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  Citation Number 10
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Nesnelerin İnterneti Tabanlı Meteorolojik Veri Takip Sistemi
2019
Journal:  
Düzce Üniversitesi Bilim ve Teknoloji Dergisi
Author:  
Abstract:

Bu çalışmada, meteorolojik verilerin takibi, güneş ve rüzgar enerjisi açısından bölge potansiyelinin gerçek veriler ile saptanması, hava veya alternatif enerji sistemleri tahmin algoritmalarında kullanılmak üzere meteorolojik verilerin toplanması amaçlarıyla Kocaeli Üniversitesi Uzunçiftlik Nuh Çimento Meslek Yüksekokulu çatısına kurulan 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 nesnelerin interneti uygulamasına dönüştürülmüştür. Çalışma içerisinde ek olarak Ağustos 2018-Aralık 2018 döneminde sistemden 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.

Keywords:

Meteorological data tracking system based on the Internet of Things
2019
Author:  
Abstract:

In this study, meteorological data tracking, solar and wind energy potential determination with real data, air or alternative energy systems forecast algorithms for the purpose of collecting meteorological data for the purpose of the Kocaeli University Longjiftlik Noah Cement Career High School roof established air station was addressed. With the established air station, the global lighting, wind speed, wind direction, temperature and moisture data of the area have been recorded in the SD memory module by gathering with the 32-bit Arduino Due microcontroller. Additionally, the data is transferred to the cloud environment ThingSpeak through the ESP8266 WiFi module and the system is converted to an object’s Internet application. In addition to the study, the data obtained from the system in the period of August 2018 and December 2018 were presented with the help of graphs of total radiation per square meter per day, daily average, maximum, minimum temperature and moisture, daily average and maximum wind speed data.

Keywords:

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Düzce Üniversitesi Bilim ve Teknoloji Dergisi

Field :   Fen Bilimleri ve Matematik

Journal Type :   Ulusal

Metrics
Article : 1.636
Cite : 3.093
2023 Impact : 0.134
Düzce Üniversitesi Bilim ve Teknoloji Dergisi