Observatorio de I+D+i UPM

Memorias de investigación
Tesis:
CONTRIBUTION TO PUBLIC HEALTH DATA PROCESSING ARCHITECTURES APPLIED TO RESILIENT SMART CITIES AFFECTED BY NATURAL HAZARDS
Año:2019
Áreas de investigación
  • Tecnología electrónica y de las comunicaciones
Datos
Descripción
This document discusses three aspects that intervene in the sustainable development of a city such as Technology, Health, and the potential Natural Risks that threaten such progress. In the first context, it focuses on describing the techniques and technologies used in a smart environment, including Sensor Networks, Internet of Things (IoT), Data Processing, Big Data, and Machine Learning. Regarding the issue of Health, it focuses on various topics that are used in data processing body measurements such as body mass index (BMI), human gait, overweight and conditions of the soil on the human walking. Finally, two emergency environments in natural disasters have been studied; these are: earthquakes and fires, however, specific issues that may affect the environment surrounding the city are described. The purpose of the study of these aspects is to analyze the effects of the BMI on the survival of a person when an emergency arises and at the same time what the technology implemented in a city (Smart City) can do to assist people who are more vulnerable to natural risks. In this context, the following architectures are presented: The first analyzes a Smart City to incorporate the concept of resilience in the city when post-disaster (earthquakes) events occur. The second introduces an architecture of e-health services within a Smart City allowing to establish support services and quick emergency relief. Lastly, to discuss these proposals, several simulation environments are described that focus on different points of the architectures, among them, are: 1. Wireless sensor network (WSN) inside buildings that allows generating alerts and evacuation routes focused on fires and earthquakes. 2. Viewing events (messages) from rooms that are on alert and can cause damage to humans. 3. Analysis and models of the communication flow for a sensor network. 4. Study of the spread of wildfires to propose rapid evacuation and early warning to relief agencies. 5. The repercussions of BMI in human gait when evacuating a building (response times). 6. BMI analysis of people who have specific cardiovascular disease, and finally, an innovative analysis is presented to find the building risk using a model of human gait focused on BMI. Finally, with the results obtained in the simulations, reliable conclusions are presented about the influence of the BMI in the human gait, and how in an emergency affects a person?s weight in survival. Likewise, the need to incorporate fail-safe mechanisms (natural risks) in applications within a Smart City.
Internacional
Si
ISBN
Tipo de Tesis
Doctoral
Calificación
Sobresaliente
Fecha
15/07/2019
Esta actividad pertenece a memorias de investigación
Participantes
  • Director: Joaquin Luciano Salvachua Rodriguez (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Departamento: Ingeniería de Sistemas Telemáticos
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