Details
| Translated title of the contribution | Concepts for data quality and data management at design and implementation of monitoring systems |
|---|---|
| Original language | German |
| Pages (from-to) | 537-545 |
| Number of pages | 9 |
| Journal | Bauingenieur |
| Volume | 92 |
| Issue number | 12 |
| Publication status | Published - 2017 |
Abstract
Increasingly, monitoring of structural components becomes a sophisticated tool for status assessment, structural lifecycle management and general knowledge discovery in all areas of civil engineering. This development leads to a rapid expansion of the numbers, as well as the complexity of the performed measurements, so that quality management of measurement data and data management attain practical importance. The data quality can be structured in four criteria, which comprehensive advertency has a significant impact on the value of the derived information. The large amount of data can be handled using an efficiently designed and mostly automated data management, only. The various aspects of data quality and data management have been studied in the research project GIGAWIND life and assessed using the measurement data from the wind park Alpha Ventus. For prospective monitoring activities recommendations are given.
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In: Bauingenieur, Vol. 92, No. 12, 2017, p. 537-545.
Research output: Contribution to journal › Article › Research
}
TY - JOUR
T1 - Konzepte für Datenqualität und Datenablage bei Entwurf und Umsetzung von Monitoringsystemen
AU - Herrmann, Ralf
AU - Rabe, J.
AU - Bolle, Guido
AU - Marx, Steffen
PY - 2017
Y1 - 2017
N2 - Increasingly, monitoring of structural components becomes a sophisticated tool for status assessment, structural lifecycle management and general knowledge discovery in all areas of civil engineering. This development leads to a rapid expansion of the numbers, as well as the complexity of the performed measurements, so that quality management of measurement data and data management attain practical importance. The data quality can be structured in four criteria, which comprehensive advertency has a significant impact on the value of the derived information. The large amount of data can be handled using an efficiently designed and mostly automated data management, only. The various aspects of data quality and data management have been studied in the research project GIGAWIND life and assessed using the measurement data from the wind park Alpha Ventus. For prospective monitoring activities recommendations are given.
AB - Increasingly, monitoring of structural components becomes a sophisticated tool for status assessment, structural lifecycle management and general knowledge discovery in all areas of civil engineering. This development leads to a rapid expansion of the numbers, as well as the complexity of the performed measurements, so that quality management of measurement data and data management attain practical importance. The data quality can be structured in four criteria, which comprehensive advertency has a significant impact on the value of the derived information. The large amount of data can be handled using an efficiently designed and mostly automated data management, only. The various aspects of data quality and data management have been studied in the research project GIGAWIND life and assessed using the measurement data from the wind park Alpha Ventus. For prospective monitoring activities recommendations are given.
UR - http://www.scopus.com/inward/record.url?scp=85039151185&partnerID=8YFLogxK
U2 - 10.37544/0005-6650-2017-12-53
DO - 10.37544/0005-6650-2017-12-53
M3 - Artikel
VL - 92
SP - 537
EP - 545
JO - Bauingenieur
JF - Bauingenieur
SN - 0005-6650
IS - 12
ER -