Roll diameter calculation device and roll diameter calculation method

Abstract

This invention provides a roll diameter calculation device and a roll diameter calculation method that can improve the accuracy of roll diameter calculations. [Solution] The roll diameter calculation device comprises a first and second processing unit, a first and second integrated value calculation unit, and a roll diameter calculation unit. The first processing unit obtains a first value corresponding to the change in the first rotation amount corresponding to the rotation amount of one of the target roll and the measuring roll. The first integrated value calculation unit calculates a first integrated value by integrating at least some of the first values ​​in the time series data of the first value in reverse chronological order. The second processing unit obtains a second value corresponding to the change in the second rotation amount corresponding to the rotation amount of the other of the target roll and the measuring roll. The second integrated value calculation unit calculates a second integrated value by integrating at least some of the second values ​​selected in reverse chronological order in the time series data of the second value. The roll diameter calculation unit calculates the diameter of the target roll based on the first and second integrated values ​​and the diameter of the measuring roll.

Description

[Technical Field]

[0001] Embodiments of the present invention relate to a roll diameter calculation device and a roll diameter calculation method. [Background technology]

[0002] For example, in a rewinder system, sheet material wound on a rewind roll is wound onto a take-up roll. In the winding of sheet material, the diameter of the rewind roll decreases as the sheet material is fed out, while the diameter of the take-up roll increases as the sheet material is wound.

[0003] In winding such sheet materials, the diameter of the unwinding roll (or winding roll) is sometimes calculated. For example, the calculation result of the roll diameter, which changes during winding, is used to calculate the output torque of the electric motor that drives the roll. This allows for control to maintain the tension of the sheet material as constant as possible. [Prior art documents] [Patent Documents]

[0004] [Patent Document 1] Japanese Patent Application Publication No. 8-182373 [Overview of the Initiative] [Problems that the invention aims to solve]

[0005] An object of the embodiments of the present invention is to provide a roll diameter calculation device and a roll diameter calculation method that can improve the accuracy of roll diameter calculation. [Means for solving the problem]

[0006] The roll diameter calculation device according to the embodiment calculates the diameter of the rewind roll. The processing unit repeatedly performs the process of acquiring the rewind roll rotation amount number according to the amount of rotation of the rewind roll, and obtains a rewind roll rotation amount value according to the amount of rotation of the rewind roll from the acquisition of the previous rewind roll rotation amount number to the acquisition of the current rewind roll rotation amount number. The integrated value calculation unit calculates an integrated rewind roll rotation amount value by accumulating at least some of the rewind roll rotation amount values ​​in the time series data of the rewind roll rotation amount values ​​in reverse chronological order. The processing unit repeatedly performs the process of acquiring the measuring roll rotation amount number according to the amount of rotation of the measuring roll, and obtains a measuring roll rotation amount value according to the amount of rotation of the measuring roll from the acquisition of the previous measuring roll rotation amount number to the acquisition of the current measuring roll rotation amount number. The integrated value calculation unit calculates an integrated measuring roll rotation amount value by accumulating at least some of the measuring roll rotation amount values ​​selected in reverse chronological order from the time series data of the measuring roll rotation amount values. The roll diameter calculation unit calculates the diameter of the rewind roll based on the integrated value of the rewind roll rotation amount, the integrated value of the length measuring roll rotation amount, and the diameter of the length measuring roll. The roll diameter calculation device according to the embodiment calculates the diameter of the winding roll. The processing unit repeatedly performs the process of acquiring the winding roll rotation amount number according to the amount of rotation of the winding roll, and obtains a winding roll rotation amount value according to the amount of rotation of the winding roll from the acquisition of the previous winding roll rotation amount number to the acquisition of the current winding roll rotation amount number. The integrated value calculation unit calculates an integrated winding roll rotation amount value by accumulating at least some of the winding roll rotation amount values ​​in the time series data of the winding roll rotation amount values ​​in reverse chronological order. The processing unit repeatedly performs the process of acquiring the measuring roll rotation amount number according to the amount of rotation of the measuring roll, and obtains a measuring roll rotation amount value according to the amount of rotation of the measuring roll from the acquisition of the previous measuring roll rotation amount number to the acquisition of the current measuring roll rotation amount number. The integrated value calculation unit calculates an integrated measuring roll rotation amount value by accumulating at least some of the measuring roll rotation amount values ​​selected in reverse chronological order from the time series data of the measuring roll rotation amount values. The roll diameter calculation unit calculates the diameter of the winding roll based on the integrated value of the winding roll rotation amount, the integrated value of the length measuring roll rotation amount, and the diameter of the length measuring roll. [Effects of the Invention]

[0007] According to embodiments of the present invention, a roll diameter calculation device and a roll diameter calculation method capable of improving the accuracy of roll diameter calculation can be provided. [Brief explanation of the drawing]

[0008] [Figure 1] Figure 1 is a schematic diagram illustrating equipment to which the roll diameter calculation device according to the embodiment is applied. [Figure 2] Figure 2 is a block diagram illustrating a roll diameter calculation device according to an embodiment. [Figure 3] Figures 3(a) and 3(b) are schematic graphs illustrating the operation of the input device, the first processing unit, and the second processing unit. [Figure 4] Figure 4 is a block diagram illustrating a roll diameter calculation device according to an embodiment. [Figure 5] Figures 5(a) and 5(b) are schematic diagrams illustrating the processing of the first integrated value calculation unit and the second integrated value calculation unit. [Figure 6] Figures 6(a) and 6(b) are schematic diagrams illustrating the processing of the first integrated value calculation unit and the second integrated value calculation unit. [Modes for carrying out the invention]

[0009] Embodiments of the present invention will be described below with reference to the drawings. In this specification and in each figure, elements similar to those described above are denoted by the same reference numerals with respect to previously shown figures, and detailed explanations are omitted as appropriate.

[0010] (First embodiment) Figure 1 is a schematic diagram illustrating equipment to which the roll diameter calculation device according to the embodiment is applied. As shown in Figure 1, the equipment 200 includes a rewind roll 41, a winding roll 42, and a length measuring roll 15. The roll diameter calculation device according to this embodiment is a device that calculates the diameter of a target roll, and the target roll is either the rewind roll 41 or the winding roll 42.

[0011] For example, equipment 200 is a rewinder. In the paper industry, for instance, such rewinders are used to process and rewind rolls that have been wound onto a core by a paper machine to the desired product width.

[0012] The unwinding roll 41 is a roll in which a strip of sheet material 43 is wound around a winding core 41a, and it rotates to unwind the sheet material 43. In other words, the sheet material 43 wound around the unwinding roll 41 is unwound from the unwinding roll 41 as the unwinding roll 41 rotates and conveyed to the measuring roll 15 and the winding roll 42. The winding roll 42 is a roll that winds the sheet material 43 onto the second winding core 42a. One end of the sheet material 43 is connected to the winding roll 42, and the sheet material 43 conveyed from the unwinding roll 41 is wound onto the winding roll 42 as the winding roll 42 rotates.

[0013] The measuring roll 15 rotates according to the amount of sheet material 43 being transported, and measures the length of the transported sheet material 43 based on the number of rotations. For example, the measuring roll 15 is in contact with the sheet material 43 so as to rotate in accordance with the transport of the sheet material 43. The sheet material 43 unwound from the rewind roll 41 is wound onto the take-up roll 42 via the measuring roll 15. For example, the measuring roll 15 is a roll that measures the length of the sheet material 43 unwound from the rewind roll 41, or the length of the sheet material 43 wound up by the take-up roll 42.

[0014] In a rewinder system, the sheet material fed from the rewind roll is cut to the product width by a device called a slitter and then wound up by a winding roll. During operation, the diameter of the rewind roll decreases as the sheet material is fed from the rewind roll. However, in order to maintain constant tension in the sheet material, it is desirable to calculate and detect the rewind roll diameter as close to real-time as possible in order to calculate the output torque of the electric motor. The length measuring roll is used to measure the length of the fed-out sheet material in order to calculate the rewind roll diameter, which decreases as the sheet material is fed out.

[0015] In describing the embodiments, the example will mainly focus on the case where the target roll is the rewind roll 41 and the diameter R41 of the rewind roll 41 is calculated. However, the winding roll 42 may also be used as the target roll, and the diameter R42 of the winding roll 42 may be calculated.

[0016] As shown in Figure 1, the equipment 200 includes a gear 12, an electric motor 13, and a detector 14. The electric motor 13 is connected to the rewind roll 41 via the gear 12. The driving force of the electric motor 13 is transmitted to the rewind roll 41 via the gear 12, thereby rotating the rewind roll 41. Note that the gear 12 may be provided as needed, and the gear 12 may be omitted, allowing the electric motor 13 to directly drive the rewind roll 41.

[0017] The detector 14 detects the rotation of the target roll (in this example, the rewind roll 41). The detector 14 is a sensor for detecting the amount (speed) of rotation of the rewind roll 41. In the example in Figure 1, the detector 14 is connected to the electric motor 13, and indirectly detects the rotation of the rewind roll 41 by detecting the rotation of the electric motor 13. However, the detector 14 may also be provided on the rewind roll 41 to directly detect the rotation of the rewind roll 41. More specifically, the detector 14 is a pulse oscillator that outputs pulses in accordance with the rotation of the electric motor 13 (or the rewind roll 41). The detector 14 outputs a pulse each time the rewind roll 41 rotates by a predetermined angle. The number of pulses output from the detector 14 is proportional to the speed of rotation of the rewind roll 41.

[0018] The equipment 200 also includes a gear 16, an electric motor 17, a detector 18, and a detector 19. The electric motor 17 is connected to the length measuring roll 15 via the gear 16. The driving force of the electric motor 17 is transmitted to the length measuring roll 15 via the gear 16, thereby rotating the length measuring roll 15. In this example, the winding roll 42 rotates in conjunction with the rotation of the length measuring roll 15 by the electric motor 17. An electric motor for rotating the winding roll 42 may also be provided. Note that the gear 16 may be provided as needed, and the gear 16 may be omitted, with the electric motor 17 directly driving the length measuring roll 15.

[0019] The detector 18 detects the rotation of the length measuring roll 15. The detector 18 is a sensor for detecting the amount (number of rotations) of rotation of the length measuring roll 15. In the example in Figure 1, the detector 18 is connected to the motor 17, and indirectly detects the rotation of the length measuring roll 15 by detecting the rotation of the motor 17. However, the detector 18 may also be provided on the length measuring roll 15 and directly detect the rotation of the length measuring roll 15. More specifically, the detector 18 is a pulse transmitter that outputs pulses in accordance with the rotation of the motor 17 (or length measuring roll 15). The detector 18 outputs a pulse each time the length measuring roll 15 rotates by a predetermined angle. The number of pulses output from the detector 18 is proportional to the number of rotations of the length measuring roll 15. The detector 19 is provided on the winding roll 42 and detects the rotation of the winding roll 42. The detector 19 is a sensor for detecting the amount (number of rotations) of rotation of the winding roll 42. More specifically, the detector 19 is a pulse transmitter that outputs pulses in accordance with the rotation of the winding roll 42. The detector 19 outputs a pulse each time the winding roll 42 rotates by a predetermined angle. The number of pulses output from the detector 19 is proportional to the number of rotations of the winding roll 42.

[0020] Figure 2 is a block diagram illustrating a roll diameter calculation device according to an embodiment. The roll diameter calculation device 21 includes, for example, an input device 22 (pulse input device) and a processing unit 23. The roll diameter calculation device 21 is a device that includes a calculation circuit that processes signals from detectors 14, 18 and 19, and in this example, a programmable logic controller (PLC) is used.

[0021] The input device 22 is a device that receives a detection signal (pulse signal) from the detector 14 representing the rotation of the target roll (e.g., the rewind roll 41), and a detection signal (pulse signal) from the detector 18 representing the rotation of the length measuring roll 15. If the target roll for which the diameter is to be calculated is the winding roll 42, the input device 22 receives a detection signal (pulse signal) from the detector 19 representing the rotation of the winding roll 42.

[0022] The input device 22 calculates a first rotation amount (in this example, the number of pulses) corresponding to the amount of rotation of the target roll, based on the signal from the detector 14. Specifically, the input device 22 includes an integration circuit that counts the number of pulses representing the amount of rotation of the target roll, and a memory that stores the number of pulses.

[0023] Similarly, the input device 22 calculates a second rotation amount (in this example, the number of pulses) corresponding to the amount of rotation of the length measuring roll 15, based on the signal from the detector 18. Specifically, the input device 22 includes an integration circuit that counts the number of pulses representing the amount of rotation of the length measuring roll 15, and a memory that stores the number of pulses.

[0024] The processing unit 23 is, for example, an arithmetic circuit including a CPU (central processing unit). The processing unit 23 includes a first processing unit 24, a second processing unit 25, a first integrated value calculation unit 26, a second integrated value calculation unit 27, and a roll diameter calculation unit 28.

[0025] The first processing unit 24 acquires the first rotation amount (number of pulses related to the target roll) from the input device 22. The second processing unit 25 acquires the second rotation amount (number of pulses related to the length measuring roll 15) from the input device 22. The processing unit 23 repeatedly performs a predetermined process (scan) which includes acquiring the first rotation amount and the second rotation amount. The processing unit 23 repeatedly performs the scan, for example, at a predetermined period.

[0026] Figures 3(a) and 3(b) are schematic graphs illustrating the operation of the input device, the first processing unit, and the second processing unit. Figure 3(a) is a graph illustrating the first rotation amount (number of pulses) counted by the input device 22, and Figure 3(b) is a graph illustrating the second rotation amount (number of pulses) counted by the input device 22. In this example, the slope of the graph in Figure 3(a) is greater than the slope of the graph in Figure 3(b), but the reverse is also acceptable.

[0027] The first processing unit 24 acquires the first rotation amount in repeated scans. That is, as shown in Figure 3(a), the first processing unit 24 acquires multiple detection times (T i , T i-1 In this step, the first rotation amount is obtained. The first rotation amount obtained at each detection time represents the amount of rotation of the target roll at each detection time. The first processing unit 24 may have, for example, a memory for storing each obtained first rotation amount.

[0028] The first processing unit 24 processes the first rotation amount C1 obtained this time. i And the first rotation amount C1 obtained last time i-1 The difference between (1st difference (P dev_UW)(())) is calculated. The first rotation quantity number obtained this time is, in other words, the latest first rotation quantity number. The first rotation quantity number obtained last time is, in other words, the second newest first rotation quantity number obtained immediately before this time. Thus, the first processing unit 24, for example, based on the first rotation quantity number obtained this time and the first rotation quantity number obtained last time, the previous detection time T i-1 to the current detection time T i During the period (detection period T1) until, the first value (first difference (P dev_UW )) corresponding to the change in the first rotation quantity number (rotation quantity of the target roll) is calculated. For example, the first processing unit 24 obtains the first rotation quantity number (winding roll rotation quantity number) corresponding to the rotation quantity of the rewinding roll to obtain the first value (rewinding roll rotation quantity value). For example, the first processing unit 24 repeats the process of calculating the first difference (P dev_UW ) at a predetermined cycle each time the first rotation quantity number is obtained at the detection time. The first processing unit 24 repeatedly performs the process of obtaining the first value (for example, calculating the first difference). As a result, time series data of the first difference is obtained.

[0029] Similarly, the second processing unit 25 obtains the second rotation quantity number in repeated scans. That is, the second processing unit 25 obtains the second rotation quantity number when the first processing unit 24 obtains the first rotation quantity number. For example, as shown in FIG. 3(b), the second processing unit 25 obtains the second rotation quantity number at a plurality of detection times (T i , T i-1 ). The second rotation quantity number obtained at each detection time represents the rotation quantity of the length measuring roll 15 at each detection time. Thus, each time the first processing unit 24 obtains the first rotation quantity number, the second processing unit 25 obtains the second rotation quantity number. The rotation quantity of the length measuring roll 15 represented by the second rotation quantity number obtained together with the first rotation quantity number corresponds to the rotation quantity of the target roll represented by the first rotation quantity number. The second processing unit 25 may, for example, have a memory for storing each obtained second rotation quantity number.

[0030] The second processing unit 25 is the second rotation quantity number C2 obtained this time i and the second rotation quantity number C2 obtained last time i-1 The difference between (second difference (Pdev_W The second rotation quantity obtained this time is, in other words, the most recent second rotation quantity. The second rotation quantity obtained last time is, in other words, the second most recent second rotation quantity obtained immediately before this time. In this way, the second processing unit 25 calculates the previous detection time T based on, for example, the second rotation quantity obtained this time and the second rotation quantity obtained last time. i-1 From the time of detection T i The second value (second difference (P) corresponds to the change in the second rotation amount (rotation amount of measuring roll 15) during the period up to dev_W The second processing unit 25 calculates the second difference (P) corresponding to the amount of rotation of the measuring roll. In this way, the second processing unit 25 obtains the second rotation amount (measuring roll rotation amount) corresponding to the amount of rotation of the measuring roll and obtains the second value (measuring roll rotation amount value). For example, each time the second processing unit 25 obtains the second rotation amount at the detection time, it calculates the second difference (P) dev_W The process of calculating the second value is repeated at predetermined intervals. The second processing unit 25 repeatedly performs the process of obtaining the second value (for example, calculating the second difference). This provides time-series data of the second difference.

[0031] Second difference (P dev_W ) is the first difference (P dev_UW This represents the amount of rotation of the measuring roll 15 corresponding to the second difference (P dev_W The amount of rotation of the measuring roll 15 represented by ) is the first difference (P dev_UW This corresponds to the amount of rotation of the target roll represented by ). For example, the latest second difference is the amount of rotation of the measuring roll while the target roll rotates, as represented by the latest first difference.

[0032] The first difference may be the number of rotations (pulses) representing the amount of rotation of the target roll during the detection period (from the previous detection time to the current detection time). The second difference may be the number of rotations (pulses) representing the amount of rotation of the length measuring roll 15 during the detection period (from the previous detection time to the current detection time).

[0033] Each time a new first difference is obtained in the first processing unit 24, the time series data of the first difference is updated. Then, as shown in Figure 2, the first integrated value calculation unit 26 calculates the first integrated value (P) obtained by integrating at least some of the first differences included in the time series data of the first difference. sum_UW The first integrated value is calculated when the first integrated value is a predetermined value (P) in the time series data of the first difference, which has been updated based on the latest first difference. con_UW This is the value obtained by accumulating the first difference in reverse chronological order until it exceeds 1.

[0034] Specifically, as shown in Figure 2, for example, the processing unit 23 includes a memory device having a first memory stack that stores past pulse number deviation data (first difference). The first memory stack has multiple memory areas whose starting memory address is 0. Assume that after the previous scan, the first memory stack has stored i+1 data items in the memory areas with memory addresses from 0 to i. Here, as the operation for the current scan, the processing unit 23 shifts the i+1 data items stored in the first memory stack after the previous scan to the memory areas with addresses from 1 to i+1, and stores the pulse number deviation (first difference (P) calculated in the current scan in the memory area with starting address 0. dev_UW )) is stored. In this way, after this scan operation, the first memory stack will store i+2 pieces of data.

[0035] Predetermined value (P con_UW ) is, for example, the number of pulses required to ensure the calculation accuracy of the target roll diameter. con_UW For example, this is said to be around 1000 to 3000, but it can be determined as appropriate and is not particularly limited. The first cumulative value calculation unit 26 accumulates the data in the memory stack that stores the i+2 data updated by the current scan, starting from the beginning and going back through the previously stored memory, to a predetermined value (P con_UW The sum is accumulated until it exceeds a predetermined value (P). When the nth data point is accumulated with the first one being the 0th, the accumulated value is calculated to reach a predetermined value (P). con_UW If it exceeds ), the first integrated value (P sum_UWLet's assume that the number of data points to be accumulated (n+1) is, for example, around 2 to 20, but is not particularly limited.

[0036] Thus, the first integrated value calculation unit 26 calculates predetermined values ​​(P) in order from the newest first difference in the updated time series data of the first difference. con_UW The first accumulated value (P) is obtained by accumulating the first difference until it exceeds ) sum_UW The first integrated value calculation unit 26 calculates a first integrated value (rewind roll rotation amount integrated value) by accumulating the amount of rotation of the rewind roll 41.

[0037] Each time a new second difference is obtained in the second processing unit 25, the time series data of the second difference is updated. Then, as shown in Figure 2, the second integrated value calculation unit 27 calculates a second integrated value (P) obtained by integrating at least some of the second differences included in the time series data of the second difference. sum_W The second integrated value is calculated by summing the second differences from the 1st to the (n+1th)th most recent in the time series data of the second differences, which has been updated based on the most recent second difference. In other words, the second integrated value is the sum of the same number of second differences as the first differences that were accumulated in the calculation of the first integrated value.

[0038] Specifically, as shown in Figure 2, for example, the processing unit 23 includes a memory device having a second memory stack that stores past pulse number deviation data (second difference). The second memory stack has multiple memory areas whose starting memory address is 0. Assume that after the previous scan is complete, the second memory stack has stored i+1 data items in the memory areas with memory addresses from 0 to i. Here, as part of the operation for the current scan, the processing unit 23 shifts the i+1 data items stored in the second memory stack after the previous scan is complete to the memory areas with addresses from 1 to i+1, and stores the pulse number deviation (second difference (P) calculated in the current scan in the memory area with starting address 0. dev_W )) is stored. In this way, after this scan operation, the second memory stack will store i+2 pieces of data.

[0039] The second integrated value calculation unit 27 integrates the same number of n+1 data points as the number of data points integrated in the first integrated value calculation unit 26, starting from the beginning of the second memory stack, and calculates the second integrated value (P sum_W ) is calculated.

[0040] Thus, the second integrated value calculation unit 27 calculates the second integrated value (P) by accumulating the n+1 second differences selected in reverse chronological order from the time-series data of the second differences, which has been updated based on the latest second difference, when the number of first differences accumulated in the calculation of the first integrated value is represented as n+1 (where n is an integer). sum_W The second integrated value calculation unit 27 calculates the second integrated value (measuring roll rotation amount integrated value) by accumulating the rotation amounts of the measuring roll 15.

[0041] First cumulative value (P sum_UW ) is a predetermined value (P con_UW This represents the amount of rotation of the target rolls that exceeds a certain amount as defined by ). Second cumulative value (P sum_W ) represents the amount of rotation of the measuring roll 15 corresponding to the first integrated value. That is, the second integrated value (P sum_W The amount of rotation of the measuring roll 15 represented by the first integrated value corresponds to the amount of rotation of the target roll represented by the first integrated value. For example, the second integrated value is the amount of rotation of the measuring roll 15 while the target roll rotates, as represented by the first integrated value.

[0042] Each scan includes the process of acquiring the first rotation amount (number of pulses), calculating the first difference, and updating the time-series data of the first difference based on the calculated first difference, and the process of acquiring the second rotation amount (number of pulses), calculating the second difference, and updating the time-series data of the second difference based on the calculated second difference. The processing unit 23 repeats this scan, for example, at a fixed period. After the scan, the first integrated value calculation unit 26 and the second integrated value calculation unit 27 calculate the first integrated value and the second integrated value. For example, the first integrated value and the second integrated value are calculated each time a scan is performed.

[0043] The roll diameter calculation unit 28 calculates the diameter of the target roll based on at least a first integrated value, a second integrated value, and the diameter of the measuring roll 15.

[0044] Specifically, for example, for the target roll, the number of pulses per rotation of the pulse generator (detector 14) is P rat_UW The gear ratio of gear 12 is G UW As the first cumulative value (P sum_UW Converting ) to rotational speed,

number

[0045] Similarly, for the length measuring roll 15, the number of pulses per rotation of the pulse transmitter (detector 18) is P rat_W The gear ratio of gear 16 is G W As the second cumulative value (P sum_W Converting ) to rotational speed,

number

[0046] Assuming the sheet material does not stretch or shrink, the unwinding length and the winding length are equal, so the target roll is N UW When it rotates, the measuring roll 15 is N W If it rotates, the measuring roll diameter is D W For example, the rewind roll diameter D UW teeth,

number

[0047] The roll diameter calculation device and roll diameter calculation method according to the embodiment have been described above. In the embodiment, the diameter of the target roll is calculated based on a first integrated value obtained by integrating the first values ​​in reverse chronological order, a second integrated value corresponding to the first integrated value, and the first integrated value. This makes it possible to reflect the newly obtained first and second differences (changes in the number of pulses obtained from the most recent scan operation) in the roll diameter calculation. This improves the accuracy of the roll diameter calculation.

[0048] For example, the roll diameter calculation device 21 may calculate the target roll diameter each time a scan is performed. That is, the sum of the first differences included in the time-series data of the first difference is a predetermined value (P con_UW When it exceeds the first difference (P dev_UW The second processing unit 25 calculates the second difference (P dev_W Each time the first integrated value calculation unit 26 calculates the first integrated value (P sum_UW The second integrated value calculation unit 27 calculates the second integrated value (P sum_W The roll diameter calculation unit 28 calculates the diameter of the target roll. By calculating the roll diameter for each scan, the accuracy of the roll diameter estimation can be further improved.

[0049] On the other hand, in a roll diameter calculation device of a different example from the method described above, for example, the pulse number representing the rotation amount of the length measuring roll is accumulated by a pulse input device until the pulse number representing the rotation amount of the target roll reaches a pulse number equivalent to a predetermined rotation speed. At the timing when the pulse number of the target roll reaches the predetermined rotation speed, the accumulated value of the pulse number of the length measuring roll is input to a PLC (calculation device). Then, the accumulated value of the pulse number of the length measuring roll input to the PLC is converted to roll rotation speed considering the gear ratio, and the target roll diameter is calculated using the predetermined rotation speed of the target roll, the accumulated value of the rotation speed of the length measuring roll, and the diameter of the length measuring roll.

[0050] Another example involves using a PLC to integrate the pulse count from a pulse input device. The pulses of the target roll and the length measuring roll are input to the PLC via a periodic scan. The variable memory that stores the integrated pulse count of the target roll is then stored, with the change in pulse count since the previous scan added to the value. Similarly, the variable memory that stores the integrated pulse count of the length measuring roll is then stored, with the change in pulse count since the previous scan added to the value. In this way, the integrated pulse count up to the current scan is stored in each variable memory. This process is repeated until the integrated pulse count of the target roll reaches a pulse count corresponding to a predetermined rotational speed. At the moment the integrated pulse count of the target roll reaches the predetermined pulse count, the target roll diameter is calculated based on the integrated pulse counts of the target roll and the length measuring roll, in the same manner as in the example above.

[0051] For example, during the operation of a rewinder, the rewind roll diameter decreases continuously from moment to moment. However, in the method described in the reference example, calculations are performed when a predetermined rotational speed is reached, which requires several scans to reach that predetermined speed. This time is also not constant, as it varies depending on the current roll diameter and line speed. When the predetermined rotational speed is high, the change in roll diameter from the previous calculation timing becomes large. Therefore, for example, in the calculation of the output torque reference for the rewind roll drive device, the torque reference changes irregularly in steps, which was a factor in tension fluctuations. Furthermore, while it is possible to reduce the change in roll diameter from the previous calculation timing by decreasing the predetermined rotational speed required to perform the calculation of the rewind roll diameter, the small integrated value of the pulse count makes it more susceptible to errors in pulse count detection due to calculation loss or roll slippage. As a result, the accuracy of the roll diameter calculation varies, and in the torque-based calculation mentioned above, this similarly became a factor in tension fluctuations.

[0052] In contrast, in this embodiment, for example, for each scan of the PLC, the change in the number of pulses since the previous scan is stored in the memory stack, and the accumulated value of the number of pulses up to the current scan is obtained by accumulating the values ​​in the memory stack by going back until a predetermined rotational speed is reached. As a result, for example, calculations can be performed for each scan using an accumulated value of the number of pulses for a predetermined number of rotational speeds that can ensure the same calculation accuracy as the method in the reference example, and the amount of change in the roll diameter from the previous calculation timing can be reduced. For example, in the torque reference output mentioned above, a smoother reference output becomes possible.

[0053] Furthermore, if the memory stack data used for calculations in this scan consisted of n+1 elements, starting from element 0 and going up to element n, then the data from element n+2 onwards will not be needed in subsequent scans and can be deleted. That is, for example, in the first integrated value calculation unit 26, the first integrated value (P sum_UW After calculating the first integrated value, at least a portion of the first difference that was not integrated in the calculation of the first integrated value in the time series data of the first difference is deleted from the storage unit that stores the time series data of the first difference. Similarly, for example, in the second integrated value calculation unit 27, the second integrated value (P sum_W After calculating the second difference, at least a portion of the second difference that was not accumulated in the calculation of the second accumulated value is deleted from the storage unit that stores the second difference time series data. This helps to suppress an increase in memory usage.

[0054] (Second embodiment) Figure 4 is a block diagram illustrating a roll diameter calculation device according to an embodiment. Figures 5(a), 5(b), 6(a), and 6(b) are schematic diagrams illustrating the processing of the first integrated value calculation unit and the second integrated value calculation unit. In the roll diameter calculation device 21a shown in Figure 4, the data stored and integrated in the memory stack differs from that of the roll diameter calculation device 21 described in Figure 2 above. In this example, the first and second processing values ​​are calculated based on the difference between the first and second values. Then, instead of the time-series data of the difference between the first and second values, the time-series data of the first and second processing values ​​are integrated. In all other respects, the roll diameter calculation device 21a is the same as the roll diameter calculation device 21 described above.

[0055] In the same manner as described in Figure 2, the first processing unit 24 acquires a first rotation amount (e.g., pulse count) representing the amount of rotation of the target roll during repeated scans. The first processing unit 24 then calculates a first difference (P) corresponding to the change in the first rotation amount from the previous acquisition of the first rotation amount to the current acquisition of the first rotation amount. dev_UW ) obtain.

[0056] Similarly, the second processing unit 25 acquires a second rotation amount (e.g., pulse count) representing the amount of rotation of the measuring roll 15 during repeated scans. The second processing unit 25 then calculates a second difference (P) corresponding to the change in the second rotation amount from the previous acquisition of the second rotation amount to the current acquisition of the second rotation amount. dev_W ) obtain.

[0057] As shown in Figure 4, the roll diameter calculation device 21a has a determination circuit 31. The roll diameter calculation device 21a also has a memory stack that stores, for example, time-series data of the first processing value. When the first difference is obtained in the first processing unit 24, the determination circuit 31 determines whether the first difference satisfies either the first condition (1) or the second condition (2).

[0058] The first condition (1) is that the latest first processed value (P0) in the time series data of the first processed value UW ) and the latest first difference (P dev_UW The sum of ) is a predetermined value (P con2_UW ) being smaller than, that is, P0 UW +P dev_UW <P con2_UW That is the case. The second condition (2) is that the latest first processed value (P0) in the time series data of the first processed value UW) and the latest first difference (P dev_UW The sum of ) is a predetermined value (P con2_UW ) or greater, that is, P0 UW +P dev_UW ≥P con2_UW P con2_UW For example, this could be around 50 to 1500, but it can be determined as appropriate and is not particularly limited.

[0059] When the first integrated value calculation unit 26 obtains a first difference, if the first condition (1) is satisfied with the obtained first difference (first case), it executes the first process 32, which will be described later with respect to Figure 5(a). Also, when the first integrated value calculation unit 26 obtains a first difference, if the second condition (2) is satisfied with the obtained first difference (second case), it executes the second process 34, which will be described later with respect to Figure 6(a). The first process 32 and the second process 34 are processes that update the time series data of the first processed value. That is, for example, the first integrated value calculation unit 26 updates the time series data of the first processed value by executing the first process or the second process each time the first difference is calculated. For example, the first integrated value calculation unit 26 obtains a first processed value (rewind roll rotation amount processed value) based on the first difference (rewind roll rotation amount value). Subsequently, the first integrated value calculation unit 26 calculates the first integrated value by integrating the updated time-series data of the first processed value.

[0060] The second integrated value calculation unit 27 executes the third process 33, described later with respect to Figure 5(b), if the second difference is obtained and the first condition (1) is satisfied (case 1). The second integrated value calculation unit 27 also executes the fourth process 35, described later with respect to Figure 6(b), if the second difference is obtained and the second condition (2) is satisfied (case 2). The third process 33 and the fourth process 35 are processes that update the time series data of the second processed value. That is, for example, the second integrated value calculation unit 27 updates the time series data of the second processed value by executing the third or fourth process each time the second difference is calculated and the determination circuit 31 makes a determination. For example, the second integrated value calculation unit 27 obtains the second processed value (measurement roll rotation amount processed value) based on the second difference (measurement roll rotation amount value). Then, the second integrated value calculation unit 27 calculates the second integrated value by integrating the updated time series data of the second processed value.

[0061] Figure 5(a) shows the first case (P0) where the first condition (1) is satisfied. UW +P dev_UW <P con2_UW This represents the processing in the first integrated value calculation unit 26 in the case of (P0). As mentioned above, if the first condition (1) is met, the first process 32 is executed. The first process 32 calculates the latest first processed value (P0 UW ) and the latest first difference (P dev_UW This process uses the sum of ( ) and as the latest first processed value. In other words, in time-series data, it replaces the latest first processed value with the sum.

[0062] Specifically, as shown in Figure 5(a), for example, the processing unit 23 includes a memory device having a first memory stack that stores past pulse number deviation data (first processing value). The first memory stack has multiple memory areas whose starting memory address is 0. After the previous scan was completed, the first memory stack has i+1 data stored in the memory areas with memory addresses from 0 to i, and P0 in the memory area with memory address 0. UW Assume that (the latest first processing value) is stored. Here, the operation for this scan is P0 UW P dev_UW The sum of these values ​​is the predetermined number of pulses (P con2_UW In the following cases, the accumulated value will be overwritten at the starting address 0, and the data from address 1 onwards will remain unchanged.

[0063] Figure 6(a) shows the second case where the second condition (2) is satisfied (P0 UW +P dev_UW ≥P con2_UW This represents the processing in the first integrated value calculation unit 26 in the case of (P). As mentioned above, if the second condition (2) is met, the second process 34 is executed. The second process 34 calculates the latest first difference (P dev_UW This process sets the latest first processing value to ).

[0064] Specifically, as shown in Figure 6(a), the scan operation in this case involved P0 UW Pdev_UW The integrated value exceeds a predetermined number of pulses (P con2_UW ), in the first memory stack, the i + 1 data stored after the previous scan is shifted to the memory areas with addresses 1 to i + 1, and the pulse number deviation (the first difference (P dev_UW )) calculated in this scan is stored in the memory area with the leading address 0. In this way, after this scan operation, the first memory stack stores i + 2 data.

[0065] FIG. 5(b) shows the processing in the second integrated value calculation unit 27 in the first case (P0 UW +P dev_UW <P con2_UW ) where the first condition (1) is satisfied. As described above, the second difference (P dev_W ) is calculated, and in the first case where the first condition (1) is satisfied, the third process 33 is executed. The third process 33 is a process of setting the sum of the latest second process value (P0 W ) and the latest second difference (P dev_W ) as the latest second process value. In other words, in the time series data, it is a process of replacing the latest second process value with the sum.

[0066] Specifically, as shown in FIG. 5(b), for example, the processing unit 23 includes a storage device having a second memory stack that stores past pulse number deviation data (the second process value). The second memory stack has a plurality of memory areas with the leading memory address being 0. After the previous scan is completed, the second memory stack stores i + 1 data in the memory areas with memory addresses from 0 to i, and it is assumed that P0 W (the latest second process value) is stored in the memory area with the memory address 0. Here, as the operation of this scan, when the integrated value of P0 UW and P dev_UW is less than or equal to a predetermined number of pulses (P con2_UW ), the integrated value of P0 W and P dev_W is overwritten on the leading address 0, and the data after the address 1 remains as it is.

[0067] Figure 6(b) shows the second case where the second condition (2) is satisfied (P0 UW +P dev_UW ≥P con2_UW This represents the processing in the second integrated value calculation unit 27 in the case of (P dev_W ) is calculated, and if the second condition (2) is met, the fourth process 35 is executed. The fourth process 35 calculates the latest second difference (P dev_W This process sets the latest second processing value to ).

[0068] Specifically, as shown in Figure 6(b), the operation of this scan was P0 UW P dev_UW The sum of these values ​​is the predetermined number of pulses (P con2_UW If it exceeds (P), the i+1 data stored after the previous scan in the second memory stack are shifted to the memory area with addresses 1 to i+1, and the pulse number deviation calculated in the current scan (second difference (P)) is placed in the memory area with starting address 0. dev_W )) is stored. In this way, after this scan operation, the second memory stack will store i+2 pieces of data.

[0069] The second processing value represents the amount of rotation of the measuring roll 15, corresponding to the first processing value. In other words, the amount of rotation of the measuring roll 15 represented by the second processing value corresponds to the amount of rotation of the target roll represented by the first processing value. For example, the latest second processing value is the amount of rotation of the measuring roll 15 while the target roll rotates, as represented by the latest first processing value.

[0070] Each time a new first difference is obtained in the first processing unit 24, the time series data of the first processed value is updated. Then, as shown in Figures 5(a) and 6(a), the first integrated value calculation unit 26 calculates the first integrated value (P) by integrating at least some of the first processed values ​​included in the time series data of the first processed value. sum_UW The first integrated value is calculated when the first integrated value is a predetermined value (P) in the time series data of the first processed value updated based on the latest first difference. con_UW This is the value obtained by accumulating the first difference in reverse chronological order until it exceeds 1. In other words, the first integrated value calculation unit 26 integrates the data of the memory stack updated by the current scan, working backward from the beginning through the previously stored memory, and calculates a predetermined value (P con_UW The sum is accumulated until it exceeds a predetermined value (P). When the nth data point is accumulated with the first one being the 0th, the accumulated value is calculated to reach a predetermined value (P). con_UW If it exceeds ), the first integrated value (P sum_UW )

[0071] Thus, the first integrated value calculation unit 26 calculates predetermined values ​​(P) in order from the newest first processed value in the updated time-series data of the first processed value. con_UW The first integrated value (P) is obtained by accumulating the first processed value until it exceeds ) sum_UW Calculate ).

[0072] Each time a new second difference is obtained in the second processing unit 25, the time series data of the second processed value is updated. Then, as shown in Figures 5(b) and 6(b), the second integrated value calculation unit 27 calculates a second integrated value (P) obtained by integrating at least some of the second processed values ​​included in the time series data of the second processed value. sum_W The second integrated value is calculated by summing the second processed values ​​from the 1st to the (n+1th)th in the time series data of the second processed values, which have been updated based on the latest second difference. In other words, the second integrated value is the sum of the same number of second processed values ​​that were accumulated in the calculation of the first integrated value. In other words, the second integrated value calculation unit 27 integrates the same number of n+1 data points as the number of data points integrated in the first integrated value calculation unit 26, starting from the beginning of the second memory stack, and calculates the second integrated value (P sum_W ) is calculated.

[0073] Thus, the second integrated value calculation unit 27 calculates the second integrated value (P) by accumulating the n+1 second processed values ​​selected in reverse chronological order in the time-series data of the second processed values ​​updated based on the latest second difference, when the number of first processed values ​​accumulated in the calculation of the first integrated value is represented as n+1 (where n is an integer). sum_W Calculate ).

[0074] Each scan includes the process of acquiring the first rotation amount (number of pulses), calculating the first difference, and updating the time-series data of the first processed value based on the calculated first difference, and the process of acquiring the second rotation amount (number of pulses), calculating the second difference, and updating the time-series data of the second processed value based on the calculated second difference. The processing unit 23 repeats this scan, for example, at a fixed period. After the scan, the first integrated value calculation unit 26 and the second integrated value calculation unit 27 calculate the first integrated value and the second integrated value. For example, the first integrated value and the second integrated value are calculated each time a scan is performed.

[0075] The roll diameter calculation unit 28 calculates the diameter of the target roll in the same manner as the processing in the roll diameter calculation device 21 described above.

[0076] In the second embodiment, as in the first embodiment, the calculation accuracy of the roll diameter can be improved. Also, in the second embodiment, as described above, in the first case (P0 UW +P dev_UW <P con2_UW In this case, the first process 32 and the third process 33 are executed. This helps to suppress the increase in memory usage.

[0077] Furthermore, for example, in the first integrated value calculation unit 26, the first integrated value (P sum_UW After calculating the first integrated value, at least a portion of the first processed value that was not integrated in the calculation of the first integrated value may be deleted from the storage unit that stores the time series data of the first processed value. Similarly, for example, in the second integrated value calculation unit 27, the second integrated value (P sum_W After the calculation of the second processed value, at least a portion of the second processed value that was not accumulated in the calculation of the second integrated value may be deleted from the storage unit that stores the time series data of the second processed value. This can further suppress the increase in memory usage.

[0078] As described above, the roll diameter calculation devices according to the first and second embodiments allow for the accurate and continuous calculation of the unwinding roll diameter of a rewinder system, for example, using a calculation device such as a PLC, with each scan. Furthermore, the roll diameter calculation device according to the second embodiment can perform calculations accurately and continuously with each scan, even with the limited memory size of a calculation device such as a PLC. In particular, it becomes possible to reduce the memory size used when the roll diameter is large and the system operates at low speed for a long period of time. The embodiments can be applied not only to the unwinding roll diameter but also to the winding roll diameter, which increases continuously from moment to moment.

[0079] In each embodiment, at the start of operation of the rewinder equipment, the data at each address of each memory stack may be 0. That is, for example, the data stored in the memory area at address 0 at the start of operation is 0. In other words, for example, the initial values ​​of the latest first and second processing values ​​are 0. Immediately after starting the rewind operation, there is not enough data in the memory stack, and a predetermined number of pulses (P con_UW Although it is not possible to secure a certain number of pulses (P) in the time-series data stored in the memory stack, it is possible to perform calculations for each scan by using the cumulative value of all data in the memory stack in each memory stack. con_UW After operating for as long as possible to ensure sufficient capacity, the roll diameter calculation device 21 may calculate the target roll diameter each time a scan is performed during at least a portion of the period while the sheet material is being wound up.

[0080] Furthermore, in the above example, a predetermined value (P) is set for the target roll. con_UW ) or greater cumulative value (P sum_UW ) is calculated, and for the length measuring roll, its integrated value (P sum_UW ) corresponds to the integrated value (P sum_W) is calculated. Conversely, an integrated value of a predetermined value or greater may be calculated for the measuring roll, and an integrated value corresponding to that integrated value may be calculated for the target roll. That is, for example, the first processing unit 24 may perform the same calculation as the first processing unit 24 above with respect to the rotation amount of the measuring roll 15 and set the value as the first difference, and the second processing unit 25 may perform the same calculation as the second processing unit 25 above with respect to the rotation amount of the target roll and set the value as the second difference. In this case, similar to the example above, the first difference is integrated to calculate an integrated value of a predetermined value or greater corresponding to the rotation amount of the measuring roll 15, and the second difference is integrated to calculate an integrated value corresponding to the rotation amount of the target roll. The diameter of the target roll can be calculated using the rotation number of each roll converted from each integrated value and the diameter of the measuring roll 15.

[0081] The above mainly describes the case where the diameter of the rewind roll 41 is calculated (i.e., when the target roll is the rewind roll 41). In this embodiment, the diameter of the winding roll 42 can be calculated by a similar process. The calculation of the diameter of the rewind roll 41 and the calculation of the diameter of the winding roll 42 are independent calculations. For example, the process for calculating the diameter of the winding roll 42 (i.e., when the target roll is the winding roll 42) is performed as follows. The input device 22 obtains the winding roll rotation amount number, corresponding to the amount of rotation of the winding roll 42, as the first rotation amount number, based on the signal from the detector 19. The first processing unit 24 repeats the process of obtaining the winding roll rotation amount number. The first processing unit 24 obtains the winding roll rotation amount value, corresponding to the amount of rotation of the winding roll from the previous acquisition of the winding roll rotation amount number to the current acquisition of the winding roll rotation amount number, as the first value. The first integrated value calculation unit 26 calculates the winding roll rotation amount integrated value, which is obtained by integrating at least some of the winding roll rotation amount values ​​in the time-series data of the winding roll rotation amount values ​​in reverse chronological order, as the first integrated value. The second processing unit 25 repeats the process of obtaining the measuring roll rotation amount number, corresponding to the amount of rotation of the measuring roll, in relation to the winding roll rotation amount. The second processing unit 25 obtains the measuring roll rotation amount value, corresponding to the amount of rotation of the measuring roll from the previous acquisition of the measuring roll rotation amount to the current acquisition of the measuring roll rotation amount number. The second integrated value calculation unit 27 calculates the integrated length roll rotation value as the aforementioned second integrated value, by integrating at least some of the length roll rotation value values ​​selected in reverse chronological order from the time-series data of the length-measuring roll rotation value. The roll diameter calculation unit 28 calculates the diameter of the winding roll 42 based on the integrated winding roll rotation value, the integrated length roll rotation value, and the diameter of the length-measuring roll 15. Also, similar to the description of the second embodiment above, for example, the integrated winding roll rotation value may be the integrated value of the first processed value (winding roll rotation processing value) based on the first value (winding roll rotation value), and the integrated length roll rotation value may be the integrated value of the second processed value (length roll rotation processing value) based on the second value (length roll rotation value).

[0082] Furthermore, the block diagram is a functional conceptual representation for explanatory purposes and does not necessarily have to be physically configured as shown. Multiple blocks may be integrated, or each block may be dispersed, as appropriate. The roll diameter calculation device may have memory to store a program that causes a computer or other calculation circuit to execute the roll diameter calculation method. For example, the roll diameter calculation method is executed through the cooperation of this program and the calculation circuit.

[0083] The embodiments described above are examples that embody the present invention, and the present invention is not limited to these embodiments. For example, the present invention also includes the addition, deletion, or modification of some components in the embodiments described above. [Explanation of Symbols]

[0084] 12: Gear 13: Electric motor 14: Detector 15: Measuring Roll 16: Gear 17: Electric motor 18: Detector 21: Roll diameter calculation device 21a: Roll diameter calculation device 22: Input device 23: Processing Unit 24: First Processing Unit 25: Second Processing Unit 26: First integrated value calculation unit 27: Second integrated value calculation unit 28: Roll diameter calculation unit 31: Judgment circuit 32: First Processing 33: Third Processing 34: Second Processing 35: Fourth Processing 41: Rewind Roll 41a: Core 42: Reel roll 42a: Second winding core 43: Sheet material 200: Equipment C1 i , C1 i-1 : First rotation amount C2 i , C2 i-1 : Second rotation amount R41, R42: Diameter T1: Detection period T i , T i-1 : Detection time

Claims

1. A roll diameter calculation device for calculating the diameter of a target roll, The aforementioned target roll is a rewind roll or a wind-up roll, The sheet material wound on the rewind roll is unwound and conveyed as the rewind roll rotates. The conveyed sheet material is wound onto the winding roll as the winding roll rotates. The measuring roll rotates according to the amount of sheet material being conveyed. The roll diameter calculation device is A first processing unit repeatedly performs the process of acquiring a first rotation amount corresponding to the rotation amount of one of the target roll and the length measuring roll, and obtains a first value corresponding to the change in the first rotation amount from the previous acquisition of the first rotation amount to the current acquisition of the first rotation amount. A first integrated value calculation unit calculates a first integrated value by accumulating at least some of the first values ​​in the time series data of the first values ​​in reverse chronological order, A second processing unit repeatedly performs the process of obtaining a second rotation amount corresponding to the rotation amount of the target roll and the other measuring roll, and obtains a second value corresponding to the change in the second rotation amount from the previous acquisition of the second rotation amount to the current acquisition of the second rotation amount. A second integrated value calculation unit calculates a second integrated value by accumulating at least some of the second values ​​selected in descending order from the time-series data of the second values, A roll diameter calculation unit that calculates the diameter of the target roll based on the first integrated value, the second integrated value, and the diameter of the measuring roll, A roll diameter calculation device equipped with the following features.

2. The roll diameter calculation device according to claim 1, wherein, after the calculation of the first integrated value, at least a portion of the first value that was not integrated in the calculation of the first integrated value is deleted from the storage unit that stores the time series data of the first value.

3. A roll diameter calculation device for calculating the diameter of a target roll, The aforementioned target roll is a rewind roll or a wind-up roll, The sheet material wound on the rewind roll is unwound and conveyed as the rewind roll rotates. The conveyed sheet material is wound onto the winding roll as the winding roll rotates. The measuring roll rotates according to the amount of sheet material being conveyed. The roll diameter calculation device is A first processing unit repeatedly performs the process of obtaining a first rotation amount corresponding to the rotation amount of one of the target roll and the length measuring roll, and obtains a first value corresponding to the change in the first rotation amount from the previous acquisition of the first rotation amount to the current acquisition of the first rotation amount. A first integrated value calculation unit that integrates time-series data of a first processed value based on the first value, When the first value is obtained, if the sum of the latest first processed value and the first value is less than or equal to a predetermined value, a first process is performed to set the sum as the latest first processed value; if the sum is greater than the predetermined value, a second process is performed to set the first value as the latest first processed value. The first integrated value calculation unit calculates a first integrated value by accumulating at least some of the first processed values ​​in the time series data of the first processed values ​​in reverse chronological order, A second processing unit repeatedly performs the process of obtaining a second rotation amount corresponding to the rotation amount of the target roll and the other measuring roll, and obtains a second value corresponding to the change in the second rotation amount from the previous acquisition of the second rotation amount to the current acquisition of the second rotation amount, A second integrated value calculation unit that integrates time-series data of a second processed value based on the second value, wherein when the second value is obtained, in the first case, it performs a process to make the sum of the latest second processed value and the second value the latest second processed value, and in the second case, it performs a process to make the second value the latest second processed value, The second integrated value calculation unit calculates a second integrated value by accumulating at least some of the second processing values ​​selected in reverse chronological order from the time-series data of the second processing values, A roll diameter calculation unit calculates the diameter of the target roll based on the first integrated value, the second integrated value, and the diameter of the measuring roll, A roll diameter calculation device equipped with the following features.

4. The roll diameter calculation device according to claim 3, wherein, after the calculation of the first integrated value, at least a portion of the first processed values ​​that were not integrated in the calculation of the first integrated value are deleted from the storage unit that stores the time series data of the first processed values.

5. A roll diameter calculation device according to any one of claims 1 to 4, wherein, at least for a portion of the period during which the sheet material is being wound, each time the first processing unit calculates the first value and the second processing unit calculates the second value, the first integrated value calculation unit calculates the first integrated value, the second integrated value calculation unit calculates the second integrated value, and the roll diameter calculation unit calculates the diameter of the target roll.

6. A method for calculating the diameter of a target roll, The aforementioned target roll is a rewind roll or a wind-up roll, The sheet material wound on the rewind roll is unwound and conveyed as the rewind roll rotates. The conveyed sheet material is wound onto the winding roll as the winding roll rotates. The measuring roll rotates according to the amount of sheet material being conveyed. The method for calculating the roll diameter is: The process of obtaining a first rotation amount corresponding to the rotation amount of one of the target roll and the measuring roll is repeated, and a first value corresponding to the change in the first rotation amount from the previous acquisition of the first rotation amount to the current acquisition of the first rotation amount is obtained. To calculate a first integrated value by accumulating at least some of the first values ​​in the time series data of the first value in descending order, The process of obtaining a second rotation amount corresponding to the rotation amount of the target roll and the other measuring roll is repeated, and a second value is obtained corresponding to the change in the second rotation amount from the previous acquisition of the second rotation amount to the current acquisition of the second rotation amount. To calculate a second integrated value by accumulating at least some of the second values ​​selected in descending order from the time series data of the second value, The diameter of the target roll is calculated based on the first integrated value, the second integrated value, and the diameter of the measuring roll. A method for calculating roll diameter, including the roll diameter.

7. A method for calculating the diameter of a target roll, The aforementioned target roll is a rewind roll or a wind-up roll, The sheet material wound on the rewind roll is unwound and conveyed as the rewind roll rotates. The conveyed sheet material is wound onto the winding roll as the winding roll rotates. The measuring roll rotates according to the amount of sheet material being conveyed. The method for calculating the roll diameter is: The process of obtaining a first rotation amount corresponding to the rotation amount of one of the target roll and the measuring roll is repeated, and a first value corresponding to the change in the first rotation amount from the previous acquisition of the first rotation amount to the current acquisition of the first rotation amount is obtained. When the first value is obtained, if the sum of the latest first processed value and the first value is less than or equal to a predetermined value, a first process is performed to set the sum as the latest first processed value; if the sum is greater than the predetermined value, a second process is performed to set the first value as the latest first processed value. To calculate a first integrated value by accumulating at least some of the first processed values ​​in the time series data of the first processed values ​​in descending order, The process of obtaining a second rotation amount corresponding to the rotation amount of the target roll and the other measuring roll is repeated, and a second value is obtained corresponding to the change in the second rotation amount from the previous acquisition of the second rotation amount to the current acquisition of the second rotation amount. When the second value is obtained, in the first case, a process is performed to make the sum of the latest second processed value and the second value the latest second processed value, and in the second case, a process is performed to make the second value the latest second processed value. To calculate a second integrated value by accumulating at least some of the second processed values ​​selected in descending order from the time-series data of the second processed values, The diameter of the target roll is calculated based on the first integrated value, the second integrated value, and the diameter of the measuring roll. A method for calculating roll diameter, including the roll diameter.

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