Information processing device, information processing method, and information processing program

Abstract

The present invention provides an information processing device, an information processing method, and an information processing program capable of estimating the linear absorption coefficient when a compound is irradiated with X-rays. [Solution] The information processing device according to the present invention is an information processing device for estimating the linear absorption coefficient when a compound is irradiated with X-rays, and is characterized by comprising: an equivalent mass absorption coefficient calculation unit that calculates the ratio of atoms of a particular element in a compound based on the types of elements constituting the compound and the number of atoms of a particular element, calculates the product of the ratio of atoms of a particular element and the mass absorption coefficient of the same type of element for each type of element, and sums them up to calculate the equivalent mass absorption coefficient of the compound; and a linear absorption coefficient calculation unit that calculates the linear absorption coefficient of the compound by taking the product of the equivalent mass absorption coefficient and the density of the compound.

Description

[Technical Field]

[0001] The present invention relates to an information processing device, an information processing method, and an information processing program, and more particularly to an information processing device, an information processing method, and an information processing program suitable for estimating the linear absorption coefficient of a compound. [Background technology]

[0002] Currently, internal inspections of manufactured goods such as vehicles are primarily carried out using destructive testing, which involves destroying the manufactured goods. This has led to problems such as increased workload, higher costs, and the generation of waste materials. To address these problems, non-destructive testing, which involves inspection without destroying the manufactured product, is becoming increasingly widespread. Non-destructive testing, for example, involves irradiating the object under inspection with X-rays and analyzing the brightness of the X-ray transmission image obtained to inspect the internal structure of the object (see Patent Document 1).

[0003] The technology disclosed in Patent Document 1 allows for non-destructive inspection of the adhesive thickness when joining multiple parts made of metal or other materials with an adhesive. The technology disclosed in Patent Document 1 requires that the linear absorption coefficient of the object being inspected be known in advance in order to measure the bonding thickness of the adhesive on the object being inspected. In order to measure the linear absorption coefficient, it is necessary to create a standard test piece with a plate thickness that is as uniform as possible. However, when the object being inspected is a resin product molded into a complex shape or uses an adhesive with a high shrinkage rate, it is difficult to create a standard test piece of uniform thickness, making it difficult to apply the technology disclosed in Patent Document 1. Therefore, there was a need to estimate the linear absorption coefficient of compounds that are the target of non-destructive testing using X-ray irradiation, without using standard test specimens. [Prior art documents] [Patent Documents]

[0004] [Patent Document 1] Japanese Patent Publication No. 2022-182140 [Overview of the project] [Problems that the invention aims to solve]

[0005] The present invention aims to provide an information processing device, an information processing method, and an information processing program that can estimate the linear absorption coefficient when a compound is irradiated with X-rays. [Means for solving the problem]

[0006] In other words, the information processing device according to the first embodiment is an information processing device for estimating the linear absorption coefficient when a compound is irradiated with X-rays, and is characterized by comprising: an equivalent mass absorption coefficient calculation unit that calculates the proportion of atoms of a particular element in the compound based on the types of elements constituting the compound and the number of atoms of a particular element, calculates the product of the proportion of atoms of a particular element and the mass absorption coefficient of the same type of element for each type of element, and sums them up to calculate the equivalent mass absorption coefficient of the compound; and a linear absorption coefficient calculation unit that calculates the linear absorption coefficient of the compound by taking the product of the equivalent mass absorption coefficient and the density of the compound.

[0007] A second embodiment is an information processing device according to the first embodiment, comprising: an acquisition unit that acquires a relational expression relating the linear absorption coefficient of a compound to the luminance absorption coefficient of a compound; and an estimation unit that estimates the luminance absorption coefficient from the linear absorption coefficient based on the relational expression.

[0008] A third embodiment is an information processing device according to the first embodiment, wherein the equivalent mass absorption coefficient calculation unit determines the mass absorption coefficient according to the type of element from a correspondence table that associates the type of element with the mass absorption coefficient, and calculates the equivalent mass absorption coefficient.

[0009] The fourth aspect is an information processing device according to the second aspect, wherein the relational expression may be a linear correlation expression showing the correspondence between the luminance absorption coefficient and the linear absorption coefficient.

[0010] The fifth embodiment is an information processing device according to the fourth embodiment, wherein the linear correlation equation may be derived from the correspondence between the luminance absorption coefficient and the linear absorption coefficient in multiple types of compounds.

[0011] The sixth aspect of the information processing method is an information processing method for estimating the linear absorption coefficient when a compound is irradiated with X-rays, characterized in that a computer performs an equivalent mass absorption coefficient calculation step in which it calculates the proportion of atoms of a particular element in the compound based on the types of elements that make up the compound and the number of atoms of a particular element, calculates the product of the proportion of atoms of a particular element and the mass absorption coefficient of the same type of element for each type of element, sums them up, and calculates the equivalent mass absorption coefficient of the compound; and a linear absorption coefficient calculation step in which it calculates the linear absorption coefficient of the compound by calculating the product of the equivalent mass absorption coefficient and the density of the compound.

[0012] The information processing program according to the seventh aspect is an information processing program for estimating the linear absorption coefficient when a compound is irradiated with X-rays, and is characterized in that it enables a computer to implement an equivalent mass absorption coefficient calculation function which calculates the proportion of atoms of a particular element in the compound based on the types of elements that make up the compound and the number of atoms of a particular element, calculates the product of the proportion of atoms of a particular element and the mass absorption coefficient of the same type of element for each type of element, sums them up, and calculates the equivalent mass absorption coefficient of the compound; and a linear absorption coefficient calculation function which calculates the linear absorption coefficient of the compound by taking the product of the equivalent mass absorption coefficient and the density of the compound. [Effects of the Invention]

[0013] The information processing apparatus according to the present invention is an information processing apparatus that estimates a linear absorption coefficient when a compound is irradiated with X-rays. From the types of elements constituting the compound and the number of atoms corresponding to each type, it calculates the ratio of the number of atoms corresponding to the type of element in the compound, calculates the product of the ratio of the number of atoms corresponding to the type of element and the mass absorption coefficient of the same type of element as the type of the element for each type of element, sums them up, and calculates it as the equivalent mass absorption coefficient of the compound. It is characterized by including an equivalent mass absorption coefficient calculation unit that calculates the equivalent mass absorption coefficient, and a linear absorption coefficient calculation unit that calculates the product of the equivalent mass absorption coefficient and the density of the compound as the linear absorption coefficient of the compound. Therefore, the linear absorption coefficient when the compound is irradiated with X-rays can be estimated. Also, the information processing method and information processing program according to the present invention can estimate the linear absorption coefficient when a compound is irradiated with X-rays, similar to the information processing apparatus according to the present invention.

Brief Description of Drawings

[0014] [Figure 1] FIG. 1 is a block diagram for explaining an example of the hardware configuration of the information processing apparatus according to the present embodiment. [Figure 2] FIG. 2 is a block diagram for explaining an example of the functional configuration of the information processing apparatus according to the present embodiment. [Figure 3] FIG. 3 is a diagram for explaining an example of a compound related to the linear absorption coefficient estimated by the information processing apparatus according to the present embodiment. [Figure 4] FIG. 4 is a diagram for explaining the outline of the X-ray transmission imaging apparatus used in the present embodiment. [Figure 5] FIG. 5 is a scatter diagram for examining the correlation between the linear absorption coefficient (μ) estimated by the information processing apparatus according to the present embodiment and the luminance absorption coefficient (μA) measured by experiments. [Figure 6] FIG. 6 is an example of a flowchart of the information processing program according to the present embodiment. [Figure 7] FIG. 7 is an example of a flowchart of the information processing program according to another embodiment.

Modes for Carrying Out the Invention

[0015] (Regarding the information processing device 10 according to this embodiment) An information processing device 10 according to one embodiment of the present disclosure will be described with reference to Figures 1 to 5. First, the hardware configuration of the information processing device 10 will be explained with reference to Figure 1. The information processing device 10 is a so-called computer that estimates the linear absorption coefficient (μ) and luminance absorption coefficient (μA) when a compound is irradiated with X-rays, and is also known as a server, personal computer (hereinafter referred to as PC), notebook PC, tablet PC, or smartphone. The absorption coefficient is a coefficient that indicates the proportion of electromagnetic waves that are weakened by absorption as they pass through a material. The linear absorption coefficient (μ) is a coefficient that indicates the rate at which X-rays are absorbed while passing through a material for 1 cm, and its unit is "1 / cm". The luminance absorption coefficient (μA) is a coefficient that indicates how much luminance is reduced due to absorption when electromagnetic waves pass through a material.

[0016] The information processing device 10 can be implemented using a general-purpose computer, but it may also be a computer specialized in estimating the linear absorption coefficient (μ) and luminance absorption coefficient (μA) when a compound is irradiated with X-rays. The information processing device 10 includes a communication unit 10a, a ROM 10b, a RAM 10c, a storage unit 10d, a processing unit 10e, and an input / output interface 10f, among other things. Furthermore, the information processing device 10 includes an input device 10g and an output device 10h, which perform data input and output via an input / output interface 10f as external devices.

[0017] The communication unit 10a is equipped with a function for bidirectional communication with other information processing devices. The other information processing device may be another information processing device 10, or other communication devices. When the communication unit 10a performs bidirectional communication with other information processing devices, it may do so via the information communication network 15, or it may connect directly to the other information processing devices to perform bidirectional communication. The communication unit 10a may use wired communication or wireless communication for communication with other information processing devices.

[0018] ROM10b can be used as a recording device and stores the BIOS (Basic Input Output System), which is necessary for controlling the operation of each functional part of the information processing device 10, as well as various data used by the BIOS. The BIOS is a program that manages the basic input / output functions of the information processing unit 10. It is the first program to run when the information processing unit 10 is powered on, and it controls hardware such as the communication unit 10a, ROM 10b, RAM 10c, storage unit 10d, processing unit 10e, and input / output interface 10f, preparing the OS (Operating System) to start up.

[0019] RAM10c is used to configure the main memory accessed by the processing unit 10e, and is also used to temporarily store various data acquired or generated by the information processing device 10 before storing them in the storage unit 10d.

[0020] The storage unit 10d is implemented using an HDD (Hard Disk Drive), SSD (Solid State Drive), online storage, etc., and stores the OS, the information processing programs described later, other application software, and various data used by these programs. The storage unit 10d also stores various data acquired or generated by the information processing device 10.

[0021] The processing unit 10e includes a CPU (Central Processing Unit), an MPU (Micro Processing Unit), a GPU (Graphics Processing Unit), etc., and is realized by logic circuits and dedicated circuits formed by integrated circuits (IC (Integrated circuit) chips, LSI (Large-Scale Integration)), etc. The input / output interface 10f is an interface for sending and receiving data to and from external devices such as the input device 10g and the output device 10h. The input / output interface 10f uses different standards depending on the data being handled, and may support multiple standards. Examples of standards include HDMI (registered trademark), USB 2.0, USB 3.0, RS-232C, IEEE 1394, SCSI, and SASI.

[0022] The input device 10g includes a keyboard, mouse, etc., and accepts user input for operations on the information processing device 10. The output device 10h includes a monitor, printer, etc., and displays data generated by the information processing device 10 to the user.

[0023] (Regarding the functional configuration of the information processing device 10) Next, with reference to Figure 2, an example of the functional configuration of the information processing device 10 will be described. Figure 2 is a block diagram illustrating an example of the functional configuration of the information processing device 10. The information processing device 10 loads the information processing program, described later, stored in the memory unit 10d, into the main memory, which is composed of RAM 10c or the like. The processing unit 10e accesses the main memory into which the information processing program has been loaded and executes the information processing program. The information processing device 10 executes an information processing program, and the processing unit 10e is equipped with functional units such as an equivalent mass absorption coefficient calculation unit 20, a linear absorption coefficient calculation unit 21, an acquisition unit 22, and an estimation unit 23.

[0024] The equivalent mass absorption coefficient calculation unit 20 calculates the proportion of atoms of a particular element in the compound based on the types of elements that make up the compound and the number of atoms corresponding to those types. It then calculates the product of the proportion of atoms corresponding to a particular element and the mass absorption coefficient of the same type of element for each element, sums these products, and calculates the equivalent mass absorption coefficient (μme) of the compound.

[0025] The mass absorption coefficient is the absorption coefficient per unit mass of a substance, indicating how much a substance attenuates (reduces) radiation, and its unit is "cm". 2 It is " / g". The equivalent mass absorption coefficient calculation unit 20 calculates the equivalent mass absorption coefficient (μme) of the compound to be evaluated, which corresponds to the mass absorption coefficient. The calculation of the equivalent mass absorption coefficient (μme) by the equivalent mass absorption coefficient calculation unit 20 will be explained below, using the example of a compound composed of three elements (element A, element B, and element C).

[0026] The equivalent mass absorption coefficient calculation unit 20 calculates the equivalent mass absorption coefficient (μme) using the following formula (1).

[0027]

number

[0028] In formula (1), μme is the equivalent mass absorption coefficient, RA is the number proportion of atoms of element A, RB is the number proportion of atoms of element B, RC is the number proportion of atoms of element C, μmA is the mass absorption coefficient of element A, μmB is the mass absorption coefficient of element B, and μmC is the mass absorption coefficient of element C. The proportion of atoms of element A refers to the ratio of the number of atoms of element A to the total number of atoms that make up a compound. The proportion of element B atoms refers to the ratio of element B atoms to the total number of atoms that make up a compound. The proportion of element C atoms refers to the ratio of the number of element C atoms to the total number of atoms that make up a compound.

[0029] The calculation of the equivalent mass absorption coefficient (μme) by the equivalent mass absorption coefficient calculation unit 20 will be explained below, using the example of irradiating acrylonitrile-butadiene rubber 32 (see Figure 5) with 120 keV X-rays. Note that acrylonitrile-butadiene rubber 32 is also called acrylonitrile rubber. The chemical structure 30 of acrylonitrile-butadiene rubber 32, as shown in Figure 3, is a copolymer of acrylonitrile and butadiene, containing 7 atoms of element C, 9 atoms of element H, and 1 atom of element N, for a total of 17 atoms. The percentage of atoms of element C (RC) is (7 / 17 × 100 =) 41 percent. The proportion of hydrogen atoms (RH) is (9 / 17 × 100 =) 53 percent. The atomic proportion (RN) of element N is (1 / 17 × 100 =) 6 percent.

[0030] The mass absorption coefficient (μmC) of element C when irradiated with 120 keV X-rays is 0.1447 [cm²]. 2 It is / g] The mass absorption coefficient (μmH) of element H when irradiated with 120 keV X-rays is 0.2824 [cm³]. 2 It is / g] The mass absorption coefficient (μmN) of element N when irradiated with 120 keV X-rays is 0.1459 [cm²]. 2 It is / g]

[0031] The equivalent mass absorption coefficient calculation unit 20 calculates the equivalent mass absorption coefficient (μme) of acrylonitrile butadiene rubber 32 as 0.22 cm by substituting the known number ratios of elements C (RC), H (RH), N (RN), mass absorption coefficient of element C (μmC), H (μmH), and N (μmN) into formula (1). 2 It is calculated as " / g".

[0032] The equivalent mass absorption coefficient calculation unit 20 determines the mass absorption coefficient corresponding to the element type from a correspondence table that associates the element type with the mass absorption coefficient, and calculates the equivalent mass absorption coefficient (μme).

[0033] The correspondence table that associates the element type with the mass absorption coefficient refers to the following table that associates the element with the mass absorption coefficient.

[0034] [Table 1]

[0035] In the matrix of the correspondence table shown in the table, the row takes the element type, and the column takes the tube voltage (keV) of the X-ray source.

[0036] The linear absorption coefficient calculation unit 21 calculates the product of the equivalent mass absorption coefficient (μme) and the density (ρ) of the compound as the linear absorption coefficient (μ) of the compound. Specifically, the linear absorption coefficient calculation unit 21 calculates the linear absorption coefficient (μ) of the compound by substituting the equivalent mass absorption coefficient (μme) and the density (ρ) of the compound, which are calculated by the equivalent mass absorption coefficient calculation unit 20 and are known, into the following mathematical formula (2).

[0037] [Equation]

[0038] In the mathematical formula (2), μ is the linear absorption coefficient "1 / cm", μme is the equivalent mass absorption coefficient "cm 2 / g", and ρ is the density [g / cm 3 . The density (ρ) of acrylonitrile-butadiene rubber 32 is 1.1 [g / cm 3 , and the equivalent mass absorption coefficient (μme) of acrylonitrile-butadiene rubber 32 is 0.22 "cm 2 / g". Therefore, the linear absorption coefficient calculation unit 21 calculates the linear absorption coefficient (μ) to be 0.239 "1 / cm" from the mathematical formula (2).

[0039] The acquisition unit 22 acquires a relational expression that correlates the linear absorption coefficient (μ) of the compound with the luminance absorption coefficient (μA) of the compound. In detail, the acquisition unit 22 acquires a relational expression that correlates the linear absorption coefficient (μ) of a compound with the luminance absorption coefficient (μA) of the compound. The relationship is a linear correlation equation that shows the correspondence between the luminance absorption coefficient (μA) of a compound and the linear absorption coefficient (μ) of that compound. The linear correlation equation is derived from the correspondence between the luminance absorption coefficient (μA) and the linear absorption coefficient (μ) of multiple types of compounds. The linear correlation equation in this embodiment is derived as equation (4) described later.

[0040] The derivation of the linear correlation equation will be explained with reference to Figures 4 and 5. Figure 4 is a diagram illustrating the overview of the X-ray transmission imaging apparatus 100 used in this embodiment, and Figure 5 is a scatter plot for investigating the correlation between the linear absorption coefficient (μ) estimated by the information processing device 10 and the luminance absorption coefficient (μA) measured experimentally.

[0041] Referring to Figure 4, the overview of the X-ray transmission imaging apparatus 100 will be explained. The X-ray transmission imaging apparatus 100 comprises an X-ray irradiation device 110, a detector 120, and a processing unit 130. The object to be measured 101 is placed between the X-ray irradiation device 110 and the detection surface 121 of the detector 120. The X-ray transmission imaging device 100 irradiates the object to be measured 101 with X-rays from the X-ray irradiation device 110, and the intensity (contrast) of the X-rays that have passed through the object to be measured 101 is detected by the detector 120. The X-rays detected by the detector 120 are imaged with a contrast corresponding to their intensity. There is a proportional relationship (linear relationship) between the intensity of X and the contrast.

[0042] X-ray 111 indicates the irradiation range of X-rays emitted from the X-ray irradiation device 110, and the center of the X-ray irradiation range is indicated by the center line 112. The X-ray irradiation device 110 and the detector 120 are installed so that the center line 112 is perpendicular to the detection surface 121 of the detector 120. The processing unit 130 is a so-called computer, and is a type of information processing device such as a server, personal computer (hereinafter referred to as PC), notebook PC, tablet PC, and smartphone. The processing unit 130 shown in Figure 4 is a PC, and is connected to a display for displaying detection results and calculation results, as well as a keyboard, mouse, etc. for input.

[0043] The luminance absorption coefficients (μA) of chloroprene rubber 31, acrylonitrile-butadiene rubber 32, and ethylene propylene diene rubber 33 are determined by experiments using the X-ray transmission imaging device 100. The luminance absorption coefficient (μA) is calculated using the following formula (3).

[0044]

number

[0045] In formula (3), μA is the luminance absorption coefficient, C is the transmission contrast in the X-ray image, C0 is the background contrast, and t is the thickness (mm) of the object under measurement 101 (see Figure 4). In X-ray imaging, the transmission contrast (C) refers to the contrast of X-rays irradiated from the X-ray irradiation device 110, transmitted through the object to be measured 101, and detected by the detector 120. Background contrast (C0) refers to the contrast of X-rays detected by the detector 120 after the object to be measured 101 has been removed from the detector 120 and irradiated from the X-ray irradiation device 110.

[0046] In this experiment, an X-ray transmission imaging device 100 is used to acquire X-ray images of chloroprene rubber 31, acrylonitrile butadiene rubber 32, and ethylene propylene diene rubber 33 as the objects to be measured 101, and the brightness absorption coefficient (μA) of the objects to be measured 101 is obtained using formula (3). The conditions for acquiring X-ray images in this experiment are described below. The FDD (Focus Detector Distance: distance from X-ray irradiation device 110 to detector 120) is 520 mm. The tube voltage of the X-ray source is 120 keV. The imaging time for one scan is approximately 1 second. Two objects to be measured 101 are stacked and attached to the detection surface 121. For each object to be measured 101, imaging is performed a total of two times: once with the object to be measured 101 in the detector 120, and once without the object to be measured 101 in the detector 120.

[0047] As a result of this experiment, the measured values ​​of the luminance absorption coefficient (μA) for the measured material 101, which was chloroprene rubber 31, acrylonitrile butadiene rubber 32, and ethylene propylene diene rubber 33, were as follows. The brightness absorption coefficient (μA) of chloroprene rubber 31 is 0.59052. The luminance absorption coefficient (μA) of acrylonitrile butadiene rubber 32 is 0.52805. The luminance absorption coefficient (μA) of ethylene propylene diene rubber 33 is 0.38275.

[0048] Next, using the information processing device 10, the linear absorption coefficient (μ) of the measured material 101 is estimated, with chloroprene rubber 31, acrylonitrile butadiene rubber 32, and ethylene propylene diene rubber 33 being used as the measured material 101. As mentioned above, the linear absorption coefficient (μ) of acrylonitrile butadiene rubber 32 was estimated to be 0.239 "1 / cm".

[0049] The estimation of the linear absorption coefficient (μ) of chloroprene rubber 31 is described below. First, the equivalent mass absorption coefficient calculation unit 20 calculates the proportion of atoms corresponding to each type of element in the chloroprene rubber 31. It then calculates the product of the proportion of atoms corresponding to each type of element and the mass absorption coefficient of the same type of element for each element, sums these products, and calculates the equivalent mass absorption coefficient (μme) of the chloroprene rubber 31. The number percentage (RC) of atoms of element C is 40 percent. The proportion of hydrogen atoms (RH) is 50 percent. The number percentage of atoms of the element Cl (RCl) is 10 percent.

[0050] The mass absorption coefficients (μm) of the elements constituting chloroprene rubber 31 are obtained as follows, referring to the table above. The mass absorption coefficient (μmC) of element C when irradiated with 120 keV X-rays is 0.1447 [cm²]. 2 It is / g] The mass absorption coefficient (μmH) of element H when irradiated with 120 keV X-rays is 0.2824 [cm³]. 2 It is / g] The mass absorption coefficient (μmN) of element Cl when irradiated with 120 keV X-rays is 0.1822 [cm³]. 2 It is / g]

[0051] The equivalent mass absorption coefficient calculation unit 20 calculates the equivalent mass absorption coefficient (μme) of chloroprene rubber 31 as 0.22 cm by substituting the known atomic ratios of element C (RC), element H (RH), element Cl (RCl), mass absorption coefficient of element C (μmC), mass absorption coefficient of element H (μmH), and mass absorption coefficient of element Cl (μmN) into formula (1). 2 It is calculated as " / g".

[0052] The linear absorption coefficient calculation unit 21 calculates the linear absorption coefficient (μ) of the chloroprene rubber 31 by multiplying the equivalent mass absorption coefficient (μme) of the chloroprene rubber 31 by the density (ρ) of the chloroprene rubber 31. The density (ρ) of chloroprene rubber 31 is 1.1853. The linear absorption coefficient calculation unit 21 estimates the linear absorption coefficient (μ) of the chloroprene rubber 31 to be 0.260 "1 / cm" by substituting the equivalent mass absorption coefficient (μme) and density (ρ) of the chloroprene rubber 31, which have been made known by the equivalent mass absorption coefficient calculation unit 20, into equation (2).

[0053] The estimation of the linear absorption coefficient (μ) of ethylene propylene diene rubber 33 is described below. First, the equivalent mass absorption coefficient calculation unit 20 calculates the proportion of atoms corresponding to each type of element in the ethylene propylene diene rubber 33. It then calculates the product of the proportion of atoms corresponding to each type of element and the mass absorption coefficient of the same type of element for each element, sums these products, and calculates the equivalent mass absorption coefficient (μme) of the ethylene propylene diene rubber 33. The number percentage (RC) of atoms of element C is 33 percent. The proportion of hydrogen atoms (RH) is 67 percent.

[0054] The mass absorption coefficients (μm) of the elements constituting ethylene propylene diene rubber 33 are obtained as follows, referring to the table above. The mass absorption coefficient (μmC) of element C when irradiated with 120 keV X-rays is 0.1447 [cm²]. 2 It is / g] The mass absorption coefficient (μmH) of element H when irradiated with 120 keV X-rays is 0.2824 [cm³]. 2 It is / g]

[0055] The equivalent mass absorption coefficient calculation unit 20 calculates the equivalent mass absorption coefficient (μme) of ethylene propylene diene rubber 33 as 0.24 cm by substituting the known number ratio of atoms of element C (RC), the number ratio of atoms of element H (RH), the mass absorption coefficient of element C (μmC), and the mass absorption coefficient of element H (μmH) into formula (1). 2 It is calculated as " / g".

[0056] The linear absorption coefficient calculation unit 21 calculates the linear absorption coefficient (μ) of the ethylene propylene diene rubber 33 by multiplying the equivalent mass absorption coefficient (μme) of the ethylene propylene diene rubber 33 by the density (ρ) of the ethylene propylene diene rubber 33. The density (ρ) of ethylene propylene diene rubber 33 is 0.8524. The linear absorption coefficient calculation unit 21 estimates the linear absorption coefficient (μ) of the ethylene propylene diene rubber 33 to be 0.205 "1 / cm" by substituting the equivalent mass absorption coefficient (μme) and density (ρ) of the ethylene propylene diene rubber 33, which have been made known by the equivalent mass absorption coefficient calculation unit 20, into equation (2).

[0057] Based on the above, the information processing device 10 estimated the linear absorption coefficients (μ) of chloroprene rubber 31, acrylonitrile-butadiene rubber 32, and ethylene propylene diene rubber 33 as follows. The linear absorption coefficient (μ) of chloroprene rubber 31 is 0.260. The linear absorption coefficient (μ) of acrylonitrile butadiene rubber 32 is 0.239. The linear absorption coefficient (μ) of ethylene propylene diene rubber 33 is 0.205.

[0058] Referring to Figure 5, the correlation between the luminance absorption coefficient (μA) measured in the above experiment and the linear absorption coefficient (μ) estimated by the information processing device 10 will be explained. Figure 5 is a scatter plot used to examine the correlation between the linear absorption coefficient estimated by the information processing device 10 and the luminance absorption coefficient measured experimentally. Correlation refers to the relationship between two variables, specifically the relationship between the luminance absorption coefficient (μA) measured experimentally and the linear absorption coefficient (μ) estimated by the information processing device 10.

[0059] First, a scatter plot shown in Figure 5 is created based on the luminance absorption coefficient (μA) measured experimentally and the linear absorption coefficient (μ) estimated by the information processing device 10. The scatter plot shown in Figure 5 has the linear absorption coefficient (μ) on the horizontal axis and the luminance absorption coefficient (μA) on the vertical axis, and points for the following chloroprene rubber 31, acrylonitrile butadiene rubber 32, and ethylene propylene diene rubber 33 are plotted. Chloroprene rubber 31 points (Linear absorption coefficient (μ), Luminance absorption coefficient (μA)) = (0.260, 0.59052) Acrylonitrile butadiene rubber 32 points (Linear absorption coefficient (μ), Luminance absorption coefficient (μA)) = (0.239, 0.52805) Points of ethylene propylene diene rubber 33 (Linear absorption coefficient (μ), Luminance absorption coefficient (μA)) = (0.205, 0.38275)

[0060] Next, we create an approximate straight line from the scatter plot shown in Figure 5. The linear correlation equation showing the correlation between the luminance absorption coefficient (μA) measured experimentally and the linear absorption coefficient (μ) estimated by the information processing device 10 can be derived using the least squares method based on the scatter plot shown in Figure 5, and is given by the following linear function equation (4).

[0061]

number

[0062] In equation (4), x is the linear absorption coefficient (μ) estimated by the information processing device 10, and y is the luminance absorption coefficient (μA) measured experimentally. The linear correlation equation represented by formula (4) is shown as the straight line 140 in Figure 5. As can be seen from Figure 5, the points for chloroprene rubber 31, acrylonitrile butadiene rubber 32, and ethylene propylene diene rubber 33 lie on the straight line 140, indicating that the arrangement of data in the scatter plot is extremely close to a straight line. This confirms the validity of representing the correlation between the luminance absorption coefficient (μA) measured experimentally and the linear absorption coefficient (μ) estimated by the information processing device 10 with a linear correlation equation. Therefore, since there is a very close linear correlation between the linear absorption coefficient (μ) estimated by the information processing device 10 and the luminance absorption coefficient (μA) measured experimentally, it can be concluded that the information processing device 10 is able to estimate the linear absorption coefficient (μ).

[0063] The estimation unit 23 estimates the luminance absorption coefficient (μA) from the linear absorption coefficient (μ) based on the relational expression. Specifically, the estimation unit 23 estimates the luminance absorption coefficient (μA) from the linear absorption coefficient (μ) based on the relational equation (4). Based on the scatter plot shown in Figure 5, R 2 The calculated value is 0.9923, indicating that formula (4) has high precision. R 2 The value represents the degree of fit in a correlation analysis and can take values ​​from 0 to 1. 2 The value is also called the "coefficient of determination" or "coefficient of determination," and the closer it is to 1, the more accurate the correlation equation is considered to be. It reaches its maximum value of 1.0 when the data is arranged in a straight line.

[0064] (Regarding information processing methods and information processing programs) Next, with reference to Figure 6, an information processing program according to one embodiment of the present invention will be described along with an information processing method. Figure 6 is an example of a flowchart of the information processing program according to this embodiment. The information processing method is executed by the processing unit 10e of the information processing device 10 based on the information processing program. The information processing program includes steps such as the equivalent mass absorption coefficient calculation step S20 and the linear absorption coefficient calculation step S21. The information processing program enables the processing unit 10e of the information processing device 10 to perform functions such as the calculation of the equivalent mass absorption coefficient and the calculation of the linear absorption coefficient. These functions are executed in the order shown in the flowchart of Figure 6, but the order can be changed as appropriate. Since each function overlaps with the descriptions of the various functional units of the information processing device 10 mentioned above, detailed explanations are omitted.

[0065] The equivalent mass absorption coefficient calculation function calculates the proportion of atoms of each element in the compound based on the types of elements that make up the compound and the number of atoms corresponding to those types. It then calculates the product of the proportion of atoms corresponding to each element type and the mass absorption coefficient of the same element type for each element type, sums these products, and calculates the equivalent mass absorption coefficient of the compound (S20: Equivalent Mass Absorption Coefficient Calculation).

[0066] The linear absorption coefficient calculation function calculates the linear absorption coefficient (μ) of a compound by multiplying the equivalent mass absorption coefficient by the density of the compound (S21: Linear Absorption Coefficient Calculation Step).

[0067] (Regarding other embodiments of information processing methods and information processing programs) Next, with reference to Figure 7, an information processing program according to another embodiment of the present invention will be described along with an information processing method according to that other embodiment. Figure 7 is an example of a flowchart of an information processing program according to another embodiment. The flowchart of the information processing program according to another embodiment shown in Figure 7 differs from the flowchart of the information processing program shown in Figure 6 in that it includes the addition of acquisition step S22 and estimation step S23. Information processing methods according to other embodiments are executed by the processing unit 10e of the information processing device 10 based on the information processing program according to another embodiment shown in Figure 7. The information processing program according to another embodiment shown in Figure 7 includes an equivalent mass absorption coefficient calculation step S20, a linear absorption coefficient calculation step S21, an acquisition step S22, and an estimation step S23, among others.

[0068] The information processing program according to another embodiment shown in Figure 7 enables the processing unit 10e of the information processing device 10 to implement functions such as equivalent mass absorption coefficient calculation, linear absorption coefficient calculation, acquisition, and estimation. These functions are executed in the order shown in the flowchart of Figure 7, but the order can be changed as appropriate. Below, we will describe only the differences between the information processing method and information processing program shown in Figure 6 and the information processing method and information processing program shown in Figure 6, which are based on other embodiments of the information processing method and information processing program shown in Figure 7. Furthermore, since each function overlaps with the descriptions of the various functional units of the information processing device 10 mentioned above, detailed explanations will be omitted.

[0069] The acquisition function obtains a relational expression that corresponds the linear absorption coefficient (μ) and the luminance absorption coefficient (μA) (S22: acquisition step). The estimation function estimates the luminance absorption coefficient (μA) from the linear absorption coefficient (μ) based on the relationship (S23: estimation step).

[0070] According to the information processing device 10 of the above embodiment, the linear absorption coefficient (μ) of the compound can be estimated. Furthermore, according to the information processing device 10 of the above embodiment, the luminance absorption coefficient (μA) of the compound can be estimated.

[0071] Furthermore, according to the information processing device 10 of the above embodiment, the mass absorption coefficient corresponding to the type of element can be determined from a correspondence table that associates the types of elements constituting the compound with the mass absorption coefficients of those elements.

[0072] Furthermore, the present invention is not limited to the information processing apparatus 10, information processing method, and information processing program according to the above-described embodiment, and can be implemented by various other modifications or applications without departing from the gist of the present invention as described in the claims. Also, although the word "data" is used in the above-described embodiment, the word "data" can be replaced with "information," and the word "information" can be replaced with "data." [Explanation of Symbols]

[0073] 10 Information Processing Devices 10a Communications Department 10b ROM (Read Only Memory) 10c RAM (Random Access Memory) 10d storage section 10e Processing Unit 10f Input / Output Interface 10g input device 10h output device 15. Information and Communication Networks 20. Equivalent Mass Absorption Coefficient Calculation Unit 21 Linear absorption coefficient calculation unit 22 Acquisition Department 23 Estimation part 30 Chemical formulas of compounds 31 Chloroprene rubber 32 Acrylonitrile Butadiene Rubber 33 Ethylene propylene diene rubber 100 X-ray transmission imaging device 101 Object to be measured 110 X-ray irradiation equipment 111 X-ray 112 Center line 120 detectors 121 Detection surface 130 Processing Unit 140 Linear correlation equation

Claims

1. An information processing device for estimating the linear absorption coefficient when a compound is irradiated with X-rays, An equivalent mass absorption coefficient calculation unit calculates the proportion of atoms of a particular element in the compound based on the types of elements constituting the compound and the number of atoms of that type, calculates the product of the proportion of atoms of a particular element and the mass absorption coefficient of the same type of element for each type of element, and sums these products to calculate the equivalent mass absorption coefficient of the compound. A linear absorption coefficient calculation unit calculates the product of the equivalent mass absorption coefficient and the density of the compound as the linear absorption coefficient of the compound, An information processing device characterized by comprising:

2. An acquisition unit that acquires a relational expression relating the linear absorption coefficient and the luminance absorption coefficient of the compound, An estimation unit that estimates the luminance absorption coefficient from the linear absorption coefficient based on the above relational expression, The information processing apparatus according to claim 1, characterized by comprising:

3. The information processing apparatus according to claim 1, wherein the equivalent mass absorption coefficient calculation unit determines the mass absorption coefficient according to the type of element from a correspondence table that associates the type of element with the mass absorption coefficient, and calculates the equivalent mass absorption coefficient.

4. The information processing apparatus according to claim 2, characterized in that the relational expression is a linear correlation expression showing the correspondence between the luminance absorption coefficient and the linear absorption coefficient.

5. The information processing apparatus according to claim 4, characterized in that the aforementioned first-order correlation equation is derived from the correspondence between the luminance absorption coefficient and the linear absorption coefficient in multiple types of compounds.

6. An information processing method for estimating the linear absorption coefficient when a compound is irradiated with X-rays, Computers A step to calculate the equivalent mass absorption coefficient of the compound, which involves calculating the proportion of atoms of a particular element in the compound based on the types of elements constituting the compound and the number of atoms of that type, calculating the product of the proportion of atoms of a particular element and the mass absorption coefficient of the same type of element for each type of element, summing these products, and calculating the equivalent mass absorption coefficient of the compound. A linear absorption coefficient calculation step in which the product of the equivalent mass absorption coefficient and the density of the compound is calculated as the linear absorption coefficient of the compound, An information processing method characterized by performing the following.

7. An information processing program for estimating the linear absorption coefficient when a compound is irradiated with X-rays, On the computer, A function for calculating the equivalent mass absorption coefficient of the compound, which calculates the proportion of atoms of a particular element in the compound based on the types of elements that make up the compound and the number of atoms of that type; calculates the product of the proportion of atoms of a particular element and the mass absorption coefficient of the same type of element for each type of element, sums these products, and calculates the equivalent mass absorption coefficient of the compound. A linear absorption coefficient calculation function that calculates the product of the equivalent mass absorption coefficient and the density of the compound as the linear absorption coefficient of the compound, An information processing program characterized by achieving this.

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