Physical property prediction system for wood-based board and method for manufacturing wood-based board

Abstract

To provide a physical property prediction system of a woody board capable of predicting a physical property of the woody board manufactured by a material in a stage of the material of the woody board.SOLUTION: A physical property prediction system for a wood board includes a measurement unit configured to obtain, as a measured value, a size distribution of a pretreated product obtained by pretreating a plant biomass feedstock or an intermediate material thereof by a pretreatment unit, a data storage unit configured to store a correspondence relationship between a specific size and a physical property of a wood board manufactured using a wood element having the specific size, and a calculation unit configured to predict, based on the measured value and the correspondence relationship, a physical property of a wood board manufactured using the pretreated product to obtain a predicted value.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present disclosure relates to a system for predicting the physical properties of a wood board and a method for manufacturing a wood board. [Background technology]

[0002] Patent Document 1 discloses a method for manufacturing a fiberboard. In this method, a wood material is steamed and defibrated to obtain wood fibers, to which an adhesive is added, and the resulting board is then formed and thermo-compressed. In this case, the wood material includes a compressed material obtained by compressing and integrating dried pulverized materials of multiple palm plants. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] International Publication No. 2022 / 080358 Summary of the Invention [Problem to be solved by the invention]

[0004] However, Patent Document 1 has a problem in that the physical properties of a fiber board cannot be evaluated unless the fiber board is actually manufactured using the wood material. If the physical properties of the obtained fiber board are poor, the wood material and the man-hours required to manufacture the fiber board will be wasted.

[0005] The object of the present disclosure is to provide a system for predicting the physical properties of a wood board and a method for manufacturing a wood board, which can predict the physical properties of a wood board manufactured from a material at the material stage of the wood board. [Means for solving the problem]

[0006] A system for predicting the physical properties of wood boards according to one embodiment of the present disclosure includes a measurement unit that obtains, as measured values, the size distribution of a pretreated product, which is a plant biomass raw material or its intermediate material that has been pretreated using a pretreatment means; a data storage unit that stores a correspondence between a specific size and the physical properties of a wood board manufactured using wood elements having the specific size; and a calculation unit that predicts the physical properties of a wood board manufactured using the pretreated product based on the measured values ​​and the correspondence, and obtains a predicted value.

[0007] A method for manufacturing a wood board according to one aspect of the present disclosure uses the system for predicting the physical properties of the wood board. [Effects of the Invention]

[0008] According to the present disclosure, it is possible to predict the physical properties of a wood board manufactured from a material at the stage of the material for the wood board. [Brief explanation of the drawings]

[0009] [Figure 1] FIG. 1 is an explanatory diagram showing a system for predicting physical properties of a wood board according to this embodiment. [Figure 2] FIG. 2 is a flowchart showing the manufacturing process of wood boards (MDF and particle board). [Figure 3] FIG. 3 is an explanatory diagram showing another example of the above-mentioned system for predicting physical properties of a wooden board. DETAILED DESCRIPTION OF THE INVENTION

[0010] 1. Overview The inventors of the present invention have conducted extensive research to solve the problems of Patent Document 1, and as a result have developed the following system for predicting the physical properties of wood boards. That is, the system for predicting the physical properties of wood boards according to this embodiment comprises a measurement unit (first measurement unit), a data storage unit, and a calculation unit (see FIG. 1).

[0011] The first measurement unit obtains a measurement value (first measurement value) of the size distribution of a pretreated product obtained by pretreating a plant biomass raw material or its intermediate material using a pretreatment means. Here, when a fiberboard is produced as the wood board, "size distribution" refers to, for example, the fiber length distribution of defibrated fibers. When a particle board is produced as the wood board, "size distribution" refers to the size distribution of chips.

[0012] The data storage unit also stores correspondences (see Tables 1 and 2 below) between specific sizes and the physical properties of wood boards manufactured using wood elements of specific sizes. Here, when fiberboard is manufactured as the wood board, "specific size" refers to a specific fiber length, and "wood elements" refers to defibrated fibers. When particle board is manufactured as the wood board, "specific size" refers to a specific particle size, and "wood elements" refers to chips. The "specific size" may refer to the size of wood elements obtained by processing (defibrating, crushing, etc.) plant biomass raw materials or their intermediate materials, or it may refer to the size of the plant biomass raw materials or their intermediate materials themselves. Furthermore, "correspondence" can be considered the same as correlation.

[0013] The calculation unit also predicts the physical properties of the wood board manufactured using the pretreated product based on the first measurement value and the above-mentioned correspondence relationship, thereby obtaining predicted values.

[0014] In this way, according to this embodiment, it is possible to predict the physical properties of a wood board manufactured from a material at the stage of the wood board material (pre-treated product).

[0015] 2.Details The physical property prediction system for a wood board according to this embodiment will be described below with reference to Figures 1 and 2. First, the wood board (type, material, and manufacturing method) will be described, and then the physical property prediction system for a wood board will be described.

[0016] (1) Wood board (1.1) Types The wood board according to the present embodiment is, for example, a fiberboard, a particleboard, etc. Fiberboards are classified into medium-density fiberboards, hardboards, and insulation boards depending on the density, application, and manufacturing method.

[0017] Thus, in this embodiment, the wood board is medium density fiberboard (MDF), hardboard (HB), insulation board (IB), or particle board (PB). Hereinafter, abbreviations in parentheses may be used.

[0018] (1.2) Material In this embodiment, plant biomass raw materials or intermediate materials thereof (described later) are used as the material for the wood board. Preferably, the plant biomass raw materials include at least one species selected from the group consisting of conifers, broad-leaved trees, and herbaceous plants. Herbaceous plants include palm, bamboo, rice straw, bagasse, etc. Specific examples of the material for the wood board include oil palm trunks (OPT), empty fruit bunches (EFB), and oil palm fronds (OPF). The plant biomass raw materials may also be log logs, demolition materials, agricultural waste, etc.

[0019] (1.3) Manufacturing method The manufacturing methods of wood boards will be explained separately for fiberboard and particleboard.

[0020] <Manufacturing method of fiberboard> The manufacturing methods of fiberboard will be further divided into MDF, HB and IB manufacturing methods.

[0021] <MDF manufacturing method> Generally, MDF is manufactured through the process of fiberizing the raw material (steaming and defibrating), drying, adding adhesives and water repellents, dry forming, heat pressing, humidity control, and finishing.

[0022] <HB manufacturing method> Generally, HB is manufactured through fiberization of raw materials (cooking and defibrating), water addition, sizing agent addition, wet forming, hot pressing, conditioning, and finishing.

[0023] ≪Manufacturing Method of IB≫ Generally, IB is manufactured through fiberization of raw materials (cooking and defibrating), water addition, sizing agent addition, wet forming, drying, conditioning, and finishing.

[0024] [[ID=,10]]Particularly, in the manufacturing method of the fiberboard in this embodiment, before the fiberization of raw materials (cooking and defibrating), pretreatment is performed using pretreatment means (see Figure 2). Note that the fiberization of raw materials (cooking and defibrating) corresponds to "defibrating (process)" in Figure 2, dry forming corresponds to "dry board process" in Figure 2, and wet forming corresponds to "wet board process" in Figure 2.

[0025] Here, the pretreatment means in the manufacturing method of the fiberboard is not particularly limited, and examples include a tableting machine, a pelletizer, a briquetter, a bealer (roll, square), etc.

[0026] When pretreatment is performed using the above pretreatment means, a pretreated product is obtained. The pretreated product is not particularly limited, and examples include tablets, pellets, briquettes, square bealers, roll bealers, etc. These correspond to the intermediate materials used in the manufacturing of the fiberboard (see Figure 2).

[0027] <Manufacturing Method of PB> Generally, PB is manufactured through fragmentation of raw materials (cutting and crushing), drying, addition of adhesive and water repellent, dry forming, hot pressing, conditioning, and finishing.

[0028] Particularly, in the manufacturing method of PB in this embodiment, before the fragmentation of raw materials (cutting and crushing), pretreatment is performed using pretreatment means (see Figure 2). Note that the fragmentation of raw materials (cutting and crushing) corresponds to "crushing (process)" in Figure 2, and dry forming corresponds to "dry board process" in Figure 2.

[0029] Here, the pretreatment means in the PB manufacturing method is not particularly limited, but examples thereof include a rotary race, a crusher, a classifier, a hammer mill, a ball mill, a ring flaker, a horizontal vibrating screen, a vertical vibrating screen, and a baler (roll, square).

[0030] Pretreatment using the above pretreatment means produces a pretreated product. Examples of pretreated products include, but are not limited to, veneers, crushed chips, classified chips, square bales, and roll bales. These are intermediate materials used in the production of PB (see Figure 2).

[0031] (2) Wood board physical property prediction system The system for predicting physical properties of a wood board according to this embodiment predicts, for example, mechanical properties as physical properties of the wood board. Mechanical properties include, but are not limited to, bending strength (Modulus of Rupture: MOR) and Young's modulus of elasticity (Modulus of Elasticity: MOE).

[0032] As shown in FIG. 1, the wood board physical property prediction system according to this embodiment includes a measurement unit (first measurement unit), a data storage unit, and a calculation unit (see the S portion surrounded by a dashed line in FIG. 1). The wood board physical property prediction system may further include a control unit. The wood board physical property prediction system may further include a second measurement unit. The wood board physical property prediction system may further include a third measurement unit. The wood board physical property prediction system may further include an input unit (e.g., keyboard, mouse, etc.) and an output unit (e.g., monitor, printer, etc.).

[0033] In this embodiment, each component of the wood board physical property prediction system (first measurement unit, data storage unit, calculation unit, control unit, second measurement unit, third measurement unit, input unit, output unit) is mainly composed of a computer having, for example, a CPU (Central Processing Unit) and memory, and the functions of each component are realized by executing a program stored in the memory on the CPU. The program may be pre-recorded in the computer's memory, may be provided recorded on a recording medium such as a memory card, or may be provided via a telecommunications line such as the Internet.

[0034] (2.1) Data storage unit The data storage unit stores information necessary for predicting the physical properties of the wood board, so we will first explain the data storage unit.

[0035] The data storage unit stores the correspondence between specific sizes and the physical properties of wood boards manufactured using wood elements of specific sizes as information necessary for predicting the physical properties of wood boards. The following describes the case where the physical properties of a fiberboard are predicted as a wood board. Therefore, "specific sizes" and "wood elements" refer to "specific fiber lengths" and "defibrated fibers," respectively. Furthermore, the "correspondence between specific sizes and the physical properties of wood boards manufactured using wood elements of specific sizes" may be simplified to "correspondence between specific fiber lengths and the physical properties of wood boards."

[0036] A method for determining the correspondence between a specific fiber length and the physical properties of a wood board will be described below using specific examples. However, the "correspondence between a specific fiber length and the physical properties of a wood board" in this embodiment is not limited to the following specific examples.

[0037] Table 1 shows an example of the correspondence between specific fiber lengths and the physical properties of wood boards.

[0038] [Table 1]

[0039] Bending strength evaluation (judgement) A:25MPa or more B: 20MPa or more and less than 25MPa C: Less than 20 MPa.

[0040] ·Bending Young's modulus evaluation (judgement) A:2.5GPa or more B: 2.0GPa or more and less than 2.5GPa C: Less than 2.0 GPa.

[0041] <Example of creating a correspondence between specific fiber lengths and the physical properties of wood boards> The correspondence between the specific fiber lengths shown in Table 1 and the physical properties of wood boards can be created, for example, through the following steps 1 to 4. The part F1 enclosed by the dashed line in Figure 1 shows a flowchart for experimentally manufacturing wood boards to obtain the data necessary to create the above correspondence.

[0042] <Step 1: Obtaining the compressed material> The raw material is air-dried OPT chips, which are fed into a pelletizer to produce compressed pellets.

[0043] <Step 2: Obtaining defibrated fiber> Subsequently, the compressed material is pressure-defibrated in a pressure single-disc refiner to obtain defibrated fibers (for example, this corresponds to the defibration (step) of part F1 in Figure 1).

[0044] <Step 3: Check the fiber length distribution of defibrated fibers> The obtained defibrated fibers are classified using a horizontal vibrating sieve equipped with three stacked sieves with mesh sizes of 3.35 mm, 0.6 mm, and 0.3 mm, and the fiber length distribution of the defibrated fibers is confirmed from the total weight of the defibrated fibers in each classified fraction obtained.

[0045] <Step 4: Measuring the physical properties of the wood board> Next, using only the fibers from each classification fraction, wood boards (target density 0.8 g / cm) were produced. 3 After that, the bending strength and bending Young's modulus of the obtained wood board are measured (see JIS A5905:2022).

[0046] The above results are summarized in Table 1. Table 1 shows the bending strength and bending Young's modulus of wood boards obtained using only each of the following fibers: "over 3.35 mm," "0.6-3.35 mm," "0.3-0.6 mm," and "under 0.3 mm."

[0047] Here, specific examples of "specific fiber length" correspond to the OPT defibrated fiber classification fractions "over 3.35 mm," "0.6-3.35 mm," "0.3-0.6 mm," and "under 0.3 mm" in Table 1. However, the "specific fiber length" (range of classification fractions and number of classification fractions) can be changed depending on the mesh size and number of sieves used.

[0048] Table 2 shows another example of the relationship between specific fiber lengths and the physical properties of wood boards. Table 2 was created in the same manner as Table 1, except that completely dry EFB chips were used as raw materials and sieves with openings of 1.0 mm, 0.85 mm, and 0.425 mm were used.

[0049] [Table 2]

[0050] The bending strength evaluation and bending Young's modulus evaluation in Table 2 are the same as those in Table 1.

[0051] (2.2) 1st measurement section The first measurement unit obtains a measurement value (first measurement value) of the size distribution of a pretreated product obtained by pretreating a plant biomass raw material or its intermediate material using a pretreatment means. Since the explanation is for predicting the physical properties of a fiberboard as a wood board, the "size distribution" will hereinafter be referred to as "fiber length distribution." The plant biomass raw material, intermediate material, pretreatment means, pretreatment, and pretreated product are as explained in the sections (1.2) Materials and (1.3) Manufacturing Method (see also Figure 2).

[0052] The fiber length distribution of the pretreated product is obtained by classification using a sieve. For example, when Table 1 is used to predict the physical properties of a wood board, it is preferable to use the same sieve as that used to create Table 1. That is, the pretreated product is classified using sieves with openings of 3.35 mm, 0.6 mm, and 0.3 mm to obtain the fiber length distribution. This provides the weight ratios of the pretreated product into the following classification fractions: "over 3.35 mm," "0.6-3.35 mm," "0.3-0.6 mm," and "under 0.3 mm." These correspond to the first measured values. The first measured values ​​are stored in the data storage unit and transferred to the calculation unit. The first measured values ​​may also be output to the output unit.

[0053] (2.3) Arithmetic section The calculation unit predicts the physical properties of the wood board manufactured using the pretreated product based on the first measurement value and the correspondence relationship (for example, the correspondence relationship between specific fiber lengths and physical properties of the wood board shown in Table 1) to obtain a predicted value. The predicted value may be output to the output unit.

[0054] As described above, the first measurement value is the fiber length distribution of the pretreated product, specifically, the weight ratio of each of the following fractions in the pretreated product: "over 3.35 mm," "0.6-3.35 mm," "0.3-0.6 mm," and "under 0.3 mm."

[0055] On the other hand, Table 2 shows the strength (bending strength and bending Young's modulus) of wood boards manufactured using only fibers from each of the following classification fractions: "over 1.0 mm," "0.85-1.0 mm," "0.425-0.85 mm," and "under 0.425 mm."

[0056] The predicted value can be obtained by calculating the "weight ratio x intensity" for each classification fraction and adding them up. In other words, the predicted value can be obtained by weighted evaluation.

[0057] Furthermore, the calculation unit determines whether the predicted value is a desired predicted value. That is, the calculation unit determines whether the predicted value is equal to or greater than a target value. The determination result may be output to the output unit.

[0058] Here, the target value means the physical property value (in this embodiment, the strength value) required for the wood board. In other words, if the predicted value is equal to or greater than the target value, the predicted value can be said to be the desired predicted value. If the predicted value is the desired predicted value, it is highly likely that the wood board actually manufactured will have the desired physical properties. On the other hand, if the predicted value is not the desired predicted value, it is unlikely that the wood board actually manufactured will have the desired physical properties. The target value is stored, for example, in a data storage unit and transferred to a calculation unit as needed.

[0059] (2.4) Control Unit If the predicted value is not the desired predicted value, the control unit instructs the pretreatment unit to change the pretreatment conditions and pretreatment the pretreated product again. This may change the fiber length distribution of the pretreated product. Therefore, the predicted value is more likely to exceed the target value.

[0060] If the predicted value is the desired predicted value, there is a high possibility that the wood board that is actually manufactured will have the desired physical properties, and therefore there is no need to pretreat the pretreated product again.

[0061] (2.5) Second measuring section The second measuring unit obtains the physical properties of a wood board actually manufactured using the pretreated product as second measured values. In this embodiment, the second measured values ​​are the strength (bending strength and bending Young's modulus) of the actually manufactured wood board.

[0062] The second measurement value is transferred to the data storage unit and stored in the data storage unit. In this way, the data storage unit is organized into a database. The second measurement value may be output to the output unit.

[0063] Here, if the second measurement value is equal to or greater than the target value, the prediction is deemed to be correct. On the other hand, if the second measurement value is less than the target value, the prediction is deemed to be incorrect. In particular, in the latter case, exceptional data that contradicts the prediction (the first measurement value, the predicted value, the second measurement value, etc.) can be transferred to the calculation unit and fed back to improve the accuracy of the prediction.

[0064] (2.6) Third measurement section The third measuring unit obtains the size distribution of chips contained in the compressed product as a third measurement value.

[0065] Specifically, in the example of creating the correspondence between specific fiber lengths and the physical properties of wood boards described above, the following step 1.5 is inserted between step 1 and step 2.

[0066] Step 1.5 The compressed material is dried and loosened with a stainless steel roller, and then classified using a horizontal vibrating sieve equipped with three stacked sieves with openings of 3.35 mm, 0.6 mm, and 0.3 mm. The total weight of the chips in each classified fraction is then measured to confirm the size distribution of the chips contained in the compressed material.

[0067] In this way, the data on the size distribution of chips contained in the compressed product obtained as the third measurement value is transferred from the third measurement unit to the data storage unit and stored therein (see FIG. 3).

[0068] (2.7) Prediction process flow The flow of the prediction process using the wood board physical property prediction system according to this embodiment will be described. The part F2 enclosed by the dashed line in Figure 1 is a flowchart showing the wood board manufacturing method according to this embodiment, which shows the flow of actually manufacturing a wood board in a factory or the like by feeding back data accumulated in the wood board physical property prediction system. In this way, the wood board manufacturing method may use the wood board physical property prediction system.

[0069] First, the plant biomass raw material or its intermediate material is pretreated by a pretreatment means. Here, pretreatment corresponds to, for example, the input of production conditions in part F2 of Fig. 1, the processing from raw material input to intermediate material generation (process), or the input of production conditions in part F2 of Fig. 1, the processing from raw material input to defibration (process). The fiber length distribution of the pretreated product obtained in this way is measured by a first measurement unit, and a first measurement value is obtained.

[0070] Next, the physical properties of the wood board manufactured using the pretreated product are predicted based on the first measurement value and the correspondence between the specific fiber length and the physical properties of the wood board. This results in a predicted value. It is then determined whether this predicted value is equal to or greater than a target value.

[0071] If the evaluation results are good, the wood board is manufactured as is.

[0072] On the other hand, if the judgment result is poor, the pretreatment conditions are changed and the pretreated product is pretreated again.The fiber length distribution of the pretreated product is then measured again to obtain a first measurement value, and a prediction is made again to make a judgment.This process is repeated until the judgment result improves.If the judgment result improves, the wood board is manufactured as is.

[0073] It is also possible to obtain measurements of the size distribution of various preprocessed products by changing the input of preprocessing production conditions or raw material input, rather than for the preprocessed products.

[0074] (3) Effects According to this embodiment, it is possible to predict the physical properties of a wood board manufactured from a material (pre-processed product) at the stage of the material. This increases the likelihood that a wood board with the desired physical properties will be manufactured. On the other hand, it reduces the likelihood that a wood board without the desired physical properties will be manufactured. Therefore, the materials and man-hours required for manufacturing the wood board are less likely to be wasted.

[0075] Furthermore, according to this embodiment, even if the predicted value is not the desired predicted value, the pretreatment conditions are changed and the pretreated product is pretreated again. By pretreating again in this way, the size distribution of the pretreated product (fiber length distribution in the case of fiberboard, chip size distribution in the case of particleboard) changes, making it easier to obtain the desired predicted value. In other words, even if the desired predicted value is not obtained, the pretreated product does not have to be discarded as is.

[0076] Furthermore, according to this embodiment, even if the predicted value is the desired predicted value but the second measurement value is less than the target value, the accuracy of the prediction can be improved by accumulating such exceptional data that contradicts the prediction in the data storage unit.

[0077] It is also possible to obtain measurements of the size distribution of various preprocessed products by changing the input of preprocessing production conditions or raw material inputs, rather than for the preprocessed products themselves. By storing such data in the data storage unit, the accuracy of predictions can be similarly improved.

[0078] In this embodiment, the plant biomass raw material includes at least one species selected from the group consisting of coniferous trees, broad-leaved trees, and herbaceous plants. In this way, a wide range of tree species can be used as materials for the wood board.

[0079] In this embodiment, the wood board is medium density fiberboard (MDF), hardboard (HB), insulation board (IB), or particle board (PB). As such, there are a wide variety of applicable wood boards.

[0080] 3. Variations In this embodiment, the physical property prediction system for a wood board has been described using a fiber board as a specific example of a wood board, but the physical property prediction system for a wood board can also be applied to predicting the physical properties of particle board.

[0081] 4. Aspects As is apparent from the above-described embodiments and modifications, the present disclosure includes the following aspects.

[0082] The first aspect is a system for predicting the physical properties of wood boards, which includes a measurement unit that obtains, as measured values, the size distribution of a pretreated product obtained by pretreating plant biomass raw materials or their intermediate materials using a pretreatment means; a data storage unit that stores correspondence between specific sizes and the physical properties of wood boards manufactured using wood elements having the specific sizes; and a calculation unit that predicts the physical properties of wood boards manufactured using the pretreated product based on the measured values ​​and the correspondence, and obtains predicted values.

[0083] According to this aspect, it is possible to predict the physical properties of a wood board manufactured from a material at the stage of the wood board material.

[0084] Furthermore, by changing the input of pretreatment production conditions and raw material input, measurements of the size distribution of various pretreated products can be obtained, improving the accuracy of predictions of the physical properties of wood boards.

[0085] The second aspect is a system for predicting the physical properties of a wood board based on the first aspect, and further includes a control unit that, if the predicted value is not a desired predicted value, issues an instruction to the pretreatment means to change the pretreatment conditions and pretreatment the pretreated product again.

[0086] According to this aspect, the size distribution of the pretreated product changes by performing pretreatment again, making it easier to obtain the desired predicted value. In other words, even if the desired predicted value is not obtained, the pretreated product does not have to be discarded as is.

[0087] A third aspect is a system for predicting the physical properties of a wood board based on the first or second aspect. In the third aspect, the measurement unit is a first measurement unit, the measurement value is a first measurement value, and the system further includes a second measurement unit that obtains the physical properties of a wood board actually manufactured using the pretreated product as a second measurement value. The second measurement value is transferred to the data storage unit and stored in the data storage unit.

[0088] According to this aspect, exceptional data contrary to the prediction is accumulated in the data storage unit, thereby improving the accuracy of the prediction.

[0089] A fourth aspect is a system for predicting the physical properties of a wood board based on any one of the first to third aspects. In the fourth aspect, the plant biomass raw material includes at least one species selected from the group consisting of coniferous trees, broad-leaved trees, and herbaceous plants.

[0090] According to this embodiment, a wide range of tree species can be used as the material for the wood board.

[0091] A fifth aspect is a system for predicting physical properties of a wooden board based on any one of aspects 1 to 4. In the fifth aspect, the wooden board is a medium-density fiberboard, a hardboard, an insulation board, or a particle board.

[0092] According to this aspect, a wide variety of wood boards can be used.

[0093] The sixth aspect is a method for manufacturing a wooden board, which uses a system for predicting the physical properties of a wooden board based on any one of the first to fifth aspects.

[0094] According to this aspect, a wood board can be manufactured without wasting pre-processed materials and man-hours required for manufacturing the wood board.

Claims

1. a measuring unit for obtaining a size distribution of a pretreated product obtained by pretreating a plant biomass raw material or an intermediate material thereof using a pretreatment means as a measurement value; A data storage unit that stores a correspondence between a specific size and the physical properties of a wood board manufactured using wood elements having the specific size; and a calculation unit that predicts the physical properties of a wood board manufactured using the pretreated product based on the measured values ​​and the correspondence relationship to obtain predicted values. A system for predicting the physical properties of wood boards.

2. a control unit that, when the predicted value is not a desired predicted value, issues an instruction to the pre-processing means to change the pre-processing conditions and perform pre-processing again on the pre-processed product; The system for predicting physical properties of a wood board according to claim 1.

3. the measurement unit is a first measurement unit, and the measurement value is a first measurement value; Further provided is a second measuring unit for obtaining second measured values ​​of physical properties of a wood board actually manufactured using the pretreated product, the second measurement value is transferred to the data storage unit and stored in the data storage unit; The system for predicting physical properties of a wood board according to claim 1.

4. The plant biomass raw material includes at least one species selected from the group consisting of coniferous trees, broad-leaved trees, and herbaceous plants. The system for predicting physical properties of a wood board according to claim 1.

5. The wood board is a medium density fiberboard, a hardboard, an insulation board, or a particle board. The system for predicting physical properties of a wood board according to claim 1.

6. A method for manufacturing a wood board using the wood board physical property prediction system according to any one of claims 1 to 5.

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