Data aggregation, Analysis and Decision Support

Vasiliki Vlachou, Rosanna Babagiannou, Simona Panunzi, Philippe Besson, Jose Luis Gato, Alexandra Trif, Gabriela Panzariuc, Razvan Gliga, Andrei Ogrezeanu, Serafeim Moustakidis, Patrik Karlsson, Athanasios Siouras (+7 others)
2020 Zenodo  
This deliverable provides information about the retrieval of data from resources relevant to past large-scale disasters and the aggregation of data coming from heterogeneous sources, such as smart glasses, smart helmets, drones, and sensors. As far as the past disasters are concerned, 23 relevant resources have been identified, thoroughly analysed, and evaluated according to specific criteria. Those resources concern almost all types of disasters and provide information mainly about the details
more » ... of each disaster and the caused casualties. However, a few resources also include data about the needs, the used equipment, and the number of responders that were required for the search & rescue activities during the respective disaster. The examination of the identified resources revealed that 10 of the 23 resources have the potential to provide invaluable information that can be proved to be handy during crisis preparedness and Search & Rescue activities. Regarding the aggregation of data coming from heterogeneous sources, the Data Fusion and Mediation System will be responsible for gathering all the data and storing them to a Cloud Server. All the sources, e.g., drones, will send their data to the Data Fusion and Mediation System through various ways, such as Wi-Fi, Bluetooth, and Restful APIs.
doi:10.5281/zenodo.4461313 fatcat:a7i5vtvv7jbghdrmsikuroerxm