This dissertation is framed in the scope of the European Project SelSus, which aims to develop a new life cycle based and distributed upon probabilistic diagnostic and predictive maintenance environment for repairing and renovation activities. To promote all the previously addressed issues, the innovative concept of Sensor Cloud is presented. This concept is intimately related with the development of both Wireless Sensor Networks (WSN) and Service-Oriented Architectures (SOA), along with capabilities for processing, reduction and generation of sensor data. As a point of interest and ease of implement of this Sensor Cloud, the Smart Node concept is explored as intermediate between sensors, considered lower capacity devices, and components that may require certain services from the Cloud. The application scenario is the automotive industry.
The main purpose of this dissertation is the study how this Smart Node's concept can be extended in order to include humans in the sensing process, both for accessing their conditions (Body Wearable Sensors) and to use the human as an active sensor (Sensor Probe), promoting the integration of a diverse type of sensors (like ECG, EMG, ACC, Vision, etc) and software algorithms that will be embedded within this platform to facilitate collaboration and decision making on a distributed peer-to-peer basis. This new node will use BITALINO (http://bitalino.com/) as main implementation platform.
| Identifer | oai:union.ndltd.org:up.pt/oai:repositorio-aberto.up.pt:10216/89316 |
| Date | 01 October 2016 |
| Creators | Pedro Miguel de Miranda Tavares |
| Contributors | Faculdade de Engenharia |
| Source Sets | Universidade do Porto |
| Language | English |
| Detected Language | English |
| Type | Dissertação |
| Format | application/pdf |
| Rights | openAccess |
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