Abstract

Indoor air quality plays a major role in preventive cultural heritage conservation. There are several parameters that have an influence on the degradation process. Some examples are temperature, relative humidity, visible light, UV, radiation, particulate matter and reactive gases. All these parameters are measured and stored for monitoring purposes, but the amount of data is overwhelming for caretakers. We need a method that can make an assessment of the influence on these works of art. Given the measured parameters, it would be so much easier to convert measurements into a judgment (good-mediocre-bad). This will help caretakers to improve air quality and to take steps to prevent degradation. Analysis of big data provides the answer for this problem.

  Reading Phase

Reading Report (PDF)
Reading Presentation (PPT)

  Implementation Phase

Final Report (PDF)
Final Presentation (PPT)
Project Materials (ZIP)

  Second call

Final Report (PDF)
Final Presentation (PPT)
Project Materials (ZIP)