Parallel dynamic post processing and analysis of recorded sensor data in real time with cloud computing

Markus Krüger, E. Price

Publikation: KonferenzbeitragPaperBegutachtung

Abstract

Raw sensor data collected by monitoring networks requires use-case based post-processing prior to visualization or analysis. However, with larger monitoring projects accumulating raw data in the magnitude of gigabytes, it becomes infeasible to duplicate the entire data set for each analysis use case. Filtering the raw data prior to storage is also not an option since valuable information might be lost or distorted. With modern cloud computing techniques available, it now becomes possible to dynamically filter and process large sets or raw data in real time on a per request base. The paper presents such an approach using cascaded filters for data cross- correlation and visualization which is executed in parallel within a scalable multiprocessing web based environment (cloud).

Originalspracheenglisch
PublikationsstatusVeröffentlicht - 1 Jan. 2015
Extern publiziertJa
Veranstaltung7th International Conference on Structural Health Monitoring of Intelligent Infrastructure, SHMII 2015 - Torino, Italien
Dauer: 1 Juli 20153 Juli 2015

Konferenz

Konferenz7th International Conference on Structural Health Monitoring of Intelligent Infrastructure, SHMII 2015
Land/GebietItalien
OrtTorino
Zeitraum1/07/153/07/15

ASJC Scopus subject areas

  • Bauwesen
  • Tief- und Ingenieurbau
  • Artificial intelligence

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