Objective
Starting from previous research experiences and tangible outcomes, STORM proposes a set of novel predictive models and improved non-invasive and non-destructive methods of survey and diagnosis, for effective prediction of environmental changes and for revealing threats and conditions that could damage cultural heritage sites. Moreover, STORM will determine how different vulnerable materials, structures and buildings are affected by different extreme weather events together with risks associated to climatic conditions or natural hazards, offering improved, effective adaptation and mitigation strategies, systems and technologies. An integrated system featuring novel sensors (intra fluorescent and wireless acoustic sensors), legacy systems, state of the art platforms (including LiDAR and UAVs), as well as crowdsourcing techniques will be implemented, offering applications and services over an open cloud infrastructure.
An important result of STORM will be a cooperation platform for collaboratively collecting and enhancing knowledge, processes and methodologies on sustainable and effective safeguarding and management of European Cultural Heritage. The system will be capable of performing risk assessment on natural hazards taking into account environmental and anthropogenic risks, and of using Complex Events processing. Results will be tested in relevant case studies in five different countries: Italy, Greece, UK, Portugal and Turkey. The sites and consortium have been carefully selected so as to adequately represent the rich European Cultural Heritage, while associate partners that can assist with liaisons and links to other stakeholders and European sites are also included.
The project will be carried out by a multidisciplinary team providing all competences needed to assure the implementation of a functional and effective solution to support all the actors involved in the management and preservation of Cultural Heritage sites.
Fields of science
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- social scienceseducational sciencesdidactics
- humanitieshistory and archaeologyarchaeologyethnoarchaeology
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
- natural sciencesearth and related environmental sciencesphysical geographynatural disasters
- natural sciencesearth and related environmental sciencesatmospheric sciencesclimatologyclimatic changes
Programme(s)
Funding Scheme
RIA - Research and Innovation actionCoordinator
00144 Roma
Italy
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Participants (19)
1000 029 Lisboa
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70013 Irakleio
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12244 Aigaleo
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56021 Cascina
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
00185 Roma
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01100 Viterbo
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EN2 6NF Enfield
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
70174 Stuttgart
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00184 Rome
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SK6 5LX STOCKPORT CHESHIRE
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M4 1FS Manchester
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
M5 4WT Salford
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1200-872 LISBOA
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
7570-789 GRANDOLA
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1349 021 Lisboa
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7570 281 GRANDOLA
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1190 WIEN
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74100 RETHYMNO
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34342 Istanbul
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