Control system for web manufacturing device

Abstract

To improve quality of a coated web by using a digital twin.SOLUTION: This control system comprises: a web manufacturing device 10 that applies a coating liquid to a conveyed web W and heat-treats it to form a coated web W'; a sensor provided in the manufacturing device 10 to measure a manufacturing parameter necessary for manufacturing the coated web W' and measurable in the currently operated manufacturing device 10; a simulation model 44 formed by modeling a manufacturing step of the web W at the manufacturing device 10 on the basis of a prescribed expression; and a control device 40 that automatically acquires measurement data measured by the sensor, automatically calculates an output parameter for controlling the manufacturing device 10 on the basis of the expression through simulation using the measurement data and the simulation model 44, and automatically outputs the output parameter to the manufacturing device 10 to control the manufacturing device 10 on the basis of the output parameter.SELECTED DRAWING: Figure 2

Description

[Technical Field]

[0001] The present invention relates to a control system for a web manufacturing device. [Background technology]

[0002] A web manufacturing apparatus that applies a coating liquid to a web and then heat-treats it is composed of various parts, such as a part that supplies the web, a part that transports the web, a part that applies the coating liquid to the web, a part that performs heat treatment to dry the coating liquid applied to the web, and a part that winds up the dried web. To produce a high-quality coated web, it is necessary to appropriately control each part of the web manufacturing apparatus.

[0003] However, disturbances occur in various parts of the web manufacturing device, such as temperature, web tension, and web speed, which hinder proper control and cause quality problems such as uneven coating thickness.

[0004] Countermeasures have been taken in the past to address these problems. For example, the method described in Patent Document 1 monitors the tension of a web being transported by a roller, and suppresses fluctuations in web speed and tension by changing the control method of the motor that rotates the roller depending on the magnitude of the tension. Another method has been to measure the film thickness of the coating liquid on the web after drying, and use a programmable logic controller (PLC) or the like to control the amount of coating liquid supplied to the web based on changes in the measured value.

[0005] Known physical theories related to coating include those in Non-Patent Document 1 and Non-Patent Document 2. Equation (7) in Non-Patent Document 1 expresses the fluctuation in web tension in a web transported by two rollers. In Non-Patent Document 2, equations (1) to (4) express the pressure of the coating fluid in a liquid pool between the die that ejects the coating fluid and the web, and equation (5) expresses the change in the volume of the liquid pool. [Prior art documents] [Patent documents]

[0006] [Patent Document 1] Patent No. 4162275 [Non-Patent Document 1] Gun Young KIM, Han Me KIM, JongMin SHIN and Jong Shik KIM, Modeling and Feed-forward Velocity Compensation of Multi-spanWeb Transport Systems with Thermal and Gravity Effects, ISIJ International,Vol. 48 (2008), No. 6, pp. 799-808. [Non-patent document 2] Takeaki TSUDA, Dynamic ResponseAnalysis and Control of Slot Coating, Journal of Fluid Science and Technology,Vol.4 (2009), No.3, pp.735-745. Summary of the Invention [Problem to be solved by the invention]

[0007] The above conventional measures have involved gentle control and have not provided prompt control in response to changes in tension, etc. This has also left room for improvement in the quality of the coated web.

[0008] The present invention has been made in consideration of the above-described circumstances, and has an object to provide a control system for a web manufacturing apparatus that can improve the quality of a coated web by using a digital twin. [Means for solving the problem]

[0009] The control system for a web manufacturing apparatus of an embodiment comprises: a web manufacturing apparatus that applies a coating liquid to a transported web and heat-treats it to manufacture a coated web; a sensor provided in the web manufacturing apparatus to measure measurement data of manufacturing parameters necessary for manufacturing the coated web and that can be measured in the web manufacturing apparatus while the web manufacturing apparatus is in operation; a simulation model in which the web manufacturing process in the web manufacturing apparatus is modeled using a predetermined equation; and a control device that automatically acquires the measurement data measured by the sensor, automatically calculates output parameters for controlling the web manufacturing apparatus using the predetermined equation based on a simulation using the measurement data and the simulation model, and automatically outputs the output parameters to the web manufacturing apparatus, thereby controlling the web manufacturing apparatus based on the output parameters. [Effects of the Invention]

[0010] According to the above embodiment, the quality of the coated web can be improved using a digital twin. [Brief explanation of the drawings]

[0011] [Figure 1] FIG. 1 is a front view of a web manufacturing apparatus according to an embodiment. [Figure 2] FIG. [Figure 3] FIG. 2 is a front view showing two conveying rollers and a web conveyed thereon. [Figure 4] FIG. 2 is a perspective view showing the die outlet and the web. [Figure 5] FIG. 2 is a front view showing the die outlet and the web. DETAILED DESCRIPTION OF THE INVENTION

[0012] Hereinafter, one embodiment of the present invention will be described with reference to FIGS.

[0013] The web manufacturing apparatus 10 of the embodiment shown in FIG. 1 is an apparatus that applies a coating liquid to a conveyed web W and dries it to produce a coated web W'. The web W is, for example, a metal foil, a film, a fabric, or paper. The coating liquid may be, for example, one containing an organic solvent, one containing a water-based solvent, or one that is solventless. This web manufacturing apparatus 10 controls the production of the web W using digital twin technology. Note that "digital twin" refers to technology that reproduces various data collected from the real world on a computer as if it were a twin.

[0014] The web manufacturing apparatus 10 includes a supply section 11, a coating section 12, a drying section 13, a winding section 14, and a control device 40 (see FIG. 2). Of these, the supply section 11, the coating section 12, the drying section 13, and the winding section 14 constitute the web manufacturing apparatus 10 in real space. Although not shown in FIG. 1, the web manufacturing apparatus 10 also includes a plurality of transport rollers for transporting the web W from the supply section 11 to the winding section 14.

[0015] The supply section 11 is a section where a web W wound in a roll shape is arranged, and where the web W unwound from the roll is sent out toward the coating section 12. The web W sent out from the supply section 11 is transported without stopping to the winding section 14. The coating section 12 is a section where a backup roll 30 and a die 31 are arranged, and where the coating liquid discharged from the die 31 is applied to the web W on the surface of the backup roll 30. The drying section 13 is a section where hot air is applied to the passing web W to dry the coating liquid applied to the web W. The winding section 14 is a section where the web W from which the coating liquid has dried is wound up.

[0016] A plurality of sensors are attached to various parts of the web manufacturing apparatus 10. While the web manufacturing apparatus 10 is in operation, each sensor constantly measures measurement data relating to the manufacturing parameters that are the measurement targets.

[0017] Each sensor measures measurement data related to production parameters necessary for producing the coated web W', which affect quality, from the operating web production apparatus 10. Such production parameters include speed, tension, length, vibration, pressure, temperature, viscosity, etc. related to the components of the web production apparatus 10, the environment of the web production apparatus 10, the web W, the coating liquid, etc. Furthermore, measurement data of such production parameters includes speed, tension, length, vibration, pressure, temperature, viscosity, etc. Specific examples of the sensors measured include the rotation speed of the transport roller 20, the tension of the web W, the transport speed of the web W, the amount of coating liquid discharged from the die 31, the gap between the web W and the die 31, mechanical vibrations of each part, and the temperature, pressure, and air velocity at multiple locations in the drying section 13.

[0018] The quality of the coated web W' also includes the uniformity of the thickness of the layer of coating liquid formed on the web W, the degree of agreement between the actual thickness and the target thickness, and the presence or absence of steps or linear streaks.

[0019] The control device 40 is realized by a computer including a processing device, a storage device, an input device, and a display device. The storage device includes a RAM (Random Access Memory), a ROM (Read Only Memory), and an HDD (Hard Disk Drive). The storage device stores programs and a simulation model 44 (see FIG. 2). The processing device includes a CPU (Central Processing Unit) and the like. The processing device realizes the function of the control device 40 by reading out programs stored in the ROM or the like onto the RAM and executing them.

[0020] The control device 40 has the functional configuration shown in Fig. 2. Note that configurations not necessary for explaining this embodiment are omitted from Fig. 2. As can be seen from Fig. 2, the control device 40 includes a measurement data acquisition unit 41 that acquires measurement data related to manufacturing parameters, an output parameter determination unit 42 that performs a simulation in the virtual space of the digital twin based on the measurement data and determines output parameters, and an output unit 43 that outputs the output parameters to the web manufacturing apparatus 10 in the real space and controls the web manufacturing apparatus 10. This output parameter determination unit 42 is the part that performs the functions of the digital twin.

[0021] The measurement data acquisition unit 41 automatically acquires measurement data measured by each sensor attached to the web manufacturing apparatus 10 in real space. The measurement data is acquired by the measurement data acquisition unit 41 immediately after being measured by the sensor.

[0022] The output parameter determination unit 42 instantly and automatically determines the output parameters to be output to the web manufacturing apparatus 10 in real space based on the measurement data acquired by the measurement data acquisition unit 41. A simulation model 44 is used in the calculations for determining the output parameters.

[0023] The simulation model 44 is a model that reproduces the web manufacturing apparatus 10 in real space in the virtual space of the digital twin. The output parameter determination unit 42 applies the measurement data acquired by the measurement data acquisition unit 41 to the simulation model 44 to perform a simulation. The simulation using the simulation model 44 is performed based on a prediction formula based on physical theory, and is performed using a prediction formula that takes into account only the one-dimensional direction, which is the conveying direction of the web W. In other words, this prediction formula is based on the assumption that the web W moves in only one direction, and does not take into account the width direction of the web W, nor does it take into account the thickness direction of the web W. The reason for using a prediction formula that takes into account only movement in one direction in this way is to reduce the calculation load on the output parameter determination unit 42 and increase the calculation speed.

[0024] The output parameter determination unit 42 executes the above simulation based on a prediction formula to predict what will happen based on the measurement data acquired by the measurement data acquisition unit 41. This prediction involves recreating a virtual, twin-like web production apparatus 10 on a computer from various measurement data collected from the real world (web production apparatus 10). Predictions can be made for various conditions, such as speed, tension, length, vibration, pressure, temperature, viscosity, and the like, related to the components of the web production apparatus 10, the environment of the web production apparatus 10, the web W, and the coating liquid. The output parameter determination unit 42 then determines, as output parameters, the predicted values ​​themselves, which are values ​​predicted by the simulation, values ​​for realizing the predicted values ​​in the web production apparatus 10 in real space, or values ​​calculated based on the predicted values.

[0025] For example, if ideal conditions for improving the quality of the coated web W' are set during simulation and a predicted value under those ideal conditions is obtained, the output parameter determination unit 42 may set, as an output parameter, the predicted value itself or some value for realizing that predicted value in the real-world web manufacturing apparatus 10. Also, if ideal conditions for improving the quality of the coated web W' are not set during simulation and a predicted value is obtained under conditions that are not necessarily ideal, the output parameter determination unit 42 may compare the predicted value with an ideal value (target value) and set some value that fills the difference between the two as an output parameter.

[0026] When the measurement data acquisition unit 41 acquires the measurement data, the output parameter determination unit 42 immediately and automatically determines the output parameters.

[0027] The output unit 43 controls the web manufacturing apparatus 10 by outputting the output parameters determined by the output parameter determination unit 42 to the web manufacturing apparatus 10 in real space. When the output parameter determination unit 42 determines the output parameters, the output unit 43 immediately and automatically outputs the output parameters to the web manufacturing apparatus 10.

[0028] The processes from obtaining the measurement data to outputting the output parameters are executed automatically in real time in the control device 40. Furthermore, while the web manufacturing apparatus 10 is in operation, the processes from measuring the measurement data by the sensors to outputting the output parameters are repeated.

[0029] In this way, the control device 40 acquires measurement data of the web manufacturing apparatus 10 in real space, uses the measurement data to run a simulation using the simulation model 44 in virtual space, predicts what will happen based on the given measurement data, and controls the web manufacturing apparatus 10 in real space based on the prediction. For this reason, this embodiment utilizes digital twin technology.

[0030] Next, we will explain specific examples of control using the digital twin by the web manufacturing apparatus 10. As specific examples, we will cite control of the tension of the web W being transported by the transport rollers (tension control) and control of application of a coating liquid to the web W (application control).

[0031] First, we will explain tension control using a digital twin.

[0032] FIG. 3 is a diagram showing how the web W is transported over two transport rollers 20a, 20b in the web manufacturing apparatus 10 in real space. In FIG. 3, the transport direction of the web W is indicated by an arrow. The two transport rollers 20a, 20b include a first transport roller 20a on the upstream side of the flow of the web W and a second transport roller 20b on the downstream side of the flow of the web W. Rubber pressure rollers 21a, 21b are provided on the transport rollers 20a, 20b, respectively. The pressure rollers 21a, 21b press the web W against the transport rollers 20a, 20b with a constant pressure.

[0033] The first conveyor roller 20a and the second conveyor roller 20b are rotated by motors 23a and 23b, respectively. The rotation speed of the motor 23a that rotates the first conveyor roller 20a is always constant. On the other hand, the rotation speed of the motor 23b that rotates the second conveyor roller 20b can be controlled by the control unit 24. Therefore, the rotation speed of the first conveyor roller 20a is always constant, while the rotation speed of the second conveyor roller 20b is variable. The actual rotation speeds of the first conveyor roller 20a and the second conveyor roller 20b are measured by rotation speed sensors (not shown).

[0034] A tension pickup 22 is also provided as a tension sensor for measuring the tension of the web W. The tension pickup 22 is located upstream of the first transport roller 20a in the flow of the web W.

[0035] As in FIG. 3, a model in which the web W is transported over two transport rollers 20a and 20b and pressure rollers 21a and 21b are also provided exists in a part of the simulation model 44 in virtual space.

[0036] In the configuration of FIG. 3, the rotation speed V of the first conveying roller 20a i-1 , the rotation speed V of the second conveying roller 20b i , the tension T of the web W measured by the tension pickup 22 i-1 and the tension T of the web W between the first conveying roller 20a and the second conveying roller 20b. i Theoretically, the following equation holds between (see Non-Patent Document 1):

[0037]

number

[0038] where L i is the distance in the conveying direction of the web W from the center of rotation of the first conveying roller 20a to the center of rotation of the second conveying roller 20b; E is the Young's modulus of the web W; and A is the cross-sectional area of ​​the web W.

[0039] In addition, the rotation speed V of the second conveying roller 20b i There are two proportional control formulas for controlling the

[0040]

number

[0041]

number

[0042] where T is the target value of the tension of the web W between the first conveyor roller 20a and the second conveyor roller 20b, V is the target value of the rotational speed of the second conveyor roller 20b, and Kp and K are proportional multipliers. The two target values ​​and the proportional multipliers are set in advance.

[0043] Each of the formulas 1 to 3 is a prediction formula based on a physical theory, and corresponds to a prediction formula for using a digital twin that takes into account only one-dimensional movement of the web W. By using the prediction formulas 1 to 3 in this way, which take into account only the one-dimensional moving direction of the web W, the calculation load on the output parameter determination unit 42 can be reduced and the calculation speed can be increased.

[0044] In the web manufacturing apparatus 10 in real space, a rotation speed sensor detects the rotation speed V of the first conveying roller 20a. i-1 and another rotation speed sensor measures the rotation speed V of the second conveying roller 20b. i The tension pickup 22 measures the tension T of the web W. i-1 These sensors are constantly measuring the web diameter during operation of the web manufacturing apparatus 10. These measurement data are immediately and automatically acquired by the measurement data acquisition unit 41 of the control device 40.

[0045] The simulation of tension control by the output parameter determination unit 42 of the control device 40 is performed by solving the simultaneous equations of Equations 1 to 3. In this simulation, the rotation speed V of the first conveying roller 20a is used as measurement data.i-1 and the tension T of the web W i-1 The predicted value to be obtained by this simulation is the rotation speed V of the second conveying roller 20b. i and the tension T of the web W between the first conveying roller 20a and the second conveying roller 20b. i is.

[0046] In order to improve and stabilize the quality of the coated web W', the tension T of the web W between the first conveying roller 20a and the second conveying roller 20b is i Therefore, in this simulation, the tension T of the web W between the first conveying roller 20a and the second conveying roller 20b is i Do not vary dT on the left side of equation 1. i The ideal condition is that dt is 0. Therefore, the output parameter determination unit 42 determines the dT i Under the ideal condition that / dt is 0, solve the simultaneous equations in Equation 1 to Equation 3 to obtain the predicted value of the rotational speed V i and tension T i Ask for.

[0047] The predicted rotational speed V obtained in this way i is the rotation speed V desired to make the quality of the web W good and stable. i Therefore, the output parameter determination unit 42 determines the rotation speed V i is determined as an output parameter.

[0048] The output unit 43 of the control device 40 outputs the output parameters determined by the output parameter determination unit 42 to the web manufacturing apparatus 10 in real space, thereby controlling the web manufacturing apparatus 10. In detail, the output unit 43 of the control device 40 outputs the rotational speed V i to the control unit 24 provided in the web manufacturing apparatus 10 in the real space. The control unit 24 controls the rotation speed of the motor 23b connected to the second conveyor roller 20b to obtain the actual rotation speed V i, and the rotation speed V i Matches

[0049] Using this digital twin, we can calculate the rotational speed V in real space. i-1 and tension T i-1 The measurement of the rotational speed V in the real space, the determination of the output parameters by simulation using the simulation model 44, and the output of the output parameters from the virtual space to the real space are automatically performed in real time. i-1 and tension T i-1 The process from measuring the distance to outputting the output parameters from the virtual space to the real space is repeated while the web manufacturing apparatus 10 is in operation.

[0050] As a result, the tension T of the web W is always maintained between the first conveying roller 20a and the second conveying roller 20b. i The rotation speed V of the second conveyor roller 20b is set to i During the operation of the web manufacturing apparatus 10, the tension T of the web W is controlled. i Even if a disturbance occurs that changes the tension T i The rotation speed V of the second conveying roller 20b is quickly increased so that the rotation speed V i Therefore, the quality of the coated web W' is good and stable.

[0051] The control device 40 also calculates the rotation speed V of the second conveyor roller 20b measured by the rotation speed sensor in real space. i and the rotational speed V of the second conveying roller 20b obtained by simulation in the virtual space. i Then, compare the two rotational speeds V i If the difference between the two is equal to or greater than a predetermined value, there is a possibility that an abnormality has occurred in the web manufacturing device 10 in the real space, and therefore the control device 40 stops the web manufacturing device 10 in the real space.

[0052] Next, we will explain coating control using a digital twin.

[0053] Fig. 4 is a diagram showing a state in which a coating liquid 33 is discharged from a discharge port 32 at the tip of a die 31 and coated onto a web W being conveyed. Fig. 5 is a diagram showing the portion depicted in Fig. 4 as viewed from the width direction of the web W, and the length, coordinates, and angle of each portion are displayed.

[0054] 4 and 5, the conveying direction of the web W is indicated by an arrow. As can be seen from Fig. 4, the web W is conveyed in one direction below the die 31, the coating liquid 33 discharged from the discharge port 32 of the die 31 is applied to the web W, and the coating liquid 33 accumulates between the die 31 and the web W.

[0055] The volume of the coating liquid 33 discharged per unit time from the discharge port 32 of the die 31 is measured by a flow rate sensor (not shown). The transport speed of the web W is measured by a speed sensor (not shown). The distance between the die 31 and the web W is measured by a distance sensor (not shown).

[0056] This configuration shown in FIGS. 4 and 5 exists in both the web manufacturing apparatus 10 in the real space and the simulation model 44 in the virtual space.

[0057] 4 and 5, the pressures p(x1) to p(x4) of the coating liquid 33 at the coordinates x1 to x4 in the transport direction of the web W are described by the following equations 4 to 7 (see Non-Patent Document 2). Note that the coordinates x1 to x3 are known coordinates shown in FIG. 5, but x4 is variable.

[0058]

number

[0059]

number

[0060]

number

[0061]

number

[0062] where σ is the surface tension of the coating liquid 33, p v is the atmospheric pressure, and μ is the viscosity of the coating liquid 33, and in this embodiment, the values ​​of all of these are known. d , θ u , L1, and L2 are angles or lengths shown in FIG. 5, and in this embodiment, the values ​​of all of them are known.

[0063] Furthermore, Q is the volume of the coating liquid 33 discharged from the discharge port 32 of the die 31 per unit time, U is the conveying speed of the web W, and h u , h 0u and h 0d is the distance between the die 31 and the web W at each position in the x direction shown in FIG. ∞ is the final film thickness of the coating liquid 33 (film thickness sufficiently downstream of the die 31).

[0064] Here, p(x2) and p(x3) can be considered to be equal. Therefore, adding up the equations in numbers 4 to 7 results in an equation that represents p(x4).

[0065] The change in volume of the liquid pool of the coating liquid 33 formed below the die 31 is described by the following equation (see Non-Patent Document 2).

[0066]

number

[0067] The formulas 4 to 8 are prediction formulas based on physical theories, and correspond to prediction formulas that take into account only one-dimensional movement of the web W.

[0068] In the web manufacturing apparatus 10 in real space, the volume Q of the coating liquid 33 discharged per unit time from the discharge port 32 of the die 31, the conveying speed U of the web W, and the distance h between the die 31 and the web W at each position shown in FIG. u , h 0u and h 0d These measurement data are immediately and automatically acquired by the measurement data acquisition unit 41 of the control device 40.

[0069] The simulation using the digital twin for the coating control by the output parameter determination unit 42 of the control device 40 is performed by solving the simultaneous equations of Equations 4 to 8. In this simulation, the volume Q, the conveying speed U, and the interval h are used as measurement data. u , h 0u and h 0d The predicted value to be obtained by this simulation is the final film thickness h of the coating liquid 33. ∞ and coordinate x4.

[0070] Film thickness h ∞ When the film thickness h reaches the target value, it can be said that the quality of the web W is good. Therefore, the output parameter determination unit 42 determines the film thickness h as a predicted value obtained by solving the simultaneous equations of Equations 4 to 8. ∞ and the film thickness h ∞ The predicted film thickness h ∞ and the film thickness h ∞ If there is a difference between the target value of the film thickness h ∞ The output parameters are determined as numerical values ​​that make the volume Q, the conveying speed U, and the interval h among the parameters appearing in Equations 4 to 8. u , h 0u and h 0d Therefore, the output parameter determination unit 42 determines the volume Q, the conveying speed U, and the interval h u , h 0u and h 0dFor one or more of the above, a value to which the previous set value has been changed is determined, and the determined value is set as the output parameter.

[0071] Then, the output unit 43 of the control device 40 outputs the determined output parameters to the web manufacturing device 10 in the real space, thereby controlling the web manufacturing device 10.

[0072] In this way, the volume Q, the transport speed U, and the interval h u , h 0u and h 0d The measurement of the volume Q, the conveying speed U, and the interval h in the real space are automatically performed in real time. u , h 0u and h 0d The process from measuring the distance to outputting the output parameters from the virtual space to the real space is repeated while the web manufacturing apparatus 10 is in operation.

[0073] This ensures that the film thickness h ∞ The control device 40 controls the film thickness h of the web W during operation of the web manufacturing apparatus 10 so that the film thickness h ∞ Even if a disturbance occurs that changes the film thickness h ∞ The control device 40 quickly controls the coated web W' so that it reaches the target value and stabilizes. Therefore, the quality of the coated web W' is improved and stabilized using the digital twin.

[0074] Furthermore, by using simultaneous equations (prediction equations) of Equations 4 to 8 that take into account only the one-dimensional moving direction of the web W, the calculation load on the output parameter determination unit 42 can be reduced and the calculation speed can be increased.

[0075] Next, the effects of this embodiment will be described.

[0076] The control system of this embodiment includes a web manufacturing apparatus 10 that applies a coating liquid to a conveyed web W and heat-treats it to manufacture a coated web W', sensors provided in the web manufacturing apparatus 10 to measure manufacturing parameters necessary for manufacturing the coated web W' that are measurable in the operating web manufacturing apparatus 10, a simulation model 44 in which the web manufacturing process in the web manufacturing apparatus 10 is modeled using a predetermined prediction formula, and a control apparatus 40. The control apparatus 40 automatically acquires measurement data measured by the sensors, calculates output parameters using a digital twin based on a simulation using the measurement data and the simulation model 44, and automatically outputs the output parameters to the web manufacturing apparatus 10, thereby controlling the web manufacturing apparatus 10.

[0077] In this control system, when any disturbance occurs in the web manufacturing apparatus 10 or the web W, it appears as a change in the measurement data, and the control device 40 calculates and outputs output parameters based on the measurement data to control the web manufacturing apparatus 10. Therefore, even if a disturbance occurs, the control device 40 can perform control that corresponds to the disturbance. Moreover, because the control device 40 automatically performs the processes from acquiring the measurement data to outputting the output parameters, it can respond quickly to the disturbance. As a result, the quality of the coated web W' is good.

[0078] Furthermore, the process from measuring the measurement data by the sensors to outputting the output parameters by the control device 40 is carried out in real time and is repeated while the web manufacturing apparatus 10 is in operation. Therefore, while the web manufacturing apparatus 10 is in operation, the control device 40 can always quickly control changes in the measurement data caused by disturbances. This results in good and stable quality of the coated web W'.

[0079] Furthermore, the simulation using the simulation model 44 in the digital twin is a prediction formula that embodies the manufacturing process based on physical theory, and is executed using a prediction formula that is expressed only in one dimension, which is the conveying direction of the web W. Therefore, the control device 40 can execute the simulation in a short time to quickly determine the output parameters, enabling rapid control.

[0080] The above disclosure is merely an example, and various modifications are possible. For example, the control method of this embodiment using digital twin technology can be applied to control other than tension control and coating control. [Explanation of symbols]

[0081] W...web, W'...coated web, 10...web manufacturing apparatus, 11...supply section, 12...coating section, 13...drying section, 14...winding section, 20a...first conveying roller, 20b...second conveying roller, 21a...pressing roller, 21b...pressing roller, 22...tension pickup, 23a...motor, 23b...motor, 24...control section, 30...backup roll, 31...die, 32...discharge port, 33...coating liquid, 40...control device, 41...measurement data acquisition section, 42...output parameter determination section, 43...output section, 44...simulation model

Claims

1. a web manufacturing device that applies a coating liquid to a conveyed web and heat-treats the web to manufacture a coated web; a sensor provided in the web manufacturing apparatus for measuring measurement data of production parameters necessary for manufacturing the coated web and measurable in the web manufacturing apparatus during operation; a simulation model in which the web manufacturing process in the web manufacturing apparatus is modeled by a predetermined equation; a control device that automatically acquires the measurement data measured by the sensor, automatically calculates output parameters for controlling the web manufacturing device using the predetermined formula based on a simulation that uses the measurement data and the simulation model, and automatically outputs the output parameters to the web manufacturing device, thereby controlling the web manufacturing device based on the output parameters; A control system for a web manufacturing apparatus comprising:

2. a process from the measurement of the measurement data by the sensor to the output of the output parameter by the control device is performed in real time and is repeated while the web manufacturing apparatus is in operation; 2. A control system for a web manufacturing apparatus according to claim 1.

3. 3. A control system for a web manufacturing apparatus as described in claim 1 or 2, wherein the predetermined equation in the simulation model is a prediction equation that embodies the manufacturing process based on physical theory, and the prediction equation is expressed only in one-dimensional direction, which is the transport direction of the web.

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