Title:
BUILDING DAMAGE ESCALATION DETECTION DEVICE, BUILDING DAMAGE ESCALATION DETECTION MODEL LEARNING DEVICE, BUILDING DAMAGE ESCALATION METHOD, BUILDING DAMAGE ESCALATION DETECTION MODEL LEARNING METHOD AND PROGRAM
Document Type and Number:
Japanese Patent JP2020008332
Kind Code:
A
Abstract:
To provide a building damage escalation detection device that can perform an evaluation of a building damage by a determination method different from a determination based on comparison of a threshold with a response value.SOLUTION: A building damage escalation detection device has: a determination unit that uses acceleration data to be obtained from a sensor provided in an observation layer of a building with a multi layer structure, and damage escalation information indicative of presence or absence of a damage escalation in the observation layer, and determines presence or absence of a damage escalation in a determination layer of a determination object on the basis of a building damage escalation detection model learning a relationship between the acceleration data and the presence or absence of the damage escalation in the observation layer; an acquisition unit that acquires the acceleration data from the sensor provided in the determination layer; and an output unit that outputs a determination result determined by the determination unit using the acquired acceleration data and the building damage escalation detection model as an estimation result estimating presence or absence of the damage escalation in the determination layer.SELECTED DRAWING: Figure 1
Inventors:
MIYASHITA YUKI
OKAZAWA RIE
SHIRAISHI MASATO
MORII TAKESHI
OKAZAWA RIE
SHIRAISHI MASATO
MORII TAKESHI
Application Number:
JP2018127077A
Publication Date:
January 16, 2020
Filing Date:
July 03, 2018
Export Citation:
Assignee:
SHIMIZU CONSTRUCTION CO LTD
International Classes:
G01M99/00; G06N20/00
Domestic Patent References:
| JP2016170037A | 2016-09-23 | |||
| JP2013195354A | 2013-09-30 | |||
| JP2013254239A | 2013-12-19 | |||
| JP2003322644A | 2003-11-14 |
Other References:
和田 直晃 他: "建築構造物のニューラルネットワーク手法による損傷同定に対する評価", 第５３回理論応用力学講演会 講演論文集, JPN6022015266, 13 April 2022 (2022-04-13), JP, ISSN: 0004759690
鈴木 琢也 他: "リカレントニューラルネットワークによる材料構成則の構築に関する基礎的研究", 日本建築学会構造系論文集, vol. 第８２巻，第７３４号, JPN6022015265, 2017, JP, pages 543 - 553, ISSN: 0004759691
鈴木 琢也 他: "リカレントニューラルネットワークによる材料構成則の構築に関する基礎的研究", 日本建築学会構造系論文集, vol. 第８２巻，第７３４号, JPN6022015265, 2017, JP, pages 543 - 553, ISSN: 0004759691
Attorney, Agent or Firm:
Yasushi Matsunuma
Kenichi Kawabuchi
Nishizawa Kazumi
Kenichi Kawabuchi
Nishizawa Kazumi