CN105352972A - Detection apparatus for wane defect of rectangular bamboo splint - Google Patents

Abstract

The present invention is specifically a kind of rectangular bamboo edge defect detection device, which provides a simple and efficient rectangular bamboo edge defect detection scheme. The device includes a front baffle and a rear baffle, both of which are There is a rectangular hole, two horizontal guide strips up and down and left and right guide blocks are fixed between the front baffle and the rear baffle, the four corners of the horizontal guide strip are respectively provided with bracket ears, and the four bracket ears are respectively hinged with detection Lever, the detection roller is supported by a rotating shaft in the middle groove of the detection lever. The other end of the detection lever is provided with a reel, and the upper part of the reel is wound with a wire rope that tightens the spring and the wire sensor. The present invention realizes the overall judgment of whether any edge of the rectangular bamboo slice has a defect through ingenious structural design, is simple and efficient, mainly adopts the mechanical detection method, and compared with the photoelectric detection method, it is less affected by external interference factors and has better working performance. For stability, the detection accuracy can reach 1mm, and the cost is low.

Description

Defect detection device for rectangular bamboo chips

technical field

The invention relates to bamboo chip processing and testing equipment in the agriculture and forestry industry, in particular to a rectangular bamboo chip chip edge defect detection device.

Background technique

my country is the most important bamboo-producing country in the world, and its bamboo resources, bamboo forest area, bamboo stock and output all rank first in the world. In addition to ecological significance, bamboo industry also has important economic and social value. There are dozens of bamboo wood-based panel products, the main products are bamboo woven plywood, bamboo plywood, bamboo laminated board, bamboo mat and bamboo curtain plywood, bamboo fiberboard and bamboo particleboard. The main products processed, it is mainly used for engineering structural materials and decorative materials. As the main semi-finished raw material of bamboo wood-based panels, bamboo chips will have different colors due to different origins and heat treatment, and defects such as insect eyes, edge collapse, cracks, mildew, and local bamboo green and bamboo yellow will be found during processing. The different color changes and defects of these bamboo chips directly affect the quality of bamboo wood-based panels. In the production process of bamboo wood-based panels, in order to ensure the consistency of the color system of the wood-based panels, it is necessary to separate the colors of the bamboo chips and remove defective bamboo chips before gluing and assembling the blanks, and select bamboo chips of the same color grade to form the blanks. At present, domestic bamboo chip sorting only relies on the sensory evaluation of inspectors, and the detection accuracy is low.

The use of machine vision methods at home and abroad has achieved certain results in the color classification and defect detection of bamboo chips and wood board materials. The representative research in this area is: Zheng Chuanxiang of Zhejiang University invented a computer color separation equipment. The chips are sent to three photoelectric sensors to collect colors and input them to the computer for classification. Taining County Weixi Science and Technology Co., Ltd. Zheng Xi and others invented and provided a kind of automatic sorting system for bamboo chips, including a detection transmission device, a sorting device and an electric control cabinet, and the color is sorted by a chromaticity sensor. Gu Xuemin [4] established an online sorting system for bamboo chip color based on HIS algorithm and gray value. Ding Youchun studied a color classification method based on the color features and texture features of bamboo image and Bayes classifier. Luo Yujuan used the isometric and high-resolution characteristics of CIE1976L*a*b* color space to convert the RGB color features of bamboo slices into L*a*b* space color features for analysis, and selected the color features that can properly represent the color of bamboo slices. Feature parameters, combined with BP neural network classifier to subdivide bamboo slices. Huang Ziyan proposed a method of automatic detection and grading of the color of bamboo chips, a raw material for bamboo flooring, using machine vision technology, and made a preliminary design. On the basis of realizing the color classification, some scholars have carried out theoretical research on partial defect sorting. Song Xin theoretically built a bamboo defect detection and color sorting platform based on machine vision, and studied key issues such as image acquisition, optical imaging, and optical lighting in the process of bamboo defect and color detection, but lacked actual system testing. He Liping researched and designed a bamboo chip detection system based on LabView and Matlab mixed programming to realize real-time and accurate detection of bamboo chip surface defects. After testing, the correct recognition rate of bamboo slices reaches 90%, and the detection rate is above 8 pieces/s, which meets the accuracy requirements and production needs. Similar to the online detection of bamboo chips is the surface detection of wood panels. With the rapid development of electronic technology, computer vision technology, pattern recognition technology and digital image processing technology have been widely used in the field of wood surface defect recognition. A method and device for timber, the steps of which include establishing category data, collecting timber images, determining timber categories, and starting a sorting device. According to the program, generate wood image feature data including color RGB, wood grain inclination angle, and proportion of color spots to the layout. Among them, the inclination angle of wood grain and the proportion of color spots to the layout can be directly judged, and the color data needs to be calculated. Definitely. Wang Yeqin classified the samples by fusing the RGB three color matrices into a feature matrix as the characteristic parameters of the wood surface color classification. W. Kurdthongmee used digital image processing and self-organizing feature mapping neural network to classify rubber wood finger tenon according to color, and the classification accuracy rate reached 95%. Dai Tianhong et al. proposed a color feature extraction method based on HSV color space to classify and simulate sample images. Xie Yonghua mainly focused on the three common defects of wood, dead joints, live joints and insect eyes, and conducted in-depth research on the image segmentation and pattern recognition methods of wood defects. The above research mainly realizes the color classification of bamboo slices in the sorting of bamboo slices, and has not yet realized the sorting of defects (such as defects such as missing edges and edges).

Contents of the invention

In order to solve the problem of lacking a simple and efficient detection device for missing edges of rectangular bamboo chips, the present invention provides a device for detecting defects of missing edges of rectangular bamboo chips.

The present invention is realized by adopting the following technical solutions: the defect detection device for rectangular bamboo slices includes a front baffle and a rear baffle, two legs are respectively arranged on both sides of the front baffle and the rear baffle, and the front baffle and the rear baffle The baffles are all provided with rectangular holes that can pass through the rectangular bamboo slices. There are two horizontal guide strips fixed between the front baffle and the rear baffle. The left and right guide blocks are fixed in the middle of the horizontal guide strips. The horizontal guide strips There are bracket ears on the upper left, lower left, upper right, and lower right respectively. The four bracket ears are respectively hinged with detection levers. The middle part of the detection lever is slotted, and the detection roller is supported by the rotating shaft in the groove. The other end of the detection lever is provided with a winding wire. The radius of the detection roller is greater than that of the winding wheel. There are two large and small wheel grooves on the winding wheel, and a tightening spring is wound on the large wheel grooves of the four winding wheels. The small wheels of the four winding wheels One side of the groove is provided with a stay wire sensor, and the wire rope of the stay wire sensor goes around the small wheel grooves of the four reels in turn and is connected and fixed with the stay wire sensor main body.

When working with the defect detection device for rectangular bamboo chips, it cooperates with the visual defect and color classification detection device, data processing chip circuit and feeding device to form a complete automatic defect detection system for rectangular bamboo chips, which can continuously and uninterruptedly inspect rectangular bamboo chips. It detects insect eyes, blue spots, mildew spots, and missing edges, and can also sort and detect colors. The edge-missing defect detection device of the rectangular bamboo slice realizes the detection of the edge-missing condition of the rectangular bamboo slice. The front baffle and the back baffle are the main frame of the rectangular bamboo chip edge defect detection device. The rectangular holes of the front baffle and the rear baffle are used to pass through the rectangular bamboo chip during the detection process. The rectangular bamboo chip is fed by The upper and lower horizontal direction guide strips limit the horizontal direction, and the left and right direction guide blocks limit the left and right directions and left and right swings. One end of the detection lever is hinged on the four bracket ears, and the other end can rotate around the bracket ears. The wheel of the detection roller on the detection lever The surface is in contact with the four edges of the rectangular bamboo slice respectively, and the tightening spring is tightly wound on the large wheel grooves of the four winding wheels, so as to ensure that the rectangular bamboo slice detects the distance between the wheel surface of the roller and the rectangular bamboo slice during the feeding process. The four edges are always in close contact. When any edge of the rectangular bamboo chip has a missing edge (that is, a gap), the detection roller will drive the detection lever to move when it rolls over here, so that the winding wheel will be displaced to drive the winding wheel. The wire rope of the stay wire sensor is tightly wound on the small wheel groove of the pulley. At this time, the stay wire sensor can detect the displacement and feed back the signal to the corresponding data processing chip.

The beneficial effects of the present invention are as follows: by using the mechanical roller and the lever structure in cooperation with the wire sensor, the detection of the edge-missing defects of the rectangular bamboo slices is realized. The present invention realizes the overall judgment of whether any edge of the rectangular bamboo slice has a defect through ingenious structural design, is simple and efficient, mainly adopts the mechanical detection method, and compared with the photoelectric detection method, it is less affected by external interference factors and has better working performance. for stability. The edge-missing defect detection accuracy of the present invention can reach 1mm, the cost is low, and can be widely applied to the edge-missing defect detection of rectangular bamboo slices.

Description of drawings

Fig. 1 is a schematic diagram of a three-dimensional structure of the present invention;

Fig. 2 is a schematic diagram of the front view structure of the present invention;

Fig. 3 is a schematic view of the top view structure of the present invention;

Fig. 4 is a schematic view of the left view structure of the present invention;

Fig. 5 is a side view layout schematic diagram of the present invention;

Fig. 6 is a schematic diagram of the three-dimensional arrangement of the present invention.

In the figure, 1-leg, 2-front baffle, 3-rear baffle, 4-bracket ear, 5-detection lever, 6-detection roller, 7-winding wheel, 8-rectangular bamboo, 9-horizontal Direction guide bar, 10-left and right direction guide block, 11-tightening spring, 12-wire sensor, 13-visual defect and color classification detection device, 14-feeding device.

detailed description

The defect detection device for rectangular bamboo chips includes a front baffle 2 and a back baffle 3, two legs 1 are respectively arranged on both sides of the front baffle 2 and the back baffle 3, and the front baffle 2 and the back baffle 3 are both Have the rectangular hole that can pass rectangular bamboo slice 8, be fixed with two horizontal direction guide bars 9 up and down between the front baffle plate 2 and the rear baffle plate 3, be fixed with left and right direction guide blocks 10 in the middle of the horizontal direction guide bar 9, horizontal The direction guide bar 9 is respectively provided with bracket ears 4 in the upper left, lower left, upper right, and lower right directions. The four bracket ears 4 are respectively hinged with detection levers 5. The middle part of the detection lever 5 is slotted, and the detection roller 6 is supported by a rotating shaft in the groove. , the detection lever 5 other end is provided with reel 7, and the radius of detection roller 6 is greater than the radius of reel 7, has two wheel grooves of size on the reel 7, on the large wheel groove of four reels 7 Winding is provided with tightening spring 11, and one side of the small wheel groove of four winding reels 7 is provided with backguy sensor 12, and the wire rope of backguy sensor 12 walks around the small wheel groove of four winding reels 7 successively and connects with the main body of backguy sensor 12 The connection is fixed.

In the specific implementation process, the supporting leg 1 adopts hexagon socket head cap screws, the reel 7 is assembled on the detection lever 5 by the hexagon socket head cap pin, and the detection roller (6) utilizes rolling bearings to assemble on the rotating shaft in the middle part of the detection lever (5).

Claims (4)

1. a kind of rectangular bamboo chip edge defect detection device is characterized in that: comprise front baffle (2) and back baffle (3), front baffle (2) and back baffle (3) both sides are respectively provided with The two legs (1), the front baffle (2) and the back baffle (3) are all provided with rectangular holes that can pass through the rectangular bamboo sheet (8), and the front baffle (2) and the back baffle (3) Two horizontal guide strips (9) are fixed up and down between them, and left and right direction guide blocks (10) are fixed in the middle of the horizontal guide strips (9), and the horizontal guide strips (9) are arranged in the upper left, lower left, upper right, and lower right directions. Bracket ears (4) are respectively provided, and detection levers (5) are respectively hinged on the four bracket ears (4). 5) The other end is provided with a winding wheel (7), and the radius of the detection roller (6) is greater than that of the winding wheel (7). There are two large and small grooves on the winding wheel (7), and four winding wheels The big wheel groove of (7) is wound with tightening spring (11), and the small wheel groove side of four reels (7) is provided with backguy sensor (12), and the wire rope of backguy sensor (12) walks around successively The small wheel groove of four winding wheels (7) is also connected and fixed with the wire sensor (12) main body. 2. The defect detection device for missing edges of rectangular bamboo slices according to claim 1, characterized in that: the detection roller (6) is assembled on the rotating shaft slotted in the middle of the detection lever (5) by means of a rolling bearing. 3. The defect detection device for missing edges of rectangular bamboo slices according to claim 1, characterized in that: the supporting legs (1) adopt hexagon socket head screws. 4. The defect detection device for missing edges of rectangular bamboo slices according to claim 1, characterized in that: the winding wheel (7) is assembled on the detection lever (5) through a hexagon socket pin.