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http://hdl.handle.net/10609/95007
Title: | Herramienta web para la monitorización de flota de vehículos |
Author: | Romero Conde, Francisco Javier |
Director: | Lopez Vicario, Jose |
Tutor: | Vilajosana, Xavier |
Abstract: | Today we have a large number of connected objects that send a large amount of information through the network. In this TFM a study is made on how the information of a fleet of vehicles (IOT objects) reaches the human being for its corresponding monitoring and understanding, that is, the way in which the information travels until the arrival to the human being. To this end, a study of GPS and the most relevant LPWAN technologies such as Sigfox, LoRa / LoRaWAN that work in the unlicensed ISM band and those derived from LTE, NB-IoT and LTE-M in the licensed bands has been carried out. Likewise, a comparison and analysis is carried out indicating which technology seems to be the best in each case. Once it has been sent through the network, this information is necessary to be stored. This task is done through a database server. With all this, in this TFM and with the help of different web technologies and framework derived from them, the web tool has been developed for the monitoring of a vehicle fleet that shows the geolocation and locates the vehicle on the map using the API Google Maps, apart of showing other information about the vehicles of the fleet so that, the client (mobile device, tablet, pc, ...) can consult this information stored through a web server by means of HTTP and REST requests. |
Keywords: | Google Maps GPS LPWAN REST |
Document type: | info:eu-repo/semantics/masterThesis |
Issue Date: | 9-Jun-2019 |
Publication license: | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
Appears in Collections: | Bachelor thesis, research projects, etc. |
Files in This Item:
File | Description | Size | Format | |
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fjrocoTFM0619presentación.ppsx | 24,71 MB | Unknown | View/Open | |
fjrocoTFM0619memoria.pdf | Memoria del TFM | 2,82 MB | Adobe PDF | View/Open |
fjrocoTFM0619presentació.pdf | Presentación del TFM | 1,24 MB | Adobe PDF | View/Open |
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