IP Library Granted Patent US 11,511,554
Granted Patent B2
US 11,511,554 · App. 16/697,325 · Granted Nov 29, 2022

Learning device, fibrous feedstock recycling apparatus, learning method, and storage medium that stably transports transport target matter

Inventors: Takao Mikoshiba (Shiojiri, JP); Keita Komatsu (Matsumoto, JP)
Assignee: SEIKO EPSON CORPORATION
B41J15/046B21C47/003D21F3/08D21F7/006G01B11/06G05B13/0265G06N20/00
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Quick Facts
Patent No.
US 11,511,554
App. No.
16/697,325
Granted
Nov 29, 2022
Kind
B2
Abstract

A control device using, as a learning target, a transporting apparatus, a rotation control section which controls at least one of a rotation speed of a first roller and a rotation speed of a second roller, and a position detection section which detects a position of the transport target matter, the control device including a state variable acquisition section which acquires a state variable and a detection result of the position detection section, the state variable being based on information of a state of the transport target matter and information of an environment to which the transport target matter is exposed, and a learning section which learns a control expression for calculating a control value of the rotation control section based on a dataset containing the state variable acquired by the state variable acquisition section and the detection result of the position detection section.

Claims (51)

1. A learning device using, as a learning target, a transporting apparatus provided with a first roller which transports web-like or sheet-like transport target matter and a second roller disposed downstream of the first roller in a transport path of the transport target matter, a rotation control section which controls at least one of a rotation speed of the first roller and a rotation speed of the second roller, and a position detection section which detects a position of the transport target matter in a direction intersecting the transport path between the first roller and the second roller, the learning device comprising:

a state variable acquisition section which acquires a state variable and a detection result of the position detection section, the state variable being based on information of a state of the transport target matter and information of an environment to which the transport target matter is exposed; and

a learning section which learns an operational expression for calculating a control value of the rotation control section based on a dataset containing the state variable acquired by the state variable acquisition section and the detection result of the position detection section.

2. The learning device according to claim 1 , further comprising:

an evaluation section which evaluates a transporting state of the transport target matter based on a detection result of the position detection section, wherein

the learning section performs learning using the dataset containing an evaluation result of the evaluation section.

3. The learning device according to claim 1 , further comprising:

a communication section which communicates with the transporting apparatus, wherein

the state variable acquisition section acquires the state variable and the detection result of the position detection section from information received by the communication section.

4. The learning device according to claim 1 , wherein

the state variable acquisition section acquires information relating to a humidity to which the transport target matter is exposed as the state variable.

5. The learning device according to claim 1 , wherein

the state variable acquisition section acquires information relating to a temperature to which the transport target matter is exposed as the state variable.

6. The learning device according to claim 1 , wherein

the operational expression is an expression for calculating the control value relating to the rotation speed of the second roller.

7. A fibrous feedstock recycling apparatus comprising:

a web forming section which forms a web from a feedstock containing fibers;

a web transport section which transports the web formed by the web forming section; and

a control section, wherein

the web transport section includes

a first roller which transports the web and a second roller disposed downstream of the first roller in a transport path of the web, and

a position detection section which detects a position of the web in a direction intersecting the transport path between the first roller and the second roller,

the control section includes

a rotation control section which controls at least one of a rotation speed of the first roller and a rotation speed of the second roller,

a state variable acquisition section which acquires a state variable relating to a state of at least one of the web forming section and the web transport section, and

a learning section which learns an operational expression for calculating a control value of the rotation control section based on a dataset containing the state variable acquired by the state variable acquisition section and a detection result of the position detection section, and

the control section controls at least one of the first roller and the second roller using the rotation control section based on the control value calculated based on the operational expression.

8. The fibrous feedstock recycling apparatus according to claim 7 , wherein

the control value relating to the rotation speed of the second roller is calculated based on the operational expression.

9. The fibrous feedstock recycling apparatus according to claim 7 , wherein

the position detection section includes a proximity sensor installed between the first roller and the second roller or an encoder.

10. The fibrous feedstock recycling apparatus according to claim 7 , wherein

the state variable acquisition section acquires a humidity of the transport path as the state variable.

11. The fibrous feedstock recycling apparatus according to claim 7 , wherein

the state variable acquisition section acquires a temperature of the transport path as the state variable.

12. The fibrous feedstock recycling apparatus according to claim 7 , further comprising:

a pressure sensor which detects a pressure of exhaust that carries the feedstock, wherein

the state variable acquisition section acquires a detection value of the pressure sensor as the state variable.

13. The fibrous feedstock recycling apparatus according to claim 7 , wherein

the web forming section is provided with a hollow sieve portion which sieves a material containing fibers, an accumulating section which accumulates the material sieved by the sieve portion, and an ultrasonic wave sensor which detects the material in an inner portion of the sieve portion, and

the state variable acquisition section acquires a detection value of the ultrasonic wave sensor as the state variable.

14. The fibrous feedstock recycling apparatus according to claim 7 , wherein

the web forming section is provided with a thickness measuring section which measures a thickness of the web, and

the state variable acquisition section acquires a measurement value of the thickness measuring section as the state variable.

15. A learning method using, as a learning target, a transporting apparatus provided with a first roller which transports web-like or sheet-like transport target matter and a second roller disposed downstream of the first roller in a transport path of the transport target matter, in which the transporting apparatus controls a rotation speed of the first roller and a rotation speed of the second roller, the method comprising:

detecting a position of the transport target matter in a direction intersecting the transport path between the first roller and the second roller;

acquiring a state variable which changes a state of the transport target matter; and

learning an operational expression for calculating a control value of the rotation speeds of the first roller and the second roller based on a dataset containing the detected position of the transport target matter between the first roller and the second roller and the state variable.

16. A non-transitory computer-readable storage medium storing a program configured to be executed by a computer which is provided with a first roller which transports web-like or sheet-like transport target matter and a second roller disposed downstream of the first roller in a transport path of the transport target matter, and which controls a rotation speed of the first roller and a rotation speed of the second roller, the program comprising:

an operational expression for calculating a control value of the rotation speeds of the first roller and the second roller, the operational expression being learned based on a dataset containing a position of the transport target matter in a direction intersecting the transport path detected between the first roller and the second roller and a state variable which changes a state of the transport target matter; and

controlling the rotation speeds of the first roller and the second roller based on the control value calculated based on the operational expression.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 27, 2019
From: MIKOSHIBA, TAKAO; KOMATSU, KEITA
To: SEIKO EPSON CORPORATION
Reel/Frame 051126/0434 →
Priority Claims (1)
JP JP2018-222341 · Nov 28, 2018 · national
Continuity (1)
Related Publication 20200165092A1 · May 28, 2020
Cited By (1)
US 12,282,864