This site exploits session and third parties cookies. Pressing on 'Accept' button, you accept cookie usage. For further information click Cookie Policy button

  • Banner



Funded under: PAR-FAS

Tecnologie ICT per il MOnitoraggio Strutturale di Costruzioni Antiche basato su Reti di sensori wireless e DrOni

From 2016-04-26 duration 24 months


Moscardo aims at contributing to the safety of the historical buildings. The project will provide a set of tools for the building management able to operate both during ordinary condition, for monitoring, and during emergencies, for the damage evaluation.

Structural monitoring is a crucial aspect for the management of historical buildings. Indeed, knowing the evolution of significant data, ensures a correct and precise evaluation about the building current state in terms of safety and functionality. Relevant monitoring is a fundamental requirement for the protection of historical buildings, which allows to properly manage and schedule the ordinary and extraordinary maintenance activity.

Moscardo will focus on the study and development of integrated methodologies for the monitoring, diagnostic and preservation of historical buildings. Methodologies will composed by wireless sensor networks, drones and innovative computing tools.
The employed wireless sensor networks will consider both architectural, structural and functional constraints which characterize historical buildings, and, in the other hand, the data transmission requirements, and will be optimized in terms of global cost and environmental impact. Monitored parameters will be defined exploiting computational langues for the simulation of static and dynamic behavior such as NOSA-ITACA, Mady and Code-Aster. These data will be integrated with the use of a drone in charge of acquiring videos and photos of the buildings.
Acquired data, both from sensor networks and drone, will be stored into an advanced system for the information elaboration (called Control and Monitoring Unit), where will be elaborated to provide useful information about structural condition of the monitored buildings.

Through the integration of sensor data with data acquired by the drone, it will be studied and experimented novel techniques and drivers to realize augmented reality applications of the monitored building.

MOSCARDO: CNR technologies to preserve cultural heritage (Italian)