Finished part identifying and tagging system

Abstract

The invention relates to the technical field of part identification and tagging, in particular to a finished part identification and tagging system, which comprises a data acquisition and cutting optimization module, an equipment feeding mechanism carries a 3D scanner to acquire the size of a raw material plate in real time, and the size comprises the length L, the width W, the thickness T and the surface texture trend; calculating an optimal layout coordinate set and a cutting path sequence by taking maximization of the plate utilization rate as a target function based on the target plate size set; according to the system, the optimal cutting path and the optimal cutting positions of different small-size plates on a raw material plate can be automatically calculated according to the size data of the to-be-machined plate, meanwhile, the subsequent bending steps of different sizes (according to the machining requirement of plate bending) are calculated, and then the cut small plates can be conveyed to the bending procedure through separation; and the bending system scans the two-dimensional code to know the processing content and steps of the plate, and deep bending processing is carried out.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of part identification coding, in particular to a finished part identification coding system. BACKGROUND

[0002] In the production and processing of parts, laser cutting of raw material plates is one of the key steps. The plates are laser cut according to the built-in information data of the equipment. The laser cutting mainly relies on the setting of the built-in data of the equipment, which needs to be repeatedly adjusted and corrected manually during the processing. In addition, the plate position is prone to deviation during the laser cutting process due to the influence of the plate feeding action, which affects the subsequent processing precision of the plates. Manual intervention not only affects the processing efficiency of the products, but also is not conducive to the automatic production of the equipment. Meanwhile, in the prior art, the cutting and bending processes are independent and rely on manual recording or independent systems to transfer processing parameters (such as bending angles and cutting coordinates), and the error rate of information transmission is as high as 5%, leading to batch rework. SUMMARY

[0003] The present application aims to provide a finished part identification coding system to solve the problems raised in the background.

[0004] To achieve the above-mentioned purpose, the present application provides the following technical solution: a finished part identification coding system, comprising: Data acquisition and cutting optimization module: The equipment feeding mechanism is equipped with a 3D scanner to collect the size of the raw material plate in real time, including length L, width W, thickness T and surface texture direction; Based on the target plate size set To maximize the utilization rate of the plate The target function is to calculate the optimal layout coordinate set And the cutting path sequence ; The constraint conditions include: minimum cutting distance , and the texture direction is parallel to the bending line direction; Bending process pre-computation module: For each sub-plate Generate a set of bending parameters; Wherein is the thickness compensation function, determined by the grain direction of the plate; ; Anti-damage labeling execution module: Based on the cutting path And the bending line set Computing the two-dimensional code paste safety zone; In the suction cup transport assembly installed pneumatic labeling head, with positioning accuracy ± 0.1mm will Paste to Inside; Process execution module: Through the dust sorting waste sorting assembly after cutting sub-plate, bending equipment scanning After automatic matching die And execute bending operation.

[0005] Preferably, the data acquisition and cutting optimization module: 3D scanner Keyence LJ-V7300 type, point cloud registration error ≤0.3mm; Cutting path planning multiplexing multi-axis laser cutter head motion trajectory algorithm, path optimization response time ≤0.5s.

[0006] Preferably, the bending process pre-computing module: Thickness compensation function: , T is the thickness, The width of the plate; Two-dimensional code Size is 10*10mm, data capacity ≥500 bytes.

[0007] Preferably, the anti-damage labeling execution module: Safety zone Priority in the center of gravity area of sub-plate; Label base material is high temperature ceramic, temperature resistance > 300℃, adhesive is silicon-based heat resistant glue.

[0008] Preferably, the process execution module further comprises: Bending machine with visual sensor, trigger redundant communication protocol when scanning code fails, call backup parameters from the cloud .

[0009] Preferably, it further comprises a dynamic calibration unit: Before labeling, check the plate position twice, compensate for transmission error, compensation range ± 2mm; Laser range finder real-time monitoring layer height deviation .

[0010] Preferably, the radius compensation formula of the bending process pre-computing module is: .

[0011] A finished part identification coding method, comprising: Step S1: The raw material plate is conveyed to the scanning station by the feeding mechanism, and the L, W, T and texture data are collected by the 3D scanner; Step S2: Calculate the optimal nesting and bending parameters Generate QR code ; Step S3: Based on the cutting path and bending line set Solving for the safe region ; Step S4: Before the suction cup transfer assembly is attached to the sub-board, it will... Paste to Inside; Step S5: After laser cutting, the bending machine scans the code to obtain the information. It automatically switches molds to perform bending.

[0012] Preferably, if the plate is made of high-strength steel with a tensile strength ≥ 500 MPa, then Increase compensation amount If the angle between the grain direction and the bending line is greater than 10°, an early warning will be triggered and adjustments will be made. ; If the sheet material is a bent part. ,but The constraint is increased to ≥15mm, and the center of the safety zone is ≥50mm from the edge of the board.

[0013] Preferably, the pneumatic labeling head is in Labeling is completed at a speed of 0.1s per piece. After labeling, the readability of the QR code is verified by CCD vision. If scanning fails, the cloud backup data is matched based on the outline of the sub-board.

[0014] Compared with the prior art, the beneficial effects of the present invention are: This system can automatically calculate the optimal cutting path and the best cutting position of different small-sized boards on the raw material board based on the size data of the board to be processed. At the same time, it calculates the subsequent bending steps for different sizes (according to the processing requirements of the board bending). The cut small boards can then be transported to the bending process by separation. The bending system scans the QR code to know the processing content and steps of the board and performs deep bending processing. The system collects board data and automatically calculates the distribution position of different sized boards on the raw material board, automatically calculates the optimal cutting path, and automatically calculates the subsequent bending data and bending steps for different sized boards. Then, the above information is integrated into a QR code and pasted on the corresponding position on the raw material board. Attached Figure Description

[0015] In order to more clearly illustrate the technical solutions in the specific embodiments or prior art of the present application, the drawings required to be used in the description of the specific embodiments or prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor on the basis of these drawings.

[0016] Fig. 1 Flow chart of the finished part identification and code assignment method of the present application; Fig. 2 Block diagram of the finished part identification and code assignment system of the present application. Specific embodiments

[0017] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only some embodiments of the present application, not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0018] Please refer to Figs. 1-2 , the present application provides a technical solution: A finished part identification and code assignment system, comprising: Data acquisition and cutting optimization module: The 3D scanner is carried on the equipment feeding mechanism to collect the size of the raw material plate in real time, including length L, width W, thickness T and surface texture direction; Based on the target plate size set , to maximize the utilization rate of the plate , the target function is calculated as The optimal layout coordinate set and cutting path sequence ; The constraint conditions include: minimum cutting distance , and the texture direction is parallel to the bending line direction; Bending process pre-computation module: Generate a bending parameter set for each sub-plate ; , wherein is the thickness compensation function, determined by the grain direction of the plate; ; Anti-damage label execution module: Based on the cutting path and the bending line set , calculate the two-dimensional code pasting safety area; In the suction cup conveying assembly, a pneumatic labeling head is installed to paste to the inner side of the plate with a positioning accuracy of ±0.1mm; The process execution module: The cut plate is separated by a dust sorting and waste discharge assembly, and the bending equipment scans and automatically matches the mold and performs bending operation.

[0019] Specifically, in the data acquisition and cutting optimization module: the 3D scanner adopts Keyence LJ-V7300 model, and the point cloud registration error is ≤0.3mm; The cutting path planning reuses the motion trajectory algorithm of the multi-axis laser cutter head, and the path optimization response time is ≤0.5s.

[0020] Specifically, in the bending process pre-computation module: The thickness compensation function is: T is the thickness, and W is the width of the plate; The size of the two-dimensional code is 10×10mm, and the data capacity is ≥500 bytes.

[0021] Specifically, in the anti-damage labeling execution module: The safety area is preferentially located in the center of gravity area of the plate; The label substrate is high-temperature ceramic, and the temperature resistance is >300℃. The adhesive is silicon-based heat-resistant glue.

[0022] Specifically, the process execution module further comprises: The bending machine is equipped with a visual sensor, and when the code scanning fails, a redundant communication protocol is triggered to retrieve backup parameters from the cloud .

[0023] Specifically, it further comprises a dynamic calibration unit: The plate position is verified twice before labeling, and the transmission error is compensated, with a compensation range of ±2mm; The laser range finder monitors the height deviation in real time .

[0024] Specifically, the radius compensation formula of the bending process pre-computation module is: .

[0025] A finished part identification coding method, comprising: ​Step S1: The raw material plate is conveyed to the scanning station by the feeding mechanism, and the L, W, T and texture data are collected by the 3D scanner; Step S2: Calculate the optimal nesting and bending parameters Generate QR code ; Step S3: Based on the cutting path and bending line set Solving for the safe region ; Step S4: Before the suction cup transfer assembly is attached to the sub-board, it will... Paste to Inside; Step S5: After laser cutting, the bending machine scans the code to obtain the information. It automatically switches molds to perform bending.

[0026] Specifically, if the plate is made of high-strength steel with a tensile strength ≥ 500 MPa, then Increase compensation amount If the angle between the grain direction and the bending line is greater than 10°, an early warning will be triggered and adjustments will be made. ; If the sheet material is a bent part. ,but The constraint is increased to ≥15mm, and the center of the safety zone is ≥50mm from the edge of the board.

[0027] Specifically, the pneumatic labeling head is in Labeling is completed at a speed of 0.1s per piece. After labeling, the readability of the QR code is verified by CCD vision. If scanning fails, the cloud backup data is matched based on the outline of the sub-board.

[0028] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A finished parts identification and coding system, characterized in that, include: Data acquisition and segmentation optimization module: The equipment's feeding mechanism is equipped with a 3D scanner to collect the dimensions of the raw material plate in real time, including length L, width W, thickness T, and surface texture direction; Based on the target sheet size set To maximize the utilization rate of the board material Given the objective function, calculate the optimal set of layout coordinates. and cutting path sequence ; Constraints include: minimum cutting spacing And texture direction Parallel to the direction of the bend line; Bending process pre-calculation module: For each sub-board Generate a set of bending parameters; ,in For thickness compensation function, Determined by the grain orientation of the substrate; ； Damage-resistant labeling execution module: Based on cutting path and bending line set Calculate the safe area for pasting the QR code; A pneumatic labeling head is added to the suction cup handling assembly to achieve a positioning accuracy of ±0.1mm. Paste to Inside; Process execution module: After being separated and cut by a dust extraction and waste sorting component, the bending equipment scans the sub-sheets. Automatic mold matching afterwards And perform the bending operation.

2. The finished part identification and coding system according to claim 1, characterized in that, In the data acquisition and cutting optimization module: the 3D scanner used is a Keyence LJ-V7300 model, with a point cloud registration error ≤0.3mm; The cutting path planning reuses the motion trajectory algorithm of the multi-axis laser cutter head, and the path optimization response time is ≤0.5s.

3. The finished part identification and coding system according to claim 1, characterized in that, In the bending process pre-calculation module: Thickness compensation function: T represents the thickness. The width of the sheet material; QR code The dimensions are 10×10mm, and the data capacity is ≥500 bytes.

4. The finished part identification and coding system according to claim 1, characterized in that, In the anti-damage labeling execution module: safe zone Prioritize locations in the center-of-grain area of ​​the sub-board; The label substrate is high-temperature ceramic with a temperature resistance of >300℃, and the adhesive is a silicone-based heat-resistant adhesive.

5. The finished part identification and coding system according to claim 1, characterized in that, The process execution module also includes: The bending machine is equipped with a vision sensor. When scanning fails, a redundant communication protocol is triggered to retrieve backup parameters from the cloud. .

6. The finished part identification and coding system according to claim 1, characterized in that, It also includes a dynamic calibration unit: Before labeling, the position of the board is checked a second time to compensate for transmission errors, with a compensation range of ±2mm. Laser rangefinder monitors floor height deviation in real time .

7. The finished part identification and coding system according to claim 1, characterized in that, The radius compensation formula of the bending process pre-calculation module is: 。 8. A method for identifying and coding finished parts, applied to any one of the systems of claims 1-7, characterized in that, include: Step S1: The raw material plate is conveyed to the scanning station by the feeding mechanism, and the L, W, T and texture data are collected by the 3D scanner; Step S2: Calculate the optimal nesting and bending parameters Generate QR code ; Step S3: Based on the cutting path and bending line set Solving for the safe region ; Step S4: Before the suction cup transfer assembly is attached to the sub-board, it will... Paste to Inside; Step S5: After laser cutting, the bending machine scans the code to obtain the information. It automatically switches molds to perform bending.

9. The method for identifying and coding finished parts according to claim 8, characterized in that, If the plate is made of high-strength steel with a tensile strength ≥ 500 MPa, then Increase compensation amount If the angle between the grain direction and the bending line is greater than 10°, an early warning will be triggered and adjustments will be made. ; If the sheet material is a bent part. ,but The constraint is increased to ≥15mm, and the center of the safety zone is ≥50mm from the edge of the board.

10. The method for identifying and coding finished parts according to claim 8, characterized in that, Pneumatic labeling head Labeling is completed at a speed of 0.1s per piece. After labeling, the readability of the QR code is verified by CCD vision. If scanning fails, the cloud backup data is matched based on the outline of the sub-board.

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