An IoT-based infrastructure to enhance self-evacuations in natural hazardous events
| Autor: | Javier Orozco, Roc Meseguer, Sergio F. Ochoa, Rodrigo Santos, Gabriel Martin Eggly, Roger Pueyo Centelles, José Mariano Finochietto, Matias Micheletto |
|---|---|
| Přispěvatelé: | Universitat Politècnica de Catalunya. Doctorat en Arquitectura de Computadors, Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors, Universitat Politècnica de Catalunya. CNDS - Xarxes de Computadors i Sistemes Distribuïts |
| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: |
Internet of things
Evacuation of civilians Internet de les coses Computer science Process (engineering) Ambient intelligence system Mobile computing 02 engineering and technology Management Science and Operations Research Library and Information Sciences Computer security computer.software_genre Bridge (nautical) Large scale self-evacuations IoT-based infrastructure 11. Sustainability 0202 electrical engineering electronic engineering information engineering Natural disasters Instrumentation (computer programming) Architecture Natural disaster Informàtica::Arquitectura de computadors [Àrees temàtiques de la UPC] Ambient intelligence Participation of civilians 020206 networking & telecommunications Human sensors Catàstrofes naturals Computer Science Applications Evacuació de civils Hardware and Architecture Software deployment 020201 artificial intelligence & image processing computer |
| Zdroj: | UPCommons. Portal del coneixement obert de la UPC Universitat Politècnica de Catalunya (UPC) |
| Popis: | Regardless of the extensive research conducted on large-scale evacuations, the instrumentation of these processes still represents an open issue for first response organizations. Self-evacuation of civilians that follows evacuation plans has shown to be feasible as early response to several natural disasters; however, the typical lack of interaction capability of the evacuees with first response organizations and emergency managers jeopardizes the effectiveness of these processes. This article proposes an IoT-based infrastructure that supports self-evacuation of civilians in mass processes, allowing people to participate as information providers and consumers. This infrastructure is the backbone of an ambient intelligence system used as a bridge between evacuees, first response units, and the emergency operation center managing the process. Depending on the people location and the status of the area, the system implements breadcrumbs that guide people to shelters and safe places. The proposed infrastructure includes (1) an architecture that captures the core design aspects of the solution and makes it reusable for other researchers, (2) an implementation of the system based on Raspberry Pi 3 devices with LoRa radio connectivity, (3) a mobile application that allows evacuees to interact with the evacuation system, and (4) a simplified algorithm to support the deployment of the IoT-based infrastructure into an urban area. The solution was evaluated using real measurements and simulations, and the obtained results are highly encouraging. This work was partially funded by the Spanish Government under contract PID2019-106774RB-C21, the Spanish State Research Agency (AEI) under contracts PCI2019-111850-2 and PCI2019-111851-2 and the Generalitat de Catalunya as Consolidated Research Group 2017-SGR-990. |
| Databáze: | OpenAIRE |
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