Details
| Translated title of the contribution | Requirements for automated condition monitoring of buildings, using digital image capture and image evaluation |
|---|---|
| Original language | German |
| Pages (from-to) | 705-711 |
| Number of pages | 7 |
| Journal | Bautechnik |
| Volume | 95 |
| Issue number | 10 |
| Publication status | Published - 4 Oct 2018 |
Abstract
Requirements for automated condition monitoring of buildings, using digital image capture and image evaluation. The aim of this report is, to present the research focus of the German Federal Railway Authority on digitization in construction and briefly introducing the first project carried out in this context. Prognosis methods for assessing the condition of buildings and planning maintenance procedures, are already used by stationary industries. Adapting “Predictive Maintenance” (PM) for the construction industry, is one of the central topics of current research. PM should be a logical consequence of the consistent introduction and use of digital technologies in construction. The collection and localization of data, its analysis and evaluation and the derivation of useful measures, are the questions to be investigated. On behalf of the Federal Railway Authority, the Leibniz University Hannover investigated therefore basic requirements for the optical detection and classification of cracks on reinforced concrete bridges.
ASJC Scopus subject areas
- Engineering(all)
- Civil and Structural Engineering
- Engineering(all)
- Building and Construction
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In: Bautechnik, Vol. 95, No. 10, 04.10.2018, p. 705-711.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Anforderungen und Konzept für eine automatisierte Zustandserfassung von Bauwerken mittels Bilderfassung und -auswertung
AU - Reinhardt, Markus
AU - Gebauer, Daniel
AU - Marx, Steffen
N1 - Publisher Copyright: © 2018, Ernst und Sohn. All rights reserved.
PY - 2018/10/4
Y1 - 2018/10/4
N2 - Requirements for automated condition monitoring of buildings, using digital image capture and image evaluation. The aim of this report is, to present the research focus of the German Federal Railway Authority on digitization in construction and briefly introducing the first project carried out in this context. Prognosis methods for assessing the condition of buildings and planning maintenance procedures, are already used by stationary industries. Adapting “Predictive Maintenance” (PM) for the construction industry, is one of the central topics of current research. PM should be a logical consequence of the consistent introduction and use of digital technologies in construction. The collection and localization of data, its analysis and evaluation and the derivation of useful measures, are the questions to be investigated. On behalf of the Federal Railway Authority, the Leibniz University Hannover investigated therefore basic requirements for the optical detection and classification of cracks on reinforced concrete bridges.
AB - Requirements for automated condition monitoring of buildings, using digital image capture and image evaluation. The aim of this report is, to present the research focus of the German Federal Railway Authority on digitization in construction and briefly introducing the first project carried out in this context. Prognosis methods for assessing the condition of buildings and planning maintenance procedures, are already used by stationary industries. Adapting “Predictive Maintenance” (PM) for the construction industry, is one of the central topics of current research. PM should be a logical consequence of the consistent introduction and use of digital technologies in construction. The collection and localization of data, its analysis and evaluation and the derivation of useful measures, are the questions to be investigated. On behalf of the Federal Railway Authority, the Leibniz University Hannover investigated therefore basic requirements for the optical detection and classification of cracks on reinforced concrete bridges.
KW - BIM
KW - Maintenance and Repair
KW - condition assessment
KW - digital imaging
KW - digitalization
KW - image evaluation
KW - predictive maintenance
UR - http://www.scopus.com/inward/record.url?scp=85053497916&partnerID=8YFLogxK
U2 - 10.1002/bate.201800065
DO - 10.1002/bate.201800065
M3 - Artikel
VL - 95
SP - 705
EP - 711
JO - Bautechnik
JF - Bautechnik
SN - 0932-8351
IS - 10
ER -