IP Library › Granted Patent US 12,315,134
Granted Patent B2
US 12,315,134 · App. 17/432,340 · Granted May 27, 2025

Reinforced concrete structure evaluating device, method, and program

Inventors: Hideaki Morita (Tokyo, JP); Yoko Taki (Tokyo, JP); Yukio Ozawa (Tokyo, JP)
Assignee: GEO SEARCH CO., LTD.
G06T7/001G01N33/383G06T2207/30184
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 12,315,134
App. No.
17/432,340
Granted
May 27, 2025
Kind
B2
Abstract

An acquisition section ( 12 ) acquires a reflected wave intensity image in which a reflected wave intensity of an electromagnetic wave that has been radiated in a direction through a surface of a reinforced concrete structure toward an interior of the reinforced concrete structure at respective positions on the surface of the reinforced concrete structure is expressed by pixel values of pixels corresponding to each of the respective positions. A setting section ( 14 ) sets an evaluation target range in the acquired reflected wave intensity image. A computation section ( 16 ) computes a statistical indicator of a type set according to the set range for pixel values in the reflected wave intensity image. An evaluation section ( 18 ) evaluates a degree of deterioration of the reinforced concrete structure using the computed values.

Claims (28)

1. A reinforced concrete structure evaluation device, comprising:

an acquisition section configured to acquire an image in which a reflected wave intensity, of an electromagnetic wave that has been radiated in a direction through a surface of a reinforced concrete structure toward an interior of the reinforced concrete structure at respective positions on the surface of the reinforced concrete structure, is expressed by pixel values of pixels corresponding to each of the respective positions;

a setting section configured to set an evaluation target range in the image acquired by the acquisition section;

a computation section configured to compute a statistical property of the pixel values of the pixels in the evaluation target range, set by the setting section; and

an evaluation section configured to evaluate a degree of deterioration of the reinforced concrete structure using the statistical property computed by the computation section.

2. The reinforced concrete structure evaluation device of claim 1 , wherein:

the setting section is configured to set a range including a region at which the presence of steel reinforcement is indicated and a region at which the presence of steel reinforcement is not indicated in the image acquired by the acquisition section; and

the computation section is configured to compute, as the statistical property, a value representing a variation in pixel values in the range.

3. The reinforced concrete structure evaluation device of claim 2 , wherein, in a case in which the setting section sets the range for a plurality of locations in the image, the setting section sets a plurality of ranges such that the region at which the presence of steel reinforcement is indicated and the region at which the presence of steel reinforcement is not indicated are uniformly proportionate to each other in each of the plurality of ranges.

4. The reinforced concrete structure evaluation device of claim 2 , wherein the setting section is configured to set, in the image, a plurality of ranges in a grid pattern, with one side of the grid pattern aligned with a direction along the region at which the presence of steel reinforcement is indicated.

5. The reinforced concrete structure evaluation device of claim 4 , wherein the setting section is configured to set an interval between respective single sides of the ranges in the grid pattern so as to be equal to an interval between the regions at which the presence of steel reinforcement is indicated.

6. A reinforced concrete structure evaluation device comprising:

an acquisition section configured to acquire an image in which a reflected wave intensity, of an electromagnetic wave that has been radiated in a direction through a surface of a reinforced concrete structure toward an interior of the reinforced concrete structure at respective positions on the surface of the reinforced concrete structure, is expressed by pixel values of pixels corresponding to each of the respective positions;

a setting section configured to set an evaluation target range in the image acquired by the acquisition section;

a computation section configured to compute a statistical indicator, of a type corresponding to the range set by the setting section, for pixel values in the image; and

an evaluation section configured to evaluate a degree of deterioration of the reinforced concrete structure using values computed by the computation section;

wherein:

the setting section is configured to set a range deemed to include only a region at which the presence of steel reinforcement is indicated, or a range deemed to include only a region at which the presence of steel reinforcement is not indicated, in the image acquired by the acquisition section; and

the computation section is configured to compute, as the statistical property, a value representing a variation in pixel values in the range and an average value of the pixel values.

7. The reinforced concrete structure evaluation device of claim 1 , wherein the evaluation section is configured to evaluate the degree of deterioration by comparing a statistical property value computed by the computation section against a predetermined reference value.

8. The reinforced concrete structure evaluation device of claim 1 , wherein the evaluation section is configured to evaluate a change over time in the degree of deterioration by comparing against each other statistical property values computed by the computation section for each of a plurality of images acquired over time for a single location on the reinforced concrete structure.

9. The reinforced concrete structure evaluation device of claim 1 , wherein the evaluation section is configured to evaluate the degree of deterioration by comparing against each other statistical property values computed by the computation section for each of a plurality of images acquired for different locations on the reinforced concrete structure.

10. A reinforced concrete structure evaluation method, comprising:

with an acquisition section, acquiring an image in which a reflected wave intensity, of an electromagnetic wave that has been radiated in a direction through a surface of a reinforced concrete structure toward an interior of the reinforced concrete structure at respective positions on the surface of the reinforced concrete structure, is expressed by pixel values of pixels corresponding to each of the respective positions;

with a setting section, setting an evaluation target range in the image acquired by the acquisition section;

with a computation section, computing a statistical property of the pixel values of the pixels in the evaluation target range set by the setting section; and

with an evaluation section, evaluating a degree of deterioration of the reinforced concrete structure using statistical property values computed by the computation section.

11. A non-transitory recording medium storing a reinforced concrete structure evaluation program, configured to cause a computer to function as the respective sections configuring the reinforced concrete structure evaluation device of claim 10 .

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 19, 2021
From: MORITA, HIDEAKI; TAKI, YOKO; OZAWA, YUKIO
To: GEO SEARCH CO., LTD.
Reel/Frame 057232/0439 →
Priority Claims (1)
JP 2019-033202 · Feb 26, 2019 · national
Continuity (1)
Related Publication 20220230290A1 · Jul 21, 2022
References Cited (20)
US 6429802B1 · Roberts · 2002 [cited by examiner]
US 6772091B1 · Roberts · 2004 [cited by examiner]
US 7075315B2 · Tanaka · 2006 [cited by examiner]
US 10175350B1 · Tsokos et al. · 2019 [cited by applicant]
US 10794990B2 · Takamine · 2020 [cited by examiner]
US 20120280849A1 · Chang · 2012 [cited by examiner]
US 20150115980A1 · Bulumulla · 2015 [cited by examiner]
US 20170269204A1 · Takamine et al. · 2017 [cited by applicant]
US 20200284576A1 · Chaudhury · 2020 [cited by examiner]
US 20230366870A1 · Luloff · 2023 [cited by examiner]
CN 107063988A · 2017 [cited by applicant]
CN 108076657A · 2018 [cited by applicant]
JP 2001165870A · 2001 [cited by applicant]
JP 2012184624A · 2012 [cited by applicant]
JP 2015215332A · 2015 [cited by applicant]
JP 6261797B1 · 2018 [cited by applicant]
JP 2018004598A · 2018 [cited by applicant]
JP 2019033202A · 2019 [cited by applicant]
International Search Report and Written Opinion for Application No. PCT/JP2020/007648, dated May 26, 2020. [cited by applicant]
Office Action for Taiwan Application, dated Aug. 23, 2023. [cited by applicant]