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Določanje stopnje oblačnosti z metodo merjenja temperature neba
ID MIKUŽ, ŠTEFAN (Author), ID Jankovec, Marko (Mentor) More about this mentor... This link opens in a new window

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PID: 20.500.12556/rul/9ad551a4-39d2-4072-949e-63ac1e69a754

Abstract
Diplomsko delo obsega fizikalno razlago delovanja detekcije oblakov, izdelavo senzorja oblakov in analizo meritev. Senzor oblakov deluje na principu meritve elektromagnetnega sevanja neba v infrardečem spektru. Pri tem izkorišča Seebeckov termoelektrični pojav. Sestavljajo ga štiri glavne enote, in sicer senzor IR, senzor relativne vlažnosti, modul Wi-Fi ter mikrokrmilnik. Mikrokrmilnik komunicira z vsemi enotami ter obdeluje in posreduje zajete podatke na splet preko modula Wi-Fi. Z baterijskim napajanjem in sončnim panelom je senzor oblakov povsem avtonomna brezžična naprava. Analiza zajetih podatkov senzorja oblakov preko celega leta je pokazala linearno odvisnost izmerjenega IR sevanja v odvisnosti od absolutne vlage v okolici senzorja. Ugotovljena relacija je bila uporabljena pri definiciji parametra jasnosti. Le-ta v vseh letnih časih podaja informacijo ali je nebo nad senzorjem oblakov jasno, oblačno ali dežuje. Verifikacija rezultatov je bila opravljena s primerjavo meritev piranometrov ter slik iz vse-nebnih kamer.

Language:Slovenian
Keywords:detekcija oblakov, IR sevanje, Seebeckov pojav, Internet stvari
Work type:Undergraduate thesis
Organization:FE - Faculty of Electrical Engineering
Year:2016
PID:20.500.12556/RUL-84261 This link opens in a new window
Publication date in RUL:22.07.2016
Views:2260
Downloads:625
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Secondary language

Language:English
Title:Determination of cloudiness with the sky temperature measurement method
Abstract:
Diploma thesis includes description of physical principles for cloud detection, development, of the cloud sensor and analysis of its measurements. Cloud sensor works on a principle of measuring infrared electromagnetic irradiance of the sky. For this purpose it applies Seebeck thermoelectric effect. Cloud sensor consists of four major components, namely the IR sensor, relative humidity sensor, Wi-Fi module and microcontroller. Microcontroller is responsible for communications with all components as well as data analysis and transmission to the Internet via Wi-Fi module. Power is supplied by Li-Ion batteries which are charged with the solar panels, thus it is a fully autonomous, self-sufficient and wireless device. Analysis of obtained cloud sensor measurements reveals linear dependence of measured IR irradiance in relation to absolute humidity in the vicinity of the sensor. These findings were then used at defining clear sky parameter, which determines in all seasons of the year whether sky is clear, cloudy or if it is raining. Results were verified with the pyranometers’ measurements as well as the pictures from all-sky cameras.

Keywords:cloud detection, IR irradiance, Seebeck effect, Internet of Things

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