Timber feeding system and method based on machine vision

Abstract

The invention discloses a timber feeding system and method based on machine vision, the system comprises a vision system, a numerical control positioning mechanism, an automatic feeding system, a human-computer interaction interface and a self-adaption and learning module, and automatic feeding, automatic scanning, automatic straightening and automatic sawing of timber are achieved through the method. By means of the wood feeding system and method based on machine vision, full-automatic wood feeding is achieved, the machining precision is improved through visual system datamation processing, the plates are automatically straightened and then fed into the optimal saw for saw cutting, and the working efficiency is improved.

Description

Technical Field

[0001] The invention relates to the fields of intelligent manufacturing and machine vision, and in particular to a wood feeding system and method based on machine vision. Background Art

[0002] In modern manufacturing, wood processing is an important link. With the development of science and technology, more and more wood processing equipment has begun to adopt automation technology to improve production efficiency and processing accuracy. Among them, visual inspection technology and CNC positioning technology are two important technical fields, which are applied to various links of wood processing, such as wood peeling, optimized sawing of boards, etc.

[0003] In the existing technology, wood peeling and board optimization sawing are mainly achieved by longitudinal optimization sawing. In terms of feeding, there are mainly two ways: 1. Workers manually load the wood, manually adjust the laser marking, manually adjust the position of the wood, and then send it to the optimal saw for cutting; 2. Use the automatic feeder to send the wood to the designated position, manually adjust the laser marking, manually adjust the position of the wood, and then send it to the optimal saw for cutting.

[0004] Both feeding methods require manual intervention, which not only increases the workload, but is also easily affected by human factors, resulting in low processing accuracy and low efficiency; the wood must be aligned by the naked eye, which requires labor costs and is prone to misjudgment, affecting processing quality; when dealing with large-scale production, it is often unable to meet the needs of rapid response and efficient operation of the production line. Summary of the invention

[0005] The purpose of the present invention is to solve the above-mentioned technical problems and to design a wood feeding system and method based on machine vision.

[0006] A wood feeding system based on machine vision, comprising a vision system, a numerical control positioning mechanism, and an automatic feeding system; The visual system scans the wood entering the system, obtains the wood's board position and defect information, and processes the information into data; The numerical control positioning mechanism automatically aligns the board according to the wood data acquired by the visual system; The automatic feeding system integrates a visual system and a numerical control positioning mechanism to achieve automatic feeding, automatic scanning, automatic alignment and automatic sawing of wood.

[0007] Further, a wood feeding system based on machine vision, wherein the vision system uses industrial cameras and image processing algorithms to perform high-precision imaging and identification of wood; The numerical control positioning mechanism adopts a servo motor and a precision mechanical structure to achieve accurate positioning and adjustment of the plate.

[0008] Further, a wood feeding system based on machine vision, the automatic feeding system also includes a human-machine interaction interface, an adaptive and learning module; The human-machine interaction interface satisfies the human-machine interaction of operators inputting parameters, checking status and performing control; The adaptive and learning module automatically adjusts parameters and strategies according to actual production conditions and environmental changes.

[0009] A numerical control positioning mechanism device, comprising a loading table frame, a conveying chain assembly, a chain motor assembly, a reference positioning assembly, a baffle plate assembly, a conveying roller assembly, a servo positioning assembly, and an upper pressure roller assembly; The chain motor assembly drives the parallel conveyor chain assemblies to drive the wood to move horizontally; The baffle plate assembly is arranged at the front end of the loading platform frame, and the baffle plate assembly is extended and retracted by the cylinder according to the signal to achieve the effect of controlling the feeding rhythm; The reference positioning assembly is arranged at the rear end of the conveying chain assembly, and the reference positioning assembly is located behind the travel switch; The conveying roller assembly is arranged above the loading platform frame, and the wood is conveyed through the conveying roller assembly; The servo positioning assembly corresponds to the reference positioning assembly, and the upper pressing roller assembly compacts the wood.

[0010] A wood feeding method based on machine vision comprises the following sub-steps: S1: The wood enters the scanning range of the visual system, and the positioning reference point is selected according to different lengths; S2: The visual system scans the wood, obtains the wood's board position and defect information, and processes the information into data; S3: The CNC positioning mechanism activates the corresponding servo positioning component according to the reference positioning component activated when the visual system is positioned, and moves the servo according to the result of the visual inspection planning to align the plate; S4: After the CNC positioning mechanism is aligned, the conveyor chain assembly is lowered and the plate is sent to the subsequent process through the conveyor roller assembly.

[0011] Furthermore, in a wood feeding method based on machine vision, step S2 includes the following sub-steps: S21: The visual system takes pictures and samples, stitches the images taken by multiple cameras, and performs model comparison after the stitching is completed; S22: graying and filtering the acquired image, and extracting the position and defect information of the wood skin through edge detection and morphological processing algorithms; S23: The visual system obtains the positioning dimensions through calculation, makes plans according to customer needs, converts the planning results into digital signals, and transmits them to the CNC positioning mechanism.

[0012] Beneficial effects of the present invention: 1. High degree of automation: Through the combination of visual system and CNC positioning and conveying system, the automation of wood peeling, positioning and optimal sawing is realized, which reduces manual intervention and improves production efficiency; 2. High processing accuracy: It uses visual inspection technology to accurately identify the position and defects of the wood skin, automatically straighten the board according to the data, improve the processing accuracy and reduce misjudgment; 3. Strong adaptability: According to different wood types and specifications, the feeding parameters are automatically adjusted, which has strong adaptability, meets the needs of large-scale production, and improves the rapid response and efficient operation of the production line; 4. Reduce labor intensity: No need for manual loading, manual adjustment of laser marking, manual adjustment of wood position, etc., which reduces labor intensity and improves the working environment. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1 This is the system structure diagram.

[0014] Figure 2 This is the device structure diagram a.

[0015] Figure 3 This is the device structure diagram b.

[0016] Figure 4 The flowchart of the method is shown in FIG.

[0017] In the figure, 1-feeding table frame, 2-conveying chain assembly, 3-chain motor assembly, 4-reference positioning assembly, 5-blocking plate assembly, 6-conveying roller assembly, 7-servo positioning assembly, 8-upper pressure roller assembly. DETAILED DESCRIPTION

[0018] The present invention is further described below, but the protection scope of the present invention is not limited to the following description.

[0019] As attached Figure 1 As shown, a wood feeding system based on machine vision includes a vision system, a numerical control positioning mechanism, and an automatic feeding system; The visual system scans the wood entering the system, obtains the wood's board position and defect information, and processes the information into data; The numerical control positioning mechanism automatically aligns the board according to the wood data acquired by the visual system; The automatic feeding system integrates a visual system and a numerical control positioning mechanism to achieve automatic feeding, automatic scanning, automatic alignment and automatic sawing of wood.

[0020] Further, a wood feeding system based on machine vision, wherein the vision system uses industrial cameras and image processing algorithms to perform high-precision imaging and identification of wood; The numerical control positioning mechanism adopts a servo motor and a precision mechanical structure to achieve accurate positioning and adjustment of the plate.

[0021] Further, a wood feeding system based on machine vision, the automatic feeding system also includes a human-machine interaction interface, an adaptive and learning module; The human-machine interaction interface satisfies the human-machine interaction of operators inputting parameters, checking status and performing control; The adaptive and learning module automatically adjusts parameters and strategies according to actual production conditions and environmental changes.

[0022] As attached Figure 2-3 As shown, a numerical control positioning mechanism device includes a loading table frame 1, a conveying chain assembly 2, a chain motor assembly 3, a reference positioning assembly 4, a baffle assembly 5, a conveying roller assembly 6, a servo positioning assembly 7, and an upper pressure roller assembly 8; The chain motor assembly 3 drives the parallel conveying chain assembly 2 to drive the wood to move horizontally; The baffle plate assembly 5 is arranged at the front end of the loading platform frame 1, and the baffle plate assembly 5 is extended and retracted by the cylinder according to the signal to achieve the effect of controlling the feeding rhythm; The reference positioning component 4 is arranged at the rear end of the conveying chain component 2, and the reference positioning component 4 is located behind the travel switch; The conveying roller assembly 6 is arranged above the loading platform frame 1, and the wood is conveyed through the conveying roller assembly 6; The servo positioning assembly 7 corresponds to the reference positioning assembly 4, and the upper pressing roller assembly 8 compacts the wood.

[0023] As attached Figure 4 As shown, a wood feeding method based on machine vision includes the following sub-steps: S1: The wood enters the scanning range of the visual system, and the positioning reference point is selected according to different lengths; S2: The visual system scans the wood, obtains the wood's board position and defect information, and processes the information into data; S3: The CNC positioning mechanism activates the corresponding servo positioning component 7 according to the reference positioning component 4 activated when the visual system is positioned, and moves the servo according to the result after the visual inspection planning to align the plate; S4: After the CNC positioning mechanism is aligned, the conveyor chain assembly 2 is lowered, and the plate is sent to the subsequent process through the conveyor roller assembly 2.

[0024] Furthermore, in a wood feeding method based on machine vision, step S2 includes the following sub-steps: S21: The visual system takes pictures and samples, stitches the images taken by multiple cameras, and performs model comparison after the stitching is completed; S22: graying and filtering the acquired image, and extracting the position and defect information of the wood skin through edge detection and morphological processing algorithms; S23: The visual system obtains the positioning dimensions through calculation, makes plans according to customer needs, converts the planning results into digital signals, and transmits them to the CNC positioning mechanism.

[0025] This solution uses a wood feeding system and method based on machine vision, and realizes the automation of wood peeling, positioning and optimal sawing by combining a visual system with a CNC positioning and conveying system, thereby reducing manual intervention and improving production efficiency; it uses visual detection technology to accurately identify the position and defects of the wood bark, and automatically straightens the board according to the data, thereby improving processing accuracy and reducing misjudgment; it automatically adjusts the feeding parameters according to different wood types and specifications, has strong adaptability, meets the needs of large-scale production, and improves the rapid response and efficient operation of the production line; it does not require manual loading, manual adjustment of laser marking, manual straightening of the wood position, etc., thereby reducing labor intensity and improving the working environment.

[0026] The above shows and describes the basic principles and main features of the present invention and the advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention to be protected. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A wood feeding system based on machine vision, characterized in that: Including visual system, CNC positioning mechanism, automatic feeding system; The visual system scans the wood entering the system, obtains the wood's board position and defect information, and processes the information into data; The numerical control positioning mechanism automatically aligns the board according to the wood data acquired by the visual system; The automatic feeding system integrates a visual system and a numerical control positioning mechanism to achieve automatic feeding, automatic scanning, automatic alignment and automatic sawing of wood.

2. A wood feeding system based on machine vision according to claim 1, characterized in that: The visual system uses industrial cameras and image processing algorithms to perform high-precision imaging and identification of wood; The numerical control positioning mechanism adopts a servo motor and a precision mechanical structure to achieve accurate positioning and adjustment of the plate.

3. A wood feeding system based on machine vision according to claim 1, characterized in that: The automatic feeding system also includes a human-computer interaction interface, an adaptive and learning module; The human-machine interaction interface satisfies the human-machine interaction of operators inputting parameters, checking status and performing control; The adaptive and learning module automatically adjusts parameters and strategies according to actual production conditions and environmental changes.

4. A numerical control positioning mechanism device, characterized in that: A CNC positioning mechanism in a wood feeding system based on machine vision as described in any one of claims 1 to 3, comprising a loading table frame (1), a conveyor chain assembly (2), a chain motor assembly (3), a reference positioning assembly (4), a baffle assembly (5), a conveyor roller assembly (6), a servo positioning assembly (7), and an upper pressure roller assembly (8); The chain motor assembly (3) drives the parallel conveyor chain assemblies (2) to drive the wood to move horizontally; The baffle plate assembly (5) is arranged at the front end of the loading platform frame (1), and the baffle plate assembly (5) is extended and retracted through the cylinder according to the signal to achieve the effect of controlling the feeding rhythm; The reference positioning component (4) is arranged at the rear end of the conveying chain component (2), and the reference positioning component (4) is located behind the travel switch; The conveying roller assembly (6) is arranged above the loading platform frame (1), and the wood is conveyed through the conveying roller assembly (6); The servo positioning assembly (7) corresponds to the reference positioning assembly (4), and the upper pressing roller assembly (8) compacts the wood.

5. A wood feeding method based on machine vision, characterized in that: It includes the following sub-steps: S1: The wood enters the scanning range of the visual system, and the positioning reference point is selected according to different lengths; S2: The visual system scans the wood, obtains the wood's board position and defect information, and processes the information into data; S3: The numerical control positioning mechanism activates the corresponding servo positioning component (7) according to the reference positioning component (4) activated when the visual system is positioned, and moves the servo according to the result of the visual inspection planning to align the plate; S4: After the CNC positioning mechanism is aligned, the conveyor chain assembly (2) is lowered, and the plate is sent to the subsequent process through the conveyor roller assembly (2).

6. A wood feeding method based on machine vision according to claim 5, characterized in that: The step S2 comprises the following sub-steps: S21: The visual system takes pictures and samples, stitches the images taken by multiple cameras, and performs model comparison after the stitching is completed; S22: graying and filtering the acquired image, and extracting the position and defect information of the wood skin through edge detection and morphological processing algorithms; S23: The visual system obtains the positioning dimensions through calculation, makes plans according to customer needs, converts the planning results into digital signals, and transmits them to the CNC positioning mechanism.

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