Method for detecting material types in reconstituted wood production line

Abstract

The invention provides a material type detection device for a reconstituted wood production line. A track is arranged above a transportation line, and a distance sensor is installed on the track. A controller is also provided, and the controller comprises a displacement control unit, a detection control unit and a remote communication unit. The displacement control unit controls the distance sensor to move left and right. The detection control unit controls the detection frequency of the distance sensor. The remote communication unit transmits the displacement data of a mobile trolley and the detection value of the distance sensor to a data analysis center, including the distance sensor arranged on the material trolley. A material type detection method for a reconstituted wood production line is also provided. The distance sensor is used to continuously detect the surface of the material, and the structure of the material surface is reflected by the change of the distance value. The category of the current material is judged by the change law of the data. The invention automatically detects the type of wood in the production line, realizes that multiple production lines share one transportation line, reduces the investment in plant and equipment, and reduces costs and increases efficiency.

Description

Technical Field

[0001] The invention belongs to the technical field of wood product processing, and in particular relates to a method for detecting material types of a reconstituted wood production line. Background Art

[0002] my country's forest resources are scarce, and the supply of large-diameter logs is even tighter. Now, except for the Northeast forest area, most of the forests are artificial forests, especially in the south. The artificial forests have entered the mature stage, and a large amount of thinning wood has not been well utilized. Therefore, the production of reconstructed wood with short-rotation fast-growing and high-yield small-diameter forests, thinning small-diameter wood and other materials as raw materials will ease the contradiction between supply and demand of my country's structural materials and special materials. It is an important technical route in the considerable period of time in the future and has a good market prospect.

[0003] The raw materials used for reconstituted wood processing can be thinning forests, branches, bamboo, fast-growing small-diameter wood, and the residues from felling and lumber processing. Production enterprises usually purchase multiple types of logs together and process them separately. For example, the production of an enterprise mainly uses two types of logs, shrubs and trees, for production. Shrubs and trees need to be modified in their own dedicated modification tanks, and then the shrubs are sent to the corresponding shrub drying kilns, and the trees are sent to the corresponding tree drying kilns. Since the modification to drying procedures are unrelated, the production enterprise can only build separate transportation lines for the two raw materials. The equipment and structure of the transportation line are exactly the same. For enterprises, it is expected that multiple types of wood can share the transportation line, but there is no way in the prior art to effectively distinguish the types of logs on the same line. Both types of logs are placed on the same specification material car to go on the transportation line. The material discharge of the modification tank is irregular, and the types of materials on the material cart are random, so automatic distribution cannot be achieved. If it is distinguished manually, it will take up manpower continuously, and manual guarding is prone to errors, and often leads to distraction and lack of concentration, resulting in the problem of logs being sent in the wrong direction. Summary of the invention

[0004] The technical problem to be solved by the present invention is that the existing combined transport line for multiple logs cannot distinguish the types of logs and often misclassifies the logs.

[0005] The present invention solves the above-mentioned problem by adopting the following technical solution:

[0006] A method for detecting the type of materials in a reconstituted wood production line is carried out according to the following steps:

[0007] S1: Install the detection device

[0008] 1) Install a fixed bracket at any position on the transport path, and install a track on the top of the fixed bracket;

[0009] 2) A mobile trolley is installed on the track, a start position sensor is installed on the left end of the track, and a stop position sensor is installed on the right end of the track;

[0010] 3) A distance measuring sensor is installed on the lower side of the mobile car; the controller is installed on a fixed bracket and then connected to the line; the controller includes a displacement control unit, a detection control unit and a remote communication unit; the displacement control unit controls the moving speed and distance of the mobile car; the detection control unit controls the frequency of the distance measuring sensor for distance detection; the remote communication unit transmits the displacement data of the mobile car and the detection value of the distance measuring sensor to the data analysis center;

[0011] S2: Establishing a distance measurement comparison database

[0012] 1) The material truck loaded with trees moves to the detection position under the detection device;

[0013] 2) After debugging the mobile trolley, position the mobile trolley at the left starting position so that the detection point of the distance sensor is at the left edge of the material;

[0014] 3) Turn on the distance sensor, and the distance sensor performs a distance measurement at the starting position to obtain the distance value P0 from the laser emission point to the material surface; the distance sensor moves one unit to the right and performs a second distance measurement to obtain the distance value P1; after that, the distance sensor performs a distance measurement every time it moves one unit to obtain the distance values ​​P2, P3, P4...P n ;

[0015] 4) Construct an XY coordinate system, where the X-axis is a moving line parallel to the mobile car, and the detection point of the distance measuring sensor when the mobile car is at the starting position is the X-axis origin. Based on the X-axis origin, the unit length on the X-axis is set according to the unit distance of each movement of the mobile car;

[0016] 5) Define the Y-axis direction parallel to the laser emission direction, take the detection point of the ranging sensor when the mobile car is at the starting position as the Y-axis origin, and obtain the coordinates of the detection point of the ranging sensor each time (0, y0), (1, y1) (2, y2) (3, y3) (4, y4) ... (N, y n ); convert the corresponding P value into the y value of the coordinate, the calculation formula is: y0=P0-P0; y1=P1-P0; y2=P2-P0; y3=P3-P0; y4=P4-P0; ...y n =P n -P0;

[0017] 6) After the above measurements and calculations, a set of continuous coordinates in the XY coordinate system is obtained: (0, 0) (1, P1-P0) (0, P2-P0) (0, P3-P0) (0, P4-P0) ... (0, P n -P0), record each coordinate point in the XY coordinate system and form a tree sample comparison curve;

[0018] 7) The material cart loaded with shrubs is moved to the bottom of the detection device, and the above steps 2) to 6) are repeated to form a shrub sample control curve;

[0019] S3: Conduct material testing

[0020] 1) Move the mobile trolley to the starting position; the material trolley stops at the detection position;

[0021] 2) Turn on the distance sensor to measure the first detection point on the left side of the material; then move the distance sensor to the right, take several detection points on the material surface for measurement, and form some distance data;

[0022] 3) Convert the measured distance data into a sample curve;

[0023] 4) Compare the sample curve with the control curve to determine the type of wood material on the material truck;

[0024] S4: The data analysis center determines the destination of the current material vehicle, thereby controlling the transportation direction of the current material vehicle.

[0025] Compared with the prior art, the present invention using the above technical method has the following beneficial effects:

[0026] The present invention automatically detects the type of wood on the production line, and can allow the wood to automatically enter the next process of the corresponding production line without human intervention. Two or more raw materials can be transported simultaneously on one production line, achieving the effect of merging multiple production lines. Intelligent equipment is used to achieve automatic detection, continuous unmanned production, reduce plant and equipment investment, and reduce costs and increase efficiency.

[0027] Preferably, a further technical solution of the present invention is:

[0028] When establishing the distance measurement comparison database, the material is divided into 10 collection areas, and a set of distance data is measured in each collection area to form 10 sample comparison curves of this type of wood. This solution forms a more comprehensive sample comparison database.

[0029] When comparing the sample curve of the current material vehicle with the control curve in the database, fuzzy comparison is used to determine the category to which the sample curve belongs based on the law of value changes. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 This is the surface map of the shrub material on the material truck;

[0031] Figure 2 This is the surface diagram of the tree material on the material truck;

[0032] Figure 3 It is a structural stereogram of the detection device of the present invention;

[0033] Figure 4 It is a front view of the detection device of the present invention;

[0034] Figure 5 This is a schematic diagram of the distance measuring sensor of the present invention collecting shrub data;

[0035] Figure 6 This is a curve graph for shrub samples;

[0036] Figure 7 This is a schematic diagram of the distance measuring sensor of the present invention collecting tree data;

[0037] Figure 8 This is the curve graph of tree samples.

[0038] In the figure: 1. Fixed bracket; 2. Track; 3. Moving trolley; 4. Start position sensor; 5. Stop position sensor; 6. Material trolley; 7. Proximity sensor; 8. Controller; 9. Distance sensor. DETAILED DESCRIPTION

[0039] The present invention is further described below in conjunction with embodiments, the purpose of which is only to better understand the content of the present invention. Therefore, the examples given do not limit the protection scope of the present invention.

[0040] The following uses the example of distinguishing shrubs and trees as an example to illustrate the concept of detecting and distinguishing different wood materials of the present invention. The present invention aims to find the significant features of different wood materials and use the significant features as a starting point to distinguish the raw materials.

[0041] like Figure 1 The shrub raw materials are round wood branches, which are the products of shrub plants after defoliation, peeling, and pruning. The shrub raw materials used for recombinant wood production are modified into bundles or piles and placed on the material truck. Figure 2 The trees are processed boards and wood chips made from raw wood, which are stacked on the material truck one by one.

[0042] The present invention analyzes whether the current material is a tree or shrub log by searching the flatness of the material surface. Figure 3 , Figure 4As shown, the material type detection device for the reconstituted wood production line provided by the present invention comprises a fixed bracket 1 spanning the transportation path of the material vehicle 6, the top of the fixed bracket 1 is provided with left and right tracks 2, a moving car 3 is installed on the left and right tracks 2, and a distance sensor 9 is installed on the moving car 3; a controller 8 is also provided, and the controller 8 is installed on the fixed bracket 1; a starting position sensor 4 is provided at the left end of the left and right tracks 2, and the starting position sensor 4 makes the detection point of the distance sensor 9 be at the left edge of the material surface of the material vehicle 6; a stop position sensor 5 is provided at the right end of the left and right tracks 2, and the stop position sensor 5 is connected to the controller 8; the controller 8 includes a displacement control unit, a detection control unit and a remote communication unit; the displacement control unit controls the moving speed and distance of the moving car 3; the detection control unit controls the frequency of the distance detection by the distance sensor 9; the remote communication unit transmits the displacement data of the moving car 3 and the detection value of the distance sensor 9 to the data analysis center.

[0043] The starting position sensor 4 on the left and right tracks 2 not only protects the mobile trolley 3, but also plays a role in positioning the distance sensor 9. The starting position sensor 4 positions the mobile trolley 3 to ensure that the measuring point facing the distance sensor 9 is at the starting point on the left side of the material. The starting point is not a specific point on the material, but a point closer to the edge of the material, leaving sufficient space for the subsequent picking points.

[0044] Each unit distance moved by the mobile car 3 depends on the actual situation. The "unit length" is adjusted and determined by the controller 8. Generally, for a material car 6 with a width of one meter, 10 to 15 measuring points are taken on the material range. For a material car 6 with a width of two meters, 20 to 30 measuring points can be taken on the material range. Generally, if the obtained curve has a small change in the distance value and is in a style of occasional jumping, it is a tree; if the obtained curve has a large change in the distance value and is in a style of obvious repeated jumping, it is a shrub. The distance sensor 9 is a laser distance measuring device.

[0045] The stop position sensor 5 can be a position-adjustable component, which can be adjusted according to the width of the material. The stop position sensor 5 can protect the mobile trolley 3 from moving beyond the limit, and can also serve as a return signal control point for the mobile trolley 3. When the mobile trolley 3 triggers the stop position sensor 5, it means that the distance sensor 9 has moved to the rightmost side of the material, obtained the last detection data, and can return to the starting position.

[0046] The data analysis center can be the overall control system of the production line.

[0047] The material cart 6 can be a flat support base plate, and the material cart 6 moves on the transport support rollers. The detection position below the detection device is determined by a positioner, and a corresponding proximity sensor 7 is set on the material cart 6 and the ground, so that the material cart can accurately stop at the position to be detected.

[0048] See also Figures 5 to 8 The present invention also provides a method for detecting the type of materials in a reconstituted wood production line, which is carried out according to the following steps:

[0049] S1: Install the detection device

[0050] 1) Install a fixed bracket 1 at any position on the transport path, and install left and right tracks 2 on the top of the fixed bracket 1.

[0051] 2) A moving trolley 3 is installed on the left and right tracks 2, a starting position sensor 4 is installed at the left end of the left and right tracks 2, and a stop position sensor 5 is installed at the right end of the left and right tracks;

[0052] 3) A distance measuring sensor 9 is installed on the lower side of the mobile car 3; the controller 8 is installed on the fixed bracket 1 and connected to the line (the line refers to the electric wire and data line, etc.);

[0053] S2: Establishing a distance measurement comparison database

[0054] 1) The material cart 6 loaded with trees moves to the detection position below the detection device;

[0055] 2) After debugging the mobile trolley 3, position the mobile trolley 3 at the left starting position so that the detection point of the distance sensor 9 is at the left edge of the material;

[0056] 3) Turn on the distance sensor 9, and the distance sensor 9 performs a distance measurement at the starting position to obtain the distance value P0 from the laser emission point to the material surface; the distance sensor 9 moves one unit to the right and performs a second distance measurement to obtain the distance value P1; thereafter, the distance is measured once every time it moves one unit, and the distance values ​​P2, P3, P4, ... P are obtained. n ;

[0057] 4) Construct an XY coordinate system, where the X axis is a moving straight line parallel to the mobile car 3, and the detection point of the distance measuring sensor 9 when the mobile car 3 is at the starting position is the X axis origin. Based on the X axis origin, the unit length on the X axis is set according to the unit distance of each movement of the mobile car 3;

[0058] 5) Define the Y-axis direction parallel to the laser emission direction, take the detection point of the ranging sensor 9 when the mobile car 3 is at the starting position as the Y-axis origin, and obtain the coordinates of the detection point of the ranging sensor 9 each time (0, y0), (1, y1) (2, y2) (3, y3) (4, y4) ... (N, y n ); convert the corresponding P value into the y value of the coordinate, the calculation formula is: y0=P0-P0; y1=P1-P0; y2=P2-P0; y3=P3-P0; y4=P4-P0; ...y n =P n -P0;

[0059] 6) After the above measurements and calculations, a set of continuous coordinate points in the XY coordinate system is obtained: (0, 0) (1, P1-P0) (0, P2-P0) (0, P3-P0) (0, P4-P0) ... (0, P n -P0), record each coordinate point in the XY coordinate system and form a tree sample comparison curve;

[0060] 7) The material vehicle 6 loaded with shrubs is moved to the bottom of the detection device, and the above steps 2) to 6) are repeated to form a control curve of the shrub sample;

[0061] S3: Conduct material testing

[0062] 1) Move the mobile trolley 3 to the starting position; the material trolley 6 stops at the detection position;

[0063] 2) Turn on the distance sensor 9 to measure the first measuring point on the left side of the material; then move the distance sensor 9 to the right, take a number of detection points on the material surface for measurement, and form a number of distance data;

[0064] 3) Convert the measured distance data into a sample curve;

[0065] 4) Compare the sample curve with the control curve to determine the type of wood species on the material vehicle 6;

[0066] S4: The data analysis center determines the destination of the current material vehicle 6 , thereby controlling the transportation direction of the current material vehicle 6 .

[0067] The control samples of shrubs and trees of the present invention can be made into a control group, a control curve of multiple shrubs, and a control curve of multiple trees. The control group can be obtained by multiple tests at multiple positions on a material vehicle when establishing a database, or the test results can be recorded in the control curve during the trial operation stage, so that the type curve is more and more perfect. Specifically, when establishing a distance measurement comparison database, the material is divided into 10 collection areas, and a set of distance data is measured in each collection area to form 10 sample control curves of this type of wood.

[0068] When comparing the sample curve of the current material vehicle 6 with the control curve in the database, fuzzy comparison is adopted, and the category to which the sample curve belongs is determined according to the variation rule of the value.

[0069] In the prior art, the target object is mostly identified by image recognition. Different logs are photographed separately, and the type of wood on the current material vehicle 6 is determined based on image analysis. Image analysis is usually point and line analysis. The image of the shrub is thin due to the shape of the log and the surface texture, while the image of the tree has wood grain and lines. Therefore, the accuracy of the result cannot be guaranteed by the image method alone in this project. Image analysis can be used as a supplement to the distance curve analysis method.

[0070] Based on the above curve analysis, the image analysis solution is added:

[0071] An imaging device is added next to the distance measuring sensor 9;

[0072] 2) When the material cart 6 stops at the detection position, a partial photo of the material is taken. As the mobile cart 3 moves from left to right, multiple photos are taken intermittently to form a comparison image library of the log;

[0073] 3) During production inspection, 1 to 3 sample photos are taken of the material, and each sample photo is compared with the reference image library in turn to determine whether the material on the current material cart 6 is a shrub or a tree.

[0074] The present invention automatically detects the type of wood on the production line, and can allow the wood to automatically enter the next process of the corresponding production line without human intervention. Two or more raw materials can be transported simultaneously on one production line, achieving the effect of merging multiple production lines. Intelligent equipment is used to achieve automatic detection, continuous unmanned production, reduce plant and equipment investment, and reduce costs and increase efficiency.

[0075] The above description is only a preferred feasible embodiment of the present invention, and does not limit the scope of rights of the present invention. All equivalent changes made using the contents of the present specification and its drawings are included in the scope of rights of the present invention.

Claims

1. A method for detecting material types in a reconstituted wood production line, characterized in that: Follow these steps S1: Install the detection device 1) Install a fixed bracket at any position on the transport path, and install a track on the top of the fixed bracket; 2) A mobile trolley is installed on the track, a start position sensor is installed on the left end of the track, and a stop position sensor is installed on the right end of the track; 3) A distance measuring sensor is installed on the lower side of the mobile car; the controller is installed on a fixed bracket and then connected to the line; the controller includes a displacement control unit, a detection control unit and a remote communication unit; the displacement control unit controls the moving speed and distance of the mobile car; the detection control unit controls the frequency of the distance measuring sensor for distance detection; the remote communication unit transmits the displacement data of the mobile car and the detection value of the distance measuring sensor to the data analysis center; S2: Establishing a distance measurement comparison database 1) The material truck loaded with trees moves to the detection position under the detection device; 2) After debugging the mobile trolley, position the mobile trolley at the left starting position so that the detection point of the distance sensor is at the left edge of the material; 3) Turn on the distance sensor, and the distance sensor performs a distance measurement at the starting position to obtain the distance value P0 from the laser emission point to the material surface; the distance sensor moves one unit to the right and performs a second distance measurement to obtain the distance value P1; after that, the distance sensor performs a distance measurement every time it moves one unit to obtain the distance values ​​P2, P3, P4...P n ; 4) Construct an XY coordinate system, where the X-axis is a moving line parallel to the mobile car, and the detection point of the distance measuring sensor when the mobile car is at the starting position is the X-axis origin. Based on the X-axis origin, the unit length on the X-axis is set according to the unit distance of each movement of the mobile car; 5) Define the Y-axis direction parallel to the laser emission direction, take the detection point of the ranging sensor when the mobile car is at the starting position as the Y-axis origin, and obtain the coordinates of the detection point of the ranging sensor each time (0, y0), (1, y1) (2, y2) (3, y3) (4, y4) ... (N, y n ); convert the corresponding P value into the y value of the coordinate, the calculation formula is: y0=P0-P0; y1=P1-P0; y2=P2-P0; y3=P3-P0; y4=P4-P0; ...y n =P n -P0; 6) After the above measurements and calculations, a set of continuous coordinates in the XY coordinate system is obtained: (0, 0) (1, P1-P0) (0, P2-P0) (0, P3-P0) (0, P4-P0) ... (0, P n -P0), record each coordinate point in the XY coordinate system and form a tree sample comparison curve; 7) The material cart loaded with shrubs is moved to the bottom of the detection device, and the above steps 2) to 6) are repeated to form a shrub sample control curve; S3: Conduct material testing 1) Move the mobile trolley to the starting position; the material trolley stops at the detection position; 2) Turn on the distance sensor to measure the first detection point on the left side of the material; then move the distance sensor to the right, take several detection points on the material surface for measurement, and form some distance data; 3) Convert the measured distance data into a sample curve; 4) Compare the sample curve with the control curve to determine the type of wood material on the material truck; S4: The data analysis center determines the destination of the current material vehicle, thereby controlling the transportation direction of the current material vehicle.

2. The material type detection method for a reconstituted wood production line according to claim 1 is characterized by: When establishing the distance measurement comparison database, the material is divided into 10 collection areas, and a set of distance data is measured in each collection area to form 10 sample comparison curves of this type of wood.

3. The material type detection method for a reconstituted wood production line according to claim 1 is characterized by: When comparing the sample curve of the current material vehicle with the control curve in the database, fuzzy comparison is used to determine the category to which the sample curve belongs based on the law of value changes.

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