Abstract
Conservation and restoration of cultural heritage is something more than a simple process of maintaining the existing. It is an integral part of the improvement of the cultural asset. The social context around the restoration shapes the specific actions. Today, preservation, restoration, enhancement of cultural heritage are increasingly a multidisciplinary science, meeting point of researchers coming from heterogeneous study areas. Data scientists and Information technology (IT) specialists are increasingly important. In this context, networks of a new generation of smart sensors integrated with data mining and artificial intelligence play a crucial role and aim to become the new skin of cultural assets.
Highlights
Given a target area where is located a system of cultural assets we developed and propose a complete monitoring architecture that assembles all components showed in Figure 1: 1
We said that the Internet of Things (IoT) paradigm allows us to capture the right dimension of the cultural heritage: sensors are a key element in this direction
Basic technologies are based on Wireless Sensor Networks (WSN), Bluetooth Low Energy (BLE), radio frequency identification (RFID) and Near Field Communication (NFC)
Summary
“Cultural heritage is the legacy of physical artifacts and intangible attributes of a group or society that are inherited from past generations, maintained in the present and bestowed for the benefit of future generations” (www.unesco.org). The great opportunity to assemble hyphenated techniques [4], as NMR-MOUSE [5], neutrons [6] physical approaches represents a future challenge in cultural heritage restoration and conservation/valorization management This multi-disciplinary approach could achieve impact and success for a global characterization of artwork objects and valorization of archaeological surfaces, providing very useful information to restorers and conservator scientists when they approach in terms of experimental restoration and conservation treatments. The goal is ambitious in another sense: the monitoring system is more than transparent: it enters in the ecosystem proving it with new opportunities This is possible thanks to a causal engine able to integrate heterogeneous data (physical and social data);.
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