Daha yaşanabilir şehirler için yapay zekâ destekli akıllı çevre teknolojileri ve uygulamalı örnekler

Öz

ÖZ Makale, daha yaşanabilir şehirler yaratmak için kritik öneme sahip kaynak verimliliği, kirlilik kontrolü ve veriye dayalı karar alma gibi hayati konuları ele almaktadır. Akıllı çevre teknolojilerinin kentsel sürdürülebilirliği ilerletmedeki kritik rolünü vurgulamaktadır. Bu bağlamda, hava ve su kalitesi, gürültü kirliliği ve enerji tüketimi gibi çevresel faktörlerin gerçek zamanlı izlenmesini sağlamak için IoT cihazlarının, sensör ağlarının ve gelişmiş analitik yöntemlerin entegre edilmesinin gerekliliğini vurgulamaktadır. Bu sürekli veri akışı, şehir yöneticilerinin ekolojik zorluklara hızlı bir şekilde yanıt vermelerini ve kaynak kullanımını optimize etmelerini sağlayacaktır. Çalışma, yapay zeka destekli akıllı IoT teknolojilerinin enerji yönetimi, akıllı şebekeler, karbon emisyonu azaltımı ve yenilenebilir enerji sistemlerinin şehirlere entegrasyonu gibi hayati konulara nasıl katkıda bulunabileceği konusunda ikna edici öneriler sunmaktadır. Altyapı, veri gizliliği ve yönetişimle ilgili zorlukları kabul ederken, yapay zekâ, IoT ve büyük veri analitiğinin ortak entegrasyonu, sürdürülebilir akıllı şehirler için dönüştürücü bir güç olarak sunulmaktadır. Makale, konuyu kentsel gelişim perspektifinden 14 uygulama örneği aracılığıyla ayrıntılı olarak incelemektedir. Bu bağlamda, nitel araştırma teknikleri olarak betimsel analiz ve gözlemsel yöntemler seçilmiştir.

Anahtar Kelimeler

• Akıllı Çevre Teknolojileri
• Enerji
• Ulaşım
• Atık
• Hava Kalitesi

AI-powered smart environmental technologies and applied examples for more livable cities

Öz

ABSTRACT The article addresses vital issues such as resource efficiency, pollution control, and data-driven decision-making, which are crucial for creating more liveable cities. It highlights the critical role of smart environmental technologies in advancing urban sustainability. In this regard, it highlights the need to integrate IoT devices, sensor networks, and advanced analytical methods to enable real-time monitoring of environmental factors such as air and water quality, noise pollution, and energy consumption. This continuous data flow will allow city managers to respond quickly to ecological challenges and optimize resource use. The study offers compelling recommendations for how AI-enabled smart IoT technologies can contribute to vital issues such as energy management, smart grids, carbon emission reduction, and the integration of renewable energy systems into cities. While acknowledging challenges related to infrastructure, data privacy, and governance, the joint integration of AI, IoT, and big data analytics is presented as a transformative force for sustainable smart cities. The article examines the topic in detail through 14 application examples from the urban development perspective. In this context, descriptive analysis and observational methods were adopted as qualitative research techniques.

Anahtar Kelimeler

• Smart Environmental Technologies
• Energy
• Transportation
• Waste
• Air Quality

Kaynakça

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