Recipe design assistance device, program, and recipe design assistance method

Abstract

A recipe design assistance device that allows an operator to adjust the proportion of a material, and includes: a recipe display control unit configured to display, on a recipe adjustment screen, a recipe represented by a combination of figures having an area corresponding to the proportion; a proportioning ratio adjustment receiving unit configured to receive adjustment of the proportioning ratio on the basis of a variable operation performed by the operator on the area of the pattern; and a performance prediction value display control unit configured to display a performance prediction value of the recipe.

Description

Technical Field

[0001] The present invention relates to a formulation design assistance device, a program, and a formulation design assistance method. Background Art

[0002] In recent years, by constructing a machine learning model that predicts properties based on a formulation using machine learning or statistical analysis, a graph showing changes in property prediction values corresponding to changes in the formulation is displayed on a computer. For example, Patent Document 1 discloses a method for creating a graphical representation of predicted values of material properties as a technique for customized design of products.

[0003] Patent Document 1: Japanese Patent Application Laid-Open No. 2020-535566 Summary of the Invention

[0004] <Problems to be Solved by the Invention>

[0005] In a formulation design assistance device that allows an operator to adjust the mixing ratio of materials, it is necessary to adjust the mixing ratio (explanatory variable) of the materials for predicting properties such as physical properties (target variable). In conventional formulation design assistance devices, there is a problem that it is difficult to adjust the mixing ratio of materials while grasping the overall situation of the formulation. It should be noted that Patent Document 1 does not solve the above problems.

[0006] An object of the present invention is to provide a formulation design assistance device, a program, and a formulation design assistance method that can adjust the mixing ratio of materials while grasping the overall situation of the formulation.

[0007] <Means for Solving the Problems>

[0008] The present invention includes the following constituent elements.

[0009] [1] A formulation design assistance device that allows an operator to adjust the mixing ratio of materials, and includes:

[0010] A formulation display control unit configured to display a formulation represented by a combination of graphs having areas corresponding to the mixing ratios on a formulation adjustment screen;

[0011] A mixing ratio adjustment acceptance unit configured to accept adjustment of the mixing ratio based on a variable operation of the area of the graph by the operator; and

[0012] A performance prediction value display control unit configured to display a performance prediction value of the formulation.

[0013] [2] The formulation design assistance device according to [1], wherein

[0014] Grouping is set for at least a part of the materials.

[0015] The ratio adjustment accepting unit is configured to accept adjustment of the ratio of the ratios of the multiple materials set in the same group when the sum of the ratios of the multiple materials set in the same group remains fixed.

[0016] [3] The formulation design assistance device according to [1] or [2], wherein

[0017] Grouping is set for at least a part of the materials.

[0018] The ratio adjustment accepting unit is configured to accept adjustment of the sum of the ratios of the multiple materials set in the same group when the ratio of the ratios of the multiple materials set in the same group remains fixed.

[0019] [4] The formulation design assistance device according to [1], wherein

[0020] It further includes: a correlation detection unit configured to detect the correlation of the ratios based on the data used in the machine learning of the machine learning model for predicting performance according to the formulation.

[0021] The ratio adjustment accepting unit is configured not to accept adjustment of the ratios that do not follow the correlation.

[0022] [5] The formulation design assistance device according to [4], wherein

[0023] It further includes: a grouping setting unit configured to set grouping based on the correlation for at least a part of the materials.

[0024] [6] The formulation design assistance device according to [2] or [3], wherein

[0025] It further includes: a correlation detection unit configured to detect the correlation of the ratios based on the data used in the machine learning of the machine learning model for predicting performance according to the formulation.

[0026] The ratio adjustment accepting unit is configured not to accept adjustment of the ratios that do not follow the correlation.

[0027] [7] The formulation design assistance device according to [6], wherein

[0028] It further includes: a grouping setting unit configured to set grouping based on the correlation for at least a part of the materials.

[0029] [8] The formula design assistance device according to any one of [1] to [7], wherein,

[0030] At least a part of the materials is grouped,

[0031] The formula display control unit is configured to display, on the formula adjustment screen, a formula diagram for receiving adjustment of the mixing ratio of the materials in a tree diagram form, and by performing a variable operation in a first direction on the area of the diagram, while keeping the ratio of the mixing ratios of the plurality of materials set in the same group fixed, receive adjustment of the sum of the mixing ratios of the plurality of materials set in the same group, and by performing a variable operation in a second direction on the area of the diagram, while keeping the sum of the mixing ratios of the plurality of materials set in the same group fixed, receive adjustment of the ratio of the mixing ratios of the plurality of materials set in the same group.

[0032] [9] The formula design assistance device according to any one of [1] to [7], wherein,

[0033] At least a part of the materials is grouped,

[0034] The formula display control unit is configured to display, on the formula adjustment screen, a formula diagram for receiving adjustment of the mixing ratio of the materials in a sunburst diagram form, and by performing a variable operation on the area of the diagram obtained by dividing a first circle, while keeping the ratio of the mixing ratios of the plurality of materials set in the same group fixed, receive adjustment of the sum of the mixing ratios of the plurality of materials set in the same group, and by performing a variable operation on the area of the diagram obtained by dividing a second circle, while keeping the sum of the mixing ratios of the plurality of materials set in the same group fixed, receive adjustment of the ratio of the mixing ratios of the plurality of materials set in the same group.

[0035]

[10] A program for causing a formula design assistance device to function as the following units to enable an operator to adjust the mixing ratio of materials:

[0036] A formula display control unit that displays, on a formula adjustment screen, a formula represented by a combination of diagrams having areas corresponding to the mixing ratios;

[0037] A mixing ratio adjustment receiving unit that receives adjustment of the mixing ratio based on a variable operation performed by the operator on the area of the diagram; and

[0038] A performance prediction value display control unit that displays a performance prediction value of the formula.

[0039]

[11] A formula design assistance method, which is executed by a formula design assistance device that enables an operator to adjust the mixing ratio of materials. The formula design assistance method includes:

[0040] A formula display control step of displaying, on a formula adjustment screen, a formula represented by a combination of graphics having areas corresponding to the mixing ratios;

[0041] A mixing ratio adjustment acceptance step of accepting an adjustment to the mixing ratio through a variable operation of the area of the graphic by the operator; and

[0042] A performance prediction value display control step of displaying a performance prediction value of the formula.

[0043] <Effects of the Invention>

[0044] According to the present invention, it is possible to adjust the mixing ratio of materials while grasping the overall situation of the formula. Description of the Drawings

[0045] Figure 1 is a structural diagram of an example of a formula design assistance system according to the present embodiment.

[0046] Figure 2 is a hardware structural diagram of an example of a computer according to the present embodiment.

[0047] Figure 3 is a functional structural diagram of an example of a formula design assistance system according to the present embodiment.

[0048] Figure 4 is a schematic diagram of an example of a formula adjustment screen according to the present embodiment.

[0049] Figure 5 is an explanatory diagram of an example of a variable operation on the area of a mixing ratio graphic.

[0050] Figure 6 is an explanatory diagram of an example of a variable operation on the area of a mixing ratio graphic for a constant and relationship.

[0051] Figure 7 is an explanatory diagram of an example of a variable operation on the area of a mixing ratio graphic for a constant ratio relationship.

[0052] Figure 8 is a diagram illustrating an example of the adjustment of the mixing ratio when the mixing ratio is in a constant sum relationship.

[0053] Figure 9 is a diagram illustrating an example of the adjustment of the mixing ratio when the mixing ratio is in a constant ratio relationship.

[0054] Figure 10It is a schematic diagram of an example of the formulation diagram according to the present embodiment.

[0055] Figure 11 It is a diagram illustrating an example of the related formulation using the least absolute value method, RANSAC, Theil - Sen regression, etc.

[0056] Figure 12 It is a flowchart of an example of the process of the formulation design support system according to the present embodiment.

[0057] Figure 13 It is a schematic diagram of an example of the formulation adjustment column of the formulation adjustment screen according to the present embodiment.

[0058] Figure 14 It is a diagram of an example of drawing a contour map showing how the performance prediction value changes with the mixing ratio of materials. Detailed Embodiment

[0059] Next, embodiments of the present invention will be described in detail. The present invention is not limited to the following embodiments. In the present embodiment, the mixing ratio is the ratio in the formulation set for each material, for example, indicating "Material 1 is 30%", etc. Further, in the present embodiment, the formulation is a group of multiple mixing ratios, totaling 100%, for example, shown as "Material 1 accounts for 30%, Material 2 accounts for 50%, Material 3 accounts for 20%", etc.

[0060] [First Embodiment]

[0061] <System Structure>

[0062] Figure 1 It is a structural diagram of an example of the formulation design support system according to the present embodiment. Figure 1 The shown formulation design support system 1 includes a formulation design support device 10 and a user terminal 12. The formulation design support device 10 and the user terminal 12 are connected via a local area network (LAN) or a communication network 18 such as the Internet in a manner capable of data communication.

[0063] The user terminal 12 is an information processing device such as a PC, a tablet terminal, or a smart phone operated by an operator. The user terminal 12 displays a formulation adjustment screen and receives operations required to adjust the mixing ratio of materials from the operator. The user terminal 12 sends the operation content received from the operator to the formulation design support device 10. Further, the user terminal 12 displays a performance prediction value, for example, a characteristic predicted by the formulation design support device 10, on the formulation adjustment screen for the operator to confirm.

[0064] The formula design assistance device 10 is an information processing device such as a PC or a workstation. Based on the operation of adjusting the mixing ratio of materials received from an operator, it performs processing to predict the performance of the product generated according to the formula and display it on the formula adjustment screen. For example, the formula design assistance device 10 uses a machine learning model that has performed machine learning on learning data to predict the performance (objective variable) of the product generated by the formula from the mixing ratio of materials (explanatory variables). Hereinafter, the predicted value of the performance of the product generated by the formula may sometimes be referred to as the performance prediction value of the formula. The formula design assistance device 10 performs processing to display the predicted performance prediction value of the formula on the formula adjustment screen, such as sending the predicted performance prediction value of the formula to the user terminal 12, etc.

[0065] It should be noted that the generation of the image data for displaying the formula adjustment screen can be generated by the formula design assistance device 10 and sent to the user terminal 12, or data required to generate the formula adjustment screen can be sent from the formula design assistance device 10 and generated by the user terminal 12.

[0066] In the formula design assistance system 1 according to the present embodiment, a formula adjustment screen for assisting an operator in formula design as described below is displayed, thereby assisting the operator to easily adjust the mixing ratio of materials while grasping the overall situation of the formula.

[0067] It should be noted that Figure 1 The formula design assistance system 1 is only an example, and it goes without saying that there are various system structure examples according to uses and purposes. For example, the formula design assistance device 10 can be implemented by multiple computers, or can be implemented as a cloud computing service. In addition, for example Figure 1 The formula design assistance system 1 can be implemented by an independent computer.

[0068] <Hardware Structure>

[0069] Figure 1 The formula design assistance device 10 and the user terminal 12 are implemented by a computer 500 having the Figure 2 hardware structure shown.

[0070] Figure 2 is a hardware structure diagram of an example of a computer according to the present embodiment. Figure 2 The computer 500 shown includes an input device 501, a display device 502, an external I / F 503, a RAM 504, a ROM 505, a CPU 506, a communication I / F 507, an HDD 508, etc., which are respectively connected to each other through a bus B. It should be noted that the input device 501 and the display device 502 can also be used in a manner of being connected to each other.

[0071] The input device 501 is a touch panel, operation keys or buttons, a keyboard, a mouse, etc. for an operator to input various signals. The display device 502 is composed of a display such as a liquid crystal or an organic EL for displaying a screen, a speaker for outputting sound data such as sound or voice, etc. The communication I / F 507 is an interface for the computer 500 to perform data communication.

[0072] The HDD 508 is an example of a non-volatile storage device that stores programs and data. The stored programs and data include an OS which is basic software for controlling the entire computer 500, and application programs that provide various functions on the OS, etc. The computer 500 can use a drive device (such as a solid state drive: SSD, etc.) using a flash memory as a storage medium instead of the HDD 508.

[0073] The external I / F 503 is an interface with an external device. The external device includes a recording medium 503a, etc. Thus, the computer 500 can read and / or write to the recording medium 503a via the external I / F 503. The recording medium 503a includes a floppy disk, a CD, a DVD, an SD memory card, a USB memory, etc.

[0074] The ROM 505 is an example of a non-volatile semiconductor memory (storage device) that can retain programs and data even when the power is turned off. The ROM 505 stores programs and data such as BIOS, OS settings, and network settings that are executed when the computer 500 starts up. The RAM 504 is an example of a volatile semiconductor memory (storage device) that temporarily stores programs and data.

[0075] The CPU 506 is a computing device that realizes the control and functions of the entire computer 500 by reading programs and data from a storage device such as the ROM 505 or the HDD 508 into the RAM 504 and executing processing. The computer 500 according to the present embodiment can realize various functions of the formulation design assistance device 10 and the user terminal 12 described later by executing programs. The CPU 506 can also read a program from the recording medium 503a storing the program via the external I / F 503 and execute it.

[0076] <Functional Structure>

[0077] Describe the structure of the formulation design assistance system 1 according to the present embodiment Figure 3 is a functional structure diagram which is an example of the formulation design assistance system according to the present embodiment. In addition, in the Figure 3 structure diagram, units that are not required to explain the present embodiment are appropriately omitted. In the following description, an example of image data for generating a formulation adjustment screen by the formulation design assistance device 10 is described, but programs such as applications installed on the user terminal 12 can also be generated.

[0078] Figure 3 The formulation design assistance device 10 of the formulation design assistance system 1 shown is configured to include a request receiving unit 20, a response sending unit 22, a formulation adjustment screen display control unit 24, a formulation display control unit 26, a performance prediction value display control unit 28, a formulation ratio adjustment accepting unit 30, a performance prediction unit 32, a correlation detection unit 34, a grouping setting unit 36, a learning data storage unit 40, a machine learning model storage unit 42, and a grouping storage unit 44. In addition, the user terminal 12 is configured to include an information display unit 50, an operation accepting unit 52, a request sending unit 54, and a response receiving unit 56.

[0079] The information display unit 50 of the user terminal 12 displays a formulation adjustment screen for assisting an operator in formulating, as described below, on the display device 502. The operation accepting unit 52 receives various operations such as operations on the formulation adjustment screen from the operator. The request sending unit 54 sends a processing request to the formulation design assistance device 10 based on various operations such as operations on the formulation adjustment screen. The response receiving unit 56 receives a response to the processing request sent by the request sending unit 54 from the formulation design assistance device 10.

[0080] The request receiving unit 20 of the formulation design assistance device 10 receives a processing request based on the operation of the operator. The response sending unit 22 sends a response to the processing request received by the request receiving unit 20 to the user terminal 12.

[0081] The formulation adjustment screen display control unit 24 controls to generate image data of the following formulation adjustment screen and display it on the user terminal 12. The formulation display control unit 26 controls to display the following formulation diagram on the formulation adjustment screen. The performance prediction value display control unit 28 controls to display the performance prediction value of the formulation adjusted by the operator in the formulation adjustment screen on the formulation adjustment screen.

[0082] The formulation ratio adjustment accepting unit 30 accepts an adjustment of the formulation ratio of the material from the operator based on the operation of the operator on the formulation adjustment screen received by the user terminal 12. The performance prediction unit 32 uses a machine learning model (hereinafter simply referred to as "machine learning model") that performs machine learning on learning data and predicts the performance of the product based on the formulation, to predict the performance prediction value of the formulation. Machine learning can use, for example, supervised learning. In the machine learning model for predicting the performance of the product based on the formulation, by using learning data that associates the formulation with the performance of the product generated by the formulation, the correlation between the formulation and the performance of the product is learned, and the performance prediction value of the formulation is predicted based on this correlation.

[0083] The relevant detection unit 34 detects the correlation of the mixing ratios based on the learning data used in the machine learning of the machine learning model. The correlation of the mixing ratios includes the relationship of the sum and / or ratio of constants of the mixing ratios existing in the learning data. The sum of constants of the mixing ratios represents the relationship that the sum of the mixing ratios of multiple materials set in the same group is fixed as described below. In addition, the ratio of constants of the mixing ratios represents the relationship that the ratio of the mixing ratios of multiple materials set in the same group is fixed.

[0084] The grouping setting unit 36 sets groups based on the correlation of the mixing ratios. The setting of the groups can be manually performed by an operator according to the expected functions such as the filling material and the adhesive material, can be automatically performed according to the correlation of the mixing ratios detected by the relevant detection unit 34, or can be performed in the same way as inheriting a menu (past menu) recording past formulations.

[0085] The learning data storage unit 40 stores the learning data used in the machine learning. The machine learning model storage unit 42 stores the machine learning model. The grouping storage unit 44 stores the set groups.

[0086] <Formulation adjustment screen>

[0087] Figure 4 is a schematic diagram of an example of the formulation adjustment screen of this embodiment. Figure 4 The formulation adjustment screen 1000 includes a formulation adjustment column 1002 and a performance prediction value display column 1004. The formulation adjustment column 1002 includes a formulation diagram 1006. The formulation diagram 1006 is an example of displaying the adjustment of the mixing ratios of the received materials in the form of a tree diagram. The formulation diagram 1006 represents the formulation through a combination of graphics (hereinafter referred to as mixing ratio graphics) having areas corresponding to the mixing ratios. The larger the mixing ratio, the wider the area corresponding to the mixing ratio, and the smaller the mixing ratio, the narrower the area corresponding to the mixing ratio. It should be noted that the sum of the mixing ratios of materials 1, 2, 4 to 8 represented by the formulation diagram 1006 is 100%. The formulation diagram 1006 represents the overall situation of the formulation. The formulation diagram 1006 can also visually distinguish and display each mixing ratio graphic by color differentiation or hatching, etc. When the formulation of the material is represented by the mixing amount, the formulation diagram 1006 can be represented by a Marimekko chart (also called a mosaic chart).

[0088] The marker 1010 shown on the formulation diagram 1006 indicates that the mixing ratios of "Material 4" and "Material 5" have a constant sum relationship. The marker 1012 shown on the formulation diagram 1006 indicates that the mixing ratios of "Material 6", "Material 7" and "Material 8" have a constant ratio relationship. It should be noted that the mixing ratios with a constant sum relationship are automatically checked in the checkboxes of the set group. The mixing ratios with a constant ratio relationship are automatically checked in the checkboxes of the materials set in the same group. For the mixing ratios with a constant ratio relationship, the checkboxes of the materials set in the same group are automatically ticked.

[0089] It should be noted that even for the mixing ratios of materials that are not in a constant sum or constant ratio relationship, the mixing ratios of the materials that do not accept the variable operation of the area of the mixing ratio graph can be specified by ticking in the checkbox.

[0090] The performance prediction value display bar 1004 displays the performance prediction value of the formulation (current formulation) represented by the formulation diagram 1006. In Figure 4 the performance prediction value display bar 1004, "Comparison 1" and "Comparison 2" are the performance prediction values of formulations different from the current formulation, which are saved as comparison examples by pressing the "Add to Comparison Object" button 1008 in the formulation adjustment bar 1002. In Figure 4 the performance prediction value display bar 1004, the performance prediction values of the current formulation, the "Comparison 1" formulation and the "Comparison 2" formulation are displayed for each performance in a bar graph.

[0091] In addition, as Figures 5 - 7 shown, the formulation adjustment screen 1000 of the present embodiment accepts the variable operation of the area of the mixing ratio graph from the operator and adjusts the mixing ratio based on this variable operation.

[0092] Figure 5 is an explanatory diagram of an example of the variable operation of the area of the mixing ratio graph. In Figure 5 it, based on the variable operation of the areas of the mixing ratio graphs of "Material 1" and "Material 2" in the formulation diagram 1006, the adjustment of the mixing ratios of "Material 1" and "Material 2" can be accepted. The operator can perform the variable operation of the areas of the mixing ratio graphs of "Material 1" and "Material 2" by dragging the line between the mixing ratio graphs of "Material 1" and "Material 2" in Figure 5 the formulation diagram 1006 to move it left and right.

[0093] It should be noted that the variable operation on the area of the ratio graph can be performed by the operator specifying the ratio graph for expanding the area and the ratio graph for shrinking the area, or by the operator specifying the ratio graph for expanding the area and equally dividing the other ratio graphs for shrinking. Based on the variable operation on the area of the ratio graph in the formula chart 1006, the performance prediction value of the current formula displayed in the performance prediction value display column 1004 changes.

[0094] Figure 6 It is an explanatory diagram of an example of the variable operation on the area of the ratio graph in the constant and relationship. In Figure 6 Based on the variable operation on the area of the ratio graphs of "Material 4" and "Material 5" in the formula chart 1006, the adjustment of the ratios of "Material 4" and "Material 5" can be accepted. By dragging the operator, the Figure 6 The line between the ratio graphs of "Material 4" and "Material 5" set in the same "Group 1" moves up and down, and the variable operation on the area of the ratio graphs of "Material 4" and "Material 5" can be performed.

[0095] In Figure 6 In the formula chart 1006 of, the ratio graphs of "Material 4" and "Material 5" have a constant sum relationship. Figure 8 It is a diagram showing an example of the adjustment of the ratio when the ratio is in a constant sum relationship. Figure 8 It shows an example of "Material A" and "Material B" in the constant sum relationship. As Figure 8 shown, when the sum of "Material A" and "Material B" in the constant sum relationship is fixed at "10%", the ratio ratio (balance) can be adjusted from "Material A: 3%" and "Material B: 7%" to "Material A: 5%" and "Material B: 5%".

[0096] In Figure 6 In the formula chart 1006 of, since the horizontal width of the ratio graphs of "Material 4" and "Material 5" in the constant sum relationship is locked, when the sum of the ratios of "Material 4" and "Material 5" within "Group 1" is fixed, the ratio ratio (balance) of "Material 4" and "Material 5" can be adjusted. Therefore, the operator can adjust the ratios of the materials within the group without changing the sum of the ratios of the materials grouped based on the expected function within the group.

[0097] Figure 7 It is an explanatory diagram of an example of the variable operation on the area of the ratio graph in the constant ratio relationship. In Figure 7In [the content], based on variable operations on the areas of the ratio graphs of "Material 6", "Material 7", and "Material 8" in the formulation graph 1006, adjustments to the ratios of "Material 6", "Material 7", and "Material 8" can be accepted. By performing a drag operation on the horizontal widths of "Material 6", "Material 7", and "Material 8" in the same "Group 2", the operator can perform variable operations on the areas of the ratio graphs of "Material 6", "Material 7", and "Material 8".

[0098] In Figure 7 the formulation graph 1006, the ratio graphs of "Material 6", "Material 7", and "Material 8" have a constant ratio relationship. Figure 9 It is a diagram showing an example of the adjustment of the ratio when the ratio is in a constant ratio relationship. Figure 9 It shows an example of "Material A" and "Material B" having a constant ratio relationship. As Figure 9 shown, for "Material A" and "Material B" in the constant ratio relationship, the sum of the ratios of "Material A" and "Material B" within the group can be adjusted from "10%" to "8%" while keeping the ratio (balance) within the group fixed.

[0099] In Figure 7 the formulation graph 1006, since the ratio graphs of "Material 6", "Material 7", and "Material 8" in the constant ratio relationship are locked to the ratio (balance) of "Material 6", "Material 7", and "Material 8" in "Group 2", the sum of the ratios of "Material 6", "Material 7", and "Material 8" can be adjusted while keeping the ratio of "Material 6", "Material 7", and "Material 8" in "Group 2" fixed.

[0100] According to the formulation graph 1006 of the formulation adjustment screen 1000 of the present embodiment, while grouping materials according to the expected function, the overall formulation can be grasped and the ratios of the materials can be adjusted simultaneously.

[0101] Figure 4 The formulation graph 1006 shown, etc. is an example, and it can also be Figure 10 the formulation graph 1020 shown. Figure 10 It is a schematic diagram showing an example of the formulation graph of the present embodiment. Figure 10 The formulation graph 1020 of Figure 4 is also displayed on the formulation adjustment bar 1002 of the formulation adjustment screen 1000 such as

[0102] The formulation graph 1020 is an example of displaying the acceptance of the adjustment of the ratio of the materials in the form of a Sunburst Chart. The Sunburst Chart is a hierarchical pie chart. Figure 10The formulation diagram 1020 represents the formulation by a combination of graphs having areas corresponding to the formulation ratios of "Material 1", "Material 2", "Group 1", and "Group 2" on the inner circle.

[0103] Figure 10 The formulation diagram 1020 represents the formulation by a combination of graphs (hereinafter referred to as formulation ratio graphs) having areas corresponding to the formulation ratios of "Material 1", "Material 2", "Material 4", "Material 5", "Material 6", "Material 7", and "Material 8" on the outer circle. The sum of the formulation ratios of Materials 1, 2, 4 to 8 represented by the outer circle of the formulation diagram 1020 is 100%. The formulation diagram 1020 represents the overall situation of the formulation.

[0104] The mark 1022 shown on the formulation diagram 1020 indicates that the formulation ratios of "Material 4" and "Material 5" are in a constant sum relationship. The mark 1024 shown on the formulation diagram 1020 indicates that the formulation ratios of "Material 6", "Material 7", and "Material 8" are in a constant ratio relationship.

[0105] In addition, the formulation diagram 1020 is the same as Figures 5 - 7 the formulation diagram 1006 shown, accepts variable operations on the areas of the formulation ratio graphs from the operator, and adjusts the formulation ratios based on the variable operations.

[0106] The formulation diagram 1006 of the formulation adjustment screen 1000 according to the present embodiment can grasp the overall formulation while grouping materials according to the expected functions and simultaneously adjust the formulation ratios of the materials.

[0107] <Avoiding Taboo Formulations>

[0108] It is desired that the formulation design assistance device 10 according to the present embodiment can prohibit or automate the change in the area of the formulation ratio graph to avoid formulations (taboo formulations) with uncertain performance prediction values of the performance prediction unit 32 on the formulation adjustment screen 1000. Taboo formulations are formulations with uncertain performance prediction values generated by inheritance from past menus or a limited number of experiments (the number of experiments that cannot be comprehensively carried out due to working hours).

[0109] Therefore, the formulation design assistance device 10 according to the present embodiment detects the relevant relationships existing in the formulation ratios of the materials based on the learning data and / or past menus, and grasps the formulations that do not satisfy the detected relevant relationships as taboo formulations, so that the operator can adjust the formulation ratios of the materials while avoiding taboo formulations.

[0110] The correlation existing in the mixing ratio of materials can be detected based on learning data and / or past formulations as follows using the Variance Inflation Factor (VIF). First, when detecting the correlation existing in the mixing ratio of materials based on learning data, select the material X to be examined target .

[0111] Next, by using, for example, the least absolute value method, RANSAC (Random Sample Consensus), Theil-Sen regression, etc., formulate a regression equation (prediction equation) for X target using the materials other than X as explanatory variables targe for Xt

[0112] Figure 11 is a diagram showing an example of the regression equation using the least absolute value method, RANSAC, or Theil-Sen regression. As Figure 11 shown, by observing the learning data, assume the correlation between the mixing ratio of material A and the mixing ratio of material B is "material A = 3 × material B" between material A and material B. Among them, there are outlier data. If the ordinary least squares method is used, due to the influence of the outlier data, the formulated correlation may be disrupted, for example, like "material A = 2.9 × material B - 0.1". On the other hand, if the least absolute value method or RANSAC is used, by suppressing the influence of the outlier data on the robustness, the correlation between material A and material B "material A = 3 × material B" can be obtained. As described above, the formulation design assistance device 10 according to the present embodiment detects the correlation existing in the mixing ratio of materials in the form of the constant sum and constant ratio of the mixing ratio as simple as possible

[0113] Next, calculate the VIF based on the reproducibility (R target value) of X 2 . If the VIF is a threshold value (for example, 10 or more), it is considered that the correlation holds, and the regression equation is saved. The saved regression equation represents the correlation of the expected mixing ratio, such as the constant sum and constant ratio of the mixing ratio generated from the learning data and / or past formulations, etc

[0114] Therefore, according to the formulation design assistance device 10 of the present embodiment, according to the saved regression equation, in the form of locking the horizontal width of the mixing ratio graph when the mixing ratio shown Figure 6 is the constant sum relationship or locking the vertical width of the mixing ratio graph when the mixing ratio shown Figure 7 is the constant ratio relationship, the formulation graph 1006 is displayed to avoid the taboo mixing ratio

[0115] Note that the operator may also not cancel the grouping automatically set based on the correlation of the detected formulation ratio among the grouped materials displayed on the formulation adjustment screen 1000. For the correlation of the formulation ratio such as the sum of constants and the ratio of constants that cannot be expressed by a simple formula, the grouping notation may not be performed on the formulation adjustment screen 1000, but rather the area change of the formulation ratio graph may be prohibited or automated to avoid taboo formulations.

[0116] <Processing>

[0117] Hereinafter, a process of allowing an operator to adjust the formulation ratio by the formulation design support system 1 according to the present embodiment will be described. Figure 12 It is a flowchart showing an example of the process of the formulation design support system according to the present embodiment.

[0118] In step S10, the formulation design support device 10 detects the correlation existing in the formulation ratio of the materials based on the learning data, past formulations, etc., and grasps the formulations that do not satisfy the detected correlation as taboo formulations.

[0119] In step S12, the formulation design support device 10 displays Figures 4 - 7 the formulation adjustment screen 1000 for avoiding taboo formulations as shown. In step S14, the formulation design support device 10 accepts the operation of the operator on the formulation adjustment screen 1000.

[0120] In step S16, the formulation design support device 10 determines whether the operator has performed a variable operation on the area of the formulation ratio graph. If the operator has not performed a variable operation on the area of the formulation ratio graph, the formulation design support device 10 performs the process of step S20. If the operator has performed a variable operation on the area of the formulation ratio graph, the formulation design support device 10 performs the process of step S18.

[0121] In step S18, the formulation design support device 10 predicts the performance prediction value of the formulation represented by the formulation diagram 1006 adjusted by the operator's operation in step S14, and updates the performance prediction value of the current formulation in the performance prediction value display column 1004 of the formulation adjustment screen 1000. After the process of step S18, the formulation design support device 10 performs the process of step S20.

[0122] In step S20, the formulation design support device 10 determines whether to end the display of the formulation adjustment screen 1000. If the display of the formulation adjustment screen 1000 is not ended, the formulation design support device 10 returns to the process of step S14. If the display of the formulation adjustment screen 1000 is ended, the formulation design support device 10 ends Figure 12 the process in the flowchart.

[0123] [Other Embodiments]

[0124] In the present embodiment, an example of prohibiting or automating the area change of the ratio graph is described to avoid a formulation (taboo formulation) in which the performance prediction value of the performance prediction unit 32 is uncertain. For example, in the process of inverse problem analysis, when generating exhaustive search points at random or at a prescribed step size and using a learned machine learning model to predict the performance of the product corresponding to each exhaustive search point, the performance prediction value corresponding to the exhaustive search point that does not satisfy the detected correlation relationship can be visually distinguished and displayed as an uncertain performance prediction value.

[0125] As Figure 13 shown in the formulation adjustment column 1002 of Figures 4 - 7 the formulation adjustment screen 1000 shown, the input of the ratio from the operator can be accepted by setting at least one of the slider 1014 and the text box 1016. Figure 13 is a schematic diagram of an example of the formulation adjustment column of the formulation adjustment screen of the present embodiment. It should be noted that for fixed ratios such as ratios that are a constant sum relationship or ratios that are a constant ratio relationship, or ratios that are linked to other ratios, the input from the operator can also be not accepted by graying out the slider 1014 and the text box 1016, etc.

[0126] In addition, Figures 4 - 7 the formulation adjustment screen 1000 shown can display Figure 14 the profile shown, so that the operator can efficiently obtain the target performance. Figure 14 is a diagram showing an example of a profile in which the performance prediction value changes with the change of the ratio of the materials. By referring to Figure 14 the profile of, the operator can know the change of the performance prediction value when the ratio of the materials changes. For example, by referring to Figure 14 the profile of, the operator can know that when the ratio of "Material 2" increases, the performance prediction value of "Performance 1" decreases and the performance prediction value of "Performance 2" increases.

[0127] As described above, according to the formulation design support system 1 of the present embodiment, it is possible to assist the operator in adjusting the ratio of the materials while grasping the overall situation of the formulation. In addition, according to the formulation design support system 1 of the present embodiment, it is possible to prohibit or automate the area change of a part of the ratio graph so that the operator does not adjust the formulation with an uncertain performance prediction value.

[0128] For example, the formulation information adjusted by the formulation design support system 1 according to the present embodiment can be used as input information for a manufacturing apparatus that generates a product based on the formulation information. The manufacturing apparatus can proportion a plurality of materials according to the formulation information and generate a product.

[0129] The above describes the present embodiment, but it should be understood that various changes in form and details can be made without departing from the gist and scope of the claims. The present invention has been described based on the embodiment, but the present invention is not limited to the above embodiment, and various modifications can be made within the scope described in the claims. This application claims the priority of the basic application No. 2022-182597 filed with the Japan Patent Office on November 15, 2022, and the entire content thereof is incorporated herein by reference.

[0130] Explanation of reference numerals

[0131] 1 Formulation design assistance system

[0132] 10 Formulation design assistance device

[0133] 12 User terminal

[0134] 18 Communication network

[0135] 26 Formulation display control unit

[0136] 28 Performance prediction value display control unit

[0137] 30 Ratio adjustment acceptance unit

[0138] 34 Correlation detection unit

[0139] 36 Group setting unit

[0140] 1000 Formulation adjustment screen

[0141] 1002 Formulation adjustment column

[0142] 1004 Performance prediction value display column

[0143] 1006 Formulation diagram.

Claims

1. A formula design assistance device that enables an operator to adjust the mixing ratio of materials, and includes: A formula display control unit configured to display, on a formula adjustment screen, a formula represented by a combination of graphics having areas corresponding to the mixing ratios; A mixing ratio adjustment acceptance unit configured to accept adjustment of the mixing ratio based on a variable operation of the area of the graphics by the operator; and A performance prediction value display control unit configured to display a performance prediction value of the formula.

2. The formula design assistance device according to claim 1, wherein At least a part of the materials is grouped, The mixing ratio adjustment acceptance unit is configured to accept adjustment of the ratio of the mixing ratios of a plurality of the materials set in the same group while keeping the sum of the mixing ratios of the plurality of the materials set in the same group fixed.

3. The formula design assistance device according to claim 1 or 2, wherein At least a part of the materials is grouped, The mixing ratio adjustment acceptance unit is configured to accept adjustment of the sum of the mixing ratios of a plurality of the materials set in the same group while keeping the ratio of the mixing ratios of the plurality of the materials set in the same group fixed.

4. The formula design assistance device according to claim 1, wherein It further includes: a correlation detection unit configured to detect a correlation of the mixing ratio based on data used in machine learning of a machine learning model for predicting performance according to the formula, The mixing ratio adjustment acceptance unit is configured not to accept adjustment of the mixing ratio that does not follow the correlation.

5. The formula design assistance device according to claim 4, wherein It further includes: a grouping setting unit configured to set, for at least a part of the materials, a grouping based on the correlation.

6. The formula design assistance device according to claim 2 or 3, wherein It further includes: a correlation detection unit configured to detect a correlation of the mixing ratio based on data used in machine learning of a machine learning model for predicting performance according to the formula, The mixing ratio adjustment acceptance unit is configured not to accept adjustment of the mixing ratio that does not follow the correlation.

7. The formula design assistance device according to claim 6, wherein It further includes: a grouping setting unit configured to set, for at least a part of the materials, a grouping based on the correlation.

8. The formula design assistance device according to any one of claims 1 to 7, wherein At least a part of the materials is grouped, The formula display control unit is configured to display, on the formula adjustment screen, a formula diagram for receiving adjustment of the mixing ratio of the materials in the form of a tree diagram. By variably operating the area of the diagram in the first direction, when the ratio of the mixing ratios of the multiple materials set in the same group remains fixed, it receives adjustment of the sum of the mixing ratios of the multiple materials set in the same group. And by variably operating the area of the diagram in the second direction, when the sum of the mixing ratios of the multiple materials set in the same group remains fixed, it receives adjustment of the ratio of the mixing ratios of the multiple materials set in the same group.

9. The formula design assistance device according to any one of claims 1 to 7, wherein At least a part of the materials is set into groups, The formula display control unit is configured to display, on the formula adjustment screen, a formula diagram for receiving adjustment of the mixing ratio of the materials in the form of a sunburst diagram. By variably operating the area of the diagram obtained by dividing the first circle, when the ratio of the mixing ratios of the multiple materials set in the same group remains fixed, it receives adjustment of the sum of the mixing ratios of the multiple materials set in the same group. And by variably operating the area of the diagram obtained by dividing the second circle, when the sum of the mixing ratios of the multiple materials set in the same group remains fixed, it receives adjustment of the ratio of the mixing ratios of the multiple materials set in the same group.

10. A program for causing a formula design assistance device to function as the following units to enable an operator to adjust the mixing ratio of materials: A formula display control unit that displays, on a formula adjustment screen, a formula represented by a combination of diagrams having areas corresponding to the mixing ratios; A mixing ratio adjustment receiving unit that receives adjustment of the mixing ratio based on a variable operation of the area of the diagram by the operator; and A performance prediction value display control unit that displays the performance prediction value of the formula.

11. A formula design assistance method executed by a formula design assistance device that enables an operator to adjust the mixing ratio of materials, the formula design assistance method including: A formula display control step of displaying, on a formula adjustment screen, a formula represented by a combination of diagrams having areas corresponding to the mixing ratios; A mixing ratio adjustment receiving step of receiving adjustment of the mixing ratio by a variable operation of the area of the diagram by the operator; and A performance prediction value display control step of displaying the performance prediction value of the formula.

Images