Thesis Details

System for Autonomous Data Collection from Weighting Sensors

Bachelor's Thesis Student: Lučanský Adam Academic Year: 2016/2017 Supervisor: Šimek Václav, Ing.
Czech title
System for Autonomous Data Collection from Weighting Sensors
Language
English
Abstract

Thesis implements a system for the remote weight measurements of the beehives. Bus-unit board (STM32F0) samples two load cells (HX711 converter) and exposes data to the CAN bus. All units are chained through telephone cable, with a master unit (Raspberry Pi 3) with CAN shield at one end collecting and sending data to the web-server. Wireless data transmission is provided by integrated WiFi. System is battery-powered and charged by a solar panel large enough to accommodate continuous operation. Data are shown to the user in web-interface.Autonomous electronic weight measurement replaces current tedious manual mechanical scale reading and the need to visit beehives personally. System is installed on beehives for a local beekeeper.

Keywords

beehives, weighting, load cell, HX711, embedded systems, Raspberry Pi, STM32F042, Haskell, Ivory, Ivory Tower, Laravel, open-hardware

Department
Department of Computer Systems FIT BUT
Degree Programme
Information Technology
Files
Status
defended, grade C
Date
14 June 2017
Reviewer
Strnadel Josef, Ing., Ph.D.
Committee
Sekanina Lukáš, prof. Ing., Ph.D. (DCSY FIT BUT), předseda
Dytrych Jaroslav, Ing., Ph.D. (DCGM FIT BUT), člen
Hrubý Martin, Ing., Ph.D. (DITS FIT BUT), člen
Kořenek Jan, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Švéda Miroslav, prof. Ing., CSc. (DIFS FIT BUT), člen
Citation
LUČANSKÝ, Adam. System for Autonomous Data Collection from Weighting Sensors. Brno, 2017. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2017-06-14. Supervised by Šimek Václav. Available from: https://www.fit.vut.cz/study/thesis/20174/
BibTeX 
@bachelorsthesis{FITBT20174,
    author = "Adam Lu\v{c}ansk\'{y}",
    type = "Bachelor's thesis",
    title = "System for Autonomous Data Collection from Weighting Sensors",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2017,
    location = "Brno, CZ",
    language = "english",
    url = "https://www.fit.vut.cz/study/thesis/20174/"
}

Theses

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