Presenting a unified framework for generic sensor data storage, synchronization and post processing independent of sensor type and dimensionality

Eric Price, M. Krüger, J. Willeke

Research output: Contribution to conferencePaper

Abstract

Structural health monitoring is very often conducted with many different sensors, providing a multitude of different data types which range from single scalar values per measurement over frequency sweeps or acoustic amplitude signals up to multi-dimensional data from 2d cameras or even 3d tomography data. Often enough, this data is provided asynchronously. Storing and processing this data with tools optimized for a single specific sensor limits the users' options for sensor cross-correlation - on the other hand truly generic scientific data processing tools like Matlab or others require skill and time consuming programming per sensor and measurement project. Within the paper a generic and pervasive facility is presented that is able to store, post process and analyse any kind of sensor data generated in complex structural health monitoring applications.

Original languageEnglish
Publication statusPublished - 1 Jan 2015
Externally publishedYes
Event7th International Conference on Structural Health Monitoring of Intelligent Infrastructure, SHMII 2015 - Torino, Italy
Duration: 1 Jul 20153 Jul 2015

Conference

Conference7th International Conference on Structural Health Monitoring of Intelligent Infrastructure, SHMII 2015
CountryItaly
CityTorino
Period1/07/153/07/15

ASJC Scopus subject areas

  • Building and Construction
  • Civil and Structural Engineering
  • Artificial Intelligence

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  • Cite this

    Price, E., Krüger, M., & Willeke, J. (2015). Presenting a unified framework for generic sensor data storage, synchronization and post processing independent of sensor type and dimensionality. Paper presented at 7th International Conference on Structural Health Monitoring of Intelligent Infrastructure, SHMII 2015, Torino, Italy.