Akıllı şehirlerde büyük coğrafi veri yönetimi ve analizi: hava kalitesi örneği

Yıl 2022, , 174 - 186, 15.12.2022

Arif Çağdaş Aydınoğlu , Rabia Bovkır , Muzaffer Bulut

https://doi.org/10.29128/geomatik.938855

Cited By: 3

Öz

Bilişim teknolojilerinin gelişmesiyle, veri üretim teknikleri ve toplanan veri hacmi artmıştır. Akıllı şehir uygulamaları ile sensörler, IoT, internet, giyilebilir teknolojiler gibi farklı veri kaynaklarından akan verilerin yönetimi ve bu verilerden değer yaratmak mümkün hale gelmiştir. Günümüzde toplanan büyük hacimli ve karmaşık verinin yönetimi için geleneksel veri depolama ve yönetim yaklaşımları yetersiz kalmış ve büyük verinin hacim, hız ve çeşitlilik gibi karakteristik özellikleri kapsamında yeni bir yaklaşım ihtiyacı doğmuştur. SQL tabanlı yapısal veri tabanlarının yanı sıra, bu ihtiyaca cevap olarak yapılandırılmamış veriyi yönetmede esnek ve ölçeklenebilir bir çözüm olarak NoSQL veri tabanı sistemleri geliştirilmiştir. Bu çalışmada, akıllı şehirlerde örnek teknolojiler değerlendirilmiş, coğrafi büyük verinin CBS ile entegrasyonu kapsamında hava izleme istasyonlarından elde edilen anlık sensör ölçme verileri kullanılarak NoSQL veri tabanı ortamı olan MongoDB’ de Hava Kalitesi İndeksi (HKİ) hesaplanmıştır. CBS ortamında hava izleme istasyonlarına yakın olan trafik sensörlerinden elde edilen veriler ile ortalama trafik yoğunlukları hesaplanmıştır. Elde edilen sonuçlara göre hava kalitesinin trafik ile ilişkisi belirlenmiştir.

Anahtar Kelimeler

Hava Kalitesi İndeksi (HKİ), NoSQL, Büyük Coğrafi Veri Yönetimi, MongoDB, Büyük Veri

Destekleyen Kurum

TÜBİTAK

Proje Numarası

116Y204

Kaynakça

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