
You have already added 0 works in your ORCID record related to the merged Research product.
You have already added 0 works in your ORCID record related to the merged Research product.
<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>
Development of a Compatible, Low Cost and High Accurate Conservation Remote Sensing Technology for the Hygrothermal Assessment of Historic Walls

handle: 11392/2404648 , 11571/1508866 , 11381/2867148
Development of a Compatible, Low Cost and High Accurate Conservation Remote Sensing Technology for the Hygrothermal Assessment of Historic Walls
This article aims to properly assess the hygrothermal properties of walls located in historic buildings, this study discloses the development of a remote sensing technology compatible with an in-situ measurement implemented in Palazzo Tassoni (Italy). As required by the international recommendations adapted to cultural heritage (CH), this monitoring system balances CH conservation, performance aspects and economic costs using an integrated multidisciplinary approach. Electronics for measurement of environmental parameters is composed of sensor measurements, data acquisition system and data storage and communication system. Data acquisition system, equipped with standard modbus-rtu interface, is designed to run standalone and it is based on two cloned single board PCs to reduce the possibility of data loss. In order to reduce the costs, RaspberryPI single board PCs were chosen. These run a C/C++ software based on standard modbus library and designed to implement multi-client server TCP/IP to allow communication with other devices. Storage and communication systems are based on an industrial PC; it communicates with sensor measurements’ system through a modbus-TCPIP bridge. PC runs a Labview software to provide data storage on a local database and graphical user interface to properly see all acquired data. Herein, some sensing options and approaches of measurement are described, unveiling different possible ways of enhancing the retrofit of CH with adapted technology.
- University of Pavia Italy
- Accademia Europea di Bolzano Italy
- National Institute for Nuclear Physics Italy
- University of Ferrara Italy
- INFN Sezione di Ferrara Italy
TK7800-8360, Energy conservation, sensors, remote sensing; sensors; in-situ monitoring; cultural heritage; historic wall; energy conservation, remote sensing, sensor, in-situ monitoring, energy conservation, Historic wall, Sensors, Cultural heritage; Energy conservation; Historic wall; In-situ monitoring; Remote sensing; Sensors;, historic wall, 600, Remote sensing, cultural heritage, 004, Cultural heritage, In-situ monitoring, Electronics
TK7800-8360, Energy conservation, sensors, remote sensing; sensors; in-situ monitoring; cultural heritage; historic wall; energy conservation, remote sensing, sensor, in-situ monitoring, energy conservation, Historic wall, Sensors, Cultural heritage; Energy conservation; Historic wall; In-situ monitoring; Remote sensing; Sensors;, historic wall, 600, Remote sensing, cultural heritage, 004, Cultural heritage, In-situ monitoring, Electronics
1 Research products, page 1 of 1
- IsRelatedTo
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).47 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 1% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 1%
