JP3761534B2 - Larch lumber sorting system - Google Patents

Description

【００１１】
次に、より精度良くネジレを予測するために、元口と末口の未成熟材率の平均値及び木理傾斜角の標準偏差とネジレとの間の重相関を表２に表す。
【表２】

これにより、左側柾目面の未成熟材率と木理傾斜角の標準偏差の最小値による相関が最も高いことを示す。
この重相関により、適材としての建築用部材と不適材としての梱包材・パレット材等用製材品に分別することができる。
【００１２】
【効果】
このように、本発明のカラマツ材製材分別システムは、未成熟材ー成熟材峻別システムとネジレ予測システムとにより、適材としての建築用部材と不適材としての梱包材・パレット材等用製材品に分別することができるので、効率的な高品質建築用材の生産が可能となり、建築用材への利用が促進される。
【図面の簡単な説明】
【図１】本発明のカラマツ材製材分別システムの概要図である。
【図２】本発明の未成熟材ー成熟材峻別システムとネジレ予測システムとの概要図である。
【図３】本発明の柾目面の年輪配列に関する指標を示す説明図である。
【図４】本発明のネジレに影響を及ぼす年輪配列指標を示す説明図である。[0001]
BACKGROUND OF THE INVENTION
The present invention relates to a larch material lumber sorting system that predicts twisting of larch lumber and sorts lumber products that can be used as building materials.
[0002]
[Prior art]
Currently, larch in Hokkaido is in a state where the area ratio of larch plantation of 6-8 age class (30-40 years old) is remarkably high.
The age of the larch cutting forest is mainly 40 to 50 years old, so it is expected that the amount of logs (material) produced by cutting will be increased in the next 10 years.
However, the low use of larch wood in residential construction is due to the twisting of larch wood.
[0003]
As for larch wood, due to the difference in material characteristics between immature wood and mature wood, the level of immature wood affects the amount of twisting, and the higher the percentage of immature wood, the greater the amount of twisting.
In the immature material part, the inner part at a distance of 8 cm from the marrow is said to be an immature material.
[0004]
In addition, the annual ring arrangement affects the amount of twist generation. The twist generation amount decreases as all the annual rings on the grid face are in a certain direction and parallel to the material length direction, and the twist generation amount increases as the direction variation increases. .
Knowing such immature wood ratio and annual ring arrangement, it is possible to predict the amount of twisting of larch wood.
[0005]
[Patent Document 1]
On the other hand, a manufacturing method and an apparatus for a lumber product for a housing structural material that can produce a lumber product that does not vary in quality and that can provide high quality assurance, and that can sufficiently handle the generated complaint product are disclosed in Japanese Patent Application Laid-Open No. 11-221807. It has become.
[0006]
[Problems to be solved by the invention]
Therefore, the present invention focuses on the ratio of immature wood to low quality parts (ratio of immature wood) and annual ring arrangement. The purpose is to provide a system.
[0007]
[Means for Solving the Problems]
For this purpose, the larch lumber sorting system of the present invention captures an image input device composed of a flat bed scanner equipped with a linear CCD sensor, and an annual ring image appearing on the larch lumber surface by the flat bed scanner. In the larch lumber segregation system consisting of a personal computer connected to the image input device, it is possible to obtain images of both log mouth faces, estimate the position of the pith from the curvature of annual rings, Calculating means for calculating the rate of immature material at a distance of, drawing means for drawing the mature material and immature material part at a distance from the pith, and the shape of the muzzle surface and immature material on the image of the log face after determining the range of, to simulate a variety of Kidori and its value yield calculations, the Kidori setting means for determining an optimal Kidori, after lumber, Obtain an image of the face, calculate the immature material ratio and the wood inclination angle of each board from the annual ring arrangement, predict the twist after drying by the double correlation of both, and the prediction means as a suitable material It is provided with a determination means for separating the building material and the packaging material, pallet or the like as an inappropriate material .
[0008]
DETAILED DESCRIPTION OF THE INVENTION
Hereinafter, the larch lumber material separation system of the present invention will be described.
The larch lumber separation system of the present invention includes an image input device composed of a flatbed scanner having a linear CCD sensor, a personal computer connected to the image input device, and image processing software stored in the personal computer. The flatbed scanner can capture an annual ring image appearing on the surface of the larch lumber in a scanning line of 150 dpi, a capture color of 24 bits, and an image file format of TIFF.
An image capturing stand for moving the long larch lumber is disposed below the linear CCD sensor.
It should be noted that the material surface image can capture a total of six surfaces including two plate surfaces, two mesh surfaces, a tail end, and a front end.
[0009]
Next, the larch lumber material separation system of this invention is demonstrated based on drawing.
As shown in FIG. 1, the larch lumber segregation system of the present invention comprises an <immature material-mature material distinction system> and <twisting prediction system> for knowing the ratio of immature materials and annual ring arrangement of larch materials. .
As shown in the left flow of FIG. 2, the immature wood-mature wood distinction system acquires images of both log mouths of logs (material), estimates the position of the pith from the curvature of the annual ring, and distance from the pith Calculate the percentage of immature wood.
That is, using the two-dimensional coordinates of the annual rings of the mouth end surface obtained from the image, the coordinates of the center of the log are estimated, and a circle with a radius of 8 cm is drawn from the estimated center coordinates of the log, and the circle within the end of the end of the end of the mouth is within the above circle. For the included area, the area ratio with the lip area is calculated.
In the immature material part, the inner part at a distance of 8 cm from the marrow is said to be an immature material.
Then, as shown in FIG. 1, after drawing the mature material portion and the immature material portion, after determining the shape of the mouth end surface and the range of immature material on the log mouth end image, A wood lumber and its value yield simulation are simulated, and a lumber mill decides the best lumber mill and cuts the lumber of the building lumber by the lumber trim that selects the mature lumber section.
[0010]
Next, as shown in the right flow of FIG. 2, the twist prediction system acquires images of the grid surface of the above-mentioned construction lumber product from several places, and uses the tree texture as an index representing the amount of wood texture from each image information. The standard deviation of the inclination angle is obtained, and the degree of twist of the lumber product is estimated by a linear regression equation with the minimum value of the index on the grid surface as an explanatory variable .
That is, with respect to torsion, a significant positive correlation is recognized between the surface average value, surface standard deviation, and surface minimum value of the standard deviation of the wood inclination shown in FIG. The correlation between the deviation and the surface minimum value is the strongest, which means that the twist becomes larger the greater the variation in the grain of the grid (as shown in FIG. 4).
This is shown in Table 1 in terms of the correlation between the deviation (twisting, rolling, vertical sliding, width sliding) and the index related to the annual ring arrangement on the grid surface.
[Table 1]

[0011]
Next, in order to predict torsion with higher accuracy, Table 2 shows the average value of the immature material ratio at the front end and the end end and the multiple correlation between the standard deviation of the wood inclination angle and the torsion.
[Table 2]

This indicates that the correlation between the immature material ratio on the left side grid surface and the standard deviation of the grain inclination angle is the highest.
By this heavy correlation, it is possible to sort into a building material as an appropriate material and a lumber product such as a packing material or a pallet material as an inappropriate material.
[0012]
【effect】
As described above, the larch lumber sorting system of the present invention is made into a construction material as a suitable material and a packaging material / pallet material as an unsuitable material by an immature material-mature material distinction system and a twist prediction system. Since they can be separated, efficient production of high-quality building materials becomes possible, and use for building materials is promoted.
[Brief description of the drawings]
FIG. 1 is a schematic view of a larch lumber sorting system according to the present invention.
FIG. 2 is a schematic diagram of an immature material-mature material distinction system and a twist prediction system according to the present invention.
FIG. 3 is an explanatory diagram showing an index related to an arrangement of annual rings on the grid surface of the present invention.
FIG. 4 is an explanatory diagram showing annual ring arrangement indexes that affect twisting according to the present invention.

Claims (1)

Connected to an image input device comprising a flatbed scanner equipped with a linear CCD sensor and the image input device adapted to be able to capture an annual ring image appearing on the larch surface of the larch by the flatbed scanner In a larch lumber separation system consisting of a personal computer,
Obtaining images of both log mouths of logs, estimating the position of the medulla from the curvature of the annual rings, and calculating means for calculating the immature material rate from the distance from the medulla, mature material and immature material part at the distance from the medulla After determining the shape of the mouth end and the range of immature wood on the image of the log end face, and deciding the optimum end point, perform various tree cutting and its value yield calculation simulations Immediately after sawing and woodcut setting means, the image input device acquires an image of the grid surface, calculates the immature wood ratio and the wood inclination angle of each board from the annual ring arrangement, and twists after drying by the multi-correlation of both. A larch lumber material separation system comprising: a predicting unit for predicting; and a determining unit for separating the building material as an appropriate material and the lumber for packaging material and pallet as an unsuitable material by the predicting unit .

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