Display method, method and device for generating learned model, and program product

Abstract

The present invention provides a display method, a method for generating a learning-completed model, an apparatus, and a program. First data indicating the position of a first end face of a first sheet (202) and second data indicating the position of a second end face of a second sheet (203) are obtained from an inspection machine (207). If it is determined that the continuity of the position of the first end face indicated by the first data and the continuity of the position of the second end face indicated by the second data are tilted from a reference line, the wound body (204) is defective, and information indicating that the cause of the defect is any one of a plurality of winding cores is output to a display unit (132) for maintenance.

Description

Technical Field

[0001] The present disclosure relates to a display method for displaying information related to maintenance of production equipment, a method and apparatus for generating a learned model, and a program product. Background Art

[0002] To prevent deterioration and failures and maintain normal operation of certain equipment, a maintenance system is typically installed. Patent Document 1 discloses a maintenance system that monitors substations for abnormalities such as drainage pump failures and switchboard grounding. When an abnormality occurs, it notifies personnel responsible for the equipment and stores information related to the repair and maintenance work performed by the notified personnel.

[0003] Prior art literature

[0004] Patent Literature

[0005] Patent Document 1: Japanese Patent Application Laid-Open No. 2017-167708 Summary of the Invention

[0006] Means for solving problems

[0007] The display method disclosed in the present invention is used to display information of a winding device on a display device, wherein the winding device comprises: a first feeding mechanism for feeding a first electrode sheet; a second feeding mechanism for feeding a second electrode sheet; a first laminating roller, arranged on the side of the first electrode sheet; a second laminating roller, arranged on the side of the second electrode sheet, and forming a pair with the first laminating roller to laminate the first electrode sheet and the second electrode sheet; a first winding core; a second winding core; and a driving mechanism for moving the first winding core to a given winding position to overlap the first electrode sheet and the second electrode sheet. The first electrode sheet and the second electrode sheet are wound around the first winding core, the second winding core is moved to the given winding position, and the first electrode sheet and the second electrode sheet are wound around the second winding core in an overlapping manner; and the sensor reads the first end face of the first electrode sheet and the second end face of the second electrode sheet along the radial direction of the first winding body on which the first electrode sheet and the second electrode sheet are wound in an overlapping manner on the first winding core, and reads the first end face of the first electrode sheet and the second end face of the second electrode sheet along the radial direction of the second winding body on which the first electrode sheet and the second electrode sheet are wound in an overlapping manner on the second winding core. The third end face of the first electrode sheet and the fourth end face of the second electrode sheet, in the display method, a first group of data indicating the position of the first end face read along the radial direction of the first winding body, a second group of data indicating the position of the second end face read along the radial direction of the first winding body, a third group of data indicating the position of the third end face read along the radial direction of the second winding body, and a fourth group of data indicating the position of the fourth end face read along the radial direction of the second winding body are obtained from the sensor, and when the continuity of the position of the first end face represented by the first group of data and the second group of data and the continuity of the position of the second end face appear to be parallel to a baseline, and the continuity of the position of the third end face represented by the third group of data and the fourth group of data and the continuity of the position of the fourth end face appear to be inclined from the baseline, it is judged that the second winding body is defective and the cause of the defect is the second winding core, and information indicating that the cause of the defect is the second winding core is output to the display device.

[0008] The method for generating a learned model disclosed in the present invention is used for the maintenance of a winding device, and the winding device comprises: a first supply mechanism for supplying a first electrode sheet; a second supply mechanism for supplying a second electrode sheet; a first bonding roller, arranged on the side of the first electrode sheet; a second bonding roller, arranged on the side of the second electrode sheet, and bonding the first electrode sheet and the second electrode sheet in pairs with the first bonding roller; a first winding core; a second winding core; a driving mechanism for moving the first winding core to a given winding position, and winding the first electrode sheet and the second electrode sheet overlappingly on the first winding core, and moving the second winding core to the given winding position, and winding the first electrode sheet and the second electrode sheet overlappingly on the first winding core. Wound on the second winding core; and a sensor, reading the first end face of the first electrode sheet and the second end face of the second electrode sheet along the radial direction of the first winding body on which the first electrode sheet and the second electrode sheet are wound in a plurality of overlapping turns on the first winding core, reading the third end face of the first electrode sheet and the fourth end face of the second electrode sheet along the radial direction of the second winding body on which the first electrode sheet and the second electrode sheet are wound in a plurality of overlapping turns on the second winding core, in the method for generating the learned model, obtaining from the sensor a first group of data indicating the position of the first end face read along the radial direction of the first winding body, and a first group of data indicating the position of the first end face read along the radial direction of the first winding body. The second set of data indicating the position of the second end face read in the radial direction of the second winding body, the third set of data indicating the position of the third end face read along the radial direction of the second winding body, and the fourth set of data indicating the position of the fourth end face read along the radial direction of the second winding body, when the continuity of the position of the first end face indicated by the first set of data and the second set of data and the continuity of the position of the second end face appear to be parallel to the baseline, and the continuity of the position of the third end face indicated by the third set of data and the fourth set of data and the continuity of the position of the fourth end face appear to be inclined from the baseline, it is judged that the second winding body is defective, And the cause of the defect is the second core, and information indicating that the cause of the defect is the second core is output to the display device. When it is judged that the first difference between the first defect rate of the winding body before the second core is maintained and the second defect rate of the winding body after the second core is maintained is less than a given value, the third set of data and the fourth set of data read before the second core is maintained are not used to generate the learned model. On the other hand, when it is judged that the first difference is greater than the given value, the third set of data and the fourth set of data read before the second core is maintained are used to generate the learned model.

[0009] The method for generating a learned model disclosed in the present invention is used for the maintenance of a winding device, and the winding device comprises: a first supply mechanism for supplying a first electrode sheet; a second supply mechanism for supplying a second electrode sheet; a first bonding roller, arranged on the side of the first electrode sheet; a second bonding roller, arranged on the side of the second electrode sheet, and bonding the first electrode sheet and the second electrode sheet in pairs with the first bonding roller; a first winding core; a second winding core; a driving mechanism for moving the first winding core to a given winding position, and winding the first electrode sheet and the second electrode sheet overlappingly on the first winding core, and moving the second winding core to the given winding position, and winding the first electrode sheet and the second electrode sheet overlappingly. The sensor reads the first end face of the first electrode sheet and the second end face of the second electrode sheet along the radial direction of the first winding body on which the first electrode sheet and the second electrode sheet are wound in a plurality of overlapping turns on the first winding core, and reads the third end face of the first electrode sheet and the fourth end face of the second electrode sheet along the radial direction of the second winding body on which the first electrode sheet and the second electrode sheet are wound in a plurality of overlapping turns on the second winding core. In the method for generating the learned model, the sensor obtains a first group of data indicating the position of the first end face read along the radial direction of the first winding body, a first group of data indicating the position of the first end face read along the radial direction of the first winding body, and a first group of data indicating the position of the first end face read along the radial direction of the first winding body. The second group of data indicating the position of the second end face read in the radial direction, the third group of data indicating the position of the third end face read along the radial direction of the second winding body, and the fourth group of data indicating the position of the fourth end face read along the radial direction of the second winding body, when the continuity of the position of the first end face indicated by the first group of data and the second group of data and the continuity of the position of the second end face appear to be parallel to the baseline, and the continuity of the position of the third end face indicated by the third group of data and the fourth group of data and the continuity of the position of the fourth end face appear to be inclined from the baseline, it is judged that the second winding body is defective and the The cause of the defect is the second core, and information indicating that the cause of the defect is the second core is output to the display device. When it is judged based on the third set of data before and after the second core is maintained and the fourth set of data that the second defect rate of the winding body after the second core is maintained is greater than the given value, the third set of data and the fourth set of data read before the second core is maintained are not used to generate the learned model. On the other hand, when it is judged that the second defect rate is less than the given value, the third set of data and the fourth set of data read before the second core is maintained are used to generate the learned model.

[0010] The method for generating a learning-completed model disclosed herein is used for maintenance of a winding device, the winding device comprising: a first feeding mechanism for feeding a first electrode sheet; a second feeding mechanism for feeding a second electrode sheet; a first laminating roller disposed on the side of the first electrode sheet; a second laminating roller disposed on the side of the second electrode sheet and forming a pair with the first laminating roller to laminate the first electrode sheet and the second electrode sheet; a first winding core; a second winding core; a driving mechanism for moving the first winding core to a given winding position, winding the first electrode sheet and the second electrode sheet in an overlapping manner around the first winding core, and moving the second winding core to the given winding position, winding the first electrode sheet and the second electrode sheet in an overlapping manner around the second winding core;and a sensor, reading the first end face of the first electrode sheet and the second end face of the second electrode sheet along the radial direction of the first winding body on which the first electrode sheet and the second electrode sheet are wound in a plurality of overlapping turns on the first winding core, and reading the third end face of the first electrode sheet and the fourth end face of the second electrode sheet along the radial direction of the second winding body on which the first electrode sheet and the second electrode sheet are wound in a plurality of overlapping turns on the second winding core. In the method for generating the learned model, the sensor is used to obtain the information read along the radial direction of the first winding body. The first set of data indicating the position of the first end face, the second set of data indicating the position of the second end face read along the radial direction of the first winding body, the third set of data indicating the position of the third end face read along the radial direction of the second winding body, and the fourth set of data indicating the position of the fourth end face read along the radial direction of the second winding body, the continuity of the position of the first end face indicated by the first set of data and the second set of data and the continuity of the position of the second end face are parallel to the baseline, and the third set of data and the fourth set of data are parallel to the baseline. When the continuity of the position of the third end face and the continuity of the position of the fourth end face are shown to be inclined from the baseline, a learning model is generated for judging that the defective cause of the second winding body is the second winding core. Based on the judgment using the learning model, information indicating that the defective cause is the second winding core is output to the display device for maintenance. When the third set of data and the fourth set of data before the second winding core is judged to be maintained are input into the learning model, the first set of data indicating that the defect of the second winding body is improved is obtained. If a first difference between the probability of the defect of the second winding body being improved and a second probability of the defect of the second winding body being improved obtained by inputting the third and fourth sets of data after the second winding core is maintained into the learned model is less than a given value, the third and fourth sets of data read before the second winding core is maintained are not used to update the learned model. On the other hand, if it is determined that the first difference is greater than the given value, the third and fourth sets of data before the second winding core is maintained are used to update the learned model.

[0011] The method for generating a learned model disclosed in the present invention is used for the maintenance of a winding device, and the winding device comprises: a first supply mechanism for supplying a first electrode sheet; a second supply mechanism for supplying a second electrode sheet; a first bonding roller, arranged on the side of the first electrode sheet; a second bonding roller, arranged on the side of the second electrode sheet, and bonding the first electrode sheet and the second electrode sheet in pairs with the first bonding roller; a first winding core; a second winding core; a driving mechanism for moving the first winding core to a given winding position, and winding the first electrode sheet and the second electrode sheet overlappingly on the first winding core, and moving the second winding core to the given winding position, and winding the first electrode sheet and the second electrode sheet overlappingly on the second winding core. ; and a sensor, reading the first end face of the first electrode sheet and the second end face of the second electrode sheet along the radial direction of the first winding body on which the first electrode sheet and the second electrode sheet are wound in a plurality of overlapping turns on the first winding core, and reading the third end face of the first electrode sheet and the fourth end face of the second electrode sheet along the radial direction of the second winding body on which the first electrode sheet and the second electrode sheet are wound in a plurality of overlapping turns on the second winding core, in the method for generating the learned model, obtaining from the sensor a first set of data indicating the position of the first end face read along the radial direction of the first winding body and a first set of data indicating the position of the second end face read along the radial direction of the first winding body The second set of data, the third set of data indicating the position of the third end face read along the radial direction of the second winding body, and the fourth set of data indicating the position of the fourth end face read along the radial direction of the second winding body, when the continuous position of the first end face indicated by the first set of data and the second set of data and the continuous position of the second end face are parallel to the baseline, and the continuous position of the third end face indicated by the third set of data and the fourth set of data and the continuous position of the fourth end face are inclined from the baseline, a learning model is generated for judging that the cause of the defect of the second winding body is the second winding core, based on Based on the judgment of the learned model, information indicating that the cause of the defect is the second core is output to the display device for maintenance. When it is judged that the second probability of the defect of the second winding body being improved by inputting the third set of data and the fourth set of data after the second core is maintained into the learned model is greater than a given value, the third set of data and the fourth set of data read before the second core is maintained are not used to update the learned model. On the other hand, when it is judged that the second probability is less than the given value, the third set of data and the fourth set of data before the second core is maintained are used to update the learned model.

[0012] The device disclosed in the present invention is a device for outputting information for displaying information related to the maintenance of a winding device, wherein the winding device comprises: a first feeding mechanism for feeding a first electrode sheet; a second feeding mechanism for feeding a second electrode sheet; a first bonding roller arranged on the side of the first electrode sheet; a second bonding roller arranged on the side of the second electrode sheet and forming a pair with the first bonding roller to bond the first electrode sheet and the second electrode sheet; a first winding core; a second winding core; and a driving mechanism for moving the first winding core to a given winding position to bond the first electrode sheet and the second electrode sheet. The electrode sheet is wound on the first winding core in an overlapping manner, and the second winding core is moved to the given winding position, and the first electrode sheet and the second electrode sheet are wound on the second winding core in an overlapping manner; and a sensor is used to read the first end face of the first electrode sheet and the second end face of the second electrode sheet along the radial direction of the first winding body on which the first electrode sheet and the second electrode sheet are wound in an overlapping manner on the first winding core, and to read the first end face of the first electrode sheet and the second end face of the second electrode sheet along the radial direction of the second winding body on which the first electrode sheet and the second electrode sheet are wound in an overlapping manner on the second winding core. The third end face of the first electrode sheet and the fourth end face of the second electrode sheet, the device for outputting information comprises: an acquisition unit, which acquires from the sensor a first set of data indicating the position of the first end face read along the radial direction of the first winding body, a second set of data indicating the position of the second end face read along the radial direction of the first winding body, a third set of data indicating the position of the third end face read along the radial direction of the second winding body, and a fourth set of data indicating the position of the fourth end face read along the radial direction of the second winding body; and a notification judgment unit, which judges whether the second winding body is defective based on whether the continuity of the position of the first end face represented by the first set of data and the second set of data and the continuity of the position of the second end face are parallel to the baseline, and whether the continuity of the position of the third end face represented by the third set of data and the fourth set of data and the continuity of the position of the fourth end face are inclined from the baseline. If it is judged to be defective, information indicating that the cause of the defect is the second winding core is output to the display device for maintenance.

[0013] The device disclosed in the present invention is an information output device for displaying information related to the maintenance of a winding device, wherein the winding device comprises: a first supply mechanism for supplying a first electrode sheet; a second supply mechanism for supplying a second electrode sheet; a first bonding roller, arranged on the side of the first electrode sheet; a second bonding roller, arranged on the side of the second electrode sheet, and forming a pair with the first bonding roller to bond the first electrode sheet and the second electrode sheet; a first winding core; a second winding core; a driving mechanism for moving the first winding core to a given winding position, winding the first electrode sheet and the second electrode sheet overlappingly on the first winding core, and moving the second winding core to the given winding position to bond the first electrode sheet and the second electrode sheet is wound on the second winding core in an overlapping manner; and a sensor reads the first end face of the first electrode sheet and the second end face of the second electrode sheet along the radial direction of the first winding body on which the first electrode sheet and the second electrode sheet are wound in an overlapping manner for multiple turns on the first winding core, and reads the third end face of the first electrode sheet and the fourth end face of the second electrode sheet along the radial direction of the second winding body on which the first electrode sheet and the second electrode sheet are wound in an overlapping manner for multiple turns on the second winding core, the device for outputting information comprises: an acquisition unit that acquires from the sensor a first set of data indicating the position of the first end face read along the radial direction of the first winding body, a second set of data indicating the position of the second end face read along the radial direction of the first winding body, a third set of data indicating the position of the third end face read along the radial direction of the second winding body, and a fourth set of data indicating the position of the fourth end face read along the radial direction of the second winding body; and a notification judgment unit, based on whether the continuity of the position of the first end face indicated by the first set of data and the second set of data and the continuity of the position of the second end face are parallel to the baseline, and whether the continuity of the position of the third end face indicated by the third set of data and the fourth set of data and the continuity of the position of the fourth end face are inclined from the baseline, to judge the Whether the second winding body is defective, if it is defective, outputting information indicating that the cause of the defect is the second core to the display device for maintenance; and a model generating unit, not using the third set of data and the fourth set of data read before the second core is maintained when it is judged that the first difference between the first defective rate of the winding body before the second core is maintained and the second defective rate of the winding body after the second core is maintained is less than a given value, but using the third set of data and the fourth set of data read before the second core is maintained when it is judged that the first difference is greater than the given value to generate a learned model.

[0014] The device disclosed in the present invention is a device for outputting information for displaying information related to the maintenance of a winding device, wherein the winding device comprises: a first feeding mechanism for feeding a first electrode sheet; a second feeding mechanism for feeding a second electrode sheet; a first bonding roller arranged on the side of the first electrode sheet; a second bonding roller arranged on the side of the second electrode sheet and forming a pair with the first bonding roller to bond the first electrode sheet and the second electrode sheet; a first winding core; a second winding core; a driving mechanism for moving the first winding core to a given winding position, winding the first electrode sheet and the second electrode sheet overlappingly on the first winding core, and moving the second winding core to the given winding position, The second electrode sheet is wound on the second winding core in an overlapping manner; and a sensor reads the first end face of the first electrode sheet and the second end face of the second electrode sheet along the radial direction of the first winding body on which the first electrode sheet and the second electrode sheet are wound in an overlapping manner on the first winding core, and reads the third end face of the first electrode sheet and the fourth end face of the second electrode sheet along the radial direction of the second winding body on which the first electrode sheet and the second electrode sheet are wound in an overlapping manner on the second winding core, and the device for outputting information comprises: an acquisition unit that acquires from the sensor a first group of data indicating the position of the first end face read along the radial direction of the first winding body, a data indicating the position of the first end face a second set of data indicating the position of the second end face read along the radial direction of the first winding body, a third set of data indicating the position of the third end face read along the radial direction of the second winding body, and a fourth set of data indicating the position of the fourth end face read along the radial direction of the second winding body; and a notification judgment unit for judging whether the continuity of the position of the first end face indicated by the first set of data and the second set of data and the continuity of the position of the second end face are parallel to a baseline, and whether the continuity of the position of the third end face indicated by the third set of data and the fourth set of data and the continuity of the position of the fourth end face are inclined from the baseline. Whether the winding body is defective, if it is defective, information indicating that the cause of the defect is the second core is output to the display device for maintenance; and a model generating unit, not using the third set of data and the fourth set of data read before the second core is maintained when it is judged that the second defect rate of the winding body after the second core is maintained is greater than a given value based on the third set of data and the fourth set of data before and after the second core is maintained, but using the third set of data and the fourth set of data read before the second core is maintained when it is judged that the second defect rate is less than the given value to generate the learned model.

[0015] The device disclosed in the present invention is a device for outputting information for displaying information related to the maintenance of a winding device, wherein the winding device comprises: a first feeding mechanism for feeding a first electrode sheet; a second feeding mechanism for feeding a second electrode sheet; a first laminating roller arranged on the side of the first electrode sheet; a second laminating roller arranged on the side of the second electrode sheet and forming a pair with the first laminating roller to laminate the first electrode sheet and the second electrode sheet; a first winding core; a second winding core; and a driving mechanism for moving the first winding core to a given winding position to laminate the first electrode sheet and the second electrode sheet. The second electrode sheet is wound on the first winding core in an overlapping manner, and the second winding core is moved to the given winding position, and the first electrode sheet and the second electrode sheet are wound on the second winding core in an overlapping manner; and the sensor reads the first end face of the first electrode sheet and the second end face of the second electrode sheet along the radial direction of the first winding body on which the first electrode sheet and the second electrode sheet are wound in an overlapping manner on the first winding core, and reads the first end face of the first electrode sheet and the second end face of the second electrode sheet along the radial direction of the second winding body on which the first electrode sheet and the second electrode sheet are wound in an overlapping manner on the second winding core. The third end face of the first electrode sheet and the fourth end face of the second electrode sheet are read in the radial direction, and the device for outputting information comprises: an acquisition unit that acquires from the sensor a first set of data indicating the position of the first end face read along the radial direction of the first winding body, a second set of data indicating the position of the second end face read along the radial direction of the first winding body, a third set of data indicating the position of the third end face read along the radial direction of the second winding body, and a fourth set of data indicating the position of the fourth end face read along the radial direction of the second winding body; a model generation unit that determines whether the winding body is defective based on whether the continuity of the position of the first end face indicated by the first set of data and the second set of data and the continuity of the position of the second end face are parallel to a baseline, and whether the continuity of the position of the third end face indicated by the third set of data and the fourth set of data and the continuity of the position of the fourth end face are inclined from the baseline, and if it is defective, generates a learned model for judging that the cause of the defect is the second winding core;and a notification determination unit, which determines that the defect is caused by the second winding core using the learned model and outputs information including the determination result to a display device for maintenance. The model generation unit updates the learned model using the third and fourth sets of data read before the second winding core is maintained, if it is determined that the first difference between the first probability of improvement of the defect of the second winding body obtained by inputting the third and fourth sets of data before the second winding core is maintained into the learned model and the second probability of improvement of the defect of the second winding body obtained by inputting the third and fourth sets of data after the second winding core is maintained, instead of using the third and fourth sets of data read before the second winding core is maintained, if it is determined that the first difference is less than a given value. The model generation unit updates the learned model using the third and fourth sets of data read before the second winding core is maintained, if it is determined that the first difference is greater than the given value.

[0016] The device disclosed in the present invention is a device for outputting information for displaying information related to the maintenance of a winding device, wherein the winding device comprises: a first supply mechanism for supplying a first electrode sheet; a second supply mechanism for supplying a second electrode sheet; a first bonding roller arranged on the side of the first electrode sheet; a second bonding roller arranged on the side of the second electrode sheet and bonding the first electrode sheet and the second electrode sheet in pair with the first bonding roller; a first winding core; a second winding core; a driving mechanism for moving the first winding core to a given winding position, winding the first electrode sheet and the second electrode sheet overlappingly around the first winding core, and moving the second winding core to the given winding position, winding the first electrode sheet and the second electrode sheet overlappingly around the second winding core. 2 winding cores; and a sensor for reading the first end face of the first electrode sheet and the second end face of the second electrode sheet along the radial direction of the first winding body on which the first electrode sheet and the second electrode sheet are wound in a plurality of overlapping turns on the first winding core, and reading the third end face of the first electrode sheet and the fourth end face of the second electrode sheet along the radial direction of the second winding body on which the first electrode sheet and the second electrode sheet are wound in a plurality of overlapping turns on the second winding core, the device for outputting information comprises: an acquisition unit for acquiring from the sensor a first set of data indicating the position of the first end face read along the radial direction of the first winding body, a second set of data indicating the position of the second end face read along the radial direction of the first winding body data, a third set of data indicating the position of the third end face read along the radial direction of the second winding body, and a fourth set of data indicating the position of the fourth end face read along the radial direction of the second winding body; a model generating unit, based on whether the continuity of the position of the first end face indicated by the first set of data and the second set of data and the continuity of the position of the second end face are parallel to the baseline, and whether the continuity of the position of the third end face indicated by the third set of data and the fourth set of data and the continuity of the position of the fourth end face are inclined from the baseline, determines whether the second winding body is defective, and if it is defective, generates a learning function for judging that the cause of the defect is the second winding core. A completion model; and a notification judgment unit, which uses the learned completion model to determine that the cause of the defect is the second core, and outputs information containing the determination result to a display device for maintenance. The model generation unit does not use the third set of data and the fourth set of data read before the second core is maintained when the second probability of the defect of the second winding body being improved obtained by inputting the third set of data and the fourth set of data after the second core is maintained into the learned completion model is greater than a given value, but uses the third set of data and the fourth set of data before the second core is maintained when the second probability is judged to be less than the given value to update the learned completion model.

[0017] The program disclosed herein is a computer-executed program that displays information related to maintenance of a winding device, wherein the winding device comprises: a first feeding mechanism that feeds a first electrode sheet; a second feeding mechanism that feeds a second electrode sheet; a first bonding roller that is arranged on the side of the first electrode sheet; a second bonding roller that is arranged on the side of the second electrode sheet and pairs up with the first bonding roller to bond the first electrode sheet and the second electrode sheet; a first winding core; a second winding core; and a driving mechanism that moves the first winding core to a given winding position to bond the first electrode sheet and the second electrode sheet. The second electrode sheet is wound overlappingly on the first winding core, the second winding core is moved to the given winding position, and the first electrode sheet and the second electrode sheet are wound overlappingly on the second winding core; and the sensor reads the first end face of the first electrode sheet and the second end face of the second electrode sheet along the radial direction of the first winding body on which the first electrode sheet and the second electrode sheet are wound overlappingly on the first winding core in multiple turns, and reads the first end face of the first electrode sheet and the second end face of the second electrode sheet along the radial direction of the second winding body on which the first electrode sheet and the second electrode sheet are wound overlappingly on the second winding core in multiple turns. To read the third end face of the first electrode sheet and the fourth end face of the second electrode sheet, the program causes the computer to execute the following process: obtaining from the sensor a first set of data indicating the position of the first end face read along the radial direction of the first winding body, a second set of data indicating the position of the second end face read along the radial direction of the first winding body, a third set of data indicating the position of the third end face read along the radial direction of the second winding body, and a fourth set of data indicating the position of the fourth end face read along the radial direction of the second winding body; and when it is judged that the continuity of the position of the first end face represented by the first set of data and the second set of data and the continuity of the position of the second end face appear to be parallel to a baseline, and the continuity of the position of the third end face represented by the third set of data and the fourth set of data and the continuity of the position of the fourth end face appear to be inclined from the baseline, the second winding body is defective, and information indicating that the cause of the defect is the second winding core is output to a display device for maintenance.

[0018] The program disclosed in the present invention is a computer-executed program that generates a learning-completed model for maintenance of a winding device, wherein the winding device comprises: a first supply mechanism for supplying a first electrode sheet; a second supply mechanism for supplying a second electrode sheet; a first bonding roller, arranged on the side of the first electrode sheet; a second bonding roller, arranged on the side of the second electrode sheet, and forming a pair with the first bonding roller to bond the first electrode sheet and the second electrode sheet; a first winding core; a second winding core; a driving mechanism for moving the first winding core to a given winding position, winding the first electrode sheet and the second electrode sheet overlappingly on the first winding core, and moving the second winding core to the given winding position to bond the first electrode sheet and the second electrode sheet is wound on the second winding core in an overlapping manner; and a sensor reads the first end face of the first electrode sheet and the second end face of the second electrode sheet along the radial direction of the first winding body on which the first electrode sheet and the second electrode sheet are wound in an overlapping manner for multiple turns on the first winding core, and reads the third end face of the first electrode sheet and the fourth end face of the second electrode sheet along the radial direction of the second winding body on which the first electrode sheet and the second electrode sheet are wound in an overlapping manner for multiple turns on the second winding core, the program causes the computer to execute the following process: obtaining from the sensor a first set of data indicating the position of the first end face read along the radial direction of the first winding body, a second set of data indicating the position of the second end face read along the radial direction of the first winding body, a third set of data indicating the position of the third end face read along the radial direction of the second winding body, and a fourth set of data indicating the position of the fourth end face read along the radial direction of the second winding body; when it is judged that the continuity of the position of the first end face indicated by the first set of data and the second set of data and the continuity of the position of the second end face are parallel to the baseline, and the continuity of the position of the third end face indicated by the third set of data and the fourth set of data and the continuity of the position of the fourth end face are inclined from the baseline, The second winding body is defective, and information indicating that the cause of the defect is the second core is output to the display device for maintenance; and when it is judged that the first difference between the first defective rate of the winding body before the second core is maintained and the second defective rate of the winding body after the second core is maintained is less than a given value, the third set of data and the fourth set of data read before the second core is maintained are not used to generate the learned model. On the other hand, when it is judged that the first difference is greater than the given value, the third set of data and the fourth set of data read before the second core is maintained are used to generate the learned model.

[0019] The program disclosed in the present invention is a computer-executed program that generates a learning-completed model for maintenance of a winding device, wherein the winding device comprises: a first supply mechanism for supplying a first electrode sheet; a second supply mechanism for supplying a second electrode sheet; a first bonding roller, arranged on the side of the first electrode sheet; a second bonding roller, arranged on the side of the second electrode sheet, and forming a pair with the first bonding roller to bond the first electrode sheet and the second electrode sheet; a first winding core; a second winding core; a driving mechanism for moving the first winding core to a given winding position, winding the first electrode sheet and the second electrode sheet overlappingly on the first winding core, and moving the second winding core to the given winding position to bond the first electrode sheet and the second electrode sheet is wound on the second winding core in an overlapping manner; and a sensor reads the first end face of the first electrode sheet and the second end face of the second electrode sheet along the radial direction of the first winding body on which the first electrode sheet and the second electrode sheet are wound in an overlapping manner on the first winding core, and reads the third end face of the first electrode sheet and the fourth end face of the second electrode sheet along the radial direction of the second winding body on which the first electrode sheet and the second electrode sheet are wound in an overlapping manner on the second winding core, the program causes the computer to execute the following process: obtaining from the sensor a first group of data indicating the position of the first end face read along the radial direction of the first winding body, a table The second set of data indicates the position of the second end face read along the radial direction of the first winding body, the third set of data indicates the position of the third end face read along the radial direction of the second winding body, and the fourth set of data indicates the position of the fourth end face read along the radial direction of the second winding body; when it is judged that the continuity of the position of the first end face represented by the first set of data and the second set of data and the continuity of the position of the second end face are parallel to the baseline, and the continuity of the position of the third end face represented by the third set of data and the fourth set of data and the continuity of the position of the fourth end face are inclined from the baseline, the first set of data indicates the position of the third end face represented by the third set of data and the fourth set of data 2 winding bodies are defective, and information indicating that the cause of the defect is the second core is output to a display device for maintenance; and in a case where it is judged based on the third set of data before and after the second core is maintained and the fourth set of data that the second defect rate of the winding body after the second core is maintained is greater than a given value, the third set of data and the fourth set of data read before the second core is maintained are not used to generate the learned model. On the other hand, in a case where it is judged that the second defect rate is less than the given value, the third set of data and the fourth set of data read before the second core is maintained are used to generate the learned model.

[0020] The program disclosed herein is a computer-executed program that generates a learned maintenance model for a winding device, wherein the winding device comprises: a first feeding mechanism for feeding a first electrode sheet; a second feeding mechanism for feeding a second electrode sheet; a first bonding roller disposed on the side of the first electrode sheet; a second bonding roller disposed on the side of the second electrode sheet and bonding the first electrode sheet and the second electrode sheet in pair with the first bonding roller; a first winding core; a second winding core; and a driving mechanism for moving the first winding core to a given winding position to wind the first electrode sheet and the second electrode sheet overlapping each other. The first electrode sheet and the second electrode sheet are wound around the first winding core, the second winding core is moved to the given winding position, and the first electrode sheet and the second electrode sheet are wound around the second winding core in an overlapping manner; and the sensor reads the first end face of the first electrode sheet and the second end face of the second electrode sheet along the radial direction of the first winding body on which the first electrode sheet and the second electrode sheet are wound in a plurality of overlapping turns on the first winding core, and reads the third end face of the first electrode sheet along the radial direction of the second winding body on which the first electrode sheet and the second electrode sheet are wound in a plurality of overlapping turns on the second winding core. and the 4th end face of the 2nd electrode sheet, the program causes the computer to execute the following process: obtaining from the sensor a first set of data indicating the position of the 1st end face read along the radial direction of the 1st winding body, a second set of data indicating the position of the 2nd end face read along the radial direction of the 1st winding body, a third set of data indicating the position of the 3rd end face read along the radial direction of the 2nd winding body, and a fourth set of data indicating the position of the 4th end face read along the radial direction of the 2nd winding body; in the first set of data and the second set of data When the continuous positions of the first end face and the continuous positions of the second end face represented by the two sets of data are parallel to a reference line, and the continuous positions of the third end face and the continuous positions of the fourth end face represented by the third set of data and the fourth set of data are inclined from the reference line, a learned model is generated for judging that the cause of the defect of the second wound body is the second winding core; based on the judgment using the learned model, information indicating that the cause of the defect is the second winding core is output to a display device for maintenance;If it is determined that a first difference between a first probability of improvement of the defect of the second winding body obtained by inputting the third and fourth sets of data before the second winding core is maintained into the learned model and a second probability of improvement of the defect of the second winding body obtained by inputting the third and fourth sets of data after the second winding core is maintained into the learned model is less than a given value, the third and fourth sets of data read before the second winding core is maintained are not used to update the learned model. On the other hand, if it is determined that the first difference is greater than the given value, the third and fourth sets of data read before the second winding core is maintained are used to update the learned model.

[0021] The program disclosed herein is a computer-executed program that generates a learned maintenance model for a winding device, wherein the winding device comprises: a first feeding mechanism that feeds a first electrode sheet; a second feeding mechanism that feeds a second electrode sheet; a first bonding roller that is arranged on the side of the first electrode sheet; a second bonding roller that is arranged on the side of the second electrode sheet and pairs with the first bonding roller to bond the first electrode sheet and the second electrode sheet; a first winding core; a second winding core; and a driving mechanism that moves the first winding core to a given winding position, winds the first electrode sheet and the second electrode sheet overlappingly around the first winding core, and moves the second winding core to the given winding position, winds the first electrode sheet and the second electrode sheet overlappingly around the first winding core. The computer program program includes: a first data set indicating the position of the first electrode sheet and the second electrode sheet along the radial direction of the first winding body on which the first electrode sheet and the second electrode sheet are wound in a plurality of overlapping turns on the first winding body; and a sensor for reading the first end face of the first electrode sheet and the second end face of the second electrode sheet along the radial direction of the second winding body on which the first electrode sheet and the second electrode sheet are wound in a plurality of overlapping turns on the second winding body. The computer program program includes: a first data set indicating the position of the first end face read along the radial direction of the first winding body, a second data set indicating the position of the second end face read along the radial direction of the first winding body, and a sensor for reading the first end face of the first electrode sheet and the second end face of the second electrode sheet along the radial direction of the second winding body. a second set of data indicating the position of the end face, a third set of data indicating the position of the third end face read along the radial direction of the second winding body, and a fourth set of data indicating the position of the fourth end face read along the radial direction of the second winding body; when the continuity of the position of the first end face indicated by the first set of data and the second set of data and the continuity of the position of the second end face appear to be parallel to a baseline, and the continuity of the position of the third end face indicated by the third set of data and the fourth set of data and the continuity of the position of the fourth end face appear to be inclined from the baseline, a learning model is generated to determine that the cause of the defect of the second winding body is the second winding core; Based on the judgment using the learned model, information indicating that the cause of the defect is the second core is output to the display device for maintenance; and in the case where it is judged that the second probability of the defect of the second winding body being improved by inputting the third set of data and the fourth set of data after the second core is maintained into the learned model is greater than a given value, the third set of data and the fourth set of data read before the second core is maintained are not used to update the learned model. On the other hand, in the case where it is judged that the second probability is less than the given value, the third set of data and the fourth set of data before the second core is maintained are used to update the learned model. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 It is a network diagram including a maintenance display device and a winding device using the maintenance display device.

[0023] Figure 2 This is a flowchart for explaining the overall processing steps of the maintenance display device.

[0024] Figure 3A The diagram exemplifies the structure of a winding portion for producing a wound body in a winding device.

[0025] Figure 3B It is a perspective view illustrating a wound body produced in a winding unit.

[0026] Figure 4A This is a schematic diagram illustrating a state in which an inspection machine inspects a wound body.

[0027] Figure 4B It is a schematic diagram illustrating the cross-sectional shape along the radial direction of the wound body.

[0028] Figure 4C This is an example of an inspection machine scanning Figure 4B Figure 1 is an image generated by taking a cross section of the wound body shown.

[0029] Figure 5 This is a schematic diagram showing an example of the cross-sectional shape and shape data of a wound body when a defect occurs in a wound body wound around a different winding core.

[0030] Figure 6 This is a block diagram illustrating the functional configuration of the maintenance display device according to the first embodiment.

[0031] Figure 7A This figure illustrates actual production performance data.

[0032] Figure 7B This figure illustrates actual production results data.

[0033] Figure 8 This is a diagram illustrating maintenance performance data.

[0034] Figure 9 This is a sequence diagram schematically illustrating the overall flow of processing in the maintenance display device.

[0035] Figure 10 This is a sequence diagram schematically illustrating the overall flow of processing in the maintenance display device.

[0036] Figure 11 This is a flowchart for explaining the processing executed by the maintenance effect determination unit in the learning process.

[0037] Figure 12A This is a conceptual diagram for explaining how the effectiveness of maintenance work in the learning process is determined.

[0038] Figure 12B This is a conceptual diagram for explaining how the effectiveness of maintenance work in the learning process is determined.

[0039] Figure 13 This is a flowchart for explaining the processing executed by the device state diagnosis model generation unit in the learning process.

[0040] Figure 14 This is a flowchart for explaining the processing executed by the device status diagnosis unit in the recognition processing.

[0041] Figure 15 This is a flowchart for explaining the processing executed by the notification determination unit in the recognition processing.

[0042] Figure 16A It is a diagram showing a specific example of maintenance group information.

[0043] Figure 16B It is a diagram showing a specific example of the maintenance plan list.

[0044] Figure 17 This is a flowchart for explaining the processing executed by the maintenance effectiveness determination unit in the updating process.

[0045] Figure 18A This is a conceptual diagram for explaining how the effectiveness of maintenance work during the update process is determined.

[0046] Figure 18B This is a conceptual diagram for explaining how the effectiveness of maintenance work during the update process is determined.

[0047] Figure 19 This is a flowchart for explaining the processing executed by the device state diagnosis model generation unit in the update process.

[0048] Figure 20 This is a diagram illustrating the configuration of a maintenance display device according to the second embodiment.

[0049] Figure 21 This is a flowchart for explaining the processing executed by the maintenance effect determination unit in the second embodiment.

[0050] Figure 22 This is a diagram illustrating the configuration of a maintenance display device according to a third embodiment.

[0051] Figure 23 This is a flowchart for explaining the processing executed by the device state diagnosis model generation unit in the third embodiment.

[0052] Figure 24 This is a flowchart for explaining the processing executed by the notification determination unit in the third embodiment.

[0053] Figure 25A This is a diagram for explaining a modified example of a method for determining whether or not a maintenance work is effective, which is performed by a maintenance effectiveness determination unit in a learning process.

[0054] Figure 25B This is a diagram for explaining a modified example of a method for determining whether or not a maintenance work is effective, which is performed by a maintenance effectiveness determination unit in a learning process.

[0055] Figure 26A This is a diagram for explaining a modified example of a method for determining whether or not a maintenance work is effective, which is performed by a maintenance effectiveness determination unit in an update process.

[0056] Figure 26B This is a diagram for explaining a modified example of a method for determining whether or not a maintenance work is effective, which is performed by a maintenance effectiveness determination unit in an update process.

[0057] Explanation of symbols

[0058] 10, 10A, 10B servers;

[0059] 50 1st supply reel;

[0060] 51 2nd supply reel;

[0061] 100, 100A, 100B maintenance display device;

[0062] 110, 110B storage unit;

[0063] 111 Production results database;

[0064] 112 Equipment status diagnosis model database;

[0065] 113 Maintaining the actual results database;

[0066] 114 No effect equipment status diagnosis model database;

[0067] 120, 120A, 120B control unit;

[0068] 121 Equipment Status Diagnosis Department;

[0069] 122, 122B Notification Determination Department;

[0070] 123, 123A, 123B maintenance effect determination unit;

[0071] 124, 124B equipment status diagnosis model generation unit;

[0072] 130 Notification Department;

[0073] 131 Alarm Department;

[0074] 132 Display Department;

[0075] 200 coiling device;

[0076] 201 winding part;

[0077] 202 Sheet 1;

[0078] 203 Sheet 2;

[0079] 204, 204α, 204β, 204γ coils;

[0080] 205A: 1st laminating roller;

[0081] 205B: second laminating roller;

[0082] 206, 206α, 206β, 206γ core;

[0083] 206M core rotation drive unit;

[0084] 207 Inspection Machine;

[0085] 208 turntable;

[0086] 209 cut-off section;

[0087] 210 pressing part;

[0088] 211 joint welding part;

[0089] 212 with adhesive part;

[0090] 213 Roller. DETAILED DESCRIPTION

[0091] In the technology disclosed in Patent Document 1, notification is made to equipment personnel after an equipment anomaly occurs. Therefore, maintenance by equipment personnel is performed after the anomaly occurs. Performing maintenance after an anomaly occurs requires stopping the equipment, so notification is preferably made before an anomaly occurs, at the point in time when maintenance is determined to be necessary. Therefore, it is necessary to detect signs of equipment anomalies.

[0092] The present disclosure aims to provide a method for displaying a sign of abnormality when it is detected, and a method, device, and program for generating a learned model for detecting a sign of abnormality.

[0093] Hereinafter, each embodiment of the present disclosure will be described in detail with reference to the accompanying drawings. However, more detailed description than necessary may be omitted, for example, detailed description of well-known matters, repeated description of substantially the same structure, etc.

[0094] In addition, the following description and the referenced drawings are provided to help those skilled in the art understand the present disclosure, and are not intended to limit the technical solutions of the present disclosure.

[0095] (First embodiment)

[0096] <Maintenance Display Device 100 and Winding Device 200>

[0097] Figure 1 This is a network diagram including the maintenance display device 100 according to the first embodiment of the present invention and the winding device 200 to which the maintenance display device 100 is applied. The maintenance display device 100 described in this embodiment is a device for performing maintenance display of the winding device 200 for producing lithium-ion secondary batteries. Figure 1 In the illustrated example, the maintenance display device 100 is applied to a single winding device 200. However, the present invention is not limited to this, and a single maintenance display device may be applied to multiple winding devices. Furthermore, in this embodiment, the maintenance display device 100 is described as a device, but the present invention is not limited to this. A maintenance display system in which various components are connected via a network may also be employed.

[0098] The maintenance display device 100 includes a server 10 having a storage unit 110 and a control unit 120, and a notification unit 130. The server 10 is communicatively connected to the winding device 200 via a network NT. The network NT is, for example, a public network such as the Internet or a local area network such as a company's in-house LAN (Local Area Network).

[0099] The server 10 is, for example, a general-purpose computer, such as Figure 1 As shown, it includes a storage unit 110 and a control unit 120 .

[0100] The storage unit 110 includes, for example, a main storage device (not shown) such as a ROM (Read Only Memory) or a RAM (Random Access Memory), and / or an auxiliary storage device (not shown) such as an HDD (Hard Disk Drive), an SSD (Solid State Drive), or a flash memory.

[0101] The control unit 120 is a hardware processor (not shown) such as a CPU (Central Processing Unit), and controls the entire maintenance display device 100 by developing and executing a program stored in the storage unit 110 .

[0102] The storage unit 110 and the control unit 120 may not be formed as an integrated computer. That is, the storage unit 110 and the control unit 120 may be configured to communicate with each other, or they may be configured to be separated from each other and configured in separate locations. In addition, the maintenance display device 100 may also have Figure 1 The operation unit (not shown) receives operation input from the outside. Details of the storage unit 110 and the control unit 120 will be described later.

[0103] exist Figure 1 In the example shown, the notification unit 130 is included in the winding device 200 and is connected to the server 10 via the network NT. The notification unit 130 notifies the user of the maintenance display device 100 based on the control of the control unit 120. In this embodiment, the user of the maintenance display device 100 includes the administrator of the maintenance display device 100 or the user who uses the winding device 200 to wind the body (see the following description). Figure 3B ) production workers, etc.

[0104] like Figure 1 As shown, notification unit 130 includes an alarm unit 131 and a display unit 132. Alarm unit 131 is, for example, a buzzer or light that alerts the user through sound or light. Display unit 132 is, for example, a liquid crystal display or organic EL display that displays the contents of the warning. Furthermore, notification unit 130 may include, in addition to alarm unit 131 and display unit 132, a sending unit that sends an email containing the contents of the warning to, for example, pre-registered user email addresses.

[0105] In this embodiment, the winding device 200 is a device for winding the positive electrode sheet and the negative electrode sheet to produce a lithium ion secondary battery. Figure 1 As shown, the winding device 200 includes a winding unit 201 and an inspection machine 207. The winding unit 201, which will be described in detail later, winds up positive and negative electrode sheets to produce a wound body. The inspection machine 207 inspects the wound body produced by the winding unit 201.

[0106] In addition, Figure 1 In the example shown, the notification unit 130 is included in the winding device 200, but the present invention is not limited thereto, and the notification unit 130 may also be provided outside the winding device 200. Figure 1In the illustrated example, the notification unit 130 is connected to the server 10 via the network NT, but the present invention is not limited thereto, and the server 10 and the notification unit 130 may be directly connected without interposing the network NT.

[0107] Furthermore, in this embodiment, the winding device 200 is described as a winding device for winding positive and negative electrode sheets of lithium-ion secondary batteries, but the present invention is not limited to this. The maintenance display device of the present invention can also be applied to production equipment other than winding devices for lithium-ion secondary batteries. Furthermore, the maintenance display device of the present invention can also be applied to various other equipment besides production equipment.

[0108] Figure 2 This is a flowchart for explaining the overall processing procedure of the maintenance display device 100 .

[0109] In step S1 , the control unit 120 causes the winding unit 201 of the winding device 200 to produce a wound body.

[0110] In step S2, the control unit 120 causes the inspection machine 207 to inspect the produced wound body. Details of the inspection of the wound body by the inspection machine 207 will be described later.

[0111] In step S3, the control unit 120 causes the storage unit 110 to store the inspection results of the inspection machine 207. Simultaneously, in step S4, the control unit 120 determines whether the wound body is defective based on the inspection results of the inspection machine 207. If the wound body is determined to be non-defective (step S4: No), the control unit 120 proceeds with the process to step S5. If the wound body is determined to be defective (step S4: Yes), the process proceeds to step S6.

[0112] If it is determined that the product is not defective, in step S5 , the control unit 120 causes the winding device 200 to supply the wound body to the next step.

[0113] If the product is determined to be defective, in step S6, the control unit 120 notifies the notification unit 130 of the detection of the defective product. Details of the notification performed by the notification unit 130 will be described later.

[0114] In step S7 , the control unit 120 causes the winding device 200 to discard the wound body determined to be a defective product.

[0115] In addition, Figure 2In steps S5 and S7 of the flowchart shown, the control unit 120 causes the winding device 200 to supply the wound body to the next process or to discard the wound body, but the present invention is not limited to this. For example, the user of the maintenance display device 100 may be notified via the notification unit 130 that the wound body is to be supplied to the next process or discarded, thereby prompting the user to supply or discard the wound body.

[0116] Next, the winding unit 201 and the inspection machine 207 of the winding device 200 will be described in detail.

[0117] <Winding Section 201>

[0118] Figure 3A 2 is a diagram illustrating the structure of the winding unit 201 .

[0119] like Figure 3A As shown, the winding unit 201 includes a first supply reel 50, a second supply reel 51, a first laminating roller 205A, a second laminating roller 205B, a core 206, a core rotation drive unit 206M, a turntable (index table) 208, a cutting unit 209, a pressing unit 210, a joint welding unit 211, a tape applying unit 212, and a cylinder 213. The winding unit 201 is an apparatus that produces a roll 204 by laminating the first sheet 202 supplied from the first supply reel 50 and the second sheet 203 supplied from the second supply reel 51 using the first laminating roller 205A and the second laminating roller 205B. The laminating rollers are then wound onto the core 206. The core rotation drive unit 206M drives the core 206 at a desired rotation speed.

[0120] The first sheet 202 is, for example, a sheet-shaped member coated with a positive electrode material (a positive electrode sheet), and the second sheet 203 is, for example, a sheet-shaped member coated with a negative electrode material (a negative electrode sheet). The first sheet 202 is an example of a first electrode sheet of the present invention, and the second sheet 203 is an example of a second electrode sheet of the present invention. Furthermore, in the above example, the first sheet 202 is a positive electrode sheet and the second sheet 203 is a negative electrode sheet. However, the present invention is not limited to this. Alternatively, the first sheet 202 may be a negative electrode sheet and the second sheet 203 may be a positive electrode sheet.

[0121] exist Figure 3A In the example shown, turntable 208 holds three winding cores 206α, 206β, and 206γ. Any one of these three winding cores 206α, 206β, and 206γ is an example of the second winding core of the present invention, while the others are examples of the first winding core of the present invention. In the following description, the three winding cores 206α, 206β, and 206γ may be collectively referred to as the winding core 206.

[0122] The turntable 208 rotates gradually at a given angle, while rotating the winding cores 206 along the circular track. As a result, one of the three winding cores 206 is placed in the winding position. The so-called winding position is a position where the winding core 206 can be rotated by the winding core rotation drive unit 206M. Figure 3A In the example shown, core 206α is positioned at the winding position. When winding of one core 206 is completed, the turntable 208 switches to the next core 206. In the following description, the roll wound on core 206α is referred to as roll 204α, the roll wound on core 206β as roll 204β, and the roll wound on core 206γ as roll 204γ.

[0123] In addition, Figure 3A In the illustrated example, the turntable 208 sequentially switches three winding cores, but the present invention is not limited thereto. The number of winding cores 206 held by the turntable 208 may be any number as long as it is two or more.

[0124] The cutting unit 209 cuts the first sheet 202 and the second sheet 203 when winding is completed on one winding core 206. At this time, the pressing unit 210 presses the winding body 204 wound on the winding core 206 and suppresses the vibration of the end portions of the cut first sheet 202 and the second sheet 203. Figure 3A In the example shown, the cutting portion 209 is arranged at a position where the first sheet 202 and the second sheet 203 are cut before being bonded together. However, the cutting portion 209 may be arranged at a position where the first sheet 202 and the second sheet 203 are cut after being bonded together.

[0125] The tab welding section 211 welds the current collecting tab to the first sheet 202. The tape applying section 212 secures the wound body 204 with a tape to prevent it from vibrating when the winding is completed on the winding core 206 and cut by the cutting section 209. The roller 213 adjusts the tension applied to the first and second sheets 202, 203 via the second laminating roller 205B.

[0126] Figure 3B 2 is a perspective view illustrating a wound body 204 produced in the winding unit 201. Figure 3B , a state is shown in which the terminal ends (ends cut by the cutting portion 209 ) of the first sheet 202 and the second sheet 203 constituting the wound body 204 are not wound.

[0127] like Figure 3B As shown, the second sheet 203 is formed to have a larger width (length along the axial direction of the wound body 204 ) than the first sheet 202 .

[0128] <Inspection Machine 207>

[0129] The inspection machine 207 inspects the produced wound body 204. The inspection machine 207 is, for example, a SS-OCT (Swept Source-Optical Coherence Tomography) device and is an example of a sensor of the present invention.

[0130] Figure 4A 2 is a schematic diagram illustrating the inspection machine 207 inspecting the winding body 204. Figure 4A As shown, the inspection machine 207 scans the wound body 204 to be inspected while irradiating the light L from the radial inside to the outside of the wound body 204 , and generates an image representing the shape of the internal structure of the wound body 204 using the coherence of the light L.

[0131] Figure 4B Schematic diagram illustrating the cross-sectional shape along the radial direction of the wound body 204. Figure 4C This is an example of the inspection machine 207 Figure 4B FIG. 1 is a diagram showing an image I generated by scanning a cross section of the wound body 204 shown in FIG. Figure 4B as well as Figure 4C , the up-down direction corresponds to the axial direction of the wound body 204 , and the left-right direction corresponds to the radial direction of the wound body 204 , respectively.

[0132] like Figure 4B As shown, in the cross section along the radial direction of the roll 204, the first sheet 202 and the second sheet 203 having a width greater than the first sheet 202 are alternately stacked. The inspection machine 207 extracts the positions of the two ends along the axial direction of the first sheet 202 and the two ends along the axial direction of the second sheet 203 in the radial direction of the roll 204 and images them. Figure 4C In the example shown (image I), the diamond α corresponds to the first sheet end position data group (an example of the first data group or the third data group of the present invention) representing the positions of the two end portions of the first sheet 202, and the black circle β corresponds to the second sheet end position data group (an example of the second data group or the fourth data group) representing the positions of the two end portions of the second sheet 203.

[0133] When the winding body 204 in the winding section 201 is produced, defective products may sometimes be produced. For example, defective products may be produced due to the defective conditions of the various structures of the winding section 201 mentioned above. The inspection machine 207 generates an image representing the cross-sectional shape along the radial direction of the winding body 204 as described above, and stores it as shape data in the storage unit 110. In addition, the inspection results determined based on the shape data are also stored in the storage unit 110. In addition, the determination of the inspection results based on the shape data can be performed by the inspection machine 207 or by the inspection unit 207. Figure 1 The control unit 120 shown in FIG. Figure 1 or Figure 3A Other structures not shown in the figure are carried out.

[0134] Figure 5 Schematic diagram showing an example of the cross-sectional shape and shape data of the wound body 204 when a defect occurs in the wound body 204 wound on a different winding core 206. Figure 5 The upper part of , exemplifies Figure 3A The cross-sectional shapes of the wound bodies 204α, 204β, and 204γ respectively wound around the winding cores 206α, 206β, and 206γ are shown. Figure 5 In the example shown, the heights of both ends of the first sheet 202 and the second sheet 203 are the same in the wound bodies 204α and 204β, but the heights of both ends of the first sheet 202 and the second sheet 203 are inclined in the wound body 204γ.

[0135] exist Figure 5 The lower part of the example shows the Figure 5 The images Iα, Iβ, and Iγ are generated by the cross-sectional shapes of the wound bodies 204α, 204β, and 204γ shown in the upper part of the figure. Figure 5 The reference line shown is a line indicating the reference position of the two ends of the first sheet 202 and the second sheet 203. Figure 5 As shown, in images Iα and Iβ, the positions of the two end portions of the first sheet 202 and the second sheet 203 are continuous and consistent with the baseline (parallel to the baseline), but in image Iγ, the positions of the two end portions of the first sheet 202 and the second sheet 203 become inclined from the baseline.

[0136] like Figure 5 The winding bodies having the cross-sectional shape of the positions of both ends of the first sheet 202 and the second sheet 203 parallel to the reference line are judged as "good" by the inspection machine 207. Figure 5A wound body having a cross-sectional shape in which the positions of both ends of the first sheet 202 and the second sheet 203 are continuously inclined with respect to the reference line, such as the wound body 204γ shown, is judged as “defective” by the inspection machine 207 .

[0137] Thus, the defect of the positions of both ends of the first sheet 202 and the second sheet 203 being continuously tilted from the reference line is likely to occur mainly when a defect occurs in the winding core 206. A defect in the winding core 206 may be, for example, a state where one side of the winding core 206 has been chipped due to wear or the like. It is believed that if a defect occurs in any of the multiple winding cores 206, only the wound body 204 wound on the defective winding core 206 is judged to be defective.

[0138] Furthermore, the defect of the positions of both ends of the first sheet 202 and the second sheet 203 being continuously tilted from the reference line may also occur when a defect occurs in at least one of the first laminating roller 205A and the second laminating roller 205B. The defect in at least one of the first laminating roller 205A and the second laminating roller 205B is, for example, a state where the mounting shaft of at least one of the first laminating roller 205A and the second laminating roller 205B is tilted.

[0139] The cause of the defect in the wound body 204 is most likely the winding core 206 around which the wound body 204 is wound, or the first bonding roller 205A or the second bonding roller 205B, and this can be determined by the maintenance display device 100 described later.

[0140] In addition, Figure 5 In the example shown, whether the wound body 204 is "good" or "bad" is determined by whether the positions of the ends of the first sheet 202 and the second sheet 203 are parallel to a reference line. In the present invention, in more detail, even if the positions of the ends of the first sheet 202 and the second sheet 203 are tilted from the reference line, the degree of failure can be graded based on the degree of this tilt. Specifically, for example, if the tilt angle of the ends of the first sheet 202 and the second sheet 203 is below a predetermined value, the wound body 204 is judged to be "passing," while if the tilt angle exceeds the predetermined value, the wound body 204 is judged to be "bad."

[0141] <Maintenance Display Device 100>

[0142] The functional structure and operation of the maintenance display device 100, which displays information related to maintenance work to be performed on the winding device 200, will be described in detail below. Furthermore, the so-called maintenance work in this embodiment means the work of appropriately adjusting various structures of the winding device 200, replacing parts, etc., so as to prevent defects from occurring in the wound body 204 produced by the winding device 200. In the present invention, the so-called maintenance work specifically refers to work for correcting defects in the winding core 206. Maintenance work is performed by the operator who actually operates the winding device 200.

[0143] <Storage Unit 110>

[0144] Figure 6 This is a block diagram illustrating the functional configuration of the maintenance display device 100 according to the first embodiment. As described above, the maintenance display device 100 includes a storage unit 110, a control unit 120, and a notification unit 130 (see FIG. 1 ). Figure 1 ).

[0145] like Figure 6 As shown, the storage unit 110 includes a production performance database 111 , a device status diagnosis model database 112 , and a maintenance performance database 113 .

[0146] The production result database 111 is a database in which production result data related to the production results of the winding device 200 are registered. The production result data includes the production date and time of the produced wound body 204 and the shape data of the wound body 204.

[0147] Figure 7A as well as Figure 7B This is a diagram illustrating the actual production performance data PD. Figure 7A In the example, part of the actual production performance data PD is shown in a table format. Figure 7A As shown, the production actual result data PD includes various data such as "production date and time", "equipment", "inspection result", "first sheet", "second sheet", and "shape data ID".

[0148] The "production date and time" data is data related to the production date and time when the wound body 204 is produced. The "equipment" data is data for identifying the equipment that has produced actual results when there are multiple winding devices 200. Figure 7A , as an example, identifiers “A”, “B”, and “C” of different winding devices 200 are shown.

[0149] The “inspection result” data indicates the inspection result of the wound body 204 produced in the winding device 200 (see Figure 5 ) data. Figure 7A In the example, “good” or “bad” is shown as the inspection result.

[0150] The "first sheet material" data and the "second sheet material" data are data related to the materials used to produce the wound body 204. Identifiers for identifying the respective materials are stored as the "first sheet material" data and the "second sheet material" data.

[0151] The “shape data ID” is the shape data indicating the cross-sectional shape of the wound body 204 (see Figure 5 Iα, Iβ, Iγ) have established corresponding identification numbers. Figure 7B , the correspondence between the shape data ID and the shape data is illustrated.

[0152] Each data except the shape data in the production actual result data PD is automatically or manually input by the operator each time the winding body 204 is produced in the winding device 200 and registered in the production actual result database 111. The shape data is input by the inspection machine 207 (see Figure 1 or Figure 4A ) is generated during inspection and registered in association with the shape data ID. That is, the production performance data PD essentially includes the shape data of the wound body 204. Thus, the production performance data PD of each wound body 204 produced is registered in the production performance database 111.

[0153] The equipment state diagnosis model database 112 is a database in which a plurality of equipment state diagnosis models M are registered. The so-called equipment state diagnosis model M is a learned model that serves as a diagnostic benchmark for diagnosing whether maintenance work is required on the winding device 200. The equipment state diagnosis model M is a learned model that has learned which maintenance work is effective for which type of defect when the winding device 200 that produces defective products is improved through maintenance work (the production ratio of defective products is reduced). More specifically, the equipment state diagnosis model M is a collection of data including the shape data of a winding body containing multiple defective products and the content of the maintenance work performed to improve the defects of the defective products. The equipment state diagnosis model M is generated by the equipment state diagnosis model generation unit 124 described later.

[0154] The equipment status diagnostic model M is generated each time a maintenance operation is performed that reduces the defective product ratio in subsequent wound body production. For example, the equipment status diagnostic model M for yesterday's maintenance operation and the equipment status diagnostic model M for today's maintenance operation are generated independently.

[0155] The form of the equipment state diagnosis model M is not particularly limited, but to further improve diagnostic accuracy, it is desirable to employ a machine learning model such as a neural network model. The model employed in the equipment state diagnosis model M can be selected by the user of the maintenance display device 100 via an operation unit (not shown), or by the equipment state diagnosis model generator 124.

[0156] The maintenance results database 113 is a database that registers maintenance results data MD related to actual maintenance work performed on the winding device 200. This maintenance results data MD includes, for example, device data identifying the winding device 200, data related to the date and time when the maintenance work was performed (maintenance date and time), and data indicating the content of the maintenance work performed. For example, in the case of a maintenance work that is completed in a short time, such as a few minutes, the maintenance date and time can be either the start time or the end time of the maintenance work. In contrast, in the case of a maintenance work that takes a longer time, such as several hours, the maintenance date and time is preferably set to the central time of the maintenance work. Figure 8 The diagram exemplifies the maintenance result data MD. The maintenance result data MD is obtained by, for example, a worker who actually performed the maintenance work on the winding device 200 immediately after the maintenance work is performed. Figure 1 The operation unit (not shown) and the like are input to the maintenance display device 100 .

[0157] <Control Unit 120>

[0158] like Figure 6 As shown, the control unit 120 includes a device state diagnosis unit 121 , a notification determination unit 122 , a maintenance effect determination unit 123 , and a device state diagnosis model generation unit 124 .

[0159] The equipment status diagnosis unit 121 diagnoses the status of the winding device 200 using the shape data of the newly produced winding body 204 in the winding device 200 and the equipment status diagnosis model M. The diagnosis result is calculated as a degree of consistency C that represents the degree of consistency between the shape data of the newly produced winding body 204 and the past shape data included in the equipment status diagnosis model M. Here, the equipment status diagnosis model M includes the content of the maintenance work and the shape data before the time point when the maintenance work was performed. This means that: in the past, when a defect occurred in the winding body 204 having the shape data included in the equipment status diagnosis model M, the defect of the winding body 204 was reduced by performing the maintenance work included in the equipment status diagnosis model M. That is, the degree of consistency C between the shape data of the newly produced winding body 204 and the shape data included in the equipment status diagnosis model M represents the probability that the defect of the winding body 204 will be improved by performing the maintenance included in the equipment status diagnosis model M.

[0160] Furthermore, regarding the method of calculating the degree of consistency C by comparing multiple (m) pieces of shape data of the newly produced wound body 204 with multiple (n) pieces of past shape data included in the equipment status diagnostic model M, suitable methods include pattern matching or deep learning using feature quantities of multiple shape data that have undergone dimensionality reduction. Alternatively, the degree of consistency can be calculated based on the distance between vectors obtained from each piece of shape data.

[0161] The notification determination unit 122 determines whether to issue a notification regarding maintenance work on the winding device 200 based on the degree of consistency C. If the degree of consistency C is greater than a given threshold, the notification determination unit 122 determines to issue a notification indicating that maintenance work should be performed. If the degree of consistency C is less than the given threshold, the notification determination unit 122 determines not to issue a notification. Notifications regarding maintenance work include alarms to draw the user's attention and displays informing the user of maintenance work whose effects can be expected by executing it.

[0162] The maintenance effect determination unit 123 determines whether or not the maintenance work on the winding device 200 has been effective. The maintenance effect determination unit 123 determines whether or not the maintenance work on the winding device 200 has been effective. The maintenance effect determination unit 123 determines whether or not the maintenance work has been effective based on, for example, the defective rate (the ratio of defective products to the total number of products produced) before and after the maintenance work or the shape data of the winding body 204 before and after the maintenance work (see Figure 5 ), to determine whether there is any effect of maintenance work.

[0163] The equipment state diagnosis model generator 124 generates an equipment state diagnosis model M based on the maintenance performance data MD determined to be effective and the shape data of defective products produced before the maintenance work was performed. The equipment state diagnosis model M generated by the equipment state diagnosis model generator 124 is registered in the equipment state diagnosis model database 112 described above.

[0164] <Overall Flow of Processing in Maintenance Display Device 100>

[0165] Below, refer to Figure 9 as well as Figure 10 To have Figure 6 The overall flow of processing in the maintenance display device 100 having the functional configuration shown will be described. Figure 9 as well as Figure 10 This is a sequence diagram schematically illustrating the overall flow of processing in the maintenance display device 100 .

[0166] exist Figure 9 , an overview of the learning process in the maintenance display device 100 and the recognition process using the learned model generated by the learning process is shown.

[0167] [Learning Process]

[0168] The learning process in the maintenance display device 100 generates a learned model (equipment status diagnosis model M) that learns what kind of shape data, when defective products are produced by the winding device 200, and what kind of maintenance work will improve the defective products. Therefore, the learning process presupposes that maintenance work has been performed before it begins.

[0169] In step S11, the maintenance effect determination unit 123 obtains the maintenance work performed before (before) the start of the learning process. Figure 8 The actual production performance data PD of a plurality of wound bodies 204 produced by the manufacturer (shown as a maintenance date earlier) (refer to Figure 7A ) contains shape data (see Figure 5 ), and based on this data, calculate the defect rate Nf before maintenance work before Defective rate Nf before For example, it is calculated by dividing the number of wound bodies 204 judged to be defective among the wound bodies 204 produced before the maintenance work by the total number of production before the maintenance work. before This is an example of the first defective rate of the present invention.

[0170] In step S12, the maintenance effect determination unit 123 obtains the maintenance result after the maintenance work ( Figure 8 The shape data included in the production actual result data PD of the plurality of wound bodies 204 produced after the maintenance date and time shown in FIG. 1 is used to calculate the defect rate Nf after the maintenance work based on the shape data. after Defective rate Nf after For example, it is calculated by dividing the number of wound bodies 204 judged to be defective among the wound bodies 204 produced after the maintenance work by the total number of production after the maintenance work. after This is an example of the second defective rate of the present invention.

[0171] In step S13, the maintenance effect determination unit 123 calculates the defect rate Nf before and after the maintenance work. before and f after The comparison is made to determine whether the maintenance work is effective. Details of the maintenance work effect determination process performed by the maintenance effect determination unit 123 in the learning process will be described later.

[0172] If it is determined in step S13 that the maintenance work is effective, the maintenance effect determination unit 123 in step S14 updates the maintenance result data MD (see FIG. 1 ) indicating the content of the maintenance work performed before the start of the learning process. Figure 8 ) is output to the equipment status diagnosis model generation unit 124.

[0173] In step S15 , the equipment state diagnosis model generation unit 124 generates an equipment state diagnosis model M using the maintenance achievement data MD determined to be effective. Details of the equipment state diagnosis model M will be described later.

[0174] In step S16, the device state diagnosis model generation unit 124 registers the generated device state diagnosis model M in the device state diagnosis model database 112 (see Figure 6 ).

[0175] The processing from step S11 to step S16 described above is a learning process of the maintenance display device 100 .

[0176] [Recognition Processing]

[0177] The identification process described below is a process for identifying whether an abnormality or a sign of an abnormality has occurred in the newly produced plurality of wound bodies 204 using the equipment state diagnosis model M generated by the learning process when the plurality of wound bodies 204 are newly produced.

[0178] In step S17 , the device state diagnosis unit 121 acquires shape data of a plurality of newly produced wound bodies (hereinafter referred to as new shape data).

[0179] In step S18, the equipment state diagnosis unit 121 calculates the degree of consistency C using the new shape data and the equipment state diagnosis model M. The degree of consistency C is a value indicating the degree of consistency between the new shape data and the past shape data included in the equipment state diagnosis model M. In other words, the greater the degree of consistency C, the higher the probability that an abnormality or a sign of an abnormality has occurred in the winding device 200, and that the newly produced wound body 204 will be a defective product.

[0180] In step S19, when the degree of consistency C is greater than or equal to a predetermined threshold, the notification determination unit 122 determines that a notification is necessary for the user of the maintenance display device 100. A case where the degree of consistency C is greater than or equal to the predetermined threshold indicates that an abnormality or a sign of an abnormality has occurred in the winding device 200, and maintenance work needs to be re-performed.

[0181] In step S110, the notification determination unit 122 outputs the content of the maintenance work to be notified to the user to the notification unit 130. The content of the maintenance work to be notified to the user is determined based on the device state diagnosis model M for which the degree of consistency C is greater than or equal to a predetermined threshold.

[0182] In steps S111 and S112, the notification unit 130 notifies the user that maintenance work should be performed. In step S111, the alarm unit 131 issues an alarm. In step S112, the display unit 132 displays the content of the maintenance work to be notified to the user. Figure 9In the embodiment, an example is shown in which both the alarm in step S111 and the display of the details of the maintenance work in step S112 are performed. However, for example, the alarm may not be issued and only the display of the details of the maintenance work may be performed.

[0183] In this way, by the notification in steps S111 and S112 , the operator who has received the notification performs the maintenance work on the winding device 200 based on the content of the notified maintenance work.

[0184] The processing from step S17 to step S112 described above is recognition processing by the maintenance display device 100 using the learned model generated by the learning process.

[0185] exist Figure 10 , an overview of the update process in the maintenance display device 100 and the recognition process using the learned model updated by the update process is shown.

[0186] [Update Process]

[0187] The update process in the maintenance display device 100 updates the learned model (device status diagnosis model M) based on the results of maintenance work performed after the learning process. In other words, the update process presupposes that maintenance work has been performed before the update process begins.

[0188] In step S21, the maintenance effect determination unit 123 uses the production performance data PD (see Figure 7A ) contains shape data (see Figure 5 ), and the device state diagnosis model M registered in the device state diagnosis model database 112, calculate the consistency C before the maintenance work before .

[0189] In step S22, the maintenance effect determination unit 123 calculates the consistency C after the maintenance work using the shape data included in the actual production results data of the plurality of wound bodies 204 produced after the maintenance work and the past shape data included in the equipment state diagnosis model M registered in the equipment state diagnosis model database 112. after .

[0190] In step S23, the maintenance effect determination unit 123 determines the consistency C before and after the maintenance work. before and C after The comparison is made to determine whether the maintenance work is effective. Details of the maintenance work effect determination process performed by the maintenance effect determination unit 123 in the update process will be described later.

[0191] If it is determined in step S23 that the maintenance work is effective, the maintenance effect determination unit 123 outputs maintenance achievement data MD indicating the content of the maintenance work performed before the start of the update process to the equipment state diagnosis model generation unit 124 in step S24 .

[0192] In step S25, the equipment state diagnosis model generation unit 124 uses the maintenance achievement data MD determined to be effective to update the equipment state diagnosis model M. Details of the update process of the equipment state diagnosis model M will be described later.

[0193] In step S26, the device state diagnosis model generation unit 124 updates the device state diagnosis model database 112 (see Figure 6 ).

[0194] The processes of step S21 to step S26 described above are update processes for the maintenance display device 100 .

[0195] [Recognition Processing]

[0196] The identification process described below is a process for identifying whether an abnormality or a sign of an abnormality has occurred in the newly produced plurality of wound bodies 204 using the device state diagnosis model M updated by the update process when the plurality of wound bodies 204 are newly produced in the winding device 200.

[0197] In step S27 , the device state diagnosis unit 121 acquires shape data of a plurality of newly produced wound bodies (hereinafter referred to as new shape data).

[0198] In step S28 , the device state diagnosis unit 121 calculates the degree of consistency C using the new shape data and the device state diagnosis model M. The degree of consistency C is a value indicating the degree of consistency between the new shape data and the past shape data included in the device state diagnosis model M.

[0199] In step S29, when the degree of consistency C is equal to or greater than a predetermined threshold, the notification determination unit 122 determines that it is necessary to notify the user of the maintenance display device 100. The fact that the degree of consistency C is equal to or greater than the predetermined threshold indicates that an abnormality or a sign of an abnormality has occurred in the winding device 200, and that renewed maintenance work is necessary.

[0200] In step S210, the notification determination unit 122 outputs the content of the maintenance work to be notified to the user to the notification unit 130. The content of the maintenance work to be notified to the user is determined based on the device state diagnosis model M for which the degree of consistency C is greater than or equal to a predetermined threshold.

[0201] In steps S211 and S212, the notification unit 130 notifies the user that maintenance work should be performed. In step S211, the alarm unit 131 issues an alarm. In step S212, the display unit 132 displays the content of the maintenance work to be notified to the user. Figure 10 In the embodiment, an example is shown in which both the alarm in step S211 and the display of the details of the maintenance work in step S212 are performed. However, for example, the alarm may not be issued and only the display of the details of the maintenance work may be performed.

[0202] The operator who has received the notification in steps S211 and S212 performs the maintenance work on the winding device 200 based on the content of the notified maintenance work.

[0203] The processing from step S27 to step S212 described above is the recognition processing of the maintenance display device 100. Figure 10 The identification process from step S27 to step S212 shown is the same as Figure 9 The identification processes from step S17 to step S112 shown are substantially the same processes.

[0204] <Details of each process>

[0205] The following, Figure 9 as well as Figure 10 The learning process, recognition process, and update process shown will be described in detail respectively.

[0206] [Learning Process]

[0207] First, the learning process executed by the maintenance effect determination unit 123 and the equipment state diagnosis model generation unit 124 will be described.

[0208] (Processing of the Maintenance Effect Determination Unit 123)

[0209] Next, the processing ( Figure 9 The processing of steps S11 to S14 will be described. Figure 11 This is a flowchart for explaining the processing executed by the maintenance effect determination unit 123 in the learning process.

[0210] In step S31, the maintenance effect determination unit 123 reads out from the production result database 111 the production result data registered in the production result database 111, including the time when the maintenance work was performed before the learning process ( Figure 8 The production result data list PL includes all the production result data of the wound body 204 produced within a given time period from the maintenance date and time shown beforeThe predetermined time is a time of a predetermined length, which is the time required to produce a certain number or more of the wound bodies 204 .

[0211] In step S32, the maintenance effect determination unit 123 determines the maintenance effect based on the production performance data list PL before The actual production performance data contained in the calculation of the defect rate before maintenance Nf before As mentioned above, the defect rate before maintenance Nf before It is based on the production actual results data list PL before It is calculated by dividing the shape data of the actual production result data included in and the number of wound bodies 204 determined to be defective as a result of the inspection by the total number of productions before the maintenance work.

[0212] In step S33, the maintenance effect determination unit 123 reads out data including the time from which maintenance was performed ( Figure 8 The production result data list PL includes all the production result data of the wound body 204 produced from the maintenance date and time shown to a predetermined time thereafter. after .

[0213] In step S34, the maintenance effect determination unit 123 determines the maintenance effect based on the production performance data list PL after The actual production results data included in the calculation of the post-maintenance defect rate Nf after As mentioned above, the defect rate after maintenance Nf after It is based on the production actual results data list PL after It is calculated by dividing the shape data of the actual production result data included in and the number of wound bodies 204 determined to be defective as a result of the inspection by the total number of production after the maintenance work.

[0214] In step S35, the maintenance effect determination unit 123 obtains the pre-maintenance failure rate Nf before and the defect rate after maintenance Nf after The difference (an example of the first difference of the present invention) is determined to determine whether the difference is greater than a given threshold value Th N When the difference is greater than the threshold Th N If (step S35 : Yes), the maintenance effect determination unit 123 advances the process to step S36 , and otherwise (step S35 : No), the maintenance effect determination unit 123 advances the process to step S37 .

[0215] In step S36, due to the difference between the defect rate Nf before maintenance before Compared with the defect rate after maintenance Nf after The maintenance effect determination unit 123 determines that the maintenance operation is effective. The maintenance operation mentioned here refers to the maintenance operation before the learning process, that is, Figure 9The maintenance work is performed in step S11.

[0216] On the other hand, in step S37, due to the difference between the defect rate Nf before maintenance before Compared with the defect rate after maintenance Nf after Since the maintenance effect determination unit 123 does not decrease, it determines that the maintenance work is ineffective or has a very small effect.

[0217] In this way, the maintenance effect determination unit 123 determines whether or not the maintenance work performed before the learning process is effective during the learning process.

[0218] Figure 12A as well as Figure 12B This is a conceptual diagram for explaining how to determine the effectiveness of maintenance work during learning. Figure 12A An example is shown in which it is determined that the maintenance work is effective. Figure 12B An example is shown in which it is determined that the maintenance work is ineffective. Figure 12A as well as Figure 12B , five wound bodies wound around one of the plurality of winding cores 206 are shown.

[0219] exist Figure 12A as well as Figure 12B In the example shown, before maintenance, two of the five wound bodies wound on a certain winding core 206 were judged to be defective. That is, the defect rate Nf before maintenance is before is 40%. Figure 12A In the example shown, after maintenance, the number of wound bodies determined to be defective among the five wound bodies wound on a certain winding core 206 is 0 (defective rate Nf after maintenance). after =0). On the other hand, Figure 12B In the example shown, after maintenance, among the five winding bodies wound on a certain winding core 206, the number of winding bodies determined to be defective has not changed from that before maintenance to two (defective rate Nf after maintenance). after =40%).

[0220] Therefore, in Figure 12A In the example shown, the defect rate before maintenance Nf before and the defect rate after maintenance Nf after The difference is 40%. On the other hand, Figure 12B In the example shown, the defect rate before maintenance Nf before and the defect rate after maintenance Nf after The difference is 0. Therefore, for example, the threshold value Th for determining the presence or absence of maintenance effect is N For example, when the percentage is 20%, Figure 12A In the example shown, it is determined that the maintenance work is effective. Figure 12BIn the example shown, it is determined that the maintenance work is ineffective.

[0221] (Processing of the Equipment State Diagnosis Model Generator 124)

[0222] Next, the process ( Figure 9 The processing of steps S15 and S16 is described below. Figure 13 This is a flowchart for explaining the process executed by the device state diagnosis model generation unit 124 in the learning process.

[0223] In step S41 , the equipment state diagnosis model generation unit 124 reads the maintenance achievement data MD of the maintenance work determined to be effective by the maintenance effect determination unit 123 .

[0224] In step S42, the equipment state diagnosis model generation unit 124 reads the pre-maintenance production performance data list PL from the production performance database 111. before In addition, here, the pre-maintenance production actual performance data list PL read by the equipment state diagnosis model generation unit 124 before The production performance data list PL before maintenance read out in the process of the maintenance effect determination unit 123 before Same (refer to Figure 11 Step S31).

[0225] In step S43, the equipment state diagnosis model generation unit 124 uses the read maintenance record data MD and production record data list PL before The actual production results data PD contained in the machine status diagnosis model M is learned new .

[0226] In step S44, the device state diagnosis model generation unit 124 generates the newly generated device state diagnosis model M new Registered in the equipment status diagnosis model database 112.

[0227] In this way, in the learning process, a new equipment state diagnosis model M is generated by learning what kind of shape data defective products are improved by what kind of maintenance work. new , and registered in the equipment status diagnosis model database 112.

[0228] [Recognition Processing]

[0229] Next, the recognition process performed by the device state diagnosis unit 121 and the notification determination unit 122 will be described.

[0230] (Processing of the Device Status Diagnostic Unit 121)

[0231] Next, the processing performed by the device state diagnosis unit 121 in the recognition processing ( Figure 9 The processing of step S17 and step S18 is described below. Figure 14 This is a flowchart for explaining the processing executed by the device state diagnosis unit 121 in the recognition processing.

[0232] In step S51, the equipment state diagnosis unit 121 determines whether new production performance data PD is registered in the production performance database 111. new . In the case of unregistered new production actual results data PD new In the case of (step S51: No), the equipment state diagnosis unit 121 repeatedly executes step S51. new (step S51 : YES), the device state diagnosis unit 121 advances the process to step S52 .

[0233] In step S52, the equipment state diagnosis unit 121 performs the following operations based on the newly registered production performance data PD: new The actual production data list PL is extracted from the actual production data database 111. The actual production data list PL is a list of newly registered actual production data PD from among the actual production data PD registered in the actual production data database 111. new The actual production data PD of the wound body 204 produced within a given time from the production date and time is extracted and listed. That is, the actual production data list PL contains at least the newly registered actual production data PD new .

[0234] In step S53 , the equipment state diagnosis unit 121 generates a degree of consistency C using the shape data included in the production performance data list PL and the past shape data included in the equipment state diagnosis model M read from the equipment state diagnosis model database 112 .

[0235] More specifically, the equipment state diagnosis unit 121 extracts shape data from each of one or more actual production data included in the actual production data list PL (see Figure 5 ). On the other hand, the device state diagnosis unit 121 extracts a plurality of device state diagnosis models M registered in the device state diagnosis model database 112. The plurality of device state diagnosis models M respectively correspond to different maintenance tasks.

[0236] The equipment state diagnosis unit 121 calculates a plurality of degrees of consistency C for all combinations of shape data extracted from one or more actual production data and a plurality of equipment state diagnosis models M.

[0237] (Processing of Notification Determination Unit 122)

[0238] Next, the processing performed by the notification determination unit 122 in the recognition processing ( Figure 9 The processing of steps S19 to S112 is described below. Figure 15 This is a flowchart for explaining the processing executed by the notification determination unit 122 in the recognition processing.

[0239] In step S61, the notification determination unit 122 aggregates the consistency C for each maintenance group based on the plurality of consistency Cs generated by the device state diagnosis unit 121. The so-called maintenance group is a group corresponding to the content of the maintenance work. For example, the notification determination unit 122 aggregates the consistency C for each maintenance group based on the plurality of consistency Cs generated by the device state diagnosis unit 121. Figure 16A The maintenance group information shown is used to group the maintenance work to be performed. Figure 16A As shown in FIG, the maintenance group information is information that establishes a correspondence between the maintenance group and the maintenance work implemented by the maintenance group. Figure 16A As shown, the maintenance group information may further include the maintenance plan to be implemented by the maintenance group. In addition, in this embodiment, the group divided according to each component of the maintenance work object is described as the maintenance group, but the present invention is not limited to this. The maintenance group may also be divided according to each content of the maintenance work, or according to each model of the component replaced in the maintenance work, etc.

[0240] In the following description, the result of aggregating the degrees of consistency C for each maintenance team is referred to as the total value A. The method for generating the total value A can be appropriately determined from a variety of aggregation methods. Specific examples of the various aggregation methods include a method of simply aggregating the degrees of consistency C, a method of averaging the degrees of consistency C, a method of selecting the maximum value from the degrees of consistency C, and a method of extracting and averaging a predetermined number of degrees of consistency C.

[0241] In step S62, the notification determination unit 122 generates a maintenance plan list ML. The maintenance plan list ML is a list of maintenance groups, and the maintenance groups are arranged in descending order of the total value A, for example. Figure 16B It is a diagram showing a specific example of the maintenance plan list ML.

[0242] like Figure 16B As shown, the maintenance plan list ML includes data such as "maintenance plan ID", "equipment", "maintenance plan" and "total value". The "maintenance plan ID" data is an identifier assigned to each maintenance team that is rearranged according to the size of the total value. As the "maintenance plan ID" data, for example, the larger the total value, the smaller the number assigned. The "maintenance plan" data is data indicating the content of the maintenance to be performed by the maintenance team. The notification determination unit 122 refers to Figure 16A The maintenance plan corresponding to the maintenance group is determined based on the maintenance group information shown. The "total value" data is data indicating the value of the total value A totaled for each maintenance group.

[0243] exist Figure 16B In the example shown, in winding equipment "A," adjustment of the first core, one of the plurality of cores 206, is registered as maintenance group 1, and adjustment of the third core, another of the plurality of cores 206, is registered as maintenance group 2. Furthermore, adjustment of the first laminating roller 205A is registered in maintenance plan list ML as maintenance group 3, and adjustment of the second laminating roller 205B is registered in maintenance plan list ML as maintenance group 4.

[0244] In addition, the so-called Figure 16B The maintenance plan for "maintenance of the first core" includes at least one of the following maintenance operations for the first core: adjustment, cleaning, or replacement of the first core. The same applies to "maintenance of the third core," "maintenance of the first laminating roller," and "maintenance of the second laminating roller."

[0245] As reference Figure 5 As described above, if the continuous position of the upper end surface of the first sheet 202 indicated by the first sheet end position data set and the continuous position of the upper end surface of the second sheet 203 indicated by the second sheet end position data set become tilted from the reference line, the roll 204 is judged as defective (or pass). Furthermore, it is known that the cause of the defect in the roll 204 is the winding core 206 around which the roll 204 is wound, or the first laminating roller 205A or the second laminating roller 205B.

[0246] The total value A is the sum of the consistency C and therefore has the same properties as the consistency C. Therefore, the larger the total value A, the more necessary it is for the maintenance team to perform the maintenance on the target winding device 200. Furthermore, the maintenance plan list ML is a list of maintenance teams arranged in descending order of total value A. Therefore, the higher the maintenance team in the maintenance plan list ML, the more necessary it is for the maintenance team to perform on the target winding device 200.

[0247] In step S63, the notification determination unit 122 determines whether the total value A is greater than a given sign threshold value Th for each maintenance team. f The so-called given omen threshold Th f, is the minimum value of the total value of the sign of abnormality assuming that the winding device 200 has generated an abnormality. In this embodiment, the abnormality of the winding device 200 means, for example, that the winding device 200 produces a winding body 204 with an inspection result of "bad" at a given ratio or more. In addition, the sign of abnormality of the winding device 200 means, for example, that the winding device 200 produces a winding body 204 with an inspection result of "pass" at a given ratio or more. The given sign threshold Th f For example, it may be determined empirically based on past maintenance result data MD or the like.

[0248] Even if the maintenance plan list ML contains only one total value A greater than the warning threshold Th f When the maintenance team is notified (step S63: Yes), the notification determination unit 122 also advances the process to step S64. f When none of the maintenance groups is included in the maintenance plan list ML (step S63 : No), the notification determination unit 122 determines that it is unnecessary to issue a notification indicating that maintenance should be performed, and ends the process.

[0249] In step S64, the notification determination unit 122 determines whether there is a maintenance group included in the maintenance plan list ML whose total value A is greater than a given abnormality threshold value Th. a The so-called given abnormal threshold Th a , is the minimum value of the total value assuming that an abnormality has occurred in the winding device 200 after the warning stage. a For example, it is determined empirically based on past maintenance performance data MD etc. to be greater than the warning threshold value Th f When the total value A is greater than the abnormal threshold value Th a If the maintenance team is included in the maintenance plan list ML (step S64: Yes), the notification determination unit 122 advances the process to step S66. a When the maintenance team is not included in the maintenance plan list ML (step S64 : No), the notification determination unit 122 advances the process to step S65 .

[0250] In step S65, the notification determination unit 122 notifies the display unit 132 of the notification unit 130 that the total value A is greater than the warning threshold value Th in step S63. f More specifically, the notification determination unit 122 causes the display unit 132 to display not only a message such as "Please perform the following maintenance content." but also the content of the recommended maintenance work. Figure 16BThe maintenance plan list ML shown contains the contents corresponding to the “maintenance plan” data.

[0251] Here, the notification determination unit 122 notifies the user that there are multiple total values ​​A that are greater than the warning threshold value Th. f In the case of a maintenance team, the contents of multiple maintenance tasks may be sorted and displayed by total value. In this case, more specifically, the notification determination unit 122 may display a message such as "Please perform the following maintenance. If the upper-level maintenance does not improve the situation, performing the lower-level maintenance may sometimes improve the situation." and display the contents of the recommended maintenance tasks in descending order.

[0252] Furthermore, the notification determination unit 122 not only notifies the maintenance team of the maintenance work content but also notifies the maintenance team of the maintenance content. When a maintenance worker inputs actual maintenance achievement data MD, the maintenance achievement data MD is associated with the maintenance plan ID that triggered the maintenance. This allows for easy determination of whether the inputted actual maintenance achievement data MD corresponds to the maintenance work performed in response to the notification from the maintenance display device 100.

[0253] In step S66, the notification determination unit 122 displays the details of the maintenance work on the display unit 132, similarly to step S65, and causes the alarm unit 131 to issue an alarm notifying the user of the maintenance display device 100 of the occurrence of an abnormality. If the abnormality in the target winding device 200 is not a sign of an abnormality, urgent maintenance work is required. Therefore, the notification determination unit 122 not only displays the details of the maintenance work on the display unit 132 but also issues an alarm on the alarm unit 131, promptly notifying the user of the maintenance display device 100 of the occurrence of the abnormality.

[0254] In this way, the recognition process uses the production performance data PD (particularly the shape data) of the newly produced winding body 204 and the equipment status diagnostic model M to determine whether an abnormality (a situation where a predetermined ratio of defective products or more) has occurred in the winding device 200, or whether there are signs of an abnormality. Furthermore, if an abnormality or a sign of an abnormality is determined to have occurred, the user is notified. This allows the user to quickly learn of any abnormality in the winding device 200 and to determine the details of the maintenance work required to correct the abnormality.

[0255] Furthermore, the present invention assumes that the cause of a defect in the roll 204 is the core 206 on which the roll 204 is wound, or the first laminating roller 205A or the second laminating roller 205B. As described above, the maintenance display device 100 uses any of the multiple cores 206, or the first laminating roller 205A or the second laminating roller 205B, as the target of maintenance work. The total value for each maintenance group is calculated, and the type of maintenance work to be performed is determined based on the total value. This determination allows the selection of maintenance work for any of the multiple cores 206, or the first laminating roller 205A or the second laminating roller 205B, which has a high probability of eliminating the defect in the roll 204, to be displayed.

[0256] Specifically, for example, if only a portion of the wound bodies 204 wound on the plurality of cores 206 is determined to be defective, the total value of the maintenance group corresponding to the maintenance work on the cores 206 around which the wound bodies 204 determined to be defective becomes higher. For example, if all of the wound bodies 204 wound on the plurality of cores 206 are determined to be defective, the total value of the maintenance group corresponding to the maintenance work on the first laminating roller 205A or the second laminating roller 205B becomes higher.

[0257] Furthermore, a situation in which all of the winding bodies 204 wound around the multiple cores 206 are judged to be defective may occur not only when a defect occurs on the first laminating roller 205A or the second laminating roller 205B, but also when all of the multiple cores 206 simultaneously experience a defect. However, it is assumed that the probability of all of the multiple cores 206 experiencing a defect simultaneously is sufficiently lower than the probability of a defect occurring on the first laminating roller 205A or the second laminating roller 205B. Therefore, it is assumed that the display content by the notification determination unit 122 includes maintenance information for the first laminating roller 205A or the second laminating roller 205B at a higher level, and maintenance information for the multiple cores 206 at a lower level.

[0258] [Update Process]

[0259] Next, the update process executed by the maintenance effect determination unit 123 and the equipment state diagnosis model generation unit 124 will be described.

[0260] (Processing of the Maintenance Effect Determination Unit 123)

[0261] Next, the processing performed by the maintenance effect determination unit 123 in the update processing ( Figure 10 The processing of steps S21 to S24 will be described. Figure 17 This is a flowchart for explaining the process executed by the maintenance effect determination unit 123 in the update process.

[0262] In step S71, the maintenance effect determination unit 123 determines whether new maintenance result data MD is registered in the maintenance result database 113 of the storage unit 110. new If it is determined that no new maintenance actual performance data MD has been registered new If (step S71: No), the maintenance effect determination unit 123 repeatedly executes step S71. new ) (step S71 : YES), the maintenance effect determination unit 123 advances the process to step S72 .

[0263] In step S72, the maintenance effect determination unit 123 determines the maintenance effect based on the newly registered maintenance result data MD. new The "maintenance date and time" data contained in Figure 8 ), determine the maintenance results data MD from the new registration new Whether the given time has passed since the corresponding maintenance.

[0264] If the maintenance effect determination unit 123 determines that the predetermined time has elapsed since the maintenance work was performed (step S72: Yes), the maintenance effect determination unit 123 proceeds to step S73. If the maintenance effect determination unit 123 determines that the predetermined time has not elapsed since the maintenance work was performed (step S72: No), the maintenance effect determination unit 123 repeats the process of step S72.

[0265] In step S73, the maintenance effect determination unit 123 reads out the pre-maintenance production result data list PL including all the production result data PD of the wound bodies 204 produced from the maintenance work to the previous predetermined time from the production result database 111. before .

[0266] In step S74, the maintenance effect determination unit 123 reads the new maintenance result data MD from the equipment state diagnosis model database 112. new The maintenance team's equipment status diagnosis model M corresponding to the maintenance content is used, and based on the read equipment status diagnosis model M and the production actual performance data list PL before To generate the consistency before maintenance C before About the consistency before maintenance C before The generation method is Figure 14 The method of generating the degree of consistency C executed by the device state diagnosis unit 121 in step S53 is the same.

[0267] In step S75, the maintenance effect determination unit 123 reads out the production result data list PL including all the production result data PD of the wound bodies 204 produced from the maintenance work to a predetermined time thereafter from the production result database 111. after .

[0268] In step S76, the maintenance effect determination unit 123 reads the new maintenance result data MD from the equipment state diagnosis model database 112. new The maintenance team's equipment status diagnosis model M corresponding to the maintenance content is used, and based on the read equipment status diagnosis model M and the production actual performance data list PL after To generate the maintained consistency C after About consistency C after The generation method is Figure 14 The method of generating the degree of consistency C executed by the device state diagnosis unit 121 in step S53 is the same.

[0269] In step S77, the maintenance effect determination unit 123 takes the consistency C before maintenance. before Consistency with maintenance C after The difference is determined to determine whether the difference is greater than the given threshold Th D When the difference is greater than the threshold Th D If (step S77: Yes), the maintenance effect determination unit 123 advances the process to step S78, otherwise (step S77: No), the process advances to step S79. D It may be determined appropriately based on the actual results of past maintenance work.

[0270] In step S78, due to the consistency C before maintenance before Compared with the consistency after maintenance C after Since the value of the maintenance result is small, the maintenance effect determination unit 123 determines that the maintenance work performed based on the maintenance content notified by the notification determination unit 122 is effective.

[0271] In step S79, due to the consistency C before maintenance before Compared with the consistency after maintenance C after Since the maintenance effect determination unit 123 determines that the maintenance work performed based on the maintenance content notified by the notification determination unit 122 is ineffective or has a very small effect, the maintenance effect determination unit 123 determines that the maintenance work performed based on the maintenance content notified by the notification determination unit 122 is ineffective or has a very small effect.

[0272] Figure 18A as well as Figure 18B This is a conceptual diagram for explaining how to determine the effectiveness of maintenance work during the update process. Figure 18A An example is shown in which it is determined that the maintenance work is effective. Figure 18B An example is shown in which it is determined that the maintenance work is ineffective.

[0273] exist Figure 18A as well as Figure 18B In the example shown, the pre-maintenance consistency C is calculated based on the shape data of the wound body 204 produced before maintenance and the equipment status diagnosis model M. before =0.90.

[0274] Moreover, in Figure 18A In the example shown, the post-maintenance consistency C is calculated based on the shape data of the wound body 204 produced after maintenance and the equipment status diagnosis model M. after =0.20. On the other hand, Figure 18B In the example shown, the post-maintenance consistency C is calculated based on the shape data of the wound body 204 produced after maintenance and the equipment status diagnosis model M. after =0.90.

[0275] Therefore, in Figure 18A In the example shown, the consistency before maintenance C before Consistency after maintenance C after The difference is 0.70. On the other hand, Figure 18B In the example shown, the consistency before maintenance C before Consistency after maintenance C after The difference becomes 0. Therefore, for example, the threshold value Th for determining the presence or absence of maintenance effect D When the value is 0.30, Figure 18A In the example shown, it is determined that the maintenance work is effective. Figure 18B In the example shown, it is determined that the maintenance work is ineffective.

[0276] (Processing of the Equipment State Diagnosis Model Generator 124)

[0277] Next, the process ( Figure 10 The processing of steps S25 and S26 is described below. Figure 19 This is a flowchart for explaining the process executed by the device state diagnosis model generation unit 124 in the update process.

[0278] In step S81, the equipment state diagnosis model generation unit 124 reads the maintenance result data MD of the maintenance work determined to be effective by the maintenance effect determination unit 123. new .

[0279] In step S82, the equipment state diagnosis model generation unit 124 reads the pre-maintenance production performance data list PL from the production performance database 111.before In addition, here, the pre-maintenance production actual performance data list PL read by the equipment state diagnosis model generation unit 124 before The production performance data list PL before maintenance read out in the process of the maintenance effect determination unit 123 before Same (refer to Figure 11 Step S31).

[0280] In step S83, the equipment state diagnosis model generation unit 124 uses the read maintenance record data MD and production record data list PL before The actual production results data PD contained in the machine status diagnosis model M is learned and generated. new .

[0281] In step S84, the device state diagnosis model generation unit 124 generates a new device state diagnosis model M as a result of the learning. new The device state diagnosis model M is added to the device state diagnosis model database 112 and updated.

[0282] Thus, in the updating process, the device state diagnosis model M generated in the learning process is used to generate a new device state diagnosis model M. new , and using the new equipment status diagnosis model M new To update the equipment state diagnosis model M that has been registered in the equipment state diagnosis model database 112. In this way, by using the new equipment state diagnosis model M based on effective maintenance work new The equipment state diagnosis model M in the equipment state diagnosis model database 112 is updated, so that the diagnosis accuracy of the equipment state of the winding device 200 in the equipment state diagnosis unit 121 gradually improves.

[0283] The present disclosure relates to a method for displaying information for maintenance of a production device, in which, when the continuation of the position of the first end face represented by the first group of data representing the position of the first end face read along the radial direction of the first winding body and the continuation of the position of the second end face represented by the second group of data representing the position of the second end face read along the radial direction of the first winding body appear to be parallel to a baseline, and the continuation of the position of the third end face represented by the third group of data representing the position of the third end face read along the radial direction of the second winding body and the continuation of the position of the fourth end face represented by the fourth group of data representing the position of the fourth end face read along the radial direction of the second winding body appear to be inclined from the baseline, the second winding body is defective, and information indicating that the cause of the defect is the second winding core is output to a display device.

[0284] Furthermore, the present disclosure relates to a method for displaying information for maintenance of a production device, wherein a first set of data indicating the position of a first end face read along a radial direction of a first winding body, a second set of data indicating the position of a second end face read along a radial direction of the first winding body, a third set of data indicating the position of a third end face read along a radial direction of the second winding body, and a fourth set of data indicating the position of a fourth end face read along a radial direction of the second winding body are input into a learned model created by the method for generating a learned model according to the present disclosure. Furthermore, when information indicating that the continuous position of the first end face indicated by the first set of data and the continuous position of the second end face indicated by the second set of data are parallel to a reference line and that the continuous position of the third end face indicated by the third set of data and the continuous position of the fourth end face indicated by the fourth set of data are inclined from the reference line is output from the learned model, the second winding body is defective, and information indicating that the cause of the defect is the second winding core is output to the display device.

[0285] <Functions and Effects of the Maintenance Display Device 100 of the First Embodiment>

[0286] As described above, the maintenance display device 100 includes a notification determination unit 122 and an equipment status diagnosis model generation unit 124 as an example of a model generation unit. The notification determination unit 122 obtains the first data indicating the position of the first end face and the second data indicating the position of the second end face read along the radial direction of the winding body 204 from the inspection machine 207 as a sensor. Furthermore, the notification determination unit 122 determines whether the winding body 204 is defective based on whether the continuity of the position of the first end face indicated by the first data intersects with the continuity of the position of the second end face indicated by the second data. If the winding body 204 is defective, the notification determination unit 122 outputs information indicating that the cause of the defect is the first supply reel 50 or the first bonding roller 205A to the display unit 132 for maintenance. The equipment state diagnosis model generation unit 124 calculates a first difference between the first defective rate of the wound bodies 204 before maintenance on the first supply reel 50 and the second defective rate of the wound bodies 204 after maintenance on the first supply reel 50, based on the first and second data before and after maintenance on the first supply reel 50. If the equipment state diagnosis model generation unit 124 determines that the first difference is less than a predetermined value, the first and second data read before maintenance on the first supply reel 50 are not used to generate or update the learned model. On the other hand, if the first difference is determined to be greater than the predetermined value, the learned model (equipment state diagnosis model M) is generated or updated using the first and second data read before maintenance on the first supply reel 50.

[0287] On the other hand, the device status diagnosis model generation unit 124 calculates the third probability that the defect of the winding body 204 is improved by inputting the first data and the second data before the first laminating roller 205A is maintained into the learned model. In addition, the device status diagnosis model generation unit 124 calculates the fourth probability that the defect of the winding body 204 is improved by inputting the first data and the second data after the first laminating roller 205A is maintained into the learned model. Then, the device status diagnosis model generation unit 124 calculates the second difference between the third probability and the fourth probability. When it is judged that the second difference is less than a given value, the first data and the second data read before the first laminating roller 205A is maintained are not used to create or update the learned model. On the other hand, when it is judged that the second difference is greater than a given value, the learned model is created or updated using the first data and the second data before the first laminating roller 205A is maintained.

[0288] As described above, the maintenance display device 100 involved in the first embodiment can perform: learning processing, generating an equipment status diagnosis model M for diagnosing the equipment status of the winding device 200 through learning; identification processing, using the equipment status diagnosis model M to identify whether an abnormality or a sign of an abnormality has occurred in the winding device 200, and notifying the situation when an abnormality or a sign of an abnormality has occurred; and update processing, updating the equipment status diagnosis model M based on the actual maintenance results data MD corresponding to the maintenance work performed based on the notification.

[0289] In more detail, during the learning process, the maintenance display device 100 determines whether the maintenance operation is effective based on the newly registered maintenance actual results data MD and the shape data contained in the production actual results data PD of the winding body 204 produced before and after the maintenance operation, and generates the equipment status diagnosis model M using the maintenance actual results data MD and shape data corresponding to the maintenance operation determined to be effective.

[0290] In addition, during the identification process, the maintenance display device 100 calculates the consistency C between the shape data of the winding body 204 produced after the maintenance work and the equipment status diagnosis model M for each maintenance team, and determines based on the size of the consistency C whether to issue an alarm and notify the content of the maintenance work, or only notify the content of the maintenance work, or not to notify itself.

[0291] Furthermore, during the update process, the maintenance display device 100 determines whether the maintenance operation is effective based on the newly registered maintenance actual result data MD and the shape data included in the production actual result data PD of the winding body 204 produced before and after the maintenance operation, and generates a new equipment status diagnosis model M using the maintenance actual result data MD and the shape data corresponding to the maintenance operation determined to be effective.new , and using the new equipment status diagnosis model M new To update the equipment status diagnosis model M.

[0292] This configuration allows for appropriate diagnosis of the winding device 200's condition using a learned model (equipment status diagnosis model M) generated based on effective maintenance work (those that reduced the defect rate) among actual maintenance operations. Furthermore, since the learned model is constantly updated, diagnostic accuracy can be improved. Furthermore, if an abnormality is diagnosed in the winding device 200, an alarm can be issued, prompting the user to take urgent action. Furthermore, if a sign of an abnormality is diagnosed, the user is informed of maintenance work that can be performed to improve the situation. This allows maintenance work to be performed while the defect rate of the winding device 200 is low.

[0293] In the maintenance display device 100 according to the first embodiment, any one of the plurality of cores 206, or the first laminating roller 205A or the second laminating roller 205B is assumed as the cause of the defect generated in the winding body 204. In the maintenance display device 100 according to the first embodiment, the notification determination unit 122 totals the consistency C for each maintenance group and determines the content of the maintenance operation notified to the user based on the size of the total value A. Therefore, the user is notified of the maintenance operation with the highest probability of improving the defect by maintenance of any one of the plurality of cores 206, or the first laminating roller 205A or the second laminating roller 205B. In the case where there are multiple maintenance operations with high probability, the multiple maintenance operations are displayed in a sorted state. As a result, the user can appropriately improve the defect of the winding body 204 by performing the notified maintenance operations in descending order of rank.

[0294] The maintenance display device involved in this embodiment includes a notification unit, a maintenance effect determination unit, and an equipment status diagnosis model generation unit. The notification unit notifies the content of the maintenance operation based on the equipment status diagnosis model that establishes an association between the content of the maintenance operation and the actual production result data before the maintenance operation and registered in the database for each maintenance operation performed in the past, and the newly input actual production result data. The maintenance effect determination unit determines whether the maintenance operation is effective based on the actual production result data before the time point when the maintenance operation was performed and the actual production result data after the time point when the maintenance operation was performed. The equipment status diagnosis model generation unit generates a new equipment status diagnosis model based on the actual production result data before the time point when the maintenance operation was determined to be effective and the content of the maintenance operation determined to be effective.

[0295] The maintenance display device according to this embodiment further includes an equipment status diagnosis unit that generates an equipment status diagnosis index representing the degree of consistency between newly registered actual production performance data and actual production performance data before maintenance work included in the equipment status diagnosis model. Furthermore, a notification unit notifies users of the details of the maintenance work based on the equipment status diagnosis index.

[0296] In the maintenance display device involved in this embodiment, the equipment status diagnosis model generation unit uses actual production results data before the time point of the maintenance work determined to be effective, and actual maintenance results data related to the maintenance work, to generate an equipment status diagnosis model through machine learning.

[0297] The maintenance display device according to this embodiment performs a maintenance operation not based on the content of the maintenance operation notified by the notification unit. When new maintenance achievement data related to the maintenance operation is newly input, the device calculates the defect rate of production results data for which inspection results were found to be poor, based on data related to inspection results of products of the production equipment included in the production achievement data, from the time the maintenance operation based on the newly input maintenance achievement data was performed to a predetermined time before. Furthermore, the device calculates the defect rate of production results data for which inspection results were found to be poor, from the time the maintenance operation based on the newly input maintenance achievement data was performed to a predetermined time after. A maintenance effectiveness determination unit then calculates the difference between the defect rate before and after the maintenance operation, and determines whether the maintenance operation was effective based on the magnitude of the difference.

[0298] (Second embodiment)

[0299] Hereinafter, a second embodiment of the present invention will be described. Figure 20 This figure illustrates the configuration of a maintenance display device 100A according to the second embodiment. In the maintenance display device 100A according to the second embodiment, the processing performed by the maintenance effect determination unit 123A included in the control unit 120A of the server 10A is different from that of the maintenance effect determination unit 123 according to the first embodiment described above.

[0300] The following describes the differences from the first embodiment. The same configurations as the first embodiment are denoted by the same reference numerals as the first embodiment, and configurations different from the first embodiment are denoted by reference numerals "A".

[0301] In the first embodiment, it is not assumed that the user of the maintenance display device 100 will perform maintenance work other than that notified by the maintenance display device 100. However, in practice, appropriate and necessary maintenance work (maintenance work other than that notified by the maintenance display device 100) may be performed at any time based on on-site judgment during the operation of the winding device 200. In this second embodiment, a maintenance display device 100A will be described that can also handle situations in which maintenance work other than that notified by the maintenance display device 100A is performed.

[0302] Figure 21 This is a flowchart for explaining the processing executed by the maintenance effect determination unit 123A in the second embodiment.

[0303] exist Figure 21 In step S91, the maintenance effect determination unit 123A determines whether the maintenance result data MD is newly registered in the maintenance result database 113 of the storage unit 110. new If it is determined that no new maintenance actual performance data MD has been registered new If (step S91: No), the maintenance effect determination unit 123A repeatedly executes step S91. new (step S91 : YES), the maintenance effect determination unit 123A advances the process to step S92 .

[0304] In step S92, the maintenance effect determination unit 123A determines the maintenance effect based on the newly registered maintenance result data MD. new The maintenance date and time data included in the maintenance result data MD is determined from the newly registered new Whether a given time has passed since the corresponding maintenance work. The given time is similar to the given time described in the first embodiment, and is, for example, the time required to produce a certain number of wound bodies 204 in the target winding device 200 after the maintenance work is performed.

[0305] If it is determined that the predetermined time has elapsed since the maintenance work (step S92: Yes), the maintenance effect determination unit 123A proceeds to step S93. If it is determined that the predetermined time has not elapsed since the maintenance work (step S92: No), the maintenance effect determination unit 123A repeats the process of step S92.

[0306] In step S93, the maintenance effect determination unit 123A determines whether there is any maintenance result data MD that is newly registered. newA corresponding maintenance plan ID is established. As described in the first embodiment, the notification determination unit 122 notifies not only the maintenance work content but also the maintenance team of the maintenance content and establishes a corresponding maintenance plan ID. The operator performs the maintenance work indicated by the notified maintenance plan ID. The operator establishes a correspondence between the performed maintenance work and the notified maintenance plan ID and inputs the maintenance actual result data MD. Thus, the maintenance actual result data MD and the maintenance plan ID that became the opportunity for maintenance are established in correspondence. In this step S93, the newly registered maintenance actual result data MD is determined in this way. new Whether maintenance is performed in response to a notification from the maintenance display device 100A.

[0307] In step S93, there is a newly registered maintenance performance data MD new If the corresponding maintenance plan ID is established, it is determined that it is consistent with the maintenance actual performance data MD. new The corresponding maintenance work is triggered by the notification of the maintenance content based on the maintenance display device 100A. new If the corresponding maintenance plan ID is established, it is determined that it is consistent with the maintenance actual performance data MD. new The corresponding maintenance work is not triggered by the notification of the maintenance content by the maintenance display device 100A.

[0308] In step S93, it is determined that the maintenance performance data MD is newly registered. new If the maintenance plan ID is included in the maintenance result data MD (step S93: Yes), the maintenance effect determination unit 123A advances the process to step S94. On the other hand, it is determined that the maintenance result data MD new When the maintenance plan ID is not included in (step S93 : No), the maintenance effect determination unit 123A advances the process to step S95 .

[0309] Step S94 is to register the newly maintained actual performance data MD new The corresponding maintenance operation is processed when the maintenance content notification based on the maintenance display device 100A is used as an opportunity. Therefore, in step S94, the maintenance effect determination unit 123A transfers to the process of determining whether the maintenance operation triggered by the maintenance content notification based on the maintenance display device 100A is effective. In addition, the maintenance effect determination process of the maintenance triggered by the maintenance content notification based on the maintenance display device 100A is different from the maintenance effect determination process of the maintenance in the first embodiment described above. Figure 17 The processing described is roughly the same, so the description is omitted.

[0310] On the other hand, step S95 is to maintain the actual performance data MD newThe corresponding maintenance operation is not triggered by the notification of the maintenance content based on the maintenance display device 100A. Therefore, the maintenance effect determination unit 123A shifts to the process of determining whether the maintenance operation not triggered by the maintenance display device 100A is effective. In addition, the maintenance effect determination process for the maintenance not triggered by the notification of the maintenance content based on the maintenance display device 100A is different from the maintenance effect determination process in the first embodiment mentioned above. Figure 11 The processing described is roughly the same, so the description is omitted.

[0311] As described above, according to the maintenance display device 100A according to the second embodiment, even when a maintenance operation is performed that is not triggered by a notification of maintenance content by the maintenance display device 100A, the maintenance result data MD can be appropriately registered. new In addition, using Figure 21 The processing of the maintenance effect determination unit 123A described above can be executed in either the learning processing or the updating processing described above.

[0312] The maintenance display device according to this embodiment generates a pre-maintenance equipment status diagnostic indicator based on an equipment status diagnostic model associated with production performance data from the time a maintenance operation for newly registered maintenance performance data is performed until a predetermined time before, and the content of the maintenance operation in the notification that triggered the maintenance operation for the newly entered maintenance performance data. Furthermore, a post-maintenance equipment status diagnostic indicator is generated based on an equipment status diagnostic model associated with production performance data from the time a maintenance operation for the newly entered maintenance performance data is performed until a predetermined time after, and the content of the maintenance operation in the notification that triggered the maintenance operation for the newly entered maintenance performance data. A maintenance effectiveness determination unit then calculates the difference between the pre-maintenance equipment status diagnostic indicator and the post-maintenance equipment status diagnostic indicator, and determines whether the maintenance operation was effective based on the magnitude of the difference.

[0313] (Third embodiment)

[0314] Hereinafter, a third embodiment of the present invention will be described. Figure 22 This figure illustrates the structure of a maintenance display device 100B according to a third embodiment. The maintenance display device 100B according to the third embodiment differs from the maintenance display device 100 according to the first embodiment described above in that the storage unit 110B of the server 10B further includes an ineffective device state diagnosis model database 114, and the control unit 120B includes a notification determination unit 122B, a maintenance effect determination unit 123B, and a device state diagnosis model generation unit 124B.

[0315] In the first embodiment described above, the equipment state diagnosis model generation unit 124 generates a new equipment state diagnosis model M using the maintenance record data MD determined to be effective. new (Reference Figure 13 In the third embodiment, the equipment state diagnosis model generation unit 124B further generates a new equipment state diagnosis model M using the maintenance actual result data MD determined to be ineffective. new .

[0316] Figure 23 This is a flowchart for explaining the processing performed by the device state diagnosis model generation unit 124B in the third embodiment. Figure 23 The described processing can be executed in either the learning process or the updating process.

[0317] In step S101, the equipment state diagnosis model generation unit 124B reads newly registered maintenance record data MD from the maintenance record database 113. new Here, the equipment state diagnosis model generation unit 124B reads the maintenance actual result data MD regardless of the determination result of the maintenance effect determination unit 123B. new .

[0318] In step S102, the equipment state diagnosis model generation unit 124B reads the production record data list PL before the maintenance work from the production record database 111. before .

[0319] In step S103, the equipment state diagnosis model generation unit 124B uses the read maintenance record data MD new , and production actual results data list PL before The actual production results data PD contained in the equipment status diagnosis model M is generated new .

[0320] In step S104, the device state diagnosis model generation unit 124B generates the newly generated device state diagnosis model M new The model generated based on the maintenance result data MD determined to be ineffective is registered in the ineffective equipment state diagnosis model database 114. On the other hand, the equipment state diagnosis model generation unit 124B registers the newly generated equipment state diagnosis model M new Among them, the model generated based on the maintenance achievement data MD determined to be effective is registered in the equipment state diagnosis model database 112 .

[0321] In this way, the equipment state diagnosis model generation unit 124B generates an equipment state diagnosis model M using not only the maintenance achievement data MD of maintenance determined to be effective but also the maintenance achievement data MD of maintenance determined to be ineffective.

[0322] The device state diagnosis model M generated in this way is used to perform the recognition process by the device state diagnosis unit 121 and the notification determination unit 122B. Figure 14 The processing described is roughly the same, so the description is omitted.

[0323] Hereinafter, the processing executed by the notification determination unit 122B in the recognition processing of the third embodiment will be described. Figure 24 This is a flowchart for explaining the processing executed by the notification determination unit 122B in the third embodiment.

[0324] In step S111, the notification determination unit 122B uses the consistency C generated by the device state diagnosis unit 121 to aggregate the consistency C for each maintenance team to generate a total value A. Furthermore, in the third embodiment, information (a flag) indicating whether the maintenance work was determined to be effective is associated with each maintenance team by the maintenance effectiveness determination unit 123B.

[0325] In step S112 , the notification determination unit 122B generates a maintenance plan list ML that is a list of maintenance teams arranged in descending order of the total value A.

[0326] In step S113, the notification determination unit 122B determines whether each maintenance group included in the maintenance plan list ML is deemed effective. As described above, in the third embodiment, the device status diagnosis unit 121 associates a flag indicating whether each maintenance group is effective. Therefore, the notification determination unit 122B refers to this flag when performing the processing in step S113. For maintenance groups whose maintenance work was determined to be effective, the notification determination unit 122B proceeds to step S114. On the other hand, for maintenance groups whose maintenance work was determined to be ineffective, the notification determination unit 122B proceeds to step S117.

[0327] In step S114, the notification determination unit 122B determines whether the total value A is greater than a given sign threshold value Th for each maintenance team determined to be effective. f Even if there is only one total value A greater than the warning threshold Th fIn the case of a maintenance team (step S114: Yes), the notification determination unit 122B also advances the process to step S115. f If the maintenance team is not present (step S114: No), the notification determination unit 122B ends the processing.

[0328] In step S115, the notification determination unit 122B determines whether there is a maintenance team whose total value A is greater than a given abnormality threshold value Th among the maintenance teams determined to be effective. a Maintenance team. When the total value A is greater than the abnormal threshold Th a If there is no maintenance team (step S115: Yes), the notification determination unit 122B advances the process to step S116. a In the case of a maintenance team (step S115: No), the notification determination unit 122B advances the process to step S118.

[0329] In step S116, the notification determination unit 122B notifies the user that the total value A is greater than the warning threshold value Th in step S114. f The maintenance content corresponding to the maintenance team is determined, and an alarm is issued to notify that an abnormality has occurred in the target winding device 200.

[0330] In step S117, the notification determination unit 122B determines whether the total value A is greater than a predetermined ineffectiveness threshold value Th for each maintenance team determined to have ineffective maintenance. ie No effect threshold Th ie It is the minimum value of the total value that should be notified of no effect. ie If there is no maintenance team (step S117: Yes), the notification determination unit 122B advances the process to step S118. ie If the maintenance team is not a member of the maintenance team (step S117: No), the notification determination unit 122B ends the processing.

[0331] In step S118, the notification determination unit 122B notifies the user that the total value A is greater than the warning threshold value Th in step S114. f At the same time, the notification determination unit 122B notifies the user that the total value A is greater than the ineffective threshold value Th in step S117. ie The maintenance content corresponding to the maintenance team.

[0332] With this configuration, the maintenance display device 100B according to the third embodiment can notify the user not only of maintenance details that are expected to improve the winding device 200, but also of the details of previously performed but ineffective maintenance work. This prevents the user from repeatedly performing ineffective maintenance work, thereby shortening the time and effort required for maintenance.

[0333] In the maintenance display device according to this embodiment, the equipment state diagnosis model generation unit generates a new equipment state diagnosis model based on actual production performance data prior to the time when the maintenance work determined to be ineffective was performed and actual maintenance performance data related to the maintenance work. The notification unit notifies the content of the maintenance work determined to be effective as an effective maintenance work, and notifies the content of the maintenance work associated with the equipment state diagnosis model generated based on the actual maintenance performance data related to the maintenance work determined to be ineffective as an ineffective maintenance work.

[0334] (Variation)

[0335] While the embodiments of the present disclosure have been described above with reference to the accompanying drawings, the present disclosure is not limited to these embodiments. It goes without saying that those skilled in the art will be able to devise various variations or modifications within the scope of the technical solution, and these variations or modifications are understood to fall within the technical scope of the present disclosure. Furthermore, the various components of the embodiments described above may be arbitrarily combined without departing from the spirit of the disclosure.

[0336] <Variation 1>

[0337] In the above embodiment, in the learning process, in the maintenance effect determination process performed by the maintenance effect determination unit 123, the effectiveness of the maintenance work is determined by whether the difference in the defect rate before and after the maintenance work is greater than a given threshold value (see Figure 12A as well as Figure 12B ).

[0338] However, the maintenance effect determination unit 123 may use other methods to determine whether the maintenance work is effective. Figure 25A as well as Figure 25B This is a diagram for explaining a modified example of the method of determining whether or not a maintenance work is effective, which is performed by the maintenance effect determination unit 123 in the learning process.

[0339] exist Figure 25A as well as Figure 25B In the example shown, the defect rate before maintenance is not referenced, but the defect rate after maintenance Nf is used. after Whether it is greater than a given threshold (such as 20%) is used to determine whether it is effective. Figure 25A In the example shown, Nfafter =0%, which is less than the given threshold of 20%, so it is judged to be effective. Figure 25B In the example shown, Nf after =40%, which is greater than the given threshold of 20%, so it is judged to be ineffective.

[0340] Likewise, even during the updating process, the maintenance effect determination unit 123 may determine whether the maintenance work is effective using a method different from that in the above-described embodiment.

[0341] Furthermore, in the above-described embodiment, in the updating process, in the maintenance effect determination process performed by the maintenance effect determination unit 123, the effectiveness is determined based on whether the difference in the degree of consistency before and after the maintenance work is greater than a given threshold value (see Figure 18A as well as Figure 18B ).

[0342] Figure 26A as well as Figure 26B This is a diagram for explaining a modified example of the method of determining whether or not the maintenance work is effective, which is performed by the maintenance effect determination unit 123 in the update process.

[0343] exist Figure 26A as well as Figure 26B In the example shown, the consistency before maintenance is not referenced, but based on the consistency after maintenance C after Whether it is greater than a given threshold (such as 0.30) is used to determine whether it has an effect. Figure 26A In the example shown, C after =0.20, which is less than the given threshold of 0.30, so it is judged to be effective. Figure 26B In the example shown, C after =0.90, which is greater than the given threshold of 0.30, and is therefore judged to have no effect.

[0344] <Variation 2>

[0345] In the above embodiment, the device state diagnosis model generation unit 124 generates the device state diagnosis model M, which is a learned model that learns which maintenance work is effective for which type of failure. The notification determination unit 122 uses this model to determine whether to issue a notification of maintenance work. However, the present invention is not limited to this, and may also be based solely on the shape data of the produced wound body 204 (see Figure 5 ) to determine whether the winding body 204 is defective. Moreover, if the winding body 204 is defective, a notification can be issued so that maintenance work can be performed on any of the multiple cores 206 that are the cause of the defect, or the first laminating roller 205A or the second laminating roller 205B.

[0346] In this second variation, the control unit of the maintenance display device performs the following control. Specifically, upon acquiring new wound body shape data, the control unit determines whether the continuity of the positions of the two ends of the first and second sheets is parallel to the reference line. If the determination is that they are parallel, the control unit does not issue a notification that maintenance work should be performed. If the determination is that they are not parallel, the control unit determines whether only some of the multiple wound bodies wound on the multiple cores are defective, or whether all of the multiple wound bodies wound on the multiple cores are defective.

[0347] If only some of the multiple winding bodies wound on the multiple cores are defective, the control unit notifies the cores around which the winding bodies determined to be defective that maintenance is required. On the other hand, if all of the multiple winding bodies wound on the multiple cores are defective, the control unit notifies at least one of the first laminating roller 205A and the second laminating roller 205B that maintenance is required.

[0348] In the second modification, the control unit can also change the notification method when the continuous inclination angle of the positions of the two ends of the first sheet and the second sheet is less than a given threshold value and when it is greater than the threshold value. With this structure, even without generating the equipment status diagnosis model M, it is possible to determine which of the multiple winding cores 206, or the first laminating roller 205A or the second laminating roller 205B should be maintained and notify. However, compared with this modification, the accuracy of determining the cause of the defect in the above-mentioned embodiments 1 to 3 is higher. Therefore, in order to achieve the purpose of the present invention, the above-mentioned embodiments 1 to 3 are more suitable than this modification.

[0349] According to the present disclosure, it is possible to detect a sign of abnormality in a device.

[0350] Industrial applicability

[0351] The present disclosure is useful in a maintenance display device that displays information related to maintenance of production equipment.

Claims

1. A display method for displaying information of a winding device on a display device, wherein the winding device comprises: a first supply mechanism for supplying a first electrode sheet; a second supply mechanism for supplying a second electrode sheet; a first laminating roller, disposed on the first electrode sheet side; a second laminating roller, provided on the second electrode sheet side, and forming a pair with the first laminating roller to laminate the first electrode sheet and the second electrode sheet; Volume 1; Volume 2 core; a driving mechanism for moving the first winding core to a predetermined winding position, winding the first electrode sheet and the second electrode sheet in an overlapping manner on the first winding core, and moving the second winding core to the predetermined winding position, winding the first electrode sheet and the second electrode sheet in an overlapping manner on the second winding core; and The sensor reads the first end face of the first electrode sheet and the second end face of the second electrode sheet along the radial direction of the first winding body in which the first electrode sheet and the second electrode sheet are wound in a plurality of overlapping turns on the first winding core, and reads the third end face of the first electrode sheet and the fourth end face of the second electrode sheet along the radial direction of the second winding body in which the first electrode sheet and the second electrode sheet are wound in a plurality of overlapping turns on the second winding core. In the display method, Acquire from the sensor a first set of data indicating the position of the first end face read along the radial direction of the first winding body, a second set of data indicating the position of the second end face read along the radial direction of the first winding body, a third set of data indicating the position of the third end face read along the radial direction of the second winding body, and a fourth set of data indicating the position of the fourth end face read along the radial direction of the second winding body, In the case where the continuity of the position of the first end face represented by the first set of data and the second set of data and the continuity of the position of the second end face appear to be parallel to the baseline, and the continuity of the position of the third end face represented by the third set of data and the fourth set of data and the continuity of the position of the fourth end face appear to be inclined from the baseline, it is determined that the second winding body is defective and the cause of the defect is the second winding core. Information indicating that the cause of the failure is the second winding core is output to the display device.

2. The display method according to claim 1, wherein: The first electrode sheet is the positive electrode sheet of the battery, and the second electrode sheet is the negative electrode sheet of the battery.

3. The display method according to claim 1, wherein: The first electrode sheet is the negative electrode sheet of the battery, and the second electrode sheet is the positive electrode sheet of the battery.

4. A method for generating a learned model for use in maintaining a winding device, the winding device comprising: a first supply mechanism for supplying a first electrode sheet; a second supply mechanism for supplying a second electrode sheet; a first laminating roller, disposed on the first electrode sheet side; a second laminating roller, provided on the second electrode sheet side, and forming a pair with the first laminating roller to laminate the first electrode sheet and the second electrode sheet; Volume 1; Volume 2 core; a driving mechanism for moving the first winding core to a predetermined winding position, winding the first electrode sheet and the second electrode sheet in an overlapping manner on the first winding core, and moving the second winding core to the predetermined winding position, winding the first electrode sheet and the second electrode sheet in an overlapping manner on the second winding core; and The sensor reads the first end face of the first electrode sheet and the second end face of the second electrode sheet along the radial direction of the first winding body in which the first electrode sheet and the second electrode sheet are wound in a plurality of overlapping turns on the first winding core, and reads the third end face of the first electrode sheet and the fourth end face of the second electrode sheet along the radial direction of the second winding body in which the first electrode sheet and the second electrode sheet are wound in a plurality of overlapping turns on the second winding core. In the method for generating the learned model, Acquire from the sensor a first set of data indicating the position of the first end face read along the radial direction of the first winding body, a second set of data indicating the position of the second end face read along the radial direction of the first winding body, a third set of data indicating the position of the third end face read along the radial direction of the second winding body, and a fourth set of data indicating the position of the fourth end face read along the radial direction of the second winding body, In the case where the continuity of the position of the first end face represented by the first set of data and the second set of data and the continuity of the position of the second end face appear to be parallel to the baseline, and the continuity of the position of the third end face represented by the third set of data and the fourth set of data and the continuity of the position of the fourth end face appear to be inclined from the baseline, it is determined that the second winding body is defective and the cause of the defect is the second winding core. Outputting information indicating that the cause of the failure is the second winding core to the display device, When it is judged that the first difference between the first defective rate of the second winding body before the second core is maintained and the second defective rate of the second winding body after the second core is maintained is less than a given value, the third set of data and the fourth set of data read before the second core is maintained are not used to generate the learned model. On the other hand, when it is judged that the first difference is greater than the given value, the third set of data and the fourth set of data read before the second core is maintained are used to generate the learned model.

5. The method for generating a learned model according to claim 4, wherein: The first electrode sheet is the positive electrode sheet of the battery, and the second electrode sheet is the negative electrode sheet of the battery.

6. The method for generating a learned model according to claim 4, wherein: The first electrode sheet is the negative electrode sheet of the battery, and the second electrode sheet is the positive electrode sheet of the battery.

7. A method for generating a learned model for use in maintaining a winding device, the winding device comprising: a first supply mechanism for supplying a first electrode sheet; a second supply mechanism for supplying a second electrode sheet; a first laminating roller, disposed on the first electrode sheet side; a second laminating roller, provided on the second electrode sheet side, and forming a pair with the first laminating roller to laminate the first electrode sheet and the second electrode sheet; Volume 1; Volume 2 core; a driving mechanism for moving the first winding core to a predetermined winding position, winding the first electrode sheet and the second electrode sheet in an overlapping manner on the first winding core, and moving the second winding core to the predetermined winding position, winding the first electrode sheet and the second electrode sheet in an overlapping manner on the second winding core; and The sensor reads the first end face of the first electrode sheet and the second end face of the second electrode sheet along the radial direction of the first winding body in which the first electrode sheet and the second electrode sheet are wound in a plurality of overlapping turns on the first winding core, and reads the third end face of the first electrode sheet and the fourth end face of the second electrode sheet along the radial direction of the second winding body in which the first electrode sheet and the second electrode sheet are wound in a plurality of overlapping turns on the second winding core. In the method for generating the learned model, Acquire from the sensor a first set of data indicating the position of the first end face read along the radial direction of the first winding body, a second set of data indicating the position of the second end face read along the radial direction of the first winding body, a third set of data indicating the position of the third end face read along the radial direction of the second winding body, and a fourth set of data indicating the position of the fourth end face read along the radial direction of the second winding body, In the case where the continuity of the position of the first end face and the continuity of the position of the second end face represented by the first set of data and the second set of data are parallel to the baseline, and the continuity of the position of the third end face and the continuity of the position of the fourth end face represented by the third set of data and the fourth set of data are inclined from the baseline, it is determined that the second winding body is defective and the cause of the defect is the second winding core. Outputting information indicating that the cause of the failure is the second winding core to the display device, In a case where it is judged based on the third set of data and the fourth set of data before and after the second core is maintained that the second defective rate of the second winding body after the second core is maintained is greater than a given value, the third set of data and the fourth set of data read before the second core is maintained are not used to generate the learned model. On the other hand, in a case where it is judged that the second defective rate is less than the given value, the third set of data and the fourth set of data read before the second core is maintained are used to generate the learned model.

8. The method for generating a learned model according to claim 7, wherein: The first electrode sheet is the positive electrode sheet of the battery, and the second electrode sheet is the negative electrode sheet of the battery.

9. The method for generating a learned model according to claim 7, wherein: The first electrode sheet is the negative electrode sheet of the battery, and the second electrode sheet is the positive electrode sheet of the battery.

10. A method for generating a learned model for use in maintaining a winding device, the winding device comprising: a first supply mechanism for supplying a first electrode sheet; a second supply mechanism for supplying a second electrode sheet; a first laminating roller, disposed on the first electrode sheet side; a second laminating roller, provided on the second electrode sheet side, and forming a pair with the first laminating roller to laminate the first electrode sheet and the second electrode sheet; Volume 1; Volume 2 core; a driving mechanism for moving the first winding core to a predetermined winding position, winding the first electrode sheet and the second electrode sheet in an overlapping manner on the first winding core, and moving the second winding core to the predetermined winding position, winding the first electrode sheet and the second electrode sheet in an overlapping manner on the second winding core; and The sensor reads the first end face of the first electrode sheet and the second end face of the second electrode sheet along the radial direction of the first winding body in which the first electrode sheet and the second electrode sheet are wound in a plurality of overlapping turns on the first winding core, and reads the third end face of the first electrode sheet and the fourth end face of the second electrode sheet along the radial direction of the second winding body in which the first electrode sheet and the second electrode sheet are wound in a plurality of overlapping turns on the second winding core. In the method for generating the learned model, Acquire from the sensor a first set of data indicating the position of the first end face read along the radial direction of the first winding body, a second set of data indicating the position of the second end face read along the radial direction of the first winding body, a third set of data indicating the position of the third end face read along the radial direction of the second winding body, and a fourth set of data indicating the position of the fourth end face read along the radial direction of the second winding body, In the case where the continuous positions of the first end face represented by the first set of data and the second set of data and the continuous positions of the second end face are parallel to the baseline, and the continuous positions of the third end face represented by the third set of data and the fourth set of data and the continuous positions of the fourth end face are inclined from the baseline, a learning model is generated to determine that the cause of the defect of the second winding body is the second winding core. Based on the judgment using the learned model, information indicating that the cause of the failure is the second winding core is output to a display device for maintenance. When it is judged that the first difference between the first probability of improvement of the defect of the second winding body obtained by inputting the third set of data and the fourth set of data before the second core is maintained into the learned model and the second probability of improvement of the defect of the second winding body obtained by inputting the third set of data and the fourth set of data after the second core is maintained into the learned model is less than a given value, the third set of data and the fourth set of data read before the second core is maintained are not used to update the learned model. On the other hand, when it is judged that the first difference is greater than the given value, the third set of data and the fourth set of data before the second core is maintained are used to update the learned model.

11. The method for generating a learned model according to claim 10, wherein: The first electrode sheet is the positive electrode sheet of the battery, and the second electrode sheet is the negative electrode sheet of the battery.

12. The method for generating a learned model according to claim 10, wherein: The first electrode sheet is the negative electrode sheet of the battery, and the second electrode sheet is the positive electrode sheet of the battery.

13. A method for generating a learned model for use in maintaining a winding device, the winding device comprising: a first supply mechanism for supplying a first electrode sheet; a second supply mechanism for supplying a second electrode sheet; a first laminating roller, disposed on the first electrode sheet side; a second laminating roller, provided on the second electrode sheet side, and forming a pair with the first laminating roller to laminate the first electrode sheet and the second electrode sheet; Volume 1; Volume 2 core; a driving mechanism for moving the first winding core to a predetermined winding position, winding the first electrode sheet and the second electrode sheet in an overlapping manner on the first winding core, and moving the second winding core to the predetermined winding position, winding the first electrode sheet and the second electrode sheet in an overlapping manner on the second winding core; and The sensor reads the first end face of the first electrode sheet and the second end face of the second electrode sheet along the radial direction of the first winding body in which the first electrode sheet and the second electrode sheet are wound in a plurality of overlapping turns on the first winding core, and reads the third end face of the first electrode sheet and the fourth end face of the second electrode sheet along the radial direction of the second winding body in which the first electrode sheet and the second electrode sheet are wound in a plurality of overlapping turns on the second winding core. In the method for generating the learned model, Acquire from the sensor a first set of data indicating the position of the first end face read along the radial direction of the first winding body, a second set of data indicating the position of the second end face read along the radial direction of the first winding body, a third set of data indicating the position of the third end face read along the radial direction of the second winding body, and a fourth set of data indicating the position of the fourth end face read along the radial direction of the second winding body, In the case where the continuous positions of the first end face represented by the first set of data and the second set of data and the continuous positions of the second end face are parallel to the baseline, and the continuous positions of the third end face represented by the third set of data and the fourth set of data and the continuous positions of the fourth end face are inclined from the baseline, a learning model is generated to determine that the cause of the defect of the second winding body is the second winding core. Based on the judgment using the learned model, information indicating that the cause of the failure is the second winding core is output to a display device for maintenance. When it is judged that the second probability of improvement of the defect of the second winding body obtained by inputting the third set of data and the fourth set of data after the second core is maintained into the learned model is greater than a given value, the third set of data and the fourth set of data read before the second core is maintained are not used to update the learned model. On the other hand, when it is judged that the second probability is less than the given value, the third set of data and the fourth set of data before the second core is maintained are used to update the learned model.

14. The method for generating a learned model according to claim 13, wherein: The first electrode sheet is the positive electrode sheet of the battery, and the second electrode sheet is the negative electrode sheet of the battery.

15. The method for generating a learned model according to claim 13, wherein: The first electrode sheet is the negative electrode sheet of the battery, and the second electrode sheet is the positive electrode sheet of the battery.

16. An information output device for displaying information related to maintenance of a winding device, the winding device comprising: a first supply mechanism for supplying a first electrode sheet; a second supply mechanism for supplying a second electrode sheet; a first laminating roller, disposed on the first electrode sheet side; a second laminating roller, provided on the second electrode sheet side, and forming a pair with the first laminating roller to laminate the first electrode sheet and the second electrode sheet; Volume 1; Volume 2 core; a driving mechanism for moving the first winding core to a predetermined winding position, winding the first electrode sheet and the second electrode sheet in an overlapping manner on the first winding core, and moving the second winding core to the predetermined winding position, winding the first electrode sheet and the second electrode sheet in an overlapping manner on the second winding core; and The sensor reads the first end face of the first electrode sheet and the second end face of the second electrode sheet along the radial direction of the first winding body in which the first electrode sheet and the second electrode sheet are wound in a plurality of overlapping turns on the first winding core, and reads the third end face of the first electrode sheet and the fourth end face of the second electrode sheet along the radial direction of the second winding body in which the first electrode sheet and the second electrode sheet are wound in a plurality of overlapping turns on the second winding core. The device for outputting information comprises: an acquisition unit that acquires from the sensor a first set of data indicating the position of the first end face read along the radial direction of the first winding body, a second set of data indicating the position of the second end face read along the radial direction of the first winding body, a third set of data indicating the position of the third end face read along the radial direction of the second winding body, and a fourth set of data indicating the position of the fourth end face read along the radial direction of the second winding body; and The notification judgment unit judges whether the second winding body is defective based on whether the continuity of the position of the first end face represented by the first set of data and the second set of data and the continuity of the position of the second end face are parallel to the baseline, and whether the continuity of the position of the third end face represented by the third set of data and the fourth set of data and the continuity of the position of the fourth end face are inclined from the baseline. If it is judged to be defective, information indicating that the cause of the defect is the second winding core is output to the display device for maintenance.

17. An information output device for displaying information related to maintenance of a winding device, the winding device comprising: a first supply mechanism for supplying a first electrode sheet; a second supply mechanism for supplying a second electrode sheet; a first laminating roller, disposed on the first electrode sheet side; a second laminating roller, provided on the second electrode sheet side, and forming a pair with the first laminating roller to laminate the first electrode sheet and the second electrode sheet; Volume 1; Volume 2 core; a driving mechanism for moving the first winding core to a predetermined winding position, winding the first electrode sheet and the second electrode sheet in an overlapping manner on the first winding core, and moving the second winding core to the predetermined winding position, winding the first electrode sheet and the second electrode sheet in an overlapping manner on the second winding core; and The sensor reads the first end face of the first electrode sheet and the second end face of the second electrode sheet along the radial direction of the first winding body in which the first electrode sheet and the second electrode sheet are wound in a plurality of overlapping turns on the first winding core, and reads the third end face of the first electrode sheet and the fourth end face of the second electrode sheet along the radial direction of the second winding body in which the first electrode sheet and the second electrode sheet are wound in a plurality of overlapping turns on the second winding core. The device for outputting information comprises: an acquisition unit that acquires from the sensor a first set of data indicating the position of the first end face read along the radial direction of the first winding body, a second set of data indicating the position of the second end face read along the radial direction of the first winding body, a third set of data indicating the position of the third end face read along the radial direction of the second winding body, and a fourth set of data indicating the position of the fourth end face read along the radial direction of the second winding body; a notification determination unit that determines whether the second wound body is defective based on whether the continuity of the positions of the first end face and the second end face indicated by the first set of data and the second set of data are parallel to a reference line, and whether the continuity of the positions of the third end face and the fourth end face indicated by the third set of data and the fourth set of data are inclined from the reference line, and, if the second wound body is defective, outputs information indicating that the cause of the defect is the second winding core to a display device for maintenance; and The model generation unit does not use the third set of data and the fourth set of data read before the second core is maintained when it is judged that the first difference between the first defective rate of the second winding body before the second core is maintained and the second defective rate of the second winding body after the second core is maintained is less than a given value, but uses the third set of data and the fourth set of data read before the second core is maintained when it is judged that the first difference is greater than the given value to generate a learned model.

18. An information output device for displaying information related to maintenance of a winding device, the winding device comprising: a first supply mechanism for supplying a first electrode sheet; a second supply mechanism for supplying a second electrode sheet; a first laminating roller, disposed on the first electrode sheet side; a second laminating roller, provided on the second electrode sheet side, and forming a pair with the first laminating roller to laminate the first electrode sheet and the second electrode sheet; Volume 1; Volume 2 core; a driving mechanism for moving the first winding core to a predetermined winding position, winding the first electrode sheet and the second electrode sheet in an overlapping manner on the first winding core, and moving the second winding core to the predetermined winding position, winding the first electrode sheet and the second electrode sheet in an overlapping manner on the second winding core; and The sensor reads the first end face of the first electrode sheet and the second end face of the second electrode sheet along the radial direction of the first winding body in which the first electrode sheet and the second electrode sheet are wound in a plurality of overlapping turns on the first winding core, and reads the third end face of the first electrode sheet and the fourth end face of the second electrode sheet along the radial direction of the second winding body in which the first electrode sheet and the second electrode sheet are wound in a plurality of overlapping turns on the second winding core. The device for outputting information comprises: an acquisition unit that acquires from the sensor a first set of data indicating the position of the first end face read along the radial direction of the first winding body, a second set of data indicating the position of the second end face read along the radial direction of the first winding body, a third set of data indicating the position of the third end face read along the radial direction of the second winding body, and a fourth set of data indicating the position of the fourth end face read along the radial direction of the second winding body; a notification determination unit that determines whether the second wound body is defective based on whether the continuity of the positions of the first end face and the second end face indicated by the first set of data and the second set of data are parallel to a reference line, and whether the continuity of the positions of the third end face and the fourth end face indicated by the third set of data and the fourth set of data are inclined from the reference line, and, if the second wound body is defective, outputs information indicating that the cause of the defect is the second winding core to a display device for maintenance; and The model generation unit does not use the third set of data and the fourth set of data read before the second core is maintained when it is judged that the second defective rate of the second winding body after the second core is maintained is greater than a given value based on the third set of data and the fourth set of data before and after the second core is maintained, but uses the third set of data and the fourth set of data read before the second core is maintained when it is judged that the second defective rate is less than the given value to generate a learned model.

19. An information output device for displaying information related to maintenance of a winding device, the winding device comprising: a first supply mechanism for supplying a first electrode sheet; a second supply mechanism for supplying a second electrode sheet; a first laminating roller, disposed on the first electrode sheet side; a second laminating roller, provided on the second electrode sheet side, and forming a pair with the first laminating roller to laminate the first electrode sheet and the second electrode sheet; Volume 1; Volume 2 core; a driving mechanism for moving the first winding core to a predetermined winding position, winding the first electrode sheet and the second electrode sheet in an overlapping manner on the first winding core, and moving the second winding core to the predetermined winding position, winding the first electrode sheet and the second electrode sheet in an overlapping manner on the second winding core; and The sensor reads the first end face of the first electrode sheet and the second end face of the second electrode sheet along the radial direction of the first winding body in which the first electrode sheet and the second electrode sheet are wound in a plurality of overlapping turns on the first winding core, and reads the third end face of the first electrode sheet and the fourth end face of the second electrode sheet along the radial direction of the second winding body in which the first electrode sheet and the second electrode sheet are wound in a plurality of overlapping turns on the second winding core. The device for outputting information comprises: an acquisition unit that acquires from the sensor a first set of data indicating the position of the first end face read along the radial direction of the first winding body, a second set of data indicating the position of the second end face read along the radial direction of the first winding body, a third set of data indicating the position of the third end face read along the radial direction of the second winding body, and a fourth set of data indicating the position of the fourth end face read along the radial direction of the second winding body; a model generating unit that determines whether the second wound body is defective based on whether the continuity of the positions of the first end face and the second end face indicated by the first set of data and the second set of data are parallel to a baseline, and whether the continuity of the positions of the third end face and the fourth end face indicated by the third set of data and the fourth set of data are inclined from the baseline, and, if the second wound body is defective, generates a learned model for determining that the cause of the defect is the second winding core; and The notification determination unit determines that the cause of the failure is the second winding core using the learned model, and outputs information including the determination result to a display device for maintenance. The model generating unit does not use the third set of data and the fourth set of data read before the second core is maintained when the first difference between the first probability of the defect of the second winding body being improved obtained by inputting the third set of data and the fourth set of data before the second core is maintained into the learned model and the second probability of the defect of the second winding body being improved obtained by inputting the third set of data and the fourth set of data after the second core is maintained into the learned model is less than a given value, but uses the third set of data and the fourth set of data before the second core is maintained when the first difference is judged to be greater than the given value to update the learned model.

20. An information output device for displaying information related to maintenance of a winding device, the winding device comprising: a first supply mechanism for supplying a first electrode sheet; a second supply mechanism for supplying a second electrode sheet; a first laminating roller, disposed on the first electrode sheet side; a second laminating roller, provided on the second electrode sheet side, and forming a pair with the first laminating roller to laminate the first electrode sheet and the second electrode sheet; Volume 1; Volume 2 core; a driving mechanism for moving the first winding core to a predetermined winding position, winding the first electrode sheet and the second electrode sheet in an overlapping manner on the first winding core, and moving the second winding core to the predetermined winding position, winding the first electrode sheet and the second electrode sheet in an overlapping manner on the second winding core; and The sensor reads the first end face of the first electrode sheet and the second end face of the second electrode sheet along the radial direction of the first winding body in which the first electrode sheet and the second electrode sheet are wound in a plurality of overlapping turns on the first winding core, and reads the third end face of the first electrode sheet and the fourth end face of the second electrode sheet along the radial direction of the second winding body in which the first electrode sheet and the second electrode sheet are wound in a plurality of overlapping turns on the second winding core. The device for outputting information comprises: an acquisition unit that acquires from the sensor a first set of data indicating the position of the first end face read along the radial direction of the first winding body, a second set of data indicating the position of the second end face read along the radial direction of the first winding body, a third set of data indicating the position of the third end face read along the radial direction of the second winding body, and a fourth set of data indicating the position of the fourth end face read along the radial direction of the second winding body; a model generating unit for determining whether the second wound body is defective based on whether the continuity of the positions of the first end face and the second end face indicated by the first set of data and the second set of data are parallel to a baseline, and whether the continuity of the positions of the third end face and the fourth end face indicated by the third set of data and the fourth set of data are inclined from the baseline, and, if the second wound body is defective, generating a learned model for determining that the cause of the defect is the second winding core; and The notification determination unit determines that the cause of the failure is the second winding core using the learned model, and outputs information including the determination result to a display device for maintenance. The model generation unit does not use the third set of data and the fourth set of data read before the second core is maintained when the second probability of the defect of the second winding body being improved obtained by inputting the third set of data and the fourth set of data after the second core is maintained into the learned model is greater than a given value, but uses the third set of data and the fourth set of data before the second core is maintained when the second probability is judged to be less than the given value to update the learned model.

21. A program product comprising a program executed by a computer, the program displaying information related to maintenance of a winding device, the winding device comprising: a first supply mechanism for supplying a first electrode sheet; a second supply mechanism for supplying a second electrode sheet; a first laminating roller, disposed on the first electrode sheet side; a second laminating roller, provided on the second electrode sheet side, and forming a pair with the first laminating roller to laminate the first electrode sheet and the second electrode sheet; Volume 1; Volume 2 core; a driving mechanism for moving the first winding core to a predetermined winding position, winding the first electrode sheet and the second electrode sheet in an overlapping manner on the first winding core, and moving the second winding core to the predetermined winding position, winding the first electrode sheet and the second electrode sheet in an overlapping manner on the second winding core; and The sensor reads the first end face of the first electrode sheet and the second end face of the second electrode sheet along the radial direction of the first winding body in which the first electrode sheet and the second electrode sheet are wound in a plurality of overlapping turns on the first winding core, and reads the third end face of the first electrode sheet and the fourth end face of the second electrode sheet along the radial direction of the second winding body in which the first electrode sheet and the second electrode sheet are wound in a plurality of overlapping turns on the second winding core. The program causes the computer to execute the following process: Acquire from the sensor a first set of data indicating the position of the first end face read along the radial direction of the first winding body, a second set of data indicating the position of the second end face read along the radial direction of the first winding body, a third set of data indicating the position of the third end face read along the radial direction of the second winding body, and a fourth set of data indicating the position of the fourth end face read along the radial direction of the second winding body; and When it is judged that the continuity of the position of the first end face represented by the first set of data and the second set of data and the continuity of the position of the second end face are parallel to the baseline, and the continuity of the position of the third end face represented by the third set of data and the fourth set of data and the continuity of the position of the fourth end face are inclined from the baseline, the second winding body is defective, and information indicating that the cause of the defect is the second winding core is output to the display device for maintenance.

22. A program product comprising a program executed by a computer, the program generating a learned model for maintenance of a winding device, the winding device comprising: a first supply mechanism for supplying a first electrode sheet; a second supply mechanism for supplying a second electrode sheet; a first laminating roller, disposed on the first electrode sheet side; a second laminating roller, provided on the second electrode sheet side, and forming a pair with the first laminating roller to laminate the first electrode sheet and the second electrode sheet; Volume 1; Volume 2 core; a driving mechanism for moving the first winding core to a predetermined winding position, winding the first electrode sheet and the second electrode sheet in an overlapping manner on the first winding core, and moving the second winding core to the predetermined winding position, winding the first electrode sheet and the second electrode sheet in an overlapping manner on the second winding core; and The sensor reads the first end face of the first electrode sheet and the second end face of the second electrode sheet along the radial direction of the first winding body in which the first electrode sheet and the second electrode sheet are wound in a plurality of overlapping turns on the first winding core, and reads the third end face of the first electrode sheet and the fourth end face of the second electrode sheet along the radial direction of the second winding body in which the first electrode sheet and the second electrode sheet are wound in a plurality of overlapping turns on the second winding core. The program causes the computer to execute the following process: Acquiring from the sensor a first set of data indicating the position of the first end face read along the radial direction of the first wound body, a second set of data indicating the position of the second end face read along the radial direction of the first wound body, a third set of data indicating the position of the third end face read along the radial direction of the second wound body, and a fourth set of data indicating the position of the fourth end face read along the radial direction of the second wound body; If it is determined that the continuous positions of the first end face and the second end face indicated by the first set of data and the second set of data are parallel to a reference line, and the continuous positions of the third end face and the fourth end face indicated by the third set of data and the fourth set of data are inclined from the reference line, the second wound body is defective, and information indicating that the cause of the defect is the second winding core is output to a display device for maintenance; and When it is judged that the first difference between the first defective rate of the second winding body before the second core is maintained and the second defective rate of the second winding body after the second core is maintained is less than a given value, the third set of data and the fourth set of data read before the second core is maintained are not used to generate the learned model. On the other hand, when it is judged that the first difference is greater than the given value, the third set of data and the fourth set of data read before the second core is maintained are used to generate the learned model.

23. A program product comprising a program executed by a computer, the program generating a learned model for maintenance of a winding device, the winding device comprising: a first supply mechanism for supplying a first electrode sheet; a second supply mechanism for supplying a second electrode sheet; a first laminating roller, disposed on the first electrode sheet side; a second laminating roller, provided on the second electrode sheet side, and forming a pair with the first laminating roller to laminate the first electrode sheet and the second electrode sheet; Volume 1; Volume 2 core; a driving mechanism for moving the first winding core to a predetermined winding position, winding the first electrode sheet and the second electrode sheet in an overlapping manner on the first winding core, and moving the second winding core to the predetermined winding position, winding the first electrode sheet and the second electrode sheet in an overlapping manner on the second winding core; and The sensor reads the first end face of the first electrode sheet and the second end face of the second electrode sheet along the radial direction of the first winding body in which the first electrode sheet and the second electrode sheet are wound in a plurality of overlapping turns on the first winding core, and reads the third end face of the first electrode sheet and the fourth end face of the second electrode sheet along the radial direction of the second winding body in which the first electrode sheet and the second electrode sheet are wound in a plurality of overlapping turns on the second winding core. The program causes the computer to execute the following process: Acquiring from the sensor a first set of data indicating the position of the first end face read along the radial direction of the first wound body, a second set of data indicating the position of the second end face read along the radial direction of the first wound body, a third set of data indicating the position of the third end face read along the radial direction of the second wound body, and a fourth set of data indicating the position of the fourth end face read along the radial direction of the second wound body; If it is determined that the continuous positions of the first end face and the second end face indicated by the first set of data and the second set of data are parallel to a reference line, and the continuous positions of the third end face and the fourth end face indicated by the third set of data and the fourth set of data are inclined from the reference line, the second wound body is defective, and information indicating that the cause of the defect is the second winding core is output to a display device for maintenance; and In a case where it is judged based on the third set of data and the fourth set of data before and after the second core is maintained that the second defective rate of the second winding body after the second core is maintained is greater than a given value, the third set of data and the fourth set of data read before the second core is maintained are not used to generate the learned model. On the other hand, in a case where it is judged that the second defective rate is less than the given value, the third set of data and the fourth set of data read before the second core is maintained are used to generate the learned model.

24. A program product comprising a program executed by a computer, the program generating a learned model for maintenance of a winding device, the winding device comprising: a first supply mechanism for supplying a first electrode sheet; a second supply mechanism for supplying a second electrode sheet; a first laminating roller, disposed on the first electrode sheet side; a second laminating roller, provided on the second electrode sheet side, and forming a pair with the first laminating roller to laminate the first electrode sheet and the second electrode sheet; Volume 1; Volume 2 core; a driving mechanism for moving the first winding core to a predetermined winding position, winding the first electrode sheet and the second electrode sheet in an overlapping manner on the first winding core, and moving the second winding core to the predetermined winding position, winding the first electrode sheet and the second electrode sheet in an overlapping manner on the second winding core; and The sensor reads the first end face of the first electrode sheet and the second end face of the second electrode sheet along the radial direction of the first winding body in which the first electrode sheet and the second electrode sheet are wound in a plurality of overlapping turns on the first winding core, and reads the third end face of the first electrode sheet and the fourth end face of the second electrode sheet along the radial direction of the second winding body in which the first electrode sheet and the second electrode sheet are wound in a plurality of overlapping turns on the second winding core. The program causes the computer to execute the following process: Acquiring from the sensor a first set of data indicating the position of the first end face read along the radial direction of the first wound body, a second set of data indicating the position of the second end face read along the radial direction of the first wound body, a third set of data indicating the position of the third end face read along the radial direction of the second wound body, and a fourth set of data indicating the position of the fourth end face read along the radial direction of the second wound body; generating a learned model for determining that the cause of the defect of the second wound body is the second winding core, when the continuous positions of the first end face and the continuous positions of the second end face represented by the first set of data and the second set of data are parallel to a reference line, and the continuous positions of the third end face and the continuous positions of the fourth end face represented by the third set of data and the fourth set of data are inclined from the reference line; Based on the determination using the learned model, information indicating that the cause of the failure is the second winding core is output to a display device for maintenance; and When it is judged that the first difference between the first probability of improvement of the defect of the second winding body obtained by inputting the third set of data and the fourth set of data before the second core is maintained into the learned model and the second probability of improvement of the defect of the second winding body obtained by inputting the third set of data and the fourth set of data after the second core is maintained into the learned model is less than a given value, the third set of data and the fourth set of data read before the second core is maintained are not used to update the learned model. On the other hand, when it is judged that the first difference is greater than the given value, the third set of data and the fourth set of data before the second core is maintained are used to update the learned model.

25. A program product comprising a program executed by a computer, the program generating a learned model for maintenance of a winding device, the winding device comprising: a first supply mechanism for supplying a first electrode sheet; a second supply mechanism for supplying a second electrode sheet; a first laminating roller, disposed on the first electrode sheet side; a second laminating roller, provided on the second electrode sheet side, and forming a pair with the first laminating roller to laminate the first electrode sheet and the second electrode sheet; Volume 1; Volume 2 core; a driving mechanism for moving the first winding core to a predetermined winding position, winding the first electrode sheet and the second electrode sheet in an overlapping manner on the first winding core, and moving the second winding core to the predetermined winding position, winding the first electrode sheet and the second electrode sheet in an overlapping manner on the second winding core; and The sensor reads the first end face of the first electrode sheet and the second end face of the second electrode sheet along the radial direction of the first winding body in which the first electrode sheet and the second electrode sheet are wound in a plurality of overlapping turns on the first winding core, and reads the third end face of the first electrode sheet and the fourth end face of the second electrode sheet along the radial direction of the second winding body in which the first electrode sheet and the second electrode sheet are wound in a plurality of overlapping turns on the second winding core. The program causes the computer to execute the following process: Acquiring from the sensor a first set of data indicating the position of the first end face read along the radial direction of the first wound body, a second set of data indicating the position of the second end face read along the radial direction of the first wound body, a third set of data indicating the position of the third end face read along the radial direction of the second wound body, and a fourth set of data indicating the position of the fourth end face read along the radial direction of the second wound body; generating a learned model for determining that the cause of the defect of the second wound body is the second winding core, when the continuous positions of the first end face and the continuous positions of the second end face represented by the first set of data and the second set of data are parallel to a reference line, and the continuous positions of the third end face and the continuous positions of the fourth end face represented by the third set of data and the fourth set of data are inclined from the reference line; Based on the determination using the learned model, information indicating that the cause of the failure is the second winding core is output to a display device for maintenance; and When it is judged that the second probability of improvement of the defect of the second winding body obtained by inputting the third set of data and the fourth set of data after the second core is maintained into the learned model is greater than a given value, the third set of data and the fourth set of data read before the second core is maintained are not used to update the learned model. On the other hand, when it is judged that the second probability is less than the given value, the third set of data and the fourth set of data before the second core is maintained are used to update the learned model.

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