JP-7857114-B2 - Estimation method, control method, and apparatus

Inventors

• 臼本 宏昭

Assignees

• 株式会社ＳＣＲＥＥＮホールディングス

Dates

Publication Date

20260512

Application Date

20220301

Claims (7)

1. In a printing apparatus that transports a long, strip-shaped substrate and performs printing on the surface of the substrate, an estimation method is provided that outputs an estimated value based on time-series data of input values, a) A step of calculating multiple types of statistics for a predetermined number of consecutive input values included in the time series data, b) A step of inputting the multiple types of statistics into a learning model created by machine learning and outputting estimated values from the learning model, The computer executes this, The aforementioned multiple types of statistics are, The kurtosis of the aforementioned input value group and The skewness of the aforementioned group of input values, It includes at least, The aforementioned input value is a value based on the measurement of a sensor that measures the tension applied to the substrate in the transport direction. The estimation method is characterized in that the estimated value is an estimated value of the input value after a predetermined time from the reference measurement time of the input value group .
2. The estimation method according to claim 1, The aforementioned multiple types of statistics are, An estimation method further including the mean value of the aforementioned group of input values.
3. An estimation method according to claim 1 or claim 2, The aforementioned multiple types of statistics are, An estimation method further comprising the standard deviation of the aforementioned group of input values.
4. An estimation method according to any one of claims 1 to 3, The aforementioned multiple types of statistics are, An estimation method that further includes the integral value of the aforementioned group of input values.
5. An estimation method according to any one of claims 1 to 4, Step b) above is an estimation method in which the input value and the multiple types of statistics are input to the learning model.
6. A control method for controlling the operation of a printing device, x) A step of accumulating the time-series data of the input values based on the measured values of the sensors of the printing apparatus, y) A step of outputting the estimated value based on the time series data using the estimation method described in claim 1 , z) A step of controlling the operation of the printing apparatus based on the estimated value, A control method used by a computer to perform an action.
7. A printing apparatus that transports a long, strip-shaped substrate while printing on the surface of the substrate, A sensor that measures the tension applied to the substrate in the transport direction , A data storage unit that stores time-series data of input values based on the measured values output from the aforementioned sensor, An estimation unit calculates multiple types of statistics for a predetermined number of consecutive input values included in the time series data, inputs the calculated multiple types of statistics into a learning model created by machine learning, and outputs an estimated value from the learning model. Based on the estimated values, an operation control unit controls the operation of the printing device, It has, The aforementioned multiple types of statistics are, The kurtosis of the aforementioned input value group and The skewness of the aforementioned group of input values, It includes at least, The device wherein the estimated value is an estimated value of the input value after a predetermined time from the reference measurement time of the input value group .

Description

This invention relates to an estimation method that outputs an estimated value based on time-series data of input values, a control method for controlling the operation of a device, and a device. Conventionally, industrial equipment such as printing machines, semiconductor manufacturing equipment, and display manufacturing equipment constantly measures its status using sensors installed within the equipment. Furthermore, in recent years, the use of machine learning has been proposed to improve the accuracy of equipment control. Conventional techniques for controlling equipment using machine learning are described, for example, in Patent Document 1. Patent No. 6949284 This is a diagram showing the configuration of a printing device.This is a partial top view of the printing apparatus near the printing section.This is a block diagram showing the connections between the computer and the various parts of the printing device.This is a block diagram that conceptually illustrates the functions of a computer.This is a flowchart showing the learning process flow.This graph shows an example of time-series data stored in the data storage unit.This is a flowchart showing the printing process.This is the result of an experimental demonstration showing an improvement in estimation accuracy.This is the result of an experimental demonstration showing an improvement in estimation accuracy. The embodiments of the present invention will be described below with reference to the drawings. <1. Configuration of the Printing Device> Figure 1 shows the configuration of a printing apparatus 1, which is an example of the "apparatus" according to the present invention. This printing apparatus 1 is a device that prints an image on the surface of a substrate 9 by transporting a long, strip-shaped substrate 9 and ejecting ink droplets from a plurality of heads 21 to 24 toward the substrate 9. The substrate 9 may be printing paper, or a resin film. The substrate 9 may also be a metal foil or a glass substrate. As shown in Figure 1, the printing apparatus 1 includes a transport mechanism 10, a printing unit 20, a tension sensor 30, and a computer 40. The conveying mechanism 10 is a mechanism for conveying the base material 9 in a conveying direction along its longitudinal direction. The conveying mechanism 10 in this embodiment has an unwinding section 11, a plurality of conveying rollers 12, and a winding section 13. The base material 9 is unwound from the unwinding section 11 and conveyed along a conveying path formed by the plurality of conveying rollers 12. Each conveying roller 12 rotates about an axis extending perpendicular to the conveying direction, guiding the base material 9 downstream along the conveying path. The base material 9 is stretched across the plurality of conveying rollers 12 under tension. This suppresses sagging and wrinkling of the base material 9 during conveying. After conveying, the base material 9 is collected in the winding section 13. The transport mechanism 10 has a motor (not shown) that rotates some of the rollers (hereinafter referred to as "drive rollers"). The drive rollers are arranged at multiple locations along the transport path. When the printing device 1 is in operation, the motor drives multiple drive rollers to rotate. This transports the substrate 9 from the unwinding section 11 to the winding section 13. Furthermore, the transport mechanism 10 can adjust the tension applied to the substrate 9 by adjusting the rotation speed of the multiple drive rollers. The printing unit 20 is a processing unit that ejects ink droplets (hereinafter referred to as "ink droplets") onto the substrate 9 transported by the transport mechanism 10. In this embodiment, the printing unit 20 has a first head 21, a second head 22, a third head 23, and a fourth head 24. The first head 21, the second head 22, the third head 23, and the fourth head 24 are arranged at intervals along the transport direction of the substrate 9. The substrate 9 is transported below the four heads 21-24 with its printing surface facing upwards. Figure 2 is a partial top view of the printing apparatus 1 near the printing section 20. As shown by the dashed lines in Figure 2, multiple nozzles 201 are provided on the underside of each head 21-24, arranged parallel to the width direction of the substrate 9. Each head 21-24 ejects ink droplets of the respective colors—C (cyan), M (magenta), Y (yellow), and K (black)—which constitute the color components of a multi-color image, from the multiple nozzles 201 toward the upper surface of the substrate 9. Specifically, the first head 21 ejects a droplet of C-colored ink onto the upper surface of the substrate 9 at the first printing position P1 on the transport path. The second head 22 ejects a droplet of M-colored ink onto the upper surface of the substrate 9 at the second printing position P2, downstream of the first printing position P1. The third head 23 ejects a droplet of Y-colored ink onto the up