Document Details

Title Dynamic, Rule-based Quality Control Framework for Real-time Sensor Data
Archive All Files / Documents / Presentations / Posters
Abstract

Quality control is a critical component of environmental data management, particularly for data collected by autonomous sensors. Performing quality analysis on high volume, real-time data from sensor networks, flux towers and instrumented platforms is a major challenge, though, and can become a limiting factor in managing these data. Software developed at the Georgia Coastal Ecosystems LTER Site (GCE Data Toolbox for MATLAB) has proven very effective for quality control of both real-time and legacy data, as well as interactive analysis during post processing and synthesis. This poster describes the dynamic, rule-based quality control framework provided by this software and illustrates how it can be used for both automated and interactive quality management of sensor data.

Contributor Wade M. Sheldon
Citation

Sheldon, W.M. Jr. 2009. Poster: Dynamic, Rule-based Quality Control Framework for Real-time Sensor Data. 2009 LTER All Scientists Meeting, September 13-17, 2009, Estes Park, Colorado.

Key Words data, database, LTER-IMC, MATLAB, quality control, sensor
File Date 2009
Web Link PDF file
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LTER
NSF

This material is based upon work supported by the National Science Foundation under grants OCE-9982133, OCE-0620959, OCE-1237140 and OCE-1832178. Any opinions, findings, conclusions, or recommendations expressed in the material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.