IP Library › Granted Patent US 11,935,143
Granted Patent B2
US 11,935,143 · App. 17/324,558 · Granted Mar 19, 2024

Structure repair method selection system, structure repair method selection method, and structure repair method selection server

Inventor: Shuhei Horita (Tokyo, JP)
Assignee: FUJIFILM Corporation
G06Q50/08G06F16/5866G06F18/22G06T3/4038G06T7/0002E01D22/00G06T2207/20212G06T2207/30184
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Quick Facts
Patent No.
US 11,935,143
App. No.
17/324,558
Granted
Mar 19, 2024
Kind
B2
Abstract

A structure repair method selection system includes a repair evaluation unit that obtains an evaluation score for a structure after repair, a database that has data of a captured image of the structure and the evaluation score, an image acquisition unit that acquires a captured image of a target structure to be repaired, a damage detection unit that detects damage from the captured image, a similar damage extraction unit that extracts similar damage similar to the damage by using the database, and a repair method presentation unit that presents, based on the evaluation score, repair methods used for the similar damage. Also provided are a repair method selection method that uses the structure repair method selection system, and a repair method selection server.

Claims (105)

1. A structure repair method selection system comprising:

a database that records thereon, data of a captured image of at least one structure before repair, an adopted repair method, a repair time, and inspection history of the at least one structure after repair; and

at least one processor configured to:

obtain an evaluation score for the at least one structure from the inspection history of the at least one structure after repair, and record the evaluation score on the database;

acquire a captured image of a target structure to be repaired;

acquire size information regarding an actual size of a characteristic portion of the target structure in the captured image or an actual length of the target structure;

detect damage of the target structure from the captured image and calculate a degree of the damage based on the size information;

determine a degree of similarity between the damage of the target structure and damage of the at least one structure recorded on the database, and extract one or more kinds of damage for which the degree of similarity is high as similar damage; and

present, based on the evaluation score, repair methods adopted for the kinds of similar damage as repair methods for the target structure,

wherein the at least one processor is further configured to present a repair method for which the evaluation score is higher than or equal to a predetermined score from among the repair methods, or presents the repair methods in descending order of the evaluation score.

2. The structure repair method selection system according to claim 1 , wherein the at least one processor is further configured to acquire chronological images of the target structure.

3. The structure repair method selection system according to claim 2 , wherein the at least one processor is further configured to determine the degree of similarity, based on chronological changes in a position of the damage and the degree of the damage in the chronological images, and extract the similar damage.

4. The structure repair method selection system according to claim 1 , wherein the at least one processor is further configured to weight each piece of information.

5. A structure repair method selection system comprising:

a database that records thereon, data of a captured image of at least one structure before repair, an adopted repair method, a repair time, and inspection history of the at least one structure after repair; and

at least one processor configured to:

obtain an evaluation score for the at least one structure from the inspection history of the at least one structure after repair, and record the evaluation score on the database;

acquire a captured image of a target structure to be repaired;

acquire size information regarding an actual size of a characteristic portion of the target structure in the captured image or an actual length of the target structure;

detect damage of the target structure from the captured image and calculate a degree of the damage based on the size information;

determine a degree of similarity between the damage of the target structure and damage of the at least one structure recorded on the database, and extract one or more kinds of damage for which the degree of similarity is high as similar damage; and

present, based on the evaluation score, repair methods adopted for the kinds of similar damage as repair methods for the target structure,

wherein the evaluation score is obtained from chronological changes in a damage rank, a countermeasure class, and a degree of soundness of the structure and chronological changes in a position of the damage and the degree of the damage.

6. The structure repair method selection system according to claim 5 , wherein the at least one processor is further configured to weight each piece of information.

7. A structure repair method selection system comprising:

a database that records thereon, data of a captured image of at least one structure before repair, an adopted repair method, a repair time, and inspection history of the at least one structure after repair; and

at least one processor configured to:

obtain an evaluation score for the at least one structure from the inspection history of the at least one structure after repair, and record the evaluation score on the database;

acquire a captured image of a target structure to be repaired;

acquire size information regarding an actual size of a characteristic portion of the target structure in the captured image or an actual length of the target structure;

detect damage of the target structure from the captured image and calculate a degree of the damage based on the size information;

determine a degree of similarity between the damage of the target structure and damage of the at least one structure recorded on the database, and extract one or more kinds of damage for which the degree of similarity is high as similar damage; and

present, based on the evaluation score, repair methods adopted for the kinds of similar damage as repair methods for the target structure,

wherein the database has damage information of the structure, the damage information including a type of the damage, a position of the damage, and the degree of the damage.

8. The structure repair method selection system according to claim 7 :

wherein

the database records thereon at least one or more pieces of information of a damage cause, structure information, environment information, or history information,

the at least one processor is further configured to acquire at least one or more pieces of information of a damage cause, structure information, environment information, or history information of the target structure, and

the at least one processor is further configured to determine the degree of similarity, based on the acquired at least one or more pieces of information of the damage cause, the structure information, the environment information, or the history information in addition to the damage information.

9. The structure repair method selection system according to claim 8 , wherein the at least one processor is further configured to weight each piece of information.

10. The structure repair method selection system according to claim 7 , wherein the at least one processor is further configured to weight each piece of information.

11. A structure repair method selection system comprising:

a database that records thereon, data of a captured image of at least one structure before repair, an adopted repair method, a repair time, and inspection history of the at least one structure after repair; and

at least one processor configured to:

obtain an evaluation score for the at least one structure from the inspection history of the at least one structure after repair, and record the evaluation score on the database;

acquire a captured image of a target structure to be repaired;

acquire size information regarding an actual size of a characteristic portion of the target structure in the captured image or an actual length of the target structure;

detect damage of the target structure from the captured image and calculate a degree of the damage based on the size information;

determine a degree of similarity between the damage of the target structure and damage of the at least one structure recorded on the database, and extract one or more kinds of damage for which the degree of similarity is high as similar damage; and

present, based on the evaluation score, repair methods adopted for the kinds of similar damage as repair methods for the target structure, wherein

the at least one processor is further configured to acquire group of images obtained by capturing images of segments of the target structure, and

the at least one processor is further configured to perform panoramic combination processing on the group of images.

12. The structure repair method selection system according to claim 11 , wherein the at least one processor is further configured to weight each piece of information.

13. A structure repair method selection system comprising:

a database that records thereon, data of a captured image of at least one structure before repair, an adopted repair method, a repair time, and inspection history of the at least one structure after repair; and

at least one processor configured to:

obtain an evaluation score for the at least one structure from the inspection history of the at least one structure after repair, and record the evaluation score on the database;

acquire a captured image of a target structure to be repaired;

acquire size information regarding an actual size of a characteristic portion of the target structure in the captured image or an actual length of the target structure;

detect damage of the target structure from the captured image and calculate a degree of the damage based on the size information;

determine a degree of similarity between the damage of the target structure and damage of the at least one structure recorded on the database, and extract one or more kinds of damage for which the degree of similarity is high as similar damage; and

present, based on the evaluation score, repair methods adopted for the kinds of similar damage as repair methods for the target structure, wherein

the database includes a repair time for the structure, the repair time including information on a number of years elapsed from a start of use of the at least one structure or a number of days or years elapsed from a last inspection date, and

the at least one processor is further configured to present the repair time in addition to the repair method.

14. The structure repair method selection system according to claim 13 , wherein the at least one processor is further configured to weight each piece of information.

15. A structure repair method selection system comprising:

a database that records thereon, data of a captured image of at least one structure before repair, an adopted repair method, a repair time, and inspection history of the at least one structure after repair; and

at least one processor configured to:

obtain an evaluation score for the at least one structure from the inspection history of the at least one structure after repair, and record the evaluation score on the database;

acquire a captured image of a target structure to be repaired;

acquire size information regarding an actual size of a characteristic portion of the target structure in the captured image or an actual length of the target structure;

detect damage of the target structure from the captured image and calculate a degree of the damage based on the size information;

determine a degree of similarity between the damage of the target structure and damage of the at least one structure recorded on the database, and extract one or more kinds of damage for which the degree of similarity is high as similar damage; and

present, based on the evaluation score, repair methods adopted for the kinds of similar damage as repair methods for the target structure,

wherein the at least one processor is further configured to present a repairing material in addition to the repair method.

16. The structure repair method selection system according to claim 15 , wherein the at least one processor is further configured to weight each piece of information.

17. A structure repair method selection system comprising:

a database that records thereon, data of a captured image of at least one structure before repair, an adopted repair method, a repair time, and inspection history of the at least one structure after repair; and

at least one processor configured to:

obtain an evaluation score for the at least one structure from the inspection history of the at least one structure after repair, and record the evaluation score on the database;

acquire a captured image of a target structure to be repaired;

acquire size information regarding an actual size of a characteristic portion of the target structure in the captured image or an actual length of the target structure;

detect damage of the target structure from the captured image and calculate a degree of the damage based on the size information;

determine a degree of similarity between the damage of the target structure and damage of the at least one structure recorded on the database, and extract one or more kinds of damage for which the degree of similarity is high as similar damage; and

present, based on the evaluation score, repair methods adopted for the kinds of similar damage as repair methods for the target structure,

wherein the at least one processor is further configured to weight each piece of information.

18. A structure repair method selection method comprising:

recording, on a database, data of a captured image of at least one structure before repair, an adopted repair method, a repair time, and inspection history of the at least one structure after repair;

obtaining an evaluation score for the at least one structure from the inspection history of the at least one structure after repair, and recording the evaluation score on the database;

acquiring a captured image of a target structure to be repaired;

acquiring size information regarding an actual size of a characteristic portion of the target structure in the captured image or an actual length of the target structure;

detecting damage of the target structure from the captured image and calculating a degree of the damage based on the size information;

determining a degree of similarity between the damage of the target structure and damage of the at least one structure recorded on the database, and extracting one or more kinds of damage for which the degree of similarity is high as similar damage; and

presenting, based on the evaluation score, repair methods adopted for the kinds of similar damage as repair methods for the target structure,

wherein presenting the repair methods includes presenting a repair method for which the evaluation score is higher than or equal to a predetermined score from among the repair methods, or presenting the repair methods in descending order of the evaluation score.

19. A structure repair method selection server that is connected to a user terminal via a network and selects a repair method for a target structure to be repaired, the structure repair method selection server comprising:

a database that records thereon, data of a captured image of at least one structure before repair, an adopted repair method, a repair time, and inspection history of the at least one structure after repair; and

at least one processor configured to:

obtain an evaluation score for the at least one structure from the inspection history of the at least one structure after repair, and record the evaluation score on the database;

receive a captured image of the target structure via the network, the captured image obtained by the user terminal;

acquire size information regarding an actual size of a characteristic portion of the target structure in the captured image or an actual length of the target structure;

detect damage of the target structure from the captured image and calculate a degree of the damage based on the size information;

determine a degree of similarity between the damage of the target structure and damage of the at least one structure recorded on the database, and extract one or more kinds of damage for which the degree of similarity is high as similar damage; and

transmit to the user terminal repair methods adopted for the kinds of similar damage as repair methods for the target structure based on the evaluation score,

wherein transmitting the repair methods includes transmitting a repair method for which the evaluation score is higher than or equal to a predetermined score from among the repair methods, or transmitting the repair methods in descending order of the evaluation score.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 19, 2021
From: HORITA, SHUHEI
To: FUJIFILM CORPORATION
Reel/Frame 056288/0595 →
Priority Claims (1)
JP 2018-223787 · Nov 29, 2018 · national
Continuity (2)
Continuation PCTJP2019042731 · Oct 31, 2019
Related Publication 20210272263A1 · Sep 2, 2021