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Streamlining field inspections for infrastructures life-cycle management

 Streamlining field inspections for infrastructures life-cycle management
Autor(en): , ORCID, ORCID,
Beitrag für IABSE Symposium: Engineering for Progress, Nature and People, Madrid, Spain, 3-5 September 2014, veröffentlicht in , S. 2868-2875
DOI: 10.2749/222137814814069705
Preis: € 25,00 inkl. MwSt. als PDF-Dokument  
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In the Era of Cloud Computing, mobile devices are playing a determinant role in how people communicate and work. With impressive computational e graphical capabilities modern mobile devices are sh...
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Bibliografische Angaben

Autor(en):
ORCID
ORCID

Medium: Tagungsbeitrag
Sprache(n): Englisch
Tagung: IABSE Symposium: Engineering for Progress, Nature and People, Madrid, Spain, 3-5 September 2014
Veröffentlicht in:
Seite(n): 2868-2875 Anzahl der Seiten (im PDF): 8
Seite(n): 2868-2875
Anzahl der Seiten (im PDF): 8
Jahr: 2014
DOI: 10.2749/222137814814069705
Abstrakt:

In the Era of Cloud Computing, mobile devices are playing a determinant role in how people communicate and work. With impressive computational e graphical capabilities modern mobile devices are showing to be true candidates to assume control in processes until now paper-based. With that line of though, infrastructure managers are becoming prone to take advantage of mobile devices for the inspection and management tasks.

A platform, for a tablet pc, is being developed for inspection tasks in order to expedite the processes of storing and using of information. The platform might be remotely connected to a database to present standard inspection files, combined with the possibility of obtaining technical information of the element being inspected (such as historical data, previous inspections data, theoretical-technical information, etc.) in order to increase the inspections’ objectivity. This platform aims to make information available in real-time and aims to be a step forward to standardize and automatize the inspections’ classification. The inspection results will be converted into normalized indexes to be used in optimization models (considering the infrastructures performance and constraints) to trace the best scenarios for maintenance/intervention.