Display method and learned model generation method
View Patent ↗First data indicating a position of a first end surface of a first sheet material and second data indicating a position of a second end surface of a second sheet material are acquired from an inspection machine, and information indicating that a winding body has a defect and a cause of the defect is any of a plurality of winding cores is output to a display for maintenance in a case where continuous positions of the first end surface indicated by the first data and continuous positions of the second end surface indicated by the second data are tilted with respect to reference lines.
1. A learned model generation method of generating a learned model for maintenance of a winding apparatus including
a first supply mechanism that supplies a first electrode sheet,
a second supply mechanism that supplies a second electrode sheet,
a first bonding roller that is provided for the first electrode sheet,
a second bonding roller that is provided for the second electrode sheet, and is paired with the first bonding roller to bond the first electrode sheet and the second electrode sheet to each other,
a first winding core,
a second winding core,
a drive mechanism that moves the first winding core to a predetermined winding position, winds the first electrode sheet and the second electrode sheet on the first winding core in an overlapping manner, moves the second winding core to the predetermined winding position, and winds the first electrode sheet and the second electrode sheet on the second winding core in an overlapping manner, and
a sensor that reads a first end surface of the first electrode sheet and a second end surface of the second electrode sheet along a radial direction of a first winding body in which the first electrode sheet and the second electrode sheet are wound on the first winding core a plurality of times in an overlapping manner, and reads a third end surface of the first electrode sheet and a fourth end surface of the second electrode sheet along a radial direction of a second winding body in which the first electrode sheet and the second electrode sheet are wound on the second winding core a plurality of times in an overlapping manner, the learned model generation method comprising:
acquiring, from the sensor, first group data indicating a position of the first end surface read along the radial direction of the first winding body, second group data indicating a position of the second end surface read along the radial direction of the first winding body, third group data indicating a position of the third end surface read along the radial direction of the second winding body, and fourth group data indicating a position of the fourth end surface read along the radial direction of the second winding body;
determining that the second winding body has a defect and a cause of the defect is the second winding core in a case where continuous positions of the first end surface and continuous positions of the second end surface indicated by the first group data and the second group data are represented as being parallel to reference lines, and continuous positions of the third end surface and continuous positions of the fourth end surface indicated by the third group data and the fourth group data are represented as being tilted with respect to the reference lines;
outputting information indicating that the cause of the defect is the second winding core to a display device; and
determining that maintenance work is not effective in a case where it is determined that a first difference between a first defect ratio of winding bodies including the first winding body and the second winding body before the second winding core is maintained and a second defect ratio of the winding bodies after the second winding core is maintained is less than a predetermined value, and generating the learned model by using the third group data and the fourth group data read before the second winding core is maintained in a case where it is determined that the first difference is greater than or equal to the predetermined value.
2. The learned model generation method of claim 1 ,
wherein the first electrode sheet is a positive electrode sheet of a battery, and the second electrode sheet is a negative electrode sheet of the battery.
3. The learned model generation method of claim 1 ,
wherein the first electrode sheet is a negative electrode sheet of a battery, and the second electrode sheet is a positive electrode sheet of the battery.
4. A learned model generation method of generating a learned model for maintenance of a winding apparatus including
a first supply mechanism that supplies a first electrode sheet,
a second supply mechanism that supplies a second electrode sheet,
a first bonding roller that is provided for the first electrode sheet,
a second bonding roller that is provided for the second electrode sheet, and is paired with the first bonding roller to bond the first electrode sheet and the second electrode sheet to each other,
a first winding core,
a second winding core,
a drive mechanism that moves the first winding core to a predetermined winding position, winds the first electrode sheet and the second electrode sheet on the first winding core in an overlapping manner, moves the second winding core to the predetermined winding position, and winds the first electrode sheet and the second electrode sheet on the second winding core in an overlapping manner, and
a sensor that reads a first end surface of the first electrode sheet and a second end surface of the second electrode sheet along a radial direction of a first winding body in which the first electrode sheet and the second electrode sheet are wound on the first winding core a plurality of times in an overlapping manner, and reads a third end surface of the first electrode sheet and a fourth end surface of the second electrode sheet along a radial direction of a second winding body in which the first electrode sheet and the second electrode sheet are wound on the second winding core a plurality of times in an overlapping manner, the learned model generation method comprising:
acquiring, from the sensor, first group data indicating a position of the first end surface read along the radial direction of the first winding body, second group data indicating a position of the second end surface read along the radial direction of the first winding body, third group data indicating a position of the third end surface read along the radial direction of the second winding body, and fourth group data indicating a position of the fourth end surface read along the radial direction of the second winding body;
determining that the second winding body has a defect and a cause of the defect is the second winding core in a case where continuous positions of the first end surface and continuous positions of the second end surface indicated by the first group data and the second group data are represented as being parallel to reference lines, and continuous positions of the third end surface and continuous positions of the fourth end surface indicated by the third group data and the fourth group data are represented as being tilted with respect to the reference lines;
outputting information indicating that the cause of the defect is the second winding core to a display device; and
generating the learned model by using the third group data and the fourth group data read before the second winding core is maintained in a case where it is determined that a second defect ratio of winding bodies including the first winding body and the second winding body after the second winding core is maintained is less than a predetermined value.
5. The learned model generation method of claim 4 ,
wherein the first electrode sheet is a positive electrode sheet of a battery, and the second electrode sheet is a negative electrode sheet of the battery.
6. The learned model generation method of claim 4 ,
wherein the first electrode sheet is a negative electrode sheet of a battery, and the second electrode sheet is a positive electrode sheet of the battery.