Soft sensors have been successfully applied to simulate physical and chemical measurements in specific locations of a monument. They allowed monitoring the quality conditions of the monument surface for long periods of time. This is a not invasive process that provides a huge set of multidimensional data. They have been analyzed by the Cultural Heritage experts to find physical or chemical critical condition which could generate some degradation process. Here we propose several multidimensional visualization techniques to represent the predictions of environmental parameters, given by several soft sensors, in a comprehensive and compact way. Visualization tools using both shape variation (glyph) and color are developed to realize an homogeneous communication paradigm. Moreover, each tool uses a 3D navigable model of the monument as visual support.

Towards a Multidimensional Visualization of Environmental Soft Sensors Predictions

Maniscalco Umberto;Ciarlini Patrizia;Cossu Rossella
2008

Abstract

Soft sensors have been successfully applied to simulate physical and chemical measurements in specific locations of a monument. They allowed monitoring the quality conditions of the monument surface for long periods of time. This is a not invasive process that provides a huge set of multidimensional data. They have been analyzed by the Cultural Heritage experts to find physical or chemical critical condition which could generate some degradation process. Here we propose several multidimensional visualization techniques to represent the predictions of environmental parameters, given by several soft sensors, in a comprehensive and compact way. Visualization tools using both shape variation (glyph) and color are developed to realize an homogeneous communication paradigm. Moreover, each tool uses a 3D navigable model of the monument as visual support.
2008
Istituto di Calcolo e Reti ad Alte Prestazioni - ICAR
978-0-7695-3109-0
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/70060
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