Abstract

Cultural Heritage preventive conservation requires the monitoring of the parameters involved in the process of deterioration of artworks. Thus, both long-term monitoring of the environmental parameters as well as further analysis of the recorded data are necessary. The long-term monitoring at frequencies higher than 1 data point/day generates large volumes of data that are difficult to store, manage and analyze. This paper presents software which uses a free open source database engine that allows managing and interacting with huge amounts of data from environmental monitoring of cultural heritage sites. It is of simple operation and offers multiple capabilities, such as detection of anomalous data, inquiries, graph plotting and mean trajectories. It is also possible to export the data to a spreadsheet for analyses with more advanced statistical methods (principal component analysis, ANOVA, linear regression, etc.). This paper also deals with a practical application developed for the Renaissance frescoes of the Cathedral of Valencia. The results suggest infiltration of rainwater in the vault and weekly relative humidity changes related with the religious service schedules.

Highlights

  • The development of specific software for research purposes, especially in sensor applications, is of high importance in order to adapt to the particular case study and come to relevant conclusions about the recorded data with the maximum possible efficiency [1]

  • The software reads the data recorded by the monitoring system in text format, with comma separated value (CSV) extensions

  • The developed software (Burrito) is a graphic user interface (GUI) that allows the interaction with a DB created to store huge amounts of data such as those generated from environmental monitoring of cultural heritage

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Summary

Introduction

The development of specific software for research purposes, especially in sensor applications, is of high importance in order to adapt to the particular case study and come to relevant conclusions about the recorded data with the maximum possible efficiency [1]. In the case of frescoes, moisture and soluble salts are the very common causes of degradation; an early detection of inadequate values of these physical parameters is essential to avoid this kind of damage [9]. It follows that, the study of climatic conditions surrounding the artwork is essential to prevent deterioration [10,11,12,13] and to identify eventual consequences of corrective measures. D play a key role inn studying the causess of the saalt e efflorescenc ces [17]

Softwarre Resourcess
Monitoring System
Software Description
Data-Logger Database File
Getting Started
Defining Type of Sensors in the DB
Including Sensors in the DB
Input Register
Inquiring
Special Inquiries
Data Exportation
More Functions
Database and Data Pretreatment
Reduced DB for Daily Use
Advanced Statistical Analysis Applications
Findings
Conclusions
Full Text
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