Long-term wireless monitoring of historic structures-lessons learned from practical applications

M. Krüger*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

Abstract

Monitoring of historic structures is quite a challenge. Ideally any installations have to be non-destructive and invisible for which the application of wireless monitoring systems seem to be a good solution. The situation becomes challenging if the desired monitoring focuses on acquiring and analyzing data like stress, strain, inclination, salt and moisture content inside materials that require reliable sensor technologies and adequate signal conditioning. The main challenges in this context are the power supply and reliability over longer monitoring periods. To remain cost-effective and practicable, a balance between the monitoring task adequate to the expected result from the monitoring and the time and effort to perform the monitoring must be found. This is why wireless monitoring systems frequently have to be customized. The paper discusses research results of the European project SMooHS and developments made with respect to monitor historic structures with wireless sensor systems. The focus is on wireless monitoring solutions that have found to be appropriate for long-term monitoring (periods larger 1 year) of historic structures.

Original languageEnglish
Title of host publicationStructural Health Monitoring 2012
Place of PublicationBerlin
PublisherDeutsche Gesellschaft für Zerstörungsfreie Prüfung, DGZfP
Pages589-597
Number of pages9
Volume1
ISBN (Print)9783940283412
Publication statusPublished - 1 Dec 2012
Externally publishedYes
Event6th European Workshop on Structural Health Monitoring - Dresden, Germany
Duration: 3 Jul 20126 Jul 2012

Conference

Conference6th European Workshop on Structural Health Monitoring
Abbreviated titleEWSHM 2012
Country/TerritoryGermany
CityDresden
Period3/07/126/07/12

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems
  • Signal Processing
  • Civil and Structural Engineering
  • Building and Construction
  • Safety, Risk, Reliability and Quality

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