Data generation method and data generation apparatus

US2016109332A1 · US · A1

Patent metadata
FieldValue
Publication numberUS-2016109332-A1
Application numberUS-201414894886-A
CountryUS
Kind codeA1
Filing dateJul 14, 2014
Priority dateAug 7, 2013
Publication dateApr 21, 2016
Grant date

How to read this patent

A practical reading order for non-experts. Skip the full description unless you need deep technical detail.

  1. Title

    What the patent document calls the invention.

  2. Abstract

    A short plain-language summary of the technical disclosure.

  3. Assignees and inventors

    Who owns or filed the patent and who is credited as inventor.

  4. Key dates

    Filing, priority, publication, and grant dates set the timeline.

  5. First independent claim

    The legal scope of protection — read this for what is actually claimed.

  6. CPC / IPC classifications

    Technology tags used to group this patent with similar filings.

  7. Citations and related patents

    Prior art links and similar publications in this corpus.

Abstract

Official abstract text for this publication.

A candidate extraction unit ( 322 ) executes candidate extraction processing wherein a fixed number of consecutive height data items are extracted from one line of height data using a certain sample point as the starting point, the median for the extracted height data items and the difference therefrom for each extracted height data item are calculated, and sample points with a difference that is at least a height threshold are extracted as singular point candidates. An interpolation unit ( 323 ) determines, to be a singular point, a singular point candidate having a number of consecutive repetitions that is less than a width threshold, deletes the height data for the determined singular point, interpolates the deleted height data using height data for sample points which are adjacent to and other than such singular point, and generates shape data for evaluating runout and bulge/dent.

First claim

Opening claim text (preview).

1 . A data generation method for selecting one of the tread surface and the side wall surface of a tire as a surface to be measured and generating shape data used to evaluate a bulge/dent and a runout formed on the surface to be measured, comprising: the data acquiring step of scanning the surface to be measured using a shape sensor at a predetermined sampling period and acquiring height data items for one line; the candidate extraction step of providing a candidate extraction process to retrieve, from among the height data items for one line, a given number of consecutive height data items starting from a given sample point, calculate a difference between the median of the retrieved height data items and each of the retrieved height data items, and extract, as candidates of a singular point, the sample points each having the difference that is greater than or equal to a height threshold value and performing the candidate extraction process for the entire region of the height data items for one line while shifting the starting point; and the interpolation step of selecting, from among the candidates of a singular point, the candidates of a singular point that satisfy predetermined conditions as singular points, removing the selected singular points from the height data items, interpolating the height data items at the removed singular points using the height data items at the sample points that are neighbors of the singular point and that are not singular points, and generating the shape data, wherein the height threshold value is a predetermined value that is greater than or equal to the product of the largest slope of the bulge/dent calculated from pre-generated model data representing the shape of the bulge/dent and half a width corresponding to the given number. 2 . The data generation method according to claim 1 , wherein the shape sensor is a non-contact displacement meter, and wherein the singular points include a sample point indicating a burr and a spew of the tire and an unmeasurable point of the non-contact displacement meter. 3 . The data generation method according to claim 1 , wherein in the interpolation step, the consecutive candidates of a singular point equal in number to a width threshold value or less are determined to be the singular points. 4 . The data generation method according to claim 1 , wherein the model data is generated by fitting a normal distribution function to actually measured height and width of the bulge/dent, and the largest slope is obtained by differentiating the normal distribution function. 5 . A data generation apparatus for selecting one of the tread surface and the side wall surface of a tire as a surface to be measured and generating shape data used to evaluate a bulge/dent and a runout formed on the surface to be measured, comprising: a shape sensor; a height data acquiring unit configured to scan the surface to be measured using the shape sensor at a predetermined sampling period and acquire height data items for one line; a candidate extraction unit configured to provide a candidate extraction process to retrieve, from among the height data items for one line, a given number of consecutive height data items starting from a given sample point, calculate a difference between the median of the retrieved height data items and each of the retrieved height data items, and extract, as candidates of a singular point, the sample points each having the difference that is greater than or equal to a height threshold value and perform the candidate extraction process for the entire region of the height data items for one line while shifting the starting point; and an interpolation unit configured to select, from among the candidates of a singular point, the candidates of a singular point that satisfy predetermined conditions as singular points, remove the selected singular points from the height data items, interpolate the height data items at the removed singular points using the height data items at the sample points that are neighbors of the singular point and that are not singular points, and generate the shape data, wherein the height threshold value is a predetermined value that is greater than or equal to the product of the largest slope of the bulge/dent calculated from pre-generated model data representing the shape of the bulge/dent and half a width corresponding to the given number.

Assignees

Inventors

Classifications

  • G01M17/027Primary

    using light, e.g. infrared, ultraviolet or holographic techniques · CPC title

  • the position of the object changing and being recorded · CPC title

  • Computer aided tyre design or simulation · CPC title

  • for measuring contours or curvatures · CPC title

Patent family

Related publications grouped by family.

External sources

Frequently asked questions

Answers are generated from the same data shown on this page.

What does patent US2016109332A1 cover?
A candidate extraction unit ( 322 ) executes candidate extraction processing wherein a fixed number of consecutive height data items are extracted from one line of height data using a certain sample point as the starting point, the median for the extracted height data items and the difference therefrom for each extracted height data item are calculated, and sample points with a difference that …
Who is the assignee on this patent?
Kobe Steel Ltd
What technology area does this patent fall under?
Primary CPC classification G01M17/027. Mapped technology areas include Physics.
When was this patent published?
Publication date Thu Apr 21 2016 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 1 related publication on this page (citations in our corpus or others sharing the same primary CPC).