Information processing method, non-transitory computer-readable storage medium, information processing device, and model generation method

Patent metadata

Field	Value
Publication number	US-2024159708-A1
Application number	US-202218282301-A
Country	US
Kind code	A1
Filing date	Mar 8, 2022
Priority date	Mar 16, 2021
Publication date	May 16, 2024
Grant date	—

Abstract

Provided is an information processing method and the like which are capable of appropriately estimating a state of a magnetic tube. In the information processing method, a computer executes processing of acquiring measurement data obtained by measuring magnetic characteristic values of a magnetic tube, and processing of estimating wall thickness information by inputting the acquired measurement data to a model trained for estimating the wall thickness information relating to the wall thickness of the magnetic tube in a case where the measurement data is input. Preferably, the magnetic characteristic values are measurement values measured by using an inspection probe including a magnet that generates a magnetic field, a yoke that is disposed on an opposite side of the magnetic tube with respect to the magnet, and a magnetic sensor that is disposed between the yoke and the magnetic tube and measures a magnetic flux density passing through the yoke, the magnet, and the magnetic tube, and is an output voltage of the magnetic sensor that becomes lower as the magnetic flux density is larger.

First claim

1 .- 35 . (canceled)

36 . An information processing method in which a computer executes:
processing of acquiring measurement data obtained by measuring magnetic characteristic values of a magnetic tube; and processing of estimating wall thickness information by inputting the acquired measurement data to a model trained for estimating the wall thickness information relating to the wall thickness of the magnetic tube in a case where the measurement data is input.

37 . The information processing method according to claim 36 ,
wherein the magnetic characteristic values are measurement values measured by using an inspection probe including a magnet that generates a magnetic field, a yoke that is disposed on an opposite side of the magnetic tube with respect to the magnet, and a magnetic sensor that is disposed between the yoke and the magnetic tube and measures a magnetic flux density passing through the yoke, the magnet, and the magnetic tube, and is an output voltage of the magnetic sensor which is proportional to the magnetic flux density.

38 . The information processing method according to claim 37 ,
wherein the measurement data is data obtained by measuring the magnetic characteristic values at respective positions where a cross-section of the magnetic tube is equally divided along a peripheral direction at respective positions of the magnetic tube having a cylindrical shape along a longitudinal direction by using the inspection probe in which the magnet and the magnetic sensor are periodically attached onto an outer periphery of the yoke, the magnetic characteristic values are normalized so that the magnetic characteristic values at the outside of the magnetic tube match each other at all positions along the peripheral direction, and the magnetic characteristic values at sound portions of the magnetic tube where thickness reduction does not occur match each other at all positions along the peripheral direction, and the measurement data obtained by normalizing the magnetic characteristic values is input to the model to estimate the wall thickness information.

39 . The information processing method according to claim 38 ,
wherein the measurement data is data obtained by measuring the magnetic characteristic values at the respective positions where the cross-section of the magnetic tube having a cylindrical shape is equally divided along the peripheral direction by using the inspection probe in which the magnet and the magnetic sensor are periodically attached onto an outer periphery of the yoke, the magnetic characteristic values at the respective positions are corrected to values in a case where the inspection probe passes a central axis of the magnetic tube, and the measurement data in which the magnetic characteristic values are corrected is input to the model to estimate the wall thickness information at the respective positions.

40 . The information processing method according to claim 37 ,
wherein the measurement data is data obtained by measuring the magnetic characteristic values at respective positions where a cross-section of the magnetic tube is equally divided along a peripheral direction at respective positions of the magnetic tube having a cylindrical shape along a longitudinal direction by using the inspection probe in which the magnet and the magnetic sensor are periodically attached onto an outer periphery of the yoke, an average value, a standard deviation, the degree of distortion, or kurtosis of the magnetic characteristic values along the longitudinal direction or the peripheral direction is calculated from the magnetic characteristic values at the respective positions in the longitudinal direction or the peripheral direction, and the measurement data to which the average value, the standard deviation, the degree of distortion, or the kurtosis is added is input to the model to estimate the wall thickness information.

41 . The information processing method according to claim 36 ,
wherein the measurement data is data obtained by measuring the magnetic characteristic values at respective positions of the magnetic tube along a longitudinal direction, and the measurement data is input to the model to estimate the wall thickness information of respective portions obtained by partitioning the magnetic tube for a certain length along the longitudinal direction.

42 . The information processing method according to claim 41 ,
wherein a moving average of the magnetic characteristic values along the longitudinal direction is taken to specify a base line of the measurement data, data of a peak portion where a difference between the base line and the magnetic characteristic values is equal to or more than a predetermined threshold value is extracted from the measurement data, and the extracted data of the peak portion is input to the model to estimate the wall thickness information of the peak portion.

43 . The information processing method according to claim 42 ,
wherein data of respective data sections obtained by slightly shifting data sections having a predetermined length along the longitudinal direction is extracted from the measurement data, and the extracted data of the respective data sections is input to the model to estimate the wall thickness information of the peak portion.

44 . The information processing method according to claim 36 ,
wherein the measurement data is data obtained by measuring the magnetic characteristic values at respective positions on a cross-section orthogonal to the longitudinal direction at respective positions of the magnetic tube along the longitudinal direction, the measurement data is converted into an image in which a first axis of the image is set to a position along the longitudinal direction, a second axis of the image is set to a position on the cross-section, and pixel values of respective pixels are allocated in correspondence with the magnetic characteristic values at respective positions of the magnetic tube, and the image is input to the model to estimate the wall thickness information.

45 . The information processing method according to claim 44 ,
wherein a plurality of hue images in which exponentiation values of a plurality of patterns of magnetic characteristic values which are different each other in an exponent are allocated to hues different from each other are generated from the measurement data, a synthetic image obtained by synthesizing the plurality of hue images is generated, and the generated synthetic image is input to the model to estimate the wall thickness information.

46 . The information processing method according to claim 36 ,
wherein magnetic tube information relating to the magnetic tube that is a measurement target in the measurement data is acquired, a model corresponding to the acquired magnetic tube information is selected among a plurality of the models trained by a plurality of pieces of different training data in correspondence with the magnetic tube information, and the measurement data is input to the selected model to estimate the wall thickness information.

47 . The information processing method according to claim 36 ,
wherein the models include a first model trained mainly based on the measurement data and wall thickness information in which a residual wall thickness of the magnetic tube is smaller than a predetermined value, a second model trained mainly based on the measurement data and wall thickness information in which the residual wall thickness of the magnetic tube is larger than the predetermined value, and a third model trained to output wall thickness information in a case where the wall thickness information outp

Assignees

• Sumitomo Chemical Co

Inventors

• Yoshida Nobuyuki
• Tada Toyokazu

Classifications

• G01N27/83 Primary

  by investigating stray magnetic fields · CPC title

• G01N27/902

  by moving the sensors · CPC title

• G01B7/107 Primary

  for measuring objects while moving (G01B7/105 takes precedence) · CPC title

• G01B7/10 Primary

  using magnetic means, e.g. by measuring change of reluctance · CPC title

• G06N3/08

  Learning methods · CPC title