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Fish farm monitoring system

Urh Svetičič (2015) Fish farm monitoring system. EngD thesis.

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    Abstract

    The purpose of this bachelor's theses is to develop a system that will enable monitoring over the basic parameters in fish farms. That is why we have made an embedded system which is composed of four sensors and the STM32F4 Discovery board. This board is then connected through Ethernet module to Raspberry Pi 2, where the database is built. All together is monitored through web interface. The paper is composed of two parts. The first part is intended for a theoretical introduction in which we have included a short description of the fish farm operation, and pointed out which parameters are important and necessary to be monitored. What follows is a detailed overview of the elements needed for our system to work, their use, and description of technologies and tools needed to build our system. In the practical part, we first describe the operation of the embedded system, which GPIO pins we used, and how we managed the sensors with the help of FreeRTOS tasks. Further on, we dedicate ourselves to the programming of the Raspberry Pi server, planning and designing of MySql and RRD bases, and building a website with the help of HTML, CSS and PHP languages. We have added an extra functionality of warning with SMS notifications through GSM module Adafruit FONA.

    Item Type: Thesis (EngD thesis)
    Keywords: embedded system, fish farm, USR-TCP232-T, monitoring, Adafruit FONA, DHT22, Maxbotix MB7060, Atlas EZO Dissolved Oxygen kit
    Number of Pages: 74
    Language of Content: Slovenian
    Mentor / Comentors:
    Name and SurnameIDFunction
    izr. prof. dr. Patricio Bulić255Mentor
    Link to COBISS: http://www.cobiss.si/scripts/cobiss?command=search&base=51012&select=(ID=1536491459)
    Institution: University of Ljubljana
    Department: Faculty of Computer and Information Science
    Item ID: 3047
    Date Deposited: 04 Sep 2015 16:31
    Last Modified: 21 Sep 2015 14:23
    URI: http://eprints.fri.uni-lj.si/id/eprint/3047

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