Automatic thickness measuring system for edge sealing process

Abstract

The invention discloses an automatic thickness measurement system for an edge sealing process. The system comprises a data collection module, a PLC module, an equipment processing module and a multi-machine cooperation module. An automatic system is designed, an automatic plate thickness measuring mechanism is installed at a machining feeding port, the thickness of a workpiece is automatically measured through a sensor and a specific algorithm, the system automatically completes a series of corresponding measuring and positioning operations, the operation efficiency of the system is improved, and the error rate of the device is reduced; meanwhile, a multi-batch machining system is designed, according to the machining process requirements of various plate thicknesses, the current plate thickness is machined firstly, when a workpiece of another plate thickness is machined, if machining of the current plate thickness is not completed, a material blocking mechanism of the edge banding machine intervenes in the material blocking action, and beam pressing positioning is automatically conducted after machining of the current plate thickness is completed; after positioning is completed, the blocking material is loosened for machining; and a multi-machine matching system is further designed, multiple machine types are adopted for operation, and the device is suitable for multi-machine-type and multi-style edge sealing equipment.

Description

Technical Field

[0001] The invention relates to the technical field of woodworking machinery, in particular to an automatic thickness measuring system for edge banding technology. Background Art

[0002] In the panel edge banding process, with the diversification of product processing, edge banding technology has become more and more the choice of the furniture industry. The current mainstream edge banding machine systems are mainly based on manual measurement and manual positioning. For the processing of diversified products, it is necessary to frequently measure the thickness of the workpiece manually and frequently drive the pressure beam system for pressure beam positioning. At present, in domestic furniture manufacturers, many edge banding machines process workpieces using single machines, and the operation of workpieces is often in sets, mainly in small batches. Only plates of the same workpiece thickness can be processed at a time. After each processing is completed, the machine needs to be stopped. When the second batch of incoming materials is processed, manual thickness measurement and pressure beam positioning are performed again, and the edge banding machine is started again to perform edge banding processing for the second batch of workpieces. This process consumes a lot of manpower and material resources, is labor-intensive, and has low work efficiency. The principle of the automatic thickness measurement system for edge banding process is to automatically identify the thickness of the plate through edge sensor technology. The system determines its thickness by measuring the size of the plate edge. The measurement results are automatically transmitted to the computer control system, which automatically switches the processing mode and parameters of the equipment, ensuring the equipment's work efficiency and stable production quality in the processing of plates of different thicknesses.

[0003] However, the traditional edge banding thickness measurement system cannot meet people's needs, and it has the following defects: First, there is no automated program designed. For commonly used edge banding systems, traditional manual adjustment, manual measurement, manual calculation input, etc. are mostly used, which reduces the system's operating efficiency and increases the error rate of the device. For various specifications of plates and materials, various parameters must be re-adapted, and the waste of time and cost consumption cannot be effectively controlled; second, there is no design for a multi-batch processing system. For the current edge banding thickness measurement system, the processing process is relatively simple, and it is very troublesome for multi-batch processing, and manual intervention of related units is required. , which increases the time consumption and the intervention of additional costs, and reduces the efficiency of the thickness measurement system to a certain extent; thirdly, there is no design for a multi-machine coordination system. At present, among domestic furniture manufacturers, many edge banding machines use single-machine operation to process workpieces, and the operation of workpieces is mostly in sets, mainly small batch processing. Only plates of the same thickness can be processed at a time. When plates of different thicknesses need to be processed, manual measurement is required again, parameters are manually input, and the pressure beam is manually positioned before batch edge banding processing of different plate thicknesses can be carried out. This process requires a lot of manpower and material resources, the labor intensity of workers is high, and the work efficiency is low, which cannot meet customer needs. Summary of the Invention

[0004] The object of the present invention is to provide an automatic thickness measurement system for edge banding process to solve the problems raised in the above background technology.

[0005] To achieve the above-mentioned objectives, the present invention provides the following technical solutions: an automatic thickness measurement system for edge banding process, comprising a data collection module, wherein the data collection module comprises a signal sensor module, the signal sensor module is data-connected to a travel switch module and a displacement sensor module, the displacement sensor module is electrically connected to a workpiece detection module, an automatic identification module, an information acquisition module, a data conversion module and a data transmission module, the travel switch module is electrically connected to the displacement sensor module, the workpiece detection module is data-connected to the automatic identification module, and the information acquisition module is data-connected to the data conversion module and the data transmission module.

[0006] As a further technical solution of the present invention, the data collection module is data-connected to a PLC module and a device processing module, and the PLC module establishes a data connection with the device processing module.

[0007] As a further technical solution of the present invention, the PLC module includes a data receiving module, the data receiving module is data-connected with a main interface module and an encoder module, the main interface module and the encoder module establish a data connection, the encoder module is data-connected with a programmable controller module and a central processing module, and the programmable controller module establishes a data connection with the central processing module.

[0008] As a further technical solution of the present invention, the encoder module is data-connected with a network communication module, the network communication module is data-connected with an IO and communication module, an MES module and a human-computer interaction module, the encoder module establishes data connections with the IO and communication module, the MES module and the human-computer interaction module, and the IO and communication module establishes data connections with the MES module and the human-computer interaction module.

[0009] As a further technical solution of the present invention, the programmable controller module includes a logic control module, the logic control module is data-connected with an information identification module, the information identification module is data-connected with an information integration module and a data judgment module, and the information integration module establishes a data connection with the data judgment module.

[0010] As a further technical solution of the present invention, the central processing module includes a data calculation module, the data calculation module is data-connected to an algorithm analysis module, the algorithm analysis module is data-connected to a conclusion generation module, a data closed-loop module and an instruction control module, and the conclusion generation module establishes a data connection with the data closed-loop module and the instruction control module.

[0011] As a further technical solution of the present invention, the equipment processing module includes a feeding and conveying module, and the feeding and conveying module is electrically connected to a material blocking unit module and a photoelectric sensing module, and the material blocking unit module establishes an electrical connection with the photoelectric sensing module.

[0012] As a further technical solution of the present invention, the photoelectric sensing module is electrically connected to a cylinder pushing module, the cylinder pushing module is electrically connected to a pressure beam unit module, a motor driving module and a pressure beam positioning module, and the pressure beam unit module establishes an electrical connection with the motor driving module and the pressure beam positioning module.

[0013] As a further technical solution of the present invention, the PLC module is electrically connected to a multi-machine coordination module, and the equipment processing module and the data collection module are both electrically connected to the multi-machine coordination module.

[0014] As a further technical solution of the present invention, the multi-machine coordination module includes a multi-machine operation module, which is electrically connected to a multi-batch processing module, a data intercommunication module and an instruction receiving module, and the multi-batch processing module establishes a data connection with the data intercommunication module and the instruction receiving module.

[0015] Compared with the prior art, the beneficial effects of the present invention are as follows: the present invention is designed with an automated system, and does not adopt traditional manual adjustment, manual measurement, manual calculation input, etc. The automatic plate thickness measurement mechanism is installed at the processing feed port, and the workpiece thickness is automatically measured through sensors and specific algorithms. The workpiece thickness data is automatically transmitted to the programmable controller of the edge banding machine for calculation. The system will drive the pressure beam closed-loop system with encoder feedback according to the workpiece thickness and the calculation result. The system will automatically complete a series of corresponding measurement and positioning operations, which improves the operating efficiency of the system and reduces the error rate of the device. The automatic plate thickness measurement mechanism is multifunctional and can be manually measured and operated, can work automatically in automatic mode, or can be completely shut down and used as an ordinary edge banding machine. For plates and materials of various specifications, it can effectively control the waste of time and cost consumption; at the same time, a multi-batch processing system is designed, and automatic plate thickness measurement is adopted. The mechanism identifies the thickness of the workpiece and collects the plate thickness data. The system will execute the corresponding pressure beam positioning action based on the identified plate thickness data. For various plate thickness processing requirements, the current plate thickness will be processed first. When a workpiece of another plate thickness is processed, such as when the current plate thickness has not been processed, the edge banding machine's material blocking mechanism intervenes to block the material. After the current plate thickness is processed, the pressure beam is automatically positioned. After the positioning is completed, the material blocking is released for processing, which reduces human intervention, reduces time waste and extra cost consumption, and improves the efficiency of the thickness measurement system to a certain extent. A multi-machine coordination system is also designed, which uses multiple models for operation. It has a wide range of applications and is suitable for multiple models and styles of edge banding equipment and application scenarios, especially for intelligent edge banding process equipment. Its mechanism is fixed at the edge banding machine feed port to realize automatic identification when feeding, which reduces the consumption of manpower and material resources to a certain extent and improves the work efficiency of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 It is a system structure diagram of the present invention;

[0017] Figure 2 is a system flow chart of the present invention;

[0018] Figure 3 It is a schematic diagram of the three-dimensional structure of the present invention;

[0019] Figure 4 is a process flow chart of the present invention;

[0020] Figure 5 It is a workflow diagram of the present invention;

[0021] Figure 6 It is a schematic diagram of the connection structure of the present invention.

[0022] In the figure: 1. Data collection module; 11. Signal sensor module; 12. Travel switch module; 13. Displacement sensor module; 14. Workpiece detection module; 15. Automatic identification module; 16. Information acquisition module; 17. Data conversion module; 18. Data transmission module; 2. PLC module; 21. Data receiving module; 22. Main interface module; 23. Programmable controller module; 231. Logic control module; 232. Information identification module; 233. Information integration module; 234. Data judgment module; 24. Central processing module; 241. Data calculation module; 242. Algorithm analysis module; 2 43. Conclusion generation module; 244. Data closed-loop module; 245. Command control module; 25. Encoder module; 26. Network communication module; 27. IO and communication module; 28. MES module; 29. ​​Human-computer interaction module; 3. Equipment processing module; 31. Feeding and conveying module; 32. Material blocking unit module; 33. Photoelectric sensing module; 34. Cylinder pushing module; 35. Pressure beam unit module; 36. Motor drive module; 37. Pressure beam positioning module; 4. Multi-machine coordination module; 41. Multi-machine operation module; 42. Multi-batch processing module; 43. Data intercommunication module; 44. Command receiving module. DETAILED DESCRIPTION

[0023] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0024] Please see the attached Figure 1 -Attached Figure 6, an embodiment of the present invention provides: an automatic thickness measurement system for edge banding process, including a data collection module 1, the data collection module 1 includes a signal sensor module 11, the signal sensor module 11 is data-connected with a travel switch module 12 and a displacement sensor module 13, the displacement sensor module 13 is electrically connected with a workpiece detection module 14, an automatic identification module 15, an information acquisition module 16, a data conversion module 17 and a data transmission module 18, the travel switch module 12 is electrically connected to the displacement sensor module 13, the workpiece detection module 14 is data-connected with the automatic identification module 15, the information acquisition module 16, the data conversion module 17 and the data transmission module 18, The data collection module 16 establishes a data connection with the data conversion module 17 and the data transmission module 18; the data collection module 1 is connected to the PLC module 2 and the equipment processing module 3, and the PLC module 2 establishes a data connection with the equipment processing module 3. The data collection module 1 is used to complete the collection of various workpiece parameters. The PLC module 2 is a digital operation electronic system designed for application in an industrial environment. It uses a programmable memory to store instructions for performing operations such as logical operations, sequential control, timing, counting and arithmetic operations. It controls various types of operations through digital or analog input and output. Mechanical equipment or production process, the equipment processing module 3 is used to control the various components of the equipment to complete various instructions; the PLC module 2 includes a data receiving module 21, the data receiving module 21 is connected to the main interface module 22 and the encoder module 25, the main interface module 22 and the encoder module 25 establish a data connection, the encoder module 25 is connected to the programmable controller module 23 and the central processing module 24, the programmable controller module 23 and the central processing module 24 establish a data connection; the encoder module 25 is connected to the network communication module 26, the network communication module 26 is connected to the IO and communication Module 27, MES module 28 and human-computer interaction module 29, the encoder module 25 establishes data connections with the IO and communication module 27, the MES module 28 and the human-computer interaction module 29, and the IO and communication module 27 establishes data connections with the MES module 28 and the human-computer interaction module 29; the programmable controller module 23 includes a logic control module 231, the logic control module 231 is data-connected with the information identification module 232, the information identification module 232 is data-connected with the information integration module 233 and the data judgment module 234, and the information integration module 233 establishes data connections with the data judgment module 234;The central processing module 24 includes a data operation module 241, the data operation module 241 is connected to the algorithm analysis module 242, the algorithm analysis module 242 is connected to the conclusion generation module 243, the data closed loop module 244 and the instruction control module 245, the conclusion generation module 243 establishes a data connection with the data closed loop module 244 and the instruction control module 245, and during the operation of the system, the data is received by the data receiving module 21, the data is preliminarily processed by the programmable controller module 23, the system operation is set by the logic control module 231, and the data is identified by the information recognition module 232 and invalid data is processed. The rows are eliminated, and the identified data are integrated through the information integration module 233, and the data is classified into different types according to its properties through the data judgment module 234, which is convenient for the operation of subsequent calculations. After completing the preliminary processing of the data, the data is sent to the central processing module 24, and the data is calculated according to its different operation logic through the data operation module 241 and the algorithm analysis module 242, and the operation results are analyzed. The analysis results are summarized and concluded through the conclusion generation module 243, and the operation is closed through the data closed loop module 244. The device is instructed through the instruction control module 245 to complete the operations required for the conclusion. The encoder module 25 is used to convert the mechanical movement The displacement, speed, angle, etc. are converted into electrical signals for communication, transmission and storage. The network communication module 26 is used for network connection and user communication. The IO and communication module 27 is used to process the signal and convert the input signal sent by the external device, such as temperature, pressure, light sensitivity and other sensor signals, into digital or analog signals for use by the computer system or control system, and convert the output signal generated by the computer system or control system into the form required by the external device. The MES module 28 is used to monitor the generation process to ensure the safe and effective operation of the equipment. The human-computer interaction module 29 is used to complete the interchange between automation and manual operation to realize the multifunctionality of the equipment. The equipment processing module 3 includes the feeding and conveying module 3 1. The material-feeding and conveying module 31 is electrically connected to a material-blocking unit module 32 and a photoelectric sensing module 33. The material-blocking unit module 32 is electrically connected to the photoelectric sensing module 33. The photoelectric sensing module 33 is electrically connected to a cylinder pushing module 34. The cylinder pushing module 34 is electrically connected to a pressure beam unit module 35, a motor driving module 36 and a pressure beam positioning module 37. The pressure beam unit module 35 is electrically connected to the motor driving module 36 and the pressure beam positioning module 37. The PLC module 2 is electrically connected to a multi-machine coordination module 4, and the equipment processing module 3 and the data collection module 1 are both electrically connected to the multi-machine coordination module 4. The multi-machine coordination module 4 is used to realize the control of multiple devices, thereby reducing time consumption.The multi-machine coordination module 4 includes a multi-machine operation module 41. This module is electrically connected to a multi-batch processing module 42, a data intercommunication module 43, and a command receiving module 44. The multi-batch processing module 42 establishes a data connection with the data intercommunication module 43 and the command receiving module 44. During system operation, the multi-machine operation module 41 on the multi-machine coordination module 4 can detect multiple devices for various types of plate materials. The data intercommunication module 43 enables data sharing across multiple devices, and the command receiving module 44 receives commands from the PLC module 2.

[0025] Working principle: When the present invention is used to automatically measure the thickness of edge banding, the user is first logged in through the main interface module 22 on the PLC module 2 to authenticate the user. After completing the login, the motor drive module 36 is used to make the equipment run in mode, and the required workpiece is conveyed to the equipment processing module 3 through the feeding and conveying module 31. The workpiece passing through the edge banding line is detected by the workpiece detection module 14 on the data collection module 1, and the signal sensor module 11 and the photoelectric sensing module 33 are triggered to define it as the first plate. At this time, the blocking unit module 32 is working and does not allow the workpiece to enter. The motion recognition module 15 identifies the workpiece and intervenes in the action, causing part of the cylinder push module 34 to push down and part of the cylinder push module 34 to retract, driving the pressure beam unit module 35 to move. This process is completed within 1.5 seconds. During this process, the system collects workpiece information through the data collection module 1, detects the workpiece through the travel switch module 12, the displacement sensor module 13 and the workpiece detection module 14, and summarizes the detection information through the information acquisition module 16, and converts the information into the required data format through the data conversion module 17, and feeds the processed data back to the data transmission module 18. The PLC module 2 receives the feedback data through the data receiving module 21, performs preliminary processing on the data through the programmable controller module 23, sets the system logic operation through the logic control module 231, identifies each data and eliminates invalid data through the information identification module 232, integrates the identified data through the information integration module 233, and classifies the data into different types according to its nature through the data judgment module 234 to facilitate the subsequent calculation. After completing the preliminary processing of the data, the data is sent to the central processing module 24. The data operation module 241 and the algorithm analysis module 242 calculate the data according to their different operation logics and analyze the operation results. The conclusion generation module 243 summarizes the analysis results and draws a conclusion. The data closed loop module 244 closes the operation and the instruction control module 245 transmits the instruction to the equipment to complete the operation required for the conclusion. After receiving the feedback data, the system immediately compares it with the actual value of the pressure beam positioning module 37. When the comparison is less than ±0.3mm, the material stop unit module 32 rises normally to perform the normal board placement and edge sealing operation. When the comparison is greater than or equal to ±0.When the edge banding machine is 3mm thick, the blocking unit module 32 is always blocked. After the panels in the edge banding machine have been emptied, the pressure beam positioning module 37 is used to automatically position the pressure beam. When the positioning is consistent with the measurement result, the pressure beam positioning is completed. After the pressure beam positioning is completed, the blocking unit module 32 is automatically raised. At this time, the processing can be started according to the normal procedure. For the processing process, the system will recognize the first panel and whether there are panels in the equipment that have not been processed. When the measurement parameter is set to 5 meters (adjustable), the two panels will be automatically measured every 5 meters. When the measurement results are different, repeat the above steps. When the interval between the two panels exceeds 5 meters, The second batch of workpieces "Batch 2 workpieces" is considered to be processed and the system is monitored by the multi-batch processing module 42 on the multi-machine coordination module 4. The above steps are repeated until all the panels are processed. When the same batch of panels is processed normally, there are abnormal panels with slight differences that affect the processing quality. It is difficult for humans to identify and control them. Inadvertently entering the edge banding line may cause unnecessary losses. After the system recognizes the first panel and whether there are panels in the equipment that have not been processed, the measurement parameters can be set to 2 meters (adjustable), that is, the two panels will be monitored every 2 meters. The system performs a single measurement, which can detect abnormal plates within the same batch. If the measurement results differ, repeat the above steps until all plates have been tested. For multiple types of plates, the multi-machine operation module 41 on the multi-machine coordination module 4 can be used to perform multiple device tests. Data sharing between multiple devices is achieved through the data intercommunication module 43, and instructions from the PLC module 2 are received through the instruction receiving module 44. During use, the encoder module 25 converts mechanical motion information such as displacement, speed, and angle into electrical signals for communication, transmission, and storage. Network communication module 26 connects to the network for user communication. The IO and communication module 27 processes signals, converting input signals from external devices, such as temperature, pressure, and light-sensitive sensor signals, into digital or analog signals for use by the computer system or control system. Output signals generated by the computer system or control system are converted into the format required by the external device. The MES module 28 monitors the generation process to ensure safe and efficient operation of the equipment. The human-machine interaction module 29 allows for the interchange between automated and manual operations, realizing the multifunctionality of the equipment.

[0026] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above and that the invention can be embodied in other specific forms without departing from the spirit or essential characteristics of the invention. Therefore, the embodiments should be considered in all respects as illustrative and non-restrictive, and the scope of the invention is defined by the appended claims, not the foregoing description, and all variations within the meaning and range of equivalents of the claims are intended to be included therein. Any reference sign in a claim should not be construed as limiting the claim to which it relates.

Claims

1. An automatic thickness measurement system for edge banding process, comprising a data collection module (1), characterized in that: The data collection module (1) comprises a signal sensor module (11), the signal sensor module (11) is data-connected to a travel switch module (12) and a displacement sensor module (13), the displacement sensor module (13) is electrically connected to a workpiece detection module (14), an automatic identification module (15), an information collection module (16), a data conversion module (17) and a data transmission module (18), the travel switch module (12) is electrically connected to the displacement sensor module (13), the workpiece detection module (14) is data-connected to the automatic identification module (15), and the information collection module (16) is data-connected to the data conversion module (17) and the data transmission module (18).

2. The automatic thickness measurement system for edge banding process according to claim 1, characterized in that: The data collection module (1) is data-connected to a PLC module (2) and a device processing module (3), and a data connection is established between the PLC module (2) and the device processing module (3).

3. The automatic thickness measurement system for edge banding process according to claim 2, characterized in that: The PLC module (2) comprises a data receiving module (21), the data receiving module (21) is data-connected to a main interface module (22) and an encoder module (25), the main interface module (22) and the encoder module (25) are data-connected, the encoder module (25) is data-connected to a programmable controller module (23) and a central processing module (24), the programmable controller module (23) and the central processing module (24) are data-connected.

4. The automatic thickness measurement system for edge banding process according to claim 3 is characterized in that: The encoder module (25) is data-connected to a network communication module (26), and the network communication module (26) is data-connected to an IO and communication module (27), an MES module (28) and a human-machine interaction module (29); the encoder module (25) is data-connected to the IO and communication module (27), the MES module (28) and the human-machine interaction module (29); and the IO and communication module (27) is data-connected to the MES module (28) and the human-machine interaction module (29).

5. The automatic thickness measurement system for edge banding process according to claim 3 is characterized in that: The programmable controller module (23) comprises a logic control module (231), the logic control module (231) is data-connected to an information identification module (232), the information identification module (232) is data-connected to an information integration module (233) and a data judgment module (234), and the information integration module (233) establishes a data connection with the data judgment module (234).

6. The automatic thickness measurement system for edge banding process according to claim 3 is characterized in that: The central processing module (24) comprises a data operation module (241), the data operation module (241) is data-connected to an algorithm analysis module (242), the algorithm analysis module (242) is data-connected to a conclusion generation module (243), a data closed-loop module (244) and an instruction control module (245), and the conclusion generation module (243) is data-connected to the data closed-loop module (244) and the instruction control module (245).

7. The automatic thickness measurement system for edge banding process according to claim 2 is characterized in that: The equipment processing module (3) comprises a material feeding and conveying module (31), to which a material blocking unit module (32) and a photoelectric sensing module (33) are electrically connected, and the material blocking unit module (32) and the photoelectric sensing module (33) are electrically connected.

8. The automatic thickness measurement system for edge banding process according to claim 7, characterized in that: The photoelectric sensing module (33) is electrically connected to a cylinder pushing module (34), the cylinder pushing module (34) is electrically connected to a pressure beam unit module (35), a motor driving module (36) and a pressure beam positioning module (37), and the pressure beam unit module (35) is electrically connected to the motor driving module (36) and the pressure beam positioning module (37).

9. The automatic thickness measurement system for edge banding process according to claim 2, characterized in that: The PLC module (2) is electrically connected to a multi-machine coordination module (4), and the equipment processing module (3) and the data collection module (1) are both electrically connected to the multi-machine coordination module (4).

10. The automatic thickness measurement system for edge banding process according to claim 9, characterized in that: The multi-machine coordination module (4) comprises a multi-machine operation module (41), the multi-machine operation module (41) being electrically connected to a multi-batch processing module (42), a data intercommunication module (43) and an instruction receiving module (44), and the multi-batch processing module (42) establishing a data connection with the data intercommunication module (43) and the instruction receiving module (44).

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