Tool table device for intelligent detection and automatic rubberizing of movable radar support

Abstract

The invention discloses a tool table device for intelligent detection and automatic rubberizing of a movable radar support, and the tool table device is a multi-indexing rotary tool table, and comprises a first station which is used for carrying out the visual detection of the movable radar support; the second station is used for spraying an adhesion promoter on the movable radar support; the third station is used for printing bar codes on the movable radar supports; the fourth station is used for drying the adhesion promoter of the movable radar support; the fifth station is used for pasting a double-faced adhesive tape on the movable radar support; and the sixth station is used for compacting the double-faced adhesive tape of the movable radar support. According to the invention, the production efficiency is greatly improved, the manual intervention is reduced, and the consistency and the stability of the product quality are ensured.

Description

Technical Field

[0001] The invention belongs to the technical field of intelligent detection and automatic gluing, and in particular relates to a tooling table device for intelligent detection and automatic gluing of a moving radar bracket. Background Art

[0002] As a high-precision electronic product accessory, the dynamic radar bracket has a high degree of complexity in its processing and testing. There are still some technical bottlenecks in the current workpiece detection and gluing process, which are mainly reflected in the following aspects:

[0003] 1. Manual inspection is inefficient and prone to errors: Manual inspection of the model, color and barcode information of the workpiece is time-consuming and easily interfered by human factors. The inspection accuracy is difficult to guarantee, and due to the limitations of manual operation, the production efficiency is low.

[0004] 2. The accuracy of automatic gluing is not high: Some existing gluing devices are insufficient in the degree of automation, especially in the cutting, adsorption and pasting process of double-sided tape, deviations are prone to occur, resulting in poor workpiece quality.

[0005] 3. Imperfect quality inspection methods: Quality inspection of workpieces after processing, especially the presence and quality of double-sided tape, usually uses manual visual inspection or simple mechanical inspection, which cannot conduct comprehensive and high-precision inspection of product quality, resulting in some defective products not being detected in time. Summary of the invention

[0006] In order to solve the above technical problems, the present invention proposes a tooling table device for intelligent detection and automatic gluing of a dynamic radar bracket to solve the problems existing in the above-mentioned prior art.

[0007] To achieve the above-mentioned purpose, the present invention provides a tooling table device for intelligent detection and automatic gluing of a moving radar bracket, wherein the tooling table device is a multi-indexing rotary tooling table, comprising:

[0008] The first station is used to perform visual inspection on the dynamic radar bracket;

[0009] The second station is used to spray an adhesion promoter on the dynamic radar bracket;

[0010] The third station is used to barcode the dynamic radar bracket;

[0011] The fourth station is used to dry the adhesion promoter of the dynamic radar bracket;

[0012] The fifth station is used to affix double-sided tape to the dynamic radar bracket;

[0013] The sixth workstation is used to compact the double-sided adhesive of the dynamic radar bracket.

[0014] Preferably, each division of the rotary tooling table includes a positioning fixture to match the positioning structure of the turntable; wherein the positioning fixture is designed and made of different workpiece types, and the workpiece is a dynamic radar bracket.

[0015] Preferably, the first station comprises:

[0016] The first camera, based on YOLOv8 and OCR technology, is used to detect and identify the workpiece coding area and extract the coding information;

[0017] The second camera, based on the DenseNet101 model, is used to classify the bar color category of the recognition artifact.

[0018] Preferably, the second workstation includes an automatic spray head, a cylinder lifting mechanism, and a cover to prevent contamination of the adhesion promoter.

[0019] Preferably, the fifth station comprises:

[0020] The feeding area is used to feed the double-sided adhesive material using a roller, and different feeding amounts can be achieved by adjusting the rotation amount of the motor;

[0021] A cutting mechanism, used for cutting the double-sided adhesive tape using an unpowered roller cutter;

[0022] The suction mechanism is used to suck the double-sided adhesive tape using a suction cup, control the position of the suction cup through a linear module, and realize the lifting and lowering of the suction cup through a linear guide rail and a cylinder.

[0023] Preferably, the roller comprises a front roller and a rear roller, the double-sided adhesive is fed through the rear roller, and the release paper is fed and pressed through the front roller, wherein the rear roller and the front roller use a synchronous belt to achieve the same rotation amount.

[0024] Preferably, the sixth workstation is also used to take out the processed workpiece based on the linear module and the cylinder combination, and to perform visual inspection on the processed workpiece again through the first workstation, and automatically sort it based on the visual inspection results.

[0025] Preferably, the workbench device further includes an electrical system and a safety light grid, as well as a three-color light for indicating a working status.

[0026] Preferably, the tooling table device further comprises a touch screen and a button box for workers to operate to select the workpiece type and control the operation of the tooling table device.

[0027] Compared with the prior art, the present invention has the following advantages and technical effects:

[0028] The present invention provides a tooling table device for intelligent detection and automatic gluing of a moving radar bracket. The tooling table device is a multi-index rotary tooling table, comprising: a first station, used for visual detection of the moving radar bracket; a second station, used for spraying an adhesion promoter on the moving radar bracket; a third station, used for barcoding the moving radar bracket; a fourth station, used for drying the adhesion promoter of the moving radar bracket; a fifth station, used for sticking double-sided tape on the moving radar bracket; and a sixth station, used for compacting the double-sided tape of the moving radar bracket.

[0029] This application uses the first workstation to accurately identify the model, color, and barcode information of the dynamic radar bracket, and other workstations to achieve automatic spraying of adhesion promoter, automatic cutting and bonding of double-sided tape, and quality inspection of workpieces after processing. It can greatly improve production efficiency, reduce manual intervention, ensure the consistency and stability of product quality, reduce labor costs, and meet the needs of modern industry for high-quality and high-efficiency production. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] The drawings constituting a part of the present application are used to provide a further understanding of the present application. The illustrative embodiments and descriptions of the present application are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0031] Figure 1 It is a workstation layout diagram of an embodiment of the present invention;

[0032] Figure 2 A schematic diagram of a positioning fixture according to an embodiment of the present invention;

[0033] Figure 3 Schematic diagram of an adhesion promoter spraying device according to an embodiment of the present invention;

[0034] Figure 4 This is a schematic diagram of a double-sided adhesive tape sticking station according to an embodiment of the present invention;

[0035] Figure 5 A schematic diagram of loading and cutting according to an embodiment of the present invention;

[0036] Figure 6 A schematic diagram of absorbing and sticking double-sided tape according to an embodiment of the present invention;

[0037] Figure 7 A schematic diagram of a double-sided adhesive tape according to an embodiment of the present invention;

[0038] Figure 8 It is a double-sided adhesive pressing station of an embodiment of the present invention;

[0039] Fig. 9 Schematic diagram of material cutting according to an embodiment of the present invention. DETAILED DESCRIPTION

[0040] It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present application can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0041] It should be noted that the steps shown in the flowcharts of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and that, although a logical order is shown in the flowcharts, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0042] Embodiment 1

[0043] like Figure 1 As shown, the present invention provides a tooling table device for intelligent detection and automatic gluing of a moving radar bracket, wherein the tooling table device is a multi-indexing rotary tooling table, comprising:

[0044] The first station is used to perform visual inspection on the dynamic radar bracket;

[0045] The second station is used to spray an adhesion promoter on the dynamic radar bracket;

[0046] The third station is used to barcode the dynamic radar bracket;

[0047] Specifically, the device uses a white inkjet printer to print workpiece-related information on the workpiece.

[0048] The fourth station is used to dry the adhesion promoter of the dynamic radar bracket;

[0049] The fifth station is used to affix double-sided tape to the dynamic radar bracket;

[0050] The sixth workstation is used to compact the double-sided adhesive of the dynamic radar bracket.

[0051] In this embodiment, the rotary table is equipped with a 12-division rotary table, and each division contains a positioning fixture. The positioning fixture is specially made for the workpiece and is not universal. The fixtures of different workpieces match the positioning structure of the rotary table to achieve rapid disassembly and assembly. Among them, ① is the first station, ② is the second station, ④ is the third station, ③⑤⑥⑦⑧⑨ is the fourth station or reserved station, and ⑩ is the fifth station. For the sixth station, For reserved workstations.

[0052] Furthermore, each division of the rotary tooling table includes a positioning fixture to match the positioning structure of the turntable; wherein the positioning fixture is designed and made of different workpiece types, and the workpiece is a dynamic radar bracket.

[0053] Specifically, Figure 2As shown, taking the A19-R2 workpiece as an example, the workpiece has a more obvious bending in the A19 low-end model. The fixture makes the glue surface of the workpiece basically in a horizontal state. The positioning fixture is specially made for the workpiece and is not universal.

[0054] Furthermore, the first station includes:

[0055] The first camera, based on YOLOv8 and OCR technology, is used to detect and identify the workpiece coding area and extract the coding information;

[0056] The second camera, based on the DenseNet101 model, is used to classify the bar color category of the recognition artifact.

[0057] Specifically, the visual inspection equipment is equipped with two cameras at station 1 (loading station). Camera 1 identifies the model code of the workpiece to be inspected - if the workpiece is correct, the workbench is rotated; if the workpiece is wrong, an alarm is directly issued. Camera 2 is used to detect the color category of the workpiece.

[0058] The recognition method of camera 1 uses the deep learning YOLOv8 model to recognize the coded target, and then uses the OCR method to extract the coded information. The specific steps include:

[0059] Step 1, image acquisition: Camera 1 is responsible for real-time acquisition of images of workpieces on the production line, and the image data is automatically transmitted to the processing system.

[0060] Step 2, Target Detection (YOLOv8 Model): Use the YOLOv8 (You Only Look Once) target detection model to identify the coded area on the workpiece bar and other possible marked areas. YOLOv8 is the latest version of the YOLO series target detection model, which has high accuracy and high real-time performance, and can quickly detect the target position in the image and frame the target area.

[0061] Step 3, model extraction: The input image is extracted through the convolutional layer of the YOLOv8 network. Using the multi-scale feature layer to detect objects of different sizes, the model will output the location (bounding box) and category label of the object in the image. Object detection can be regarded as a regression problem, and its loss function is: L = L cls +L box +L obj Where: L cls is the loss of category classification, L box is the loss of bounding box prediction, L obj It is the loss of the target's existence.

[0062] OCR (Optical Character Recognition) code extraction:

[0063] After the coding area is detected, the OCR (Optical Character Recognition) technology is used to identify the coding information in the target area. The OCR model can convert the character information in the image into text and extract the code on the workpiece (such as serial number, batch number, etc.). OCR usually uses convolutional neural network (CNN) and sequence model (such as LSTM or CRNN) to recognize characters.

[0064] Preprocess the coded area, including grayscale, binarization and noise removal, to optimize the OCR recognition rate. Use the OCR model to recognize the coded information and output the text results for subsequent classification and recording.

[0065] Step 4, result output: Camera 1 uses YOLOv8 to identify the coded area and uses OCR to extract the coded information on the workpiece. The processing system matches the identified coded data with the database to verify the validity of the workpiece or classify the workpiece. Camera 2 uses the deep learning densenet101 model for classification and recognition.

[0066] Furthermore, the second workstation includes an automatic spray head, a cylinder lifting mechanism, and a cover body for preventing contamination of the adhesion promoter.

[0067] Specifically, Figure 3 As shown, the second workstation is provided with an adhesion promoter spraying device, which uses an automatic nozzle to spray the adhesion promoter onto the target area of ​​the workpiece and uses a cylinder for lifting. The cover can prevent the paint in the appearance area from being adhered to the adhesion promoter and prevent the adhesion promoter from polluting the external environment and threatening the health of workers.

[0068] Further, the fifth station includes:

[0069] The feeding area is used to feed the double-sided adhesive material using a roller, and different feeding amounts can be achieved by adjusting the rotation amount of the motor;

[0070] A cutting mechanism, used for cutting the double-sided adhesive tape using an unpowered roller cutter;

[0071] The suction mechanism is used to suck the double-sided adhesive tape using a suction cup, control the position of the suction cup through a linear module, and realize the lifting and lowering of the suction cup through a linear guide rail and a cylinder.

[0072] Specifically, Figure 4 As shown, the double-sided tape is fed in rolls, the feed rate is adjustable, it can match different workpieces, and it can automatically cut, adsorb and stick the double-sided tape.

[0073] like Figure 5 As shown, the loading area is two rolls of double-sided tape (symmetrical packaging), which are fed by rollers, and different feed amounts are achieved by adjusting the rotation amount of the motor.

[0074] like Figure 6 As shown, a suction cup is used to absorb double-sided tape, a linear module is used to control the position of the suction cup, and a linear guide and a cylinder are used to realize the lifting and lowering of the suction cup and prevent overpressure.

[0075] like Figure 7 As shown in the figure, the workpiece glue surface (A19 low configuration), if the glue is applied with an accuracy of 1mm, the length of the workpiece is basically the same, and the main width specifications are 30mm and 38mm. By controlling the feed amount of the roller and the movement of the suction cup linear module, the needs of double-sided tape of different lengths can be met. After some workpieces are leveled, they are parallelograms, and the double-sided tape will have excess glue edges. Some workpieces have bosses that cannot be covered by the double-sided tape.

[0076] like Figure 8 As shown, a cylinder and soft material are used to completely press the double-sided tape onto the workpiece.

[0077] Furthermore, the roller includes a front roller and a rear roller, the double-sided adhesive is fed through the rear roller, and the release paper is fed and pressed through the front roller, wherein the rear roller and the front roller use a synchronous belt to achieve the same rotation amount.

[0078] Specifically, the front roller feeds the release paper and presses the release paper to facilitate the suction cup to absorb the double-sided adhesive tape, and a non-powered roller is used to cut the double-sided adhesive tape, and the roller transverse movement mechanism is driven by a motor.

[0079] Furthermore, the sixth station is also used to take out the processed workpiece based on the linear module and the cylinder combination, and to visually inspect the processed workpiece again through the first station, and automatically sort it based on the visual inspection results.

[0080] Specifically, Fig. 9 As shown, a linear module and a cylinder combination are used to take out the processed workpieces, and the products are placed in the designated location according to the visual inspection results. Qualified products are placed on the packaging machine for bagging, and defective products are placed on the defective product conveyor line and manually processed uniformly after accumulation.

[0081] Furthermore, the workbench device also includes an electrical system and a safety light grid, as well as a three-color light for indicating a working status.

[0082] Furthermore, the tooling table device also includes a touch screen and a button box, which are used by workers to operate and select the workpiece type and control the operation of the tooling table device.

[0083] This embodiment uses the adhesion promoter spraying device on the second station to automatically spray the adhesion promoter to the target position of the workpiece. At the same time, the automatic double-sided tape bonding mechanism on the fifth station realizes the automatic cutting, adsorption and pasting operations of the double-sided tape, ensuring that the double-sided tape of the workpiece is accurately and firmly bonded. The automatic compaction during the double-sided tape bonding process further improves the bonding quality. This embodiment uses the visual inspection equipment and OCR technology on the first station to perform intelligent detection and recognition of the barcode information of the processed workpiece to ensure the clarity of the barcode and the accuracy of the content. The system also automatically detects the presence and quality of the double-sided tape on the workpiece, and identifies whether the double-sided tape is bonded completely and firmly.

[0084] The above are only preferred specific implementations of the present application, but the protection scope of the present application is not limited thereto. Any changes or substitutions that can be easily thought of by a person skilled in the art within the technical scope disclosed in the present application should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A tooling device for intelligent detection and automatic gluing of a dynamic radar bracket, characterized in that: The tooling table device is a multi-index rotary tooling table, comprising: The first station is used to perform visual inspection on the dynamic radar bracket; The second station is used to spray an adhesion promoter on the dynamic radar bracket; The third station is used to barcode the dynamic radar bracket; The fourth station is used to dry the adhesion promoter of the dynamic radar bracket; The fifth station is used to affix double-sided tape to the dynamic radar bracket; The sixth workstation is used to compact the double-sided adhesive of the dynamic radar bracket.

2. The tooling platform device for intelligent detection and automatic gluing of dynamic radar brackets according to claim 1 is characterized in that: Each division of the rotary tooling table includes a positioning fixture to match the positioning structure of the turntable; wherein the positioning fixture is designed and made of different workpiece types, and the workpiece is a dynamic radar bracket.

3. The tooling platform device for intelligent detection and automatic gluing of dynamic radar brackets according to claim 1 is characterized in that: The first station includes: The first camera, based on YOLOv8 and OCR technology, is used to detect and identify the workpiece coding area and extract the coding information; The second camera, based on the DenseNet101 model, is used to classify the bar color category of the recognition artifact.

4. The tooling platform device for intelligent detection and automatic gluing of dynamic radar brackets according to claim 1 is characterized in that: The second workstation includes an automatic spray head, a cylinder lifting mechanism, and a cover body for preventing adhesion promoter from being contaminated.

5. The tooling platform device for intelligent detection and automatic gluing of dynamic radar brackets according to claim 1 is characterized in that: The fifth station comprises: The feeding area is used to feed the double-sided adhesive material using a roller, and different feeding amounts can be achieved by adjusting the rotation amount of the motor; A cutting mechanism, used for cutting the double-sided adhesive tape using an unpowered roller cutter; The suction mechanism is used to suck the double-sided adhesive tape using a suction cup, control the position of the suction cup through a linear module, and realize the lifting and lowering of the suction cup through a linear guide rail and a cylinder.

6. The tooling platform device for intelligent detection and automatic gluing of dynamic radar brackets according to claim 5 is characterized in that: The roller comprises a front roller and a rear roller, the double-sided adhesive is fed through the rear roller, and the release paper is fed and pressed through the front roller, wherein the rear roller and the front roller use a synchronous belt to achieve the same rotation amount.

7. The tooling platform device for intelligent detection and automatic gluing of dynamic radar brackets according to claim 1 is characterized in that: The sixth station is also used to take out the processed workpiece based on the combination of the linear module and the cylinder, and to visually inspect the processed workpiece again through the first station, and automatically sort it based on the visual inspection results.

8. The tooling platform device for intelligent detection and automatic gluing of dynamic radar brackets according to claim 1 is characterized in that: It also includes the electrical system and safety light grid, as well as a three-color light to indicate the working status.

9. The tooling platform device for intelligent detection and automatic gluing of dynamic radar brackets according to claim 1 is characterized in that: It also includes a touch screen and a button box for workers to operate to select the type of workpiece and control the operation of the workbench device.

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