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Dergiler / Recep Tayyip Erdoğan Üniversitesi Fen ve Mühendislik Bilimleri Dergisi / 2026 / Cilt: 6 Sayı: 1

Yapay Zekanın Mekan Tasarımına Entegrasyonu

Integration of Artificial Intelligence into Space Design

Makbulenur Onur(Karadeniz Teknik Üniversitesi)0000-0003-4511-1284
Sayfa
183–194
Yayın Tarihi
2025-06-30
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Yapay Zeka Hızlı Bakış & Çıkarımlar

AI Insight
⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Çalışmanın bulgular kısmında cihazın oluşturulması ve emisyon verilerinin tahmini detaylı olarak anlatılacaktır.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:Her geçen gün artan hava kirliliği hava kalitesinin değişmesine neden olmaktadır.
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Temel Bulgular & Veri:Bu etkilerden dolayı atmosfere salınan emisyonlar ve kirletici konsantrasyonları sürekli değişmektedir.
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Sonuç & Katkı:Çalışmanın bulgular kısmında cihazın oluşturulması ve emisyon verilerinin tahmini detaylı olarak anlatılacaktır.
🔬Tür:Uygulamalı Anket & Alan Araştırması
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Yapay Zeka · Arduino Yazılımı · Robotik Tasarım

Özet

Her geçen gün artan hava kirliliği hava kalitesinin değişmesine neden olmaktadır. Bu etkilerden dolayı atmosfere salınan emisyonlar ve kirletici konsantrasyonları sürekli değişmektedir. Bu nedenle bu emisyonların izlenmesi gerekmektedir. Ancak bu istasyonlar genel ölçüm tespiti yapmakta ve mikro ölçekli alanları ölçmekte zorlanmaktadır. Bu çalışma kapsamında “Yapay Zeka” ile nasıl bir çözüm üretilebileceğini incelemektir. Bu hedef doğrultusunda “Ardunio yapay zeka tabanlı” ekipman ve yazılım geliştirilerek zamana bağlı PM2.5, PM10, CO, CO2, CH4, Nem, Sıcaklık verilerini ölçebilen bir cihaz oluşturulmuş, bu cihaz ve yapay zeka yazılımı sayesinde herhangi bir tasarımın hava kalitesine etkisi kolaylıkla ölçülebilmektedir. Çalışmanın bulgular kısmında cihazın oluşturulması ve emisyon verilerinin tahmini detaylı olarak anlatılacaktır. Çalışmanın sonunda yapay zeka ve yazılım ile oluşturulan bu cihazın peyzaj mimarlığı tasarımına nasıl entegre edilebileceği anlatılacaktır.

Abstract

Increasing air pollution day by day causes the air quality to change. Due to these effects, emissions and pollutant concentrations released into the atmosphere are constantly changing. Therefore, these emissions must be monitored. However, these stations make general measurement determination and have difficulty in measuring micro-scale areas. Within the scope of this study, it is to examine how a solution can be produced with "Artificial Intelligence". In line with this goal, "Ardunio artificial intelligence based" equipment and software were developed and a device that can measure time-dependent PM2.5, PM10, CO, CO2, CH4, Humidity, Temperature data was created.Thanks to this device and artificial intelligence software, the effect of any design on air quality can be easily measured. In the findings of the study, the creation of the device and estimation of emission data will be explained in detail. At the end of the study, it will be explained how this device created with artificial intelligence and software can be integrated into landscape architecture design.

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Bu Makaleye Atıf Yap

Onur, M. (2025). Yapay Zekanın Mekan Tasarımına Entegrasyonu. Recep Tayyip Erdoğan Üniversitesi Fen ve Mühendislik Bilimleri Dergisi, Cilt: 6 Sayı: 1, 183–194. https://doi.org/10.53501/rteufemud.1617603

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