TY  - JOUR
T1  - Nesnelerin İnterneti Tabanlı Meteorolojik Veri Takip Sistemi
TT  - Internet of Things Based Meteorological Data Tracking System
AU  - Kelebekler, Ersoy
PY  - 2019
DA  - January
DO  - 10.29130/dubited.482651
JF  - Duzce University Journal of Science and Technology
JO  - DÜBİTED
PB  - Duzce University
WT  - DergiPark
SN  - 2148-2446
SP  - 650
EP  - 663
VL  - 7
IS  - 1
LA  - tr
AB  - Bu çalışmada, meteorolojik verilerin takibi, güneş ve rüzgar enerjisi açısından bölge potansiyelinin gerçek verilerile saptanması, hava veya alternatif enerji sistemleri tahmin algoritmalarında kullanılmak üzere meteorolojikverilerin toplanması amaçlarıyla Kocaeli Üniversitesi Uzunçiftlik Nuh Çimento Meslek Yüksekokulu çatısınakurulan hava istasyonu ele alınmıştır. Kurulan hava istasyonu ile bölgenin global ışıma, rüzgar hızı, rüzgar yönü,sıcaklık ve nem verileri 32 bit Arduino Due mikrodenetleyici ile toplanarak SD hafıza modülüne kayıt edilmiştir.Ayrıca veriler ESP8266 WiFi modülü aracılığıyla ThingSpeak bulut ortamına alınarak sistem bir nesnelerininterneti uygulamasına dönüştürülmüştür. Çalışma içerisinde ek olarak Ağustos 2018-Aralık 2018 dönemindesistemden elde edilen veriler kullanılarak günlük metrekare başına toplam ışıma, günlük ortalama, maksimum,minimum sıcaklık ve nem, günlük ortalama ve maksimum rüzgar hızı verileri grafikler yardımıyla sunulmuştur.
KW  - Meteorolojik veri takibi
KW  - Hava istasyonu
KW  - Nesnelerin İnterneti
KW  - Bulut sistemler
N2  - In this study, the weather station constructed on roof of Kocaeli University Uzunciftlik Nuh Cimento VocationalHigh School for tracking meteorological data, determining solar and wind energy potential of the region withactual data, collecting meteorological data in order to use in estimation algorithms of air or alternative energy wasdiscussed. With the established weather station, global radiation, wind speed, wind direction, temperature andhumidity data of the region were collected with 32 bit Arduino Due microcontroller and recorded to SD memorymodule. In addition, the system has been converted to a application of Internet of Things (IoT) by taking the datato ThingSpeak cloud environment via the ESP8266 WiFi module. Furthermore, daily radiation per square meter,daily average, maximum, minimum temperature and humidity, daily average and maximum wind speed belongingto the term from August 2018 to December 2018 were presented with the help of graphs.
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UR  - https://doi.org/10.29130/dubited.482651
L1  - https://dergipark.org.tr/en/download/article-file/662450
ER  -