment is as follows:
in the working process of the system, firstly, a detected workpiece is placed on a tray, the tray is transported by the production line conveyor belt 400, the photoelectric sensor 500 detects that the tray with the workpiece reaches a detection position, an electric signal is transmitted to the central controller PLC300, the central controller PLC300 sends out a point electric signal to stop the production line conveyor belt 400 to run, meanwhile, a shooting starting instruction is sent to the image processing computer 200 through the Ethernet, the image processing computer 200 sends out a shooting starting instruction to the binocular camera 100 through the USB interface, and the binocular camera 100 starts shooting. The picture shot by the binocular camera 100 is transmitted to the image processing computer 200 through a SUB signal interface, the image processing computer 200 analyzes and processes the picture through an algorithm to obtain defect information, the information is transmitted to the central controller PLC300 through an Ethernet mode, the central controller PLC300 communicates with the industrial robot 600 through the Ethernet to convey the workpieces without defects to the next station, and the workpieces with defects are placed in the designated positions. The touch screen 700 can display information and operate all processes, and the touch screen 700 communicates with the central controller PLC300 through the ethernet.
The binocular camera 100 realizes image acquisition of a detected workpiece. The image processing computer 200 is used for image processing and algorithm analysis, the tested element is placed on the tray and pushed into the production line conveyor belt 400 according to a certain time interval, when the tray reaches the visual detection position, the tray is detected by the photoelectric sensor 500, and the binocular camera 100 is triggered to collect images immediately. The collected image is transmitted to the image processing computer 200, the image processing computer 200 extracts an image characteristic value through a Relieff algorithm, and after comparing and analyzing the image characteristic value with a pre-stored standard image characteristic, the image characteristic value outputs the identified characteristic data such as position, shape, defect and the like to the central controller PLC300, and the central controller PLC300 executes corresponding action on the detected workpiece by controlling the industrial robot 600. And conveying the workpieces without flaws to the next station, and placing the workpieces with flaws into a specified position.
Claims (8)
1. The utility model provides an automobile clutch pressure disk production line work piece defect detecting system which characterized in that: the system comprises a binocular camera (100), an image processing computer (200), a central controller PLC (300), an industrial robot (600), a touch screen (700), a production line conveyor belt (400), a photoelectric detection sensor (500) and a tray, wherein the tray bears a workpiece and moves along with the production line conveyor belt (400), the production line conveyor belt (400) is connected with the central controller PLC (300) through a signal line, the photoelectric detection sensor (500) is connected with the central controller PLC (300) through a signal line, the central controller PLC (300) is connected with the binocular camera (100) through Ethernet, the central controller PLC (300) is connected with the image processing computer through a USB, the central controller PLC (300) is communicated with the industrial robot (600) through the Ethernet, and the touch screen (700) is communicated with the central controller PLC (300) through the Ethernet.
2. The workpiece defect detection system for the automobile clutch platen production line according to claim 1, characterized in that: the binocular camera (100) is an Intel RealSense D435 binocular camera and is communicated with the image processing computer through a USB3.0 interface.
3. The workpiece defect detection system for the automobile clutch platen production line as claimed in claim 2, wherein: the position of the binocular camera (100) is arranged right above the workpiece and is 40-50cm away from the workpiece.
4. The workpiece defect detection system for the automobile clutch platen production line according to claim 3, wherein: the image processing computer (200) adopts win10 system, tenth generation Intel Core i7-10700K processor, 1T solid state disk, 16GB memory, NVIDIA GTX2060 display card.
5. The workpiece defect detection system for the automobile clutch platen production line according to claim 4, wherein: the central controller PLC (300) model is the Siemens 1200 series 1214C/DC/DC/DC.
6. The workpiece defect detection system for the automobile clutch platen production line according to claim 5, wherein: the photoelectric detection sensor (500) adopts an ohm dragon E3Z-D61 diffuse reflection type photoelectric switch.
7. The workpiece defect detection system for the automobile clutch platen production line according to claim 6, wherein: the industrial robot (600) selects an ABB2400 type robot with the load capacity of 7 KG.
8. The workpiece defect detection system for the automobile clutch platen production line according to claim 7, wherein: the touch screen (700) employs siemens SMART700IE V3.
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| CN202120277915.2U CN214310215U (en) | 2021-02-01 | 2021-02-01 | Workpiece defect detection system for automobile clutch pressure plate production line |
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| CN202120277915.2U CN214310215U (en) | 2021-02-01 | 2021-02-01 | Workpiece defect detection system for automobile clutch pressure plate production line |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114705101A (en) * | 2022-04-14 | 2022-07-05 | 宁夏共享机床辅机有限公司 | Detection method and detection system for part precision on stacker |
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2021
- 2021-02-01 CN CN202120277915.2U patent/CN214310215U/en not_active Expired - Fee Related
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114705101A (en) * | 2022-04-14 | 2022-07-05 | 宁夏共享机床辅机有限公司 | Detection method and detection system for part precision on stacker |
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Granted publication date: 20210928 |