IP Library Granted Patent US 12,388,706
Granted Patent B2
US 12,388,706 · App. 18/567,312 · Granted Aug 12, 2025

Correct answer data generation apparatus, correct answer data generation method and correct answer data generation program

Inventors: Atsushi Takada (Musashino, JP); Naoki Hayashi (Musashino, JP); Ryosuke Sato (Musashino, JP); Toshihiko Seki (Musashino, JP); Kyoko Yamagoe (Musashino, JP)
Assignee: Nippon Telegraph and Telephone Corporation
H04L41/064H04L41/0677H04L41/16
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 12,388,706
App. No.
18/567,312
Granted
Aug 12, 2025
Kind
B2
Abstract

A correct data generation device 1 includes: an acquisition unit 11 that acquires alarm information output from a plurality of devices; a correlation unit 13 that associates, from the alarm information, alarms whose occurrence times are within a first time width and recovery times are within a second time width, as a group of alarms that have occurred by the same event; and a generation unit 14 that generates correct data in which identification information of the event is set for each alarm of the group of alarms that has been associated.

Claims (37)

1. A correct data generation device comprising:

an acquisition unit, including one or more processors, configured to acquire alarm information output from a plurality of devices;

a correlation unit, including one or more processors, configured to associate, from the alarm information, a group of alarms that have occurred by a same event, the associating comprises:

determining if two or more alarms have occurrence times within a first time width;

determining if the two or more alarms have recovery times within a second time width;

determining if the two or more alarms occurred at a same location; and

in response to determining that (i) the two or more alarms have the occurrence times within the first time width, (ii) the two or more alarms have the recovery times within the second time width, and (iii) the two or more alarms occurred at the same location, associating the two or more alarms as the group of alarms that have occurred by the same event; and

a generation unit, including one or more processors, configured to generate correct data in which identification information of the event is set for each alarm of the group of alarms that has been associated, and use the correct data to perform machine learning of an alarm correlation model configured to perform association of an alarm.

2. The correct data generation device according to claim 1 ,

wherein the alarm includes location information of a device that has issued the alarm.

3. The correct data generation device according to claim 1 ,

further comprising a configuration information storage unit in which location information of each device is stored.

4. A correct data generation method performed by a correct data generation device, the method comprising steps of:

acquiring alarm information output from a plurality of devices;

associating, from the alarm information, a group of alarms that have occurred by a same event, the associating comprises:

determining if two or more alarms have occurrence times within a first time width;

determining if the two or more alarms have recovery times within a second time width;

determining if the two or more alarms occurred at a same location; and

in response to determining that (i) the two or more alarms have the occurrence times within the first time width, (ii) the two or more alarms have the recovery times within the second time width, and (iii) the two or more alarms occurred at the same location, associating the two or more alarms as the group of alarms that have occurred by the same event; and

generating correct data in which identification information of the event is set for each alarm of the group of alarms that has been associated; and

using the correct data to perform machine learning of an alarm correlation model configured to perform association of an alarm.

5. A non-transitory computer-readable storage medium storing a program for causing a computer perform operations comprising:

acquiring alarm information output from a plurality of devices;

associating, from the alarm information, a group of alarms that have occurred by a same event, the associating comprises:

determining if two or more alarms have occurrence times within a first time width;

determining if the two or more alarms have recovery times within a second time width;

determining if the two or more alarms occurred at a same location; and

in response to determining that (i) the two or more alarms have the occurrence times within the first time width, (ii) the two or more alarms have the recovery times within the second time width, and (iii) the two or more alarms occurred at the same location, associating the two or more alarms as the group of identified alarms that have occurred by the same event; and

generating correct data in which identification information of the event is set for each alarm of the group of alarms that has been associated; and

using the correct data to perform machine learning of an alarm correlation model configured to perform association of an alarm.

6. The correct data generation method according to claim 4 , wherein the alarm includes location information of a device that has issued the alarm.

7. The correct data generation method according to claim 4 , further comprising:

storing location information of each device in a configuration information storage unit.

8. The non-transitory computer-readable storage medium according to claim 5 ,

wherein the alarm includes location information of a device that has issued the alarm.

9. The non-transitory computer-readable storage medium according to claim 5 , wherein the operations further comprise:

storing location information of each device in a configuration information storage unit.

Assignments (4)
CHANGE OF NAME Recorded Aug 14, 2025
From: NIPPON TELEGRAPH AND TELEPHONE CORPORATION
To: NTT, INC.
Reel/Frame 072460/0605 →
CHANGE OF NAME Recorded Aug 14, 2025
From: NIPPON TELEGRAPH AND TELEPHONE CORPORATION
To: NTT, INC.
Reel/Frame 073460/0980 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jun 4, 2024
From: SHARMA, RAHUL; COSTANZA, JAMES M.
To: KPS GLOBAL LLC
Reel/Frame 067610/0505 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 15, 2023
From: TAKADA, ATSUSHI; HAYASHI, NAOKI; SATO, RYOSUKE; SEKI, TOSHIHIKO; YAMAGOE, KYOKO
To: NIPPON TELEGRAPH AND TELEPHONE CORPORATION
Reel/Frame 065880/0244 →
Continuity (1)
Related Publication 20240275662A1 · Aug 15, 2024
References Cited (4)
US 7389345B1 · Adams · 2008 [cited by examiner]
US 20170235623A1 · Brew · 2017 [cited by examiner]
US 20200410839A1 · Bickel · 2020 [cited by examiner]
Sato et al., “Proposing an Algorithm for Precise Alarm Correlation and Root Cause Analysis by Referring Network Topology,” IEICE Technical Report, Mar. 2020, 116(438):129-134, 13 pages (with English translation). [cited by applicant]