Information processing apparatus and information processing method

By using information processing devices and methods to obtain and estimate the manufacturing conditions for the next batch, the problem of inter-batch influence in batch production is solved, thereby improving production efficiency and quality stability.

CN121586732APending Publication Date: 2026-02-27AGC INC
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Patent Information

Application Number
CN202480046008.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Priority Date
2023-07-12
Filing Date
2024-07-11
Publication Date
2026-02-27

AI Technical Summary

Technical Problem

In batch production, the manufacturing status of the previous batch can affect the manufacturing result of the next batch, but existing technologies have not fully studied the impact between batches.

Method used

By using information processing devices and methods, the manufacturing conditions and flow indicators of each batch are obtained, and the manufacturing conditions of the next batch, including raw materials, polymerization conditions and preparation status, are estimated using the corresponding information. The manufacturing result indicators are then fed back to stabilize production quality.

Benefits of technology

It enables timely reflection of the manufacturing results indicators of the previous batch in the assembly line mode, improves the production efficiency and quality of the next batch, stabilizes flow indicators, and adapts to changes in the manufacturing environment.

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Abstract

An information processing device is provided with: a manufacturing condition acquisition unit that acquires an nth manufacturing condition, which is a manufacturing condition of an nth polymerization process, which is a polymerization process of an nth batch, from among manufacturing conditions including an amount of a raw material index of a resin in a polymerization process and a polymerization condition index of the resin; a target value acquisition unit that acquires a target value of the fluidity index confirmed in the confirmation step of the mth batch after the nth batch; a manufacturing information provision unit that provides the target value acquired by the target acquisition unit and the nth manufacturing condition acquired by the manufacturing condition acquisition unit with respect to correspondence information that displays a correspondence relationship between the manufacturing condition and the fluidity index for each batch; a result acquisition unit that acquires, as an estimation result of the manufacturing conditions for the m-th batch of aggregation steps, an m-th manufacturing condition that is output on the basis of correspondence information between the n-th manufacturing condition and the target value; and a display unit that displays the estimation result acquired by the result acquisition unit.
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Description

TECHNICAL FIELD

[0001] The present disclosure relates to an information processing apparatus and an information processing method. BACKGROUND

[0002] In the past, there has been a manufacturing process of manufacturing resin or the like via a plurality of processes by a so-called batch production method. For such a manufacturing process, it is advantageous to be able to estimate a manufacturing result under certain manufacturing conditions. As for the estimation of the manufacturing result, for example, the technology described in Patent Literature 1 is disclosed.

[0003] PRIOR ART DOCUMENTS

[0004] PATENT LITERATURE

[0005] Patent Literature 1: Japanese Patent Application Publication No. 2022-080701 SUMMARY

[0006] PROBLEMS TO BE SOLVED BY THE INVENTION

[0007] In the batch production method, the manufacturing conditions of the manufacturing process of the previous batch sometimes affect the manufacturing result of the next batch. In other words, in the batch production method, the change in the manufacturing environment between the batches sometimes affects the manufacturing result.

[0008] However, the prior art has not sufficiently studied the influence between the batches.

[0009] The present disclosure is completed in consideration of such a situation, and aims to provide an information processing apparatus and an information processing method that can perform estimation taking into account the influence between the batches.

[0010] MEANS FOR SOLVING THE PROBLEMS

[0011] One aspect of the present disclosure is an information processing apparatus that is an information processing apparatus for manufacturing conditions of a manufacturing process that manufactures a fluororesin that is melt-formable for each batch, the manufacturing process including: a first process including a polymerization process; a second process that is a manufacturing process after the first process; and a third process including a confirmation process that confirms a flowability index that shows flowability of a resin manufactured via the first process and the second process. The information processing apparatus includes: a manufacturing condition acquisition section that acquires manufacturing conditions of an n-th (n is a natural number) polymerization process, that is, the polymerization process, of the n-th batch among the manufacturing conditions including a raw material index of the resin in the polymerization process and a polymerization condition index of the resin; a target value acquisition section that acquires a target value of the flowability index confirmed in the confirmation process of an m-th (m is a natural number larger than n) batch after the n-th batch; a manufacturing information provision section that provides the target value acquired by the target value acquisition section and the n-th manufacturing conditions acquired by the manufacturing condition acquisition section for correspondence information that shows a correspondence relationship between manufacturing conditions and flowability indices for each batch; a result acquisition section that acquires, as a result of estimation of manufacturing conditions of the polymerization process of the m-th batch, the m-th manufacturing conditions output in accordance with the correspondence information in which the n-th manufacturing conditions and the target value are provided; and a display section that displays the result of estimation acquired by the result acquisition section.

[0012] One aspect of the present disclosure is an information processing apparatus that is an information processing apparatus for manufacturing conditions of a manufacturing process in which a fluororesin that is melt-formable is manufactured for each batch, the manufacturing process including: a first process including a polymerization process; a second process that is a manufacturing process after the first process; and a third process including a confirmation process that displays a manufacturing result indicator of a manufacturing result of a resin manufactured via the first process and the second process. The information processing apparatus includes: a manufacturing condition acquisition section that acquires manufacturing conditions of an nth (n is a natural number) polymerization process, that is, the polymerization process, of the nth batch, that is, the manufacturing conditions of the nth manufacturing process; a first manufacturing information providing section that provides the manufacturing conditions acquired by the manufacturing condition acquisition section as manufacturing information for first correspondence information that indicates a correspondence relationship between the manufacturing conditions and the manufacturing result indicator confirmed in the confirmation process; a first result acquisition section that acquires the manufacturing result indicator output in accordance with the first correspondence information in which the nth manufacturing conditions are provided, as a manufacturing result indicator of the nth batch, that is, the nth manufacturing result indicator; a second manufacturing information providing section that provides the nth manufacturing result indicator acquired by the first result acquisition section and the nth manufacturing conditions acquired by the manufacturing condition acquisition section for second correspondence information that indicates a correspondence relationship between the manufacturing conditions of each batch and the manufacturing result indicator; a second result acquisition section that acquires the mth manufacturing conditions output in accordance with the second correspondence information in which the mth manufacturing conditions and the mth manufacturing result indicator are provided, as a result of estimation of the manufacturing conditions of the polymerization process of the mth batch; and a display section that displays the result of estimation acquired by the second result acquisition section.

[0013] One aspect of the present disclosure is an information processing method for displaying manufacturing conditions of a manufacturing process of a melt-formable fluororesin for each batch, the manufacturing process including: a first process including a polymerization process; a second process that is a manufacturing process after the first process; and a third process including a confirmation process of displaying a flowability index of a resin manufactured via the first process and the second process. The information processing method includes: acquiring manufacturing conditions of an n-th (n is a natural number) polymerization process, that is, an n-th manufacturing condition, of the polymerization process for an n-th batch among the manufacturing conditions including a raw material index of the resin in the polymerization process and a polymerization condition index of the resin; acquiring a target value of the flowability index confirmed in the confirmation process for an m-th (m is a natural number larger than n) batch after the n-th batch; providing the acquired target value and the acquired n-th manufacturing condition for correspondence information indicating a correspondence relationship between manufacturing conditions and flowability indices for each batch; acquiring the m-th manufacturing condition output in accordance with the correspondence information in which the n-th manufacturing condition and the target value are provided, as a result of estimation of manufacturing conditions of the polymerization process for the m-th batch; and displaying the acquired estimation result.

[0014] One aspect of the present disclosure is an information processing method for displaying manufacturing conditions of a manufacturing process of a melt-formable fluororesin for each batch, the manufacturing process including: a first process including a polymerization process; a second process that is a manufacturing process after the first process; and a third process including a confirmation process of displaying a manufacturing result index of a manufacturing result of a resin manufactured via the first process and the second process. The information processing method includes: acquiring manufacturing conditions of an n-th (n is a natural number) polymerization process, that is, an n-th manufacturing condition, of the polymerization process for an n-th batch among the manufacturing conditions including a raw material index of the resin in the polymerization process, a polymerization condition index of the resin, and a preparation index showing a preparation state of a manufacturing apparatus; providing the acquired n-th manufacturing condition as manufacturing information for first correspondence information indicating a correspondence relationship between the manufacturing conditions and a manufacturing result index confirmed in the confirmation process; acquiring the manufacturing result index output in accordance with the first correspondence information in which the n-th manufacturing condition is provided, as an n-th manufacturing result index of the manufacturing result for the n-th batch; providing the acquired n-th manufacturing result index and the acquired n-th manufacturing condition for second correspondence information indicating a correspondence relationship between manufacturing conditions and manufacturing result indices for each batch; acquiring an m-th manufacturing condition output in accordance with the second correspondence information in which the n-th manufacturing condition and the n-th manufacturing result index are provided, as a result of estimation of manufacturing conditions of the polymerization process for an m-th batch; and displaying the acquired estimation result.

[0015] One aspect of the present disclosure is an information processing apparatus that displays manufacturing conditions of a melt-formable fluororesin manufactured through a batch manufacturing process including a first process and a second process that is a process subsequent to the first process. The information processing apparatus includes a manufacturing information providing unit that provides a target value and a manufacturing condition of the first process for correspondence information indicating a correspondence relationship between the manufacturing condition of the first process for a first batch among a plurality of batches, a manufacturing condition of the first process for a second batch subsequent to the first batch, and a target value of a state of a resin manufactured in the second batch; a result acquisition unit that acquires a manufacturing condition of the first process for the second batch that is output in accordance with the correspondence information in which the manufacturing condition and the target value are provided; and a display unit that displays the manufacturing condition acquired by the result acquisition unit as the manufacturing condition of the second batch.

[0016] One aspect of the present disclosure is an information processing method that displays manufacturing conditions of a melt-formable fluororesin manufactured through a batch manufacturing process including a first process and a second process that is a process subsequent to the first process. The information processing method includes providing a target value and a manufacturing condition of the first process for correspondence information indicating a correspondence relationship between the manufacturing condition of the first process for a first batch among a plurality of batches, a manufacturing condition of the first process for a second batch subsequent to the first batch, and a target value of a state of a resin manufactured in the second batch; acquiring a manufacturing condition of the first process for the second batch that is output in accordance with the correspondence information in which the manufacturing condition and the target value are provided; and displaying the manufacturing condition acquired as the manufacturing condition of the second batch.

[0017] One aspect of the present disclosure is an information processing apparatus that displays manufacturing conditions of a melt-formable fluororesin manufactured through a batch manufacturing process including a first process and a second process that is a process subsequent to the first process. The information processing apparatus includes a first manufacturing information providing unit that provides manufacturing conditions of the first process of a previous batch for first correspondence information that indicates a correspondence relationship between the manufacturing conditions of the first process of each batch and a manufacturing result index of a resin manufactured; a first result acquisition unit that acquires a manufacturing result index of the previous batch output in accordance with the first correspondence information for which the manufacturing conditions are provided, as a presumed manufacturing result; a second manufacturing information providing unit that provides the manufacturing conditions of the previous batch and the presumed manufacturing result for second correspondence information that indicates a correspondence relationship between the manufacturing conditions and the manufacturing result index; a second result acquisition unit that acquires manufacturing conditions of a next batch output in accordance with the second correspondence information for which the manufacturing conditions of the previous batch and the presumed manufacturing result are provided, as a presumed result of the manufacturing conditions; and a result display unit that displays the presumed result of the manufacturing conditions of the next batch.

[0018] One aspect of the present disclosure is an information processing method that displays manufacturing conditions of a melt-formable fluororesin manufactured through a batch manufacturing process including a first process and a second process that is a process subsequent to the first process. The information processing method includes providing manufacturing conditions of the first process of a previous batch for first correspondence information that indicates a correspondence relationship between the manufacturing conditions of the first process of each batch and a manufacturing result index of a resin manufactured; acquiring a manufacturing result index of the previous batch output in accordance with the first correspondence information for which the manufacturing conditions are provided, as a presumed manufacturing result; providing the manufacturing conditions of the previous batch and the presumed manufacturing result for second correspondence information that indicates a correspondence relationship between the manufacturing conditions and the manufacturing result index; acquiring manufacturing conditions of a next batch output in accordance with the second correspondence information for which the manufacturing conditions of the previous batch and the presumed manufacturing result are provided, as a presumed result of the manufacturing conditions; and displaying the presumed result of the manufacturing conditions of the next batch.

[0019] Effects of Invention

[0020] According to the information processing apparatus and the information processing method of the present disclosure, a presumed result that takes into account influences between batches in a batch production method can be obtained. BRIEF DESCRIPTION OF DRAWINGS

[0021] Figure 1 is a diagram of a configuration example of an information processing system of the first embodiment.

[0022] Figure 2is a diagram of one example of a manufacturing process of the present embodiment.

[0023] Figure 3 is a diagram of one example of a functional configuration of the information processing apparatus of the present embodiment.

[0024] Figure 4 is a diagram of one example of the correspondence information of the present embodiment.

[0025] Figure 5 is a diagram of one example of a search result of the correspondence information of the present embodiment.

[0026] Figure 6 is a diagram of one example of an operation flow of the information processing apparatus of the present embodiment.

[0027] Figure 7 is a diagram of one example of a functional configuration of the information processing apparatus of the second embodiment.

[0028] Figure 8 is a diagram of one example of a search result of the first correspondence information of the present embodiment.

[0029] Figure 9 is a diagram of one example of an operation flow of the information processing apparatus of the present embodiment. DETAILED DESCRIPTION

[0030] [First Embodiment]

[0031] An embodiment of the present disclosure will be described below with reference to the drawings.

[0032] Figure 1 is a diagram of one example of a configuration of the information processing system 1 of the present embodiment.

[0033] The information processing system 1 is provided with an input apparatus 2, an information processing apparatus 3, a data server 4, and a display apparatus 5.

[0034] The input apparatus 2 has a function of inputting information from the outside. For example, the input apparatus 2 has an operation section (not illustrated) that has a function of inputting information according to an operation performed by a user. Alternatively, the input apparatus 2 can input information from another external apparatus (for example, a manufacturing management apparatus) without going through the user.

[0035] The information processing apparatus 3 is constituted by, for example, a computer.

[0036] The data server 4 stores various kinds of information. In the present embodiment, the data server 4 stores a learned model, a program corresponding to the learned model, a past manufacturing result record table, and the like.

[0037] The learned model or the past manufacturing result record table can be stored in the data server 4 in advance, or can be updated from the outside at any point in time.

[0038] Here, as the learned model, an arbitrary model can be used, and for example, a neural network model can be used.

[0039] The display device 5 has a function of outputting information to the outside. For example, the display device 5 has a display portion (not shown) that has a function of displaying output display object information on a screen.

[0040] [Manufacturing Process]

[0041] Figure 2 is a diagram of an example of the manufacturing process of the present embodiment. The manufacturing process of the present embodiment is a process of manufacturing a product (or a semi-finished product, the same in the following description) per batch (or per lot, the same in the following description). In the following description, the manufacturing method of manufacturing a product per batch will be simply referred to as a batch production method. That is, the manufacturing process of the present embodiment adopts the batch production method.

[0042] "Melt-formability" means exhibiting melt flowability. "Exhibiting melt flowability" means that there is a temperature at which the melt flow rate reaches 0.1 to 1000 g / 10 minutes at a temperature of 20°C or higher than the melting point of the resin under a load of 49 N. "Melt flow rate" means the melt flow rate (MFR) defined in JIS K 7210:1999 (ISO 1133:1997).

[0043] As the melt-formable fluororesin, a copolymer (hereinafter also referred to as "ETFE") containing tetrafluoroethylene (hereinafter also referred to as "TFE") units and ethylene (hereinafter also referred to as "E") units as essential units, and the total proportion of the TFE units and the E units with respect to the total units of the melt-formable fluororesin is 80 mol% or more, ethylene tetrafluoroethylene, a copolymer (hereinafter also referred to as "PFA") containing TFE units and perfluoro(alkyl vinyl ether) (hereinafter also referred to as "PAVE") units as essential units, the proportion of the PAVE units with respect to the total of the TFE units and the PAVE units is 0.1 mol% or more and less than 20 mol%, and the total proportion of the TFE units and the PAVE units with respect to the total units of the melt-formable fluororesin is 80 mol% or more, a copolymer (hereinafter also referred to as "FEP") containing TFE units and hexafluoropropylene (hereinafter also referred to as "HFP") as essential units, and the total proportion of the TFE units and the HFP units with respect to the total units of the melt-formable fluororesin is 80 mol% or more, and a polymer (hereinafter referred to as "PVdF") consisting only of vinylidene fluoride (hereinafter also referred to as "VdF") units as essential units can be exemplified. Among these, ETFE, PFA, FEP are preferable, ETFE, PFA are more preferable, and ETFE is further preferable.

[0044] From the viewpoints of heat resistance, mechanical properties, chemical resistance, and the like, ETFE, PFA, and FEP can further include a unit based on another monomer other than the above-described units. As the other monomer, a fluoroalkyl ethylene, propylene, chloroethylene, vinylidene chloride, fluoroethylene, a monomer having an oxygen polar group, a monomer having a fluorine atom and a nitrile group, and a monomer having a fluorine atom and multiple vinyl groups can be exemplified.

[0045] In the case of ETFE, as the other monomer unit, a PAVE unit, an HFP unit, and a VdF unit can be included. In the case of PFA, as the other monomer unit, an E unit, an HFP unit, and a VdF unit can be included. In the case of FEP, as the other monomer unit, an E unit, a PAVE unit, and a VdF unit can be included.

[0046] In the case of ETFE, a fluoroalkyl ethylene unit is preferably included. As the fluoroalkyl ethylene, CH2=CH(CF2)2F, CH2=CH(CF2)3F, CH2=CH(CF2)4F, CH2=CF(CF2)3H, CH2=CF(CF2)4H, preferably CH2=CH(CF2)2F, CH2=CH(CF2)4F can be exemplified.

[0047] As the PAVE and the other monomer, the monomers described in International Publication No. 2020 / 196779 can be used.

[0048] In the case where the melt-formable fluororesin further includes a unit based on another monomer, the proportion of the unit based on the other monomer with respect to the total units of the melt-formable fluororesin is preferably 0.01 to 20.0 mol%, more preferably 0.05 to 15.0 mol%, and further preferably 0.1 to 10.0 mol%. The melt-formable fluororesin can not include a unit based on another monomer.

[0049] In the manufacturing process of the present embodiment, a first process PC1, a manufacturing process after the first process PC1, i.e., a second process PC2, and a third process PC3 are included.

[0050] As an example, the first process PC1 includes a polymerization process PC11. The second process PC2 includes an evaporation recovery process PC21 and a drying process PC22. The third process PC3 includes a confirmation process PC31. In the confirmation process PC31, the quality (e.g., flowability) and the production efficiency (e.g., yield) of the resin manufactured via the first process PC1 and the second process PC2 are confirmed. An index of the flowability confirmed in the confirmation process PC31 is also referred to as a flowability index. An index of the yield confirmed in the confirmation process PC31 is also referred to as a yield.

[0051] That is, the manufacturing process of the present embodiment is a process of manufacturing resin by each batch, and includes: a first process PC1 including a polymerization process PC11; a second process PC2 which is a manufacturing process after the first process PC1; and a third process PC3 including a confirmation process PC31 of displaying a flowability index 442 of flowability of resin manufactured via the first process PC1 and the second process PC2.

[0052] In the first process PC1, other processes can be included in addition to the polymerization process PC11. In the second process PC2, other processes can be included in addition to the evaporation recovery process PC21 and the drying process PC22. In the third process PC3, other processes can be included in addition to the confirmation process PC31.

[0053] In the following description, a manufacturing process after a certain manufacturing process is simply referred to as a "subsequent process", and a manufacturing process before a certain manufacturing process is simply referred to as a "previous process". For example, the second process PC2 and the third process PC3 are subsequent processes of the first process PC1.

[0054] The information processing device 3 of the present embodiment displays the manufacturing conditions PM1 of the first process PC1 (particularly, the polymerization process PC11) among these manufacturing processes.

[0055] In the same drawing, the first batch BT1 to the third batch BT3 among a plurality of batches of manufacturing processes are shown as an example, and the description of the batches after the third batch BT3 is omitted.

[0056] The first batch BT1 to the third batch BT3 all have the polymerization process PC11, the evaporation recovery process PC21, the drying process PC22, and the confirmation process PC31. The polymerization process PC11 of the first batch BT1 is also referred to as a first polymerization process PC111. Similarly, the evaporation recovery process PC21 of the first batch BT1 is referred to as a second evaporation recovery process PC212, the drying process PC22 is referred to as a first drying process PC221, and the confirmation process PC31 is referred to as a third confirmation process PC313.

[0057] The processes of the second batch BT2 and the third batch BT3 are the same as those of the first batch BT1, and thus the description thereof is omitted.

[0058] In the example of the present embodiment, the first batch BT1 to the third batch BT3 are batches adjacent to each other on a time axis. That is, the batch subsequent to the first batch BT1 is the second batch BT2, and the batch subsequent to the second batch BT2 is the third batch BT3.

[0059] In the following description, batches adjacent to each other on a time axis are also referred to as an n-th batch BT(n), an (n+1)-th batch BT(n+1), an (n+2)-th batch BT(n+2), and the like. Here, n is a natural number.

[0060] In addition, any batch after the nth batch BT(n) is also described as the mth batch BT(m). Here, m is a natural number larger than n.

[0061] Further, in particular, in the relationship between the nth batch BT(n) and the (n+1)th batch BT(n+1), the nth batch BT(n) is referred to as a "previous batch", and the (n+1)th batch BT(n+1) is referred to as a "next batch" or a "subsequent batch".

[0062] The nth batch BT(n) starts at time t1S and ends at time t1E. The (n+1)th batch BT(n+1) starts at time t2S and ends at time t2E. The (n+2)th batch BT(n+2) starts at time t3S and ends at time t3E.

[0063] The 1st process PC1 (e.g., the 1st polymerization process PC111 shown in the same drawing) of the nth batch BT(n) ends at time t11E. From the time t11E at which the 1st polymerization process PC111 ends to the time t2S at which the 2nd polymerization process PC112 starts, maintenance work (e.g., light cleaning, heavy cleaning, replenishment or replacement of consumables, repair or replacement of a failure site, etc.) of the manufacturing equipment used in the polymerization process PC11 is performed. In the following description, the maintenance work of the manufacturing equipment is also referred to as a preparation work.

[0064] In one example of the present embodiment, the time t2S at which the (n+1)th batch BT(n+1) starts is earlier than the time t1E at which the nth batch BT(n) ends. That is, in the batch production method of the present embodiment, the next batch is started before the previous batch ends.

[0065] In the following description, the batch production method configured to start the next batch before the previous batch ends is also referred to as a flow line method.

[0066] On the other hand, the batch production method configured to start the next batch after the previous batch ends is also referred to as a non-flow line method.

[0067] The flow line method has a shorter idle time of the manufacturing equipment than the non-flow line method. Therefore, the flow line method can improve the operation efficiency of the manufacturing equipment compared to the non-flow line method.

[0068] As described above, in the confirmation process PC31 of each batch, manufacturing result indicators such as production efficiency (e.g., yield) of the resin, quality (e.g., flowability of the resin; Melt Flow Rate (FR), presence or absence of contamination), etc. are confirmed.

[0069] In one example of this embodiment, among these manufacturing result indicators, the proportion dominated by the manufacturing conditions PM1 (e.g., raw material index 420, polymerization condition index 430) of the first process PC1 (especially the polymerization process PC11) is higher than the proportion dominated by the indicators of the manufacturing conditions of the subsequent process, namely the second process PC2. That is, the manufacturing conditions PM1 of the polymerization process PC11 have a dominant influence on these manufacturing result indicators.

[0070] Therefore, in order to stabilize (or improve) the output or quality of each batch, it is preferable to feed back the manufacturing results of the previous batch into the manufacturing conditions PM1 of the polymerization process PC11 of the next batch.

[0071] On the other hand, when the above-mentioned production line method is adopted, the next batch of polymerization process PC11 (e.g., the second polymerization process PC112) begins before the manufacturing result indicators are obtained in the previous batch of confirmation process PC31 (e.g., the first confirmation process PC311).

[0072] For example, in Figure 2 In one example shown, the start time t2S of the second polymerization step PC112 for the (n+1)th batch of BT(n+1) is earlier than the time t1E at which the manufacturing result index of the nth batch of BT(n) is obtained. In another example in the same figure, the manufacturing result index of the nth batch of BT(n) is fed back into the manufacturing condition PM1 of the third polymerization step PC113, which starts at time t3S after time t1E.

[0073] That is, when using the assembly line method, it is impossible to feed back the manufacturing result indicators confirmed in the previous batch confirmation process PC31 to the manufacturing conditions PM1 of the next batch polymerization process PC11.

[0074] If the manufacturing results indicators of the previous batch can be fed back into the manufacturing conditions PM1 of the polymerization process PC11 in the next batch, the production efficiency and quality of the next batch can be stabilized (or improved), so this is preferred.

[0075] The information processing device 3 of this embodiment provides a function that can feed back the manufacturing result index PM3 of the previous batch to the manufacturing condition PM1 of the polymerization process PC11 of the next batch. The specific functional configuration of the information processing device 3 will be described below.

[0076] [Functional Composition of Information Processing Device 3]

[0077] Figure 3 This is a diagram illustrating an example of the functional configuration of the information processing device 3 in this embodiment.

[0078] The information processing apparatus 3 includes, as its software functional section (or hardware functional section), a manufacturing condition acquisition section 310, a target value acquisition section 320, a manufacturing information providing section 330, a result acquisition section 340, and a display section 350.

[0079] Here, the n-th batch BT(n) is assumed to be the preceding batch, and the (n+1)-th batch BT(n+1) is assumed to be the following batch.

[0080] The manufacturing condition acquisition section 310 acquires the manufacturing condition PM1 of the n-th batch BT(n) (i.e., the preceding batch). In the following description, the manufacturing condition PM1 of the n-th batch BT(n) is also referred to as the n-th manufacturing condition PM1-(n).

[0081] The manufacturing condition PM1 includes a raw material index 420 and a polymerization condition index 430.

[0082] In the raw material index 420, as an example, the amount of the above-described other monomer, the amount of a polymerization initiator (e.g., t-butyl peroxy pivalate; PBPV), the amount of a chain transfer agent (e.g., methanol), the composition of a recovered gas and the composition of a recovered solvent in the evaporation recovery process PC21, and the like are included.

[0083] The polymerization condition index 430 includes a polymerization start pressure, a polymerization pressure, a polymerization time, the total supply amount of monomers of the above-described necessary units (e.g., the total supply amount of E and TFE in the case of ETFE), an inertia analysis value, the operating condition of an agitator of a polymerization tank, and the like.

[0084] That is, the manufacturing condition acquisition section 310 acquires the manufacturing condition PM1 of the n-th (n is a natural number) batch of the polymerization process PC11, i.e., the n-th polymerization process PC11-(n), in the manufacturing condition PM1 including the raw material index 420 and the polymerization condition index 430 of the resin in the polymerization process PC11.

[0085] Here, the n-th manufacturing condition PM1-(n) can be provided via the user operation input apparatus 2, or can be provided from another external apparatus (e.g., a manufacturing management apparatus) without the user. That is, the manufacturing condition acquisition section 310 can acquire the n-th manufacturing condition PM1-(n) via the user, or can acquire the n-th manufacturing condition PM1-(n) from another external apparatus without the user.

[0086] The target value acquisition section 320 acquires a target value of the flowability index 442 of the resin manufactured in the m-th batch BT(m). As an example, the m-th batch BT(m) is the following batch, i.e., the (n+1)-th batch BT(n+1), of the n-th batch BT(n). That is, the target value acquisition section 320 acquires a target value of the following batch of the n-th batch BT(n) which is the acquisition target of the manufacturing condition acquisition section 310.

[0087] In other words, the target value acquisition section 320 acquires the target value of the flowability index 442 confirmed in the mth confirmation process PC31-(m) of the mth batch BT(m) (m is a natural number larger than n) after the nth batch BT(n).

[0088] The manufacturing information providing section 330 provides the data server 4 with the target value of the mth batch BT(m) acquired by the target value acquisition section 320 and the nth manufacturing condition PM1-(n) acquired by the manufacturing condition acquisition section 310, as the corresponding information 400.

[0089] The corresponding information 400 is information indicating the correspondence relationship between the manufacturing condition PM1 of each batch and the manufacturing result index 440. Referring to Figure 4 An example of the corresponding information 400 will be described.

[0090] Figure 4 is a diagram of an example of the corresponding information 400 of the present embodiment. In the corresponding information 400, the batch number 410, the raw material index 420, the polymerization condition index 430, and the manufacturing result index 440 correspond to each other for each batch.

[0091] The raw material index 420 includes the amount of resin raw material 421, the amount of initiator 422, and the amount of chain transfer agent 423. The polymerization condition index 430 includes the polymerization start pressure 431, the polymerization pressure 432, and the polymerization time 433.

[0092] The raw material index 420 and the polymerization condition index 430 are examples of the manufacturing condition PM1.

[0093] The manufacturing result index 440 includes the yield 441 and the flowability index 442.

[0094] In the following description, the manufacturing condition PM1 of the batch number 410 being k (i.e., the kth batch) is also referred to as the kth manufacturing condition PM1-(k). In addition, the manufacturing result index 440 of the batch number 410 being k+1 (i.e., the k+1th batch) is also referred to as the k+1th manufacturing result index 440-(k+1). The flowability index 442 of the batch number 410 being k+1 (i.e., the k+1th batch) is also referred to as the k+1th flowability index 442-(k+1).

[0095] Returning to Figure 3 When the target value of the mth batch BT(m) and the nth manufacturing condition PM1-(n) are provided from the manufacturing information providing section 330, the data server 4 selects the mth manufacturing condition PM1-(m) from the corresponding information 400 when the preceding batch conforms to the nth manufacturing condition PM1-(n) and the following batch conforms to the target value of the mth batch BT(m).

[0096] Figure 5is an example of a diagram of a search result of the correspondence information 400 of the present embodiment. As an example, assume that the nth manufacturing condition PM1-(n) matches the manufacturing condition PM1 of the kth batch BT(k) (the kth manufacturing condition PM1-(k)), and the target value of the mth batch BT(m) matches the flow index 442 of the (k+1)th batch BT(k+1) (the (k+1)th flow index 442-(k+1)).

[0097] In this case, the data server 4 selects the manufacturing condition PM1 of the (k+1)th batch BT(k+1) (the (k+1)th manufacturing condition PM1-(k+1)) from the manufacturing conditions PM1 of the correspondence information 400.

[0098] A specific example of the case where (n = 10, m = n + 1, k = 1) in the above example will be described below. That is, assume that the 10th manufacturing condition PM1-(10) matches the manufacturing condition PM1-1 of the 1st batch BT1, and the target value of the 11th batch BT(11) matches the flow index 442 of the 2nd batch BT2 (the 2nd flow index 442-2).

[0099] In this case, the data server 4 selects the manufacturing condition PM1 of the 2nd batch BT2 (the 2nd manufacturing condition PM1-2) from the manufacturing conditions PM1 of the correspondence information 400.

[0100] In addition, the "match" described herein can be either that the values of the indices of the comparison objects are completely identical, or that the difference between the values of the indices of the comparison objects is within a prescribed range. For example, in the case where the target value of the MFR is 20 to 30, it is 22 to 26.

[0101] Returning to Figure 3 , the data server 4 outputs the selected (k+1)th manufacturing condition PM1-(k+1) (for example, the 2nd manufacturing condition PM1-2) as the estimation result of the manufacturing condition PM1 to the information processing apparatus 3.

[0102] The result acquisition section 340 acquires the manufacturing condition PM1 output by the data server 4 as the estimation result of the manufacturing condition PM1 of the polymerization process PC11 of the mth batch BT(m).

[0103] That is, the result acquisition section 340 acquires the mth manufacturing condition PM1-(m) output from the correspondence information 400 of the manufacturing condition PM1 and the target value, as the estimation result of the manufacturing condition PM1 of the polymerization process PC11 of the mth batch BT(m).

[0104] The display section 350 outputs the estimation result acquired by the result acquisition section 340 to the display apparatus 5. The display apparatus 5 displays the estimation result output by the display section 350.

[0105] That is, the display section 350 displays the estimation result obtained by the result obtaining section 340.

[0106] Referring to Figure 6 The operation flow of each functional section of the information processing device 3 will be described.

[0107] [Operation flow of information processing device 3]

[0108] Figure 6 is a diagram of an example of the operation flow of the information processing device 3 of the present embodiment.

[0109] The manufacturing condition PM1 of the polymerization process PC11 of the nth batch BT(n) is obtained by the manufacturing condition obtaining section 310 (i.e., the nth manufacturing condition PM1-(n)).

[0110] The target value of the flowability index 442 of the resin manufactured in the mth batch BT(m) is obtained by the target value obtaining section 320.

[0111] The nth manufacturing condition PM1-(n) obtained in step S10 and the target value of the mth batch BT(m) obtained in step S20 are provided to the corresponding information 400 of the data server 4 by the manufacturing information providing section 330. The data server 4 selects the mth manufacturing condition PM1-(m) when the preceding batch conforms to the nth manufacturing condition PM1-(n) and the following batch conforms to the target value of the mth batch BT(m) from the manufacturing conditions PM1 and the flowability index 442 of the corresponding information 400. The data server 4 outputs the selected mth manufacturing condition PM1-(m) as the estimation result of the manufacturing condition PM1 to the information processing device 3.

[0112] The mth manufacturing condition PM1-(m) output by the data server 4 is obtained as the estimation result of the manufacturing condition PM1 by the result obtaining section 340.

[0113] The estimation result of the manufacturing condition PM1 obtained in step S40 (i.e., the mth manufacturing condition PM1-(m)) is output to the display device 5 by the display section 350.

[0114] As described above, the information processing system 1 of the present embodiment estimates the manufacturing condition PM1 of the polymerization process PC11 of the next batch on the basis of the manufacturing result index of the polymerization process PC11 of the preceding batch and the target value of the next batch in the manufacturing process in the pipeline manner. Therefore, according to the information processing system 1 of the present embodiment, it is possible to feed back the manufacturing result index confirmed in the confirmation process PC31 of the preceding batch to the manufacturing condition PM1 of the polymerization process PC11 of the next batch at a stage before the end of the preceding batch.

[0115] According to the information processing system 1 thus configured, it is possible to capture a quality change of a manufactured product (e.g., resin) as early as possible and reflect it to the next batch as early as possible. That is, according to the information processing system 1, it is possible to make a timely recipe change.

[0116] Further, in the information processing system 1, the correspondence information 400 includes the amount 423 of chain transfer agent as the manufacturing condition PM1. In the polymerization process PC11 of resin, in a case where methanol is used as the chain transfer agent, a slight concentration change of methanol sometimes has a large influence on the flowability index 442 (e.g., MFR).

[0117] In this case, the manufacturing condition PM1 in the polymerization process PC11 (e.g., the amount of methanol as the chain transfer agent) has a larger influence on the flowability index 442 (e.g., MFR) than various manufacturing conditions in the post-process.

[0118] According to the information processing system 1 of the present embodiment, by taking into account the amount 423 of chain transfer agent to estimate the manufacturing condition PM1 of the next batch, it is possible to make the flowability index 442 (e.g., MFR) of the next batch more stable (or more improved).

[0119] Among them, as the chain transfer agent, there are exemplified alcohols such as methanol, ethanol, 2,2,2-trifluoroethanol, 2,2,3,3-tetrafluoropropanol, 1,1,1,3,3,3-hexafluoroisopropyl alcohol, 2,2,3,3,3-pentafluoroisopropyl alcohol; hydrocarbons such as n-pentane, n-hexane, cyclohexane; hydrofluorocarbons such as CFH.

[0120] [Modified Example]

[0121] Further, the information processing apparatus 3 can further take into account the preparation index PM2 to estimate the manufacturing condition PM1 of the polymerization process PC11 of the next batch.

[0122] Here, the preparation index PM2 is an index showing a preparation state of the manufacturing equipment. For example, the preparation index PM2 includes an implementation state of a maintenance activity such as cleaning of the equipment (e.g., the number of batches after a heavy cleaning operation), a replacement state of consumables such as a seal, a filter, a belt, a valve, a desiccant, oil (e.g., the number of batches after replacement of the valve, the seal).

[0123] That is, the manufacturing condition PM1 can include the preparation index PM2 showing the preparation state of the manufacturing equipment. In this case, the correspondence information 400 indicates a correspondence relation of the nth manufacturing condition PM1-(n), the mth manufacturing condition PM1-(m), and the mth manufacturing condition PM1-(m) including the preparation index PM2.

[0124] The manufacturing condition acquisition unit 310 acquires the nth manufacturing condition PM1-(n) including the preparation index PM2.

[0125] The manufacturing information providing section 330 provides, for the correspondence information 400, the target value and the nth manufacturing condition PM1-(n) including the preparation index PM2. That is, the manufacturing information providing section 330 provides, for the correspondence information 400, the nth manufacturing condition PM1-(n) taking into account the preparation index PM2.

[0126] As a result, the result acquiring section 340 acquires the estimation result of the manufacturing condition PM1 taking into account the preparation index PM2. The display section 350 outputs the estimation result of the manufacturing condition PM1 taking into account the preparation index PM2 to the display device 5.

[0127] Generally, if the preparation of the manufacturing equipment such as the heavy cleaning or the replacement of the consumables is performed, sometimes the change of the manufacturing environment between the previous batch and the next batch is large, or the manufacturing environment changes discontinuously. In addition, sometimes after the preparation of the manufacturing equipment, the manufacturing environment gradually changes as the number of batches increases.

[0128] According to the information processing system 1 thus configured according to the modification example, it is possible to acquire the estimation result of the manufacturing condition PM1 taking into account the preparation status of the manufacturing equipment. Therefore, according to the information processing system 1, even in the case where the manufacturing environment changes due to the preparation of the manufacturing equipment, it is possible to stabilize (or improve) the flowability index 442 (for example, MFR) of the next batch.

[0129] [Modification Example 2]

[0130] In addition, in the above-described embodiment, the correspondence information 400 has been described as information in the form of a list in which each batch manufacturing condition PM1 and the manufacturing result index 440 correspond (for example, a table as shown in FIG. 6), but is not limited thereto. Figure 4

[0131] The correspondence information 400 only needs to indicate the correspondence relation of the nth manufacturing condition PM1-(n), the mth manufacturing condition PM1-(m), and the target value of the mth batch BT(m) (that is, the manufacturing condition PM1 of the previous batch and the manufacturing condition PM1 and the target value of the next batch). For example, the correspondence information 400 can be a so-called learned model of the correspondence relation of the manufacturing condition PM1 of the previous batch, the manufacturing condition PM1 and the target value of the next batch learned by machine learning.

[0132] In this case, the data server 4 stores the correspondence information 400 as a learned model of the correspondence relation of the manufacturing condition PM1 of the previous batch, the manufacturing condition PM1 and the target value of the next batch learned by machine learning.

[0133] ​According to the information processing system 1 thus configured, since a large amount of information results learned effectively (or with high accuracy) by machine learning can be used, the next batch liquidity indicator 442 (e.g., MFR) can be made more stable (or improved).

[0134] In addition, the corresponding information 400 can also be installed by a conditional branching type program corresponding to the above-mentioned learned model of the input value and output value.

[0135] [Second Embodiment]

[0136] In the present embodiment, the information processing device 31 is provided instead of (or in addition to) the information processing device 3 in the first embodiment. The other configurations are the same as those of the first embodiment, and thus the description thereof is omitted.

[0137] Figure 7 is a diagram of an example of the functional configuration of the information processing device 31 of the second embodiment.

[0138] The information processing device 31 includes a manufacturing condition acquisition unit 311, a first manufacturing information providing unit 331, a second manufacturing information providing unit 332, a first result acquisition unit 341, a second result acquisition unit 342, an indicator display unit 351, and a result display unit 352 as functional units thereof.

[0139] The manufacturing condition acquisition unit 311 acquires the manufacturing condition PM1 of the nth polymerization process PC11-(n), i.e., the nth manufacturing condition PM1-(n).

[0140] The first manufacturing information providing unit 331 provides the nth manufacturing condition PM1-(n) acquired by the manufacturing condition acquisition unit 311 as manufacturing information for the first corresponding information 401.

[0141] The first corresponding information 401 is information indicating the correspondence relationship between the manufacturing condition PM1 of each batch and the manufacturing result indicator 440 confirmed in the confirmation process PC31. In an example of the present embodiment, the first corresponding information 401 has the same configuration as the above-mentioned corresponding information 400.

[0142] When the nth manufacturing condition PM1-(n) is provided by the first manufacturing information providing unit 331, the data server 4 searches the first corresponding information 401 and selects the manufacturing result indicator 440 that matches the nth manufacturing condition PM1-(n). The search result of the manufacturing result indicator 440 of the data server 4 is referred to as the manufacturing result indicator 440 of the nth batch. Figure 8 The description will be made.

[0143] Figure 8is a diagram of an example of a search result of the 1st correspondence information 401 of the present embodiment. As an example, assume that the manufacturing condition PM1 of the n-th batch BT(n) (n-th manufacturing condition PM1-(n)) coincides with the manufacturing condition PM1 of the k-th batch BT(k) (k-th manufacturing condition PM1-(k)).

[0144] In this case, the data server 4 selects the manufacturing result index 440 of the k-th batch BT(k) (k-th manufacturing result index 440-(k)) from the 1st correspondence information 401.

[0145] A specific example of the case where (n = 10, m = n + 1, k = 1) in the above example will be described below. That is, assume that the 10-th manufacturing condition PM1-(10) coincides with the manufacturing condition PM1-1 of the 1st batch BT1.

[0146] In this case, the data server 4 selects the manufacturing result index 440 of the 1st batch BT1 (1st manufacturing result index 440-1) from the 1st correspondence information 401.

[0147] Note that, as with the first embodiment, "coincide" as used herein can mean that the index values of the comparison targets are identical, or that the difference between the index values of the comparison targets is within a prescribed range.

[0148] Returning to Figure 7 , the data server 4 outputs the selected manufacturing result index 440 to the information processing apparatus 31.

[0149] The 1st result acquisition section 341 acquires the manufacturing result index 440 output from the 1st correspondence information 401 that provided the n-th manufacturing condition PM1-(n) as the manufacturing result index 440 of the n-th batch BT(n), that is, the n-th manufacturing result index 440-(n).

[0150] The index display section 351 outputs (that is, displays) the n-th manufacturing result index 440-(n) acquired by the 1st result acquisition section 341 to the display apparatus 5.

[0151] The 2nd manufacturing information provision section 332 provides, for the 2nd correspondence information 402, the n-th manufacturing result index 440 acquired by the 1st result acquisition section 341 and the n-th manufacturing condition PM1-(n) acquired by the manufacturing condition acquisition section 311.

[0152] The 2nd correspondence information 402 is information indicating the correspondence relationship between the manufacturing condition PM1 and the manufacturing result index 440 for each batch. In an example of the present embodiment, the 2nd correspondence information 402 has the same configuration as the above-described correspondence information 400.

[0153] When the n-th manufacturing condition PM1-(n) and the n-th manufacturing result index 440-(n) are provided by the 2nd manufacturing information providing section 332, the data server 4 retrieves the 2nd correspondence information 402, and selects the manufacturing condition PM1 of the next batch of the batch that matches the n-th manufacturing condition PM1-(n) and the n-th manufacturing result index 440-(n) (i.e., the (n+1)-th manufacturing condition PM1-(n+1)). The retrieval result of the manufacturing condition PM1 of the next batch by the data server 4 is referred to as the (n+1)-th manufacturing condition PM1-(n+1) in the following description. Figure 8 The operation of the information processing apparatus 3 will be described below.

[0154] As an example, assume that the n-th manufacturing condition PM1-(n) of the n-th batch BT(n) matches the k-th manufacturing condition PM1-(k) of the k-th batch BT(k), and the n-th manufacturing result index 440-(n) of the n-th batch BT(n) matches the k-th manufacturing result index 440-(k) of the k-th batch BT(k).

[0155] In this case, the data server 4 selects the manufacturing condition PM1 of the (k+1)-th batch BT(k+1) (the (k+1)-th manufacturing condition PM1-(k+1)) from the 2nd correspondence information 402.

[0156] A specific example of the case where (n = 10, m = n + 1, k = 1) in the above-described example will be described below. That is, assume that the 10-th manufacturing condition PM1-10 matches the 1-st manufacturing condition PM1-1 of the 1-st batch BT1, and the 10-th manufacturing result index 440-10 matches the 1-st manufacturing result index 440-1 of the 1-st batch BT1.

[0157] In this case, the data server 4 selects the manufacturing result index 440 of the next batch of the 1-st batch BT1, i.e., the 2-nd batch BT2 (the 2-nd manufacturing result index 440-2), from the 2nd correspondence information 402.

[0158] Note that the "match" described herein can be either that the index values of the comparison targets are identical, or that the difference between the index values of the comparison targets is within a predetermined range, as in the first embodiment.

[0159] The 2nd result acquisition section 342 acquires the m-th manufacturing condition PM1-(m) output from the 2nd correspondence information 402 in which the n-th manufacturing condition PM1-(n) and the n-th manufacturing result index 440-(n) are provided, as the estimation result of the manufacturing condition PM1 of the aggregation process PC11 of the m-th batch BT(m).

[0160] The result display section 352 outputs (displays) the estimation result acquired by the 2nd result acquisition section 342 to the display device 5.

[0161] The operation flow of each functional section of the information processing apparatus 3 described above will be described with reference to Figure 9 The operation of the information processing apparatus 3 will be described below.

[0162] [Operation flow of information processing device 3]

[0163] Figure 9 is a diagram of an example of an operation flow of the information processing device 31 of the present embodiment.

[0164] The manufacturing condition acquisition unit 311 acquires the manufacturing condition PM1 of the polymerization step PC11 of the nth batch BT(n) (i.e., the nth manufacturing condition PM1-(n)) (step S110).

[0165] The first manufacturing information provision unit 331 provides the nth manufacturing condition PM1-(n) acquired in step S10 to the first correspondence information 401 of the data server 4 (step S120).

[0166] The data server 4 selects the manufacturing result indicator 440 (the nth manufacturing result indicator 440-(n)) of the batch that matches the nth manufacturing condition PM1-(n) from the manufacturing conditions PM1 of the first correspondence information 401. The data server 4 outputs the selected nth manufacturing result indicator 440-(n) as the estimation result of the manufacturing result indicator 440 to the information processing device 31.

[0167] The first result acquisition unit 341 acquires the nth manufacturing result indicator 440-(n) output by the data server 4 as the estimation result of the manufacturing result indicator 440 (step S130).

[0168] The second manufacturing information provision unit 332 provides the nth manufacturing condition PM1-(n) acquired in step S110 and the nth manufacturing result indicator 440-(n) acquired in step S130 to the second correspondence information 402 (step S140).

[0169] The data server 4 selects the mth manufacturing condition PM1-(m) of the mth batch BT(m) that corresponds to the manufacturing conditions PM1 and the nth manufacturing condition PM1-(n) that match the second correspondence information 402 and the manufacturing result indicators 440 and the nth manufacturing result indicator 440-(n) that match the second correspondence information 402.

[0170] For example, in the case of (m = n + 1) described above, the data server 4 selects the manufacturing condition PM1 of the nth + 1 batch BT(n + 1), i.e., the next batch of the nth batch BT(n), i.e., the nth + 1 manufacturing condition PM1-(n + 1). The data server 4 outputs the selected nth + 1 manufacturing condition PM1-(n + 1) as the estimation result of the manufacturing condition PM1 to the information processing device 31.

[0171] The second result acquisition unit 342 acquires the estimation result of the manufacturing condition PM1 output in step S140 (step S150).

[0172] The result display section 352 outputs (i.e., displays) the result of the estimation of the manufacturing condition PM1 (i.e., the mth manufacturing condition PM1-(m)) of the batch acquired in step S150 to the display device 5.

[0173] As described above, the information processing system 1 of the present embodiment is provided with the information processing device 31. The information processing device 31 estimates the manufacturing result indicator 440 of the batch in accordance with the manufacturing result indicator of the preceding batch's polymerization process PC11 in the manufacturing process of the pipeline system. That is, the information processing device 31 is able to estimate the manufacturing result of the batch at a stage before the end of the batch after the end of the polymerization process PC11 (e.g., a stage before the start of the 2nd process PC2).

[0174] In addition, the information processing device 31 of the present embodiment estimates the manufacturing condition PM1 of the polymerization process PC11 of the next batch in accordance with the result of the polymerization process PC11 of the preceding batch and the estimated manufacturing result at the end of the preceding batch. That is, the information processing device 31 estimates the manufacturing condition PM1 of the next batch in accordance with the estimated manufacturing result while estimating the manufacturing result of the batch in accordance with the manufacturing result indicator of the polymerization process PC11 of the preceding batch.

[0175] Accordingly, the information processing device 31 of the present embodiment is able to feed back the manufacturing result indicator confirmed in the confirmation process PC31 of the preceding batch to the manufacturing condition PM1 of the polymerization process PC11 of the next batch at a stage before the end of the preceding batch.

[0176] According to the information processing system 1 thus configured, it is possible to capture a change in the quality of the manufactured product (e.g., resin) as early as possible and to reflect it in the next batch as early as possible. That is, according to the information processing system 1, it is possible to make a timely recipe change.

[0177] In addition, the information processing device 31 of the present embodiment is further provided with the indicator display section 351. The indicator display section 351 displays the manufacturing result indicator 440 of the preceding batch used in the estimation by the information processing device 31.

[0178] According to the information processing system 1 thus configured, it is possible to display the result of the estimation of the manufacturing result indicator 440 of the batch at the end of the polymerization process PC11 of the preceding batch to the user. Accordingly, it is possible to capture a change in the quality of the manufactured product (e.g., resin) as early as possible and to reflect it in the next batch as early as possible. That is, according to the information processing system 1, it is possible to make a timely recipe change.

[0179] [Modified Example]

[0180] Further, the information processing device 31 can also consider the preparedness index PM2 to estimate the manufacturing condition PM1 of the next lot in the polymerization process PC11, like the information processing device 3 described above.

[0181] According to the information processing device 31 thus configured, it is possible to obtain an estimation result of the manufacturing condition PM1 taking into account the preparedness of the manufacturing equipment. Therefore, according to the information processing system 1, it is possible to stabilize (or improve) the flowability index 442 (e.g., MFR) of the next lot even when the manufacturing environment changes due to the preparedness of the manufacturing equipment.

[0182] Further, the first correspondence information 401 and the second correspondence information 402 can also be a so-called learned model learned by machine learning, like the correspondence information 400 described above.

[0183] According to the information processing device 31 thus configured, it is possible to stabilize (or improve) the flowability index 442 (e.g., MFR) of the next lot more, since a large amount of information results learned effectively (or with high precision) by machine learning can be used.

[0184] Further, the first correspondence information 401 and the second correspondence information 402 can also install a correspondence relation corresponding to the input value and the output value of the learned model described above by a conditional branching type program.

[0185] Further, the information processing system 1 can be configured by appropriately combining the functions possessed by the information processing device 3 of the first embodiment and the information processing device 31 of the second embodiment, respectively.

[0186] Further, a program for realizing the functions of any of the configuration units in any of the devices described above can be recorded in a computer-readable recording medium, and a computer system can be caused to read in the program to execute. The "computer system" described here includes an operating system or a hardware such as a peripheral device. Further, the "computer-readable recording medium" refers to a removable medium such as a floppy disk, a magneto-optical disk, a ROM, a CD (Compact Disc)-ROM (Read Only Memory), and a storage device such as a hard disk built in a computer system. Further, the "computer-readable recording medium" also includes a medium that holds a program for a certain time, such as a volatile memory in a server or a computer system that becomes a client when the program is transmitted via a network such as the Internet or a communication line such as a telephone line. The volatile memory can be, for example, a RAM (Random Access Memory). The recording medium can be, for example, a non-transitory recording medium.

[0187] In addition, the above-described program can be transmitted from a computer system in which the program is stored in a storage device or the like to another computer system via a transmission medium or by a transmission wave in a transmission medium. Here, the "transmission medium" that transmits the program is a medium having a function of transmitting information, such as a network or a communication line like a telephone line.

[0188] In addition, the above-described program can be a program for realizing a part of the above-described functions. In addition, the above-described program can be a so-called differential file that can realize the above-described functions by a combination with a program already recorded in the computer system. The differential file can also be referred to as a differential program.

[0189] In addition, the function of any of the constituent parts in any of the devices described above can be realized by a processor. For example, each process in the embodiments can be realized by a processor that operates based on a program or the like, and a computer-readable recording medium that stores the program or the like. Here, the processor can realize the function of each part with a single hardware, or can realize the function of each part with an integrated hardware. For example, the processor can include a hardware that can include at least one of a circuit that processes a digital signal and a circuit that processes an analog signal. For example, the processor can be constituted by one or both of one or more circuit devices or one or more circuit elements mounted on a circuit board. As the circuit device, an IC (Integrated Circuit) or the like can be used, and as the circuit element, a resistor, a capacitor, or the like can be used.

[0190] Here, the processor can be, for example, a CPU. However, the processor is not limited to the CPU, and various processors such as a GPU (Graphics Processing Unit) or a DSP (Digital Signal Processor) can be used. In addition, the processor can be, for example, a hardware circuit based on an ASIC (Application Specific Integrated Circuit). Furthermore, the processor can be constituted by a plurality of CPUs, or can be constituted by a plurality of hardware circuits based on ASICs. In addition, the processor can be constituted by a combination of a plurality of CPUs and a plurality of hardware circuits based on ASICs. Furthermore, the processor can include one or more of an amplifier circuit or a filter circuit or the like that processes an analog signal.

[0191] The embodiments of the disclosure are described in detail above with reference to the accompanying drawings, but the specific structure is not limited to the embodiments, and designs and the like within a range not departing from the gist of the disclosure are included.

[0192] Explanation of Symbols

[0193] 1… information processing system, 2… input device, 3… information processing device, 4… data server, 5… display device, 310… manufacturing condition acquisition section, 320… target value acquisition section, 330… manufacturing information providing section, 340… result acquisition section, 350… display section, 400… correspondence information, 31… information processing device, 311… manufacturing condition acquisition section, 331… first manufacturing information providing section, 332… second manufacturing information providing section, 341… first result acquisition section, 342… second result acquisition section, 351… index display section, 352… result display section.

Claims

1. An information processing apparatus for displaying manufacturing conditions for each batch of a manufacturing process for producing melt-formable fluoropolymer, the manufacturing process comprising: The first step includes a polymerization step; the second step is a manufacturing step that follows the first step. And a third step, which includes a flowability indicator confirmation step that displays the flowability of the resin manufactured via the first and second steps. The information processing device includes: The manufacturing conditions acquisition unit acquires the manufacturing conditions of the nth batch of the polymerization process, i.e., the nth polymerization process, which includes the raw material indicators and polymerization condition indicators of the resin in the polymerization process, and the nth manufacturing conditions, where n is a natural number. The target value acquisition unit acquires the target value of the liquidity indicator confirmed in the confirmation process of the mth batch after the nth batch, where m is a natural number greater than n. The manufacturing information providing unit provides the target value obtained by the target acquisition unit and the nth manufacturing condition obtained by the manufacturing condition acquisition unit for corresponding information representing the correspondence between manufacturing conditions and flow indicators for each batch. The result acquisition unit acquires the m-th manufacturing condition output based on the corresponding information provided by the n-th manufacturing condition and the target value, and uses it as an estimate of the manufacturing conditions for the polymerization process in the m-th batch. as well as The display unit displays the estimated result acquired by the result acquisition unit.

2. The information processing apparatus as described in claim 1, wherein, The manufacturing conditions include preparation indicators that display the preparation status of the manufacturing equipment. The corresponding information represents the correspondence between the nth manufacturing condition (including the preparation index), the mth manufacturing condition, and the mth liquidity index. The manufacturing condition acquisition unit acquires the nth manufacturing condition, including the preparation index. The manufacturing information providing unit provides the target value and the nth manufacturing condition, including the preparation index, for the corresponding information.

3. An information processing apparatus for displaying manufacturing conditions for each batch of a manufacturing process for producing melt-formable fluoropolymer, the manufacturing process including: The first step includes a polymerization step; the second step is a manufacturing step that follows the first step. And a third step, which includes a confirmation step that displays manufacturing result indicators showing the manufacturing results of the resin produced via the first and second steps. The information processing device includes: The manufacturing conditions acquisition unit acquires the manufacturing conditions of the nth batch of the polymerization process, i.e., the nth polymerization process, which includes the raw material indicators of the resin in the polymerization process, the polymerization condition indicators of the resin, and the preparation indicators that display the preparation status of the manufacturing equipment, where n is a natural number. The first manufacturing information providing unit provides the nth manufacturing condition acquired by the manufacturing condition acquisition unit as manufacturing information for the first correspondence information representing the correspondence between the manufacturing conditions and the manufacturing result indicators confirmed in the confirmation process. The first result acquisition unit acquires the manufacturing result index output based on the first corresponding information provided by the nth manufacturing condition, and uses it as the manufacturing result index of the nth batch, i.e., the nth manufacturing result index. The second manufacturing information providing unit provides the nth manufacturing result index acquired by the first result acquisition unit and the nth manufacturing conditions acquired by the manufacturing condition acquisition unit for the second correspondence information representing the correspondence between manufacturing conditions and manufacturing result indicators for each batch. The second result acquisition unit acquires the m-th manufacturing conditions output based on the second corresponding information provided with the n-th manufacturing conditions and the n-th manufacturing result index, as an estimate of the manufacturing conditions for the polymerization process in the m-th batch; and The result display unit displays the estimated result obtained by the second result acquisition unit.

4. The information processing apparatus as described in claim 3, wherein, It also has: An indicator display unit that displays the nth manufacturing result indicator acquired by the first result acquisition unit.

5. An information processing method, comprising processing information on manufacturing conditions for each batch of manufacturing processes for producing melt-formable fluoropolymers, the manufacturing processes including: The first step includes a polymerization step; the second step is a manufacturing step that follows the first step. And a third step, which includes a flowability indicator confirmation step that displays the flowability of the resin manufactured via the first and second steps. The information processing method includes: Obtain the manufacturing conditions for the nth batch of the polymerization process, i.e., the nth polymerization process, which include the raw material indicators and polymerization condition indicators of the resin in the polymerization process, where n is a natural number. Obtain the target value of the liquidity indicator confirmed in the confirmation process of the mth batch after the nth batch, where m is a natural number greater than n; For the corresponding information representing the relationship between manufacturing conditions and flowability indicators for each batch, the obtained target value and the obtained nth manufacturing condition are provided. Obtain the m-th manufacturing condition output based on the corresponding information provided for the n-th manufacturing condition and the target value, as an estimate of the manufacturing conditions for the polymerization process in the m-th batch; and The obtained inference results are displayed.

6. An information processing method, comprising processing information on manufacturing conditions for each batch of manufacturing steps for producing melt-formable fluoropolymer, the manufacturing steps including: The first step includes a polymerization step; the second step is a manufacturing step that follows the first step. And a third step, which includes a confirmation step that displays manufacturing result indicators showing the manufacturing results of the resin produced via the first and second steps. The information processing method includes: The manufacturing conditions for the nth batch of the polymerization process, i.e. the nth polymerization process, are obtained from the manufacturing conditions including the raw material indicators of the resin in the polymerization process, the polymerization condition indicators of the resin, and the preparation indicators that display the preparation status of the manufacturing equipment, where n is a natural number. For the first correspondence information representing the correspondence between the manufacturing conditions and the manufacturing result indicators confirmed in the confirmation process, the acquired nth manufacturing condition is provided as manufacturing information; Obtain the manufacturing result index output based on the first corresponding information provided by the nth manufacturing condition, and use it as the manufacturing result index of the nth batch, i.e., the nth manufacturing result index. For the second correspondence information representing the correspondence between manufacturing conditions and manufacturing result indicators for each batch, the obtained nth manufacturing result indicator and the obtained nth manufacturing conditions are provided. Obtain the m-th manufacturing condition output based on the second corresponding information provided with the n-th manufacturing condition and the n-th manufacturing result index, as an estimate of the manufacturing conditions for the polymerization process in the m-th batch; and The obtained inference results are displayed.

7. An information processing apparatus for displaying manufacturing conditions of a melt-formable fluoropolymer produced through a batch manufacturing process, the batch manufacturing process including a first process and a subsequent process after the first process, namely a second process. The information processing device includes: The manufacturing information providing unit provides target values ​​and manufacturing conditions of the first process for a plurality of batches, corresponding information indicating the correspondence between the manufacturing conditions of the first process of the first batch in the first batch, the manufacturing conditions of the first process of the second batch after the first batch, and the state target values ​​of the resin manufactured in the second batch; The result acquisition unit acquires the manufacturing conditions of the first process of the second batch, which are output based on the corresponding information provided with the manufacturing conditions and the target value. as well as The display unit displays the manufacturing conditions acquired by the result acquisition unit as the manufacturing conditions for the second batch.

8. An information processing method for displaying manufacturing conditions of a melt-formable fluoropolymer manufactured through a batch manufacturing process, the batch manufacturing process including a first process and a subsequent process after the first process, namely a second process. The information processing method includes: For correspondence information representing the relationship between the manufacturing conditions of the first process in the first batch of multiple batches, the manufacturing conditions of the first process in the second batch after the first batch, and the state target value of the resin manufactured in the second batch, the target value and the manufacturing conditions of the first process are provided. Obtain the manufacturing conditions of the first process of the second batch, output based on the corresponding information provided by the manufacturing conditions and the target value; as well as The obtained manufacturing conditions are displayed as the manufacturing conditions for the second batch.

9. An information processing apparatus for displaying manufacturing conditions of a melt-formable fluoropolymer produced through a batch manufacturing process, the batch manufacturing process including a first process and a subsequent process after the first process, namely a second process. The information processing device includes: The first manufacturing information providing unit provides the manufacturing conditions of the first process for the previous batch for first correspondence information indicating the correspondence between the manufacturing conditions of the first process for each batch and the manufacturing result index of the manufactured resin. The first result acquisition unit acquires the manufacturing result index of the previous batch, which is output based on the first corresponding information provided with the manufacturing conditions, as an estimated manufacturing result. The second manufacturing information providing unit provides the manufacturing conditions and the estimated manufacturing results of the previous batch for the second correspondence information, which represents the correspondence between the manufacturing conditions and the manufacturing result indicators of each batch. The second result acquisition unit acquires the manufacturing conditions for the next batch, output based on the second corresponding information provided for the manufacturing conditions and the estimated manufacturing results of the previous batch, as an estimated result of the manufacturing conditions; and The results display section shows the estimated results of the manufacturing conditions for the next batch.

10. An information processing method for displaying manufacturing conditions of a melt-formable fluoropolymer manufactured through a batch manufacturing process, the batch manufacturing process including a first process and a subsequent process after the first process, namely a second process. The information processing method includes: For the first correspondence information indicating the correspondence between the manufacturing conditions of the first process in each batch and the manufacturing result index of the manufactured resin, the manufacturing conditions of the first process in the previous batch are provided. Obtain the manufacturing result index of the previous batch, which is output based on the first corresponding information provided with the manufacturing conditions, as an estimated manufacturing result; For the second correspondence information representing the correspondence between the manufacturing conditions and the manufacturing result indicators for each batch, the manufacturing conditions and the estimated manufacturing result for the previous batch are provided; Obtain the manufacturing conditions for the next batch based on the second corresponding information provided with the manufacturing conditions and the estimated manufacturing results of the previous batch, as the estimated manufacturing conditions; as well as This displays the estimated manufacturing conditions for the next batch.

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Patent Citations

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