Ortam Destekli Yaşam için IoT Tabanlı Hava Kalitesi Ölçüm ve Uyarı Sistemi

İç hava kalitesi parametreleri, verimli ve sağlıklı bir Ortam Destekli Yaşam (ODY) ortamı oluşturmak için son derece önemlidir, ancak çoğunlukla iç hava kalitesi parametreleri, sağlıklı olarak tanımlanan değerlerin oldukça üzerindedir. Hayatımızın büyük bölümünü kapalı alanlarda geçiriyoruz. Hava kalitesi problemlerini tespit etmek ve hava kalitesini iyileştirmek ancak hava kalitesinin gerçek zamanlı olarak izlenmesiyle mümkündür. . Günümüzde, ev otomasyonu popüler bir trend haline gelmiştir ve akıllı evlere olan talep , tüketicilerin bu alanda geliştirilen yeni teknolojilerden daha fazla haberdar olmalarıyla giderek artmaktadır. Bu çalışmada, IoT tabanlı iç mekan hava kalitesi ölçüm ve uyarı sistemi ile özellikle yaşlıların ve çocukların evlerinde güvenle yaşamasına yardımcı olmak için bir AAL sistemi önerilmiştir. Önerilen AAL sistemi, yeni nesil gömülü sistem mimarisine sahip ESP32 denetleyiciden ve düşük maliyetli farklı hava kalitesi sensörlerinden oluşur. Ayrıca AAL sistemi, Blynk IoT platformuyla geliştirilen mobil kullanıcı arayüzü aracılığıyla CO2, CO, PM10, NO2 , sıcaklık ve nem gibi iç mekan hava kalitesi parametrelerinin gerçek zamanlı izlenmesini sağlar. İç mekan hava kalitesi parametreleri belirtilen eşik değerlerin üzerine çıktığında mobil uygulama kullanıcılara uyarı bildirimleri gönderir. Bu bildirimler sayesinde hane halkı, doğal havalandırma gibi basit önlemlerle yaşlı ve çocukların sağlığını tehdit eden faktörlere karşı en kısa sürede gerekli önlemleri alabilir. Sonuçlar, önerilen ölçüm sistemin düşük maliyetli, açık kaynaklı teknoloji, kolay kurulum ve taşınabilir özellikleriyle AAL sistemlerine önemli ölçüde katkıda bulunabileceğini göstermiştir.

Anahtar Kelimeler:

Nesnelerin İnterneti, Ortam Destekli Yaşam, İç Hava Kalitesi, ESP-32, Blynk

An IoT Based Air Quality Measurement and Warning System for Ambient Assisted Living

Indoor air quality parameters are extremely important for creating an efficient and healthy Ambient Assisted Living (AAL) environment, but mostly indoor air quality parameters are well above the values defined as healthy. We spend most of our lives indoors. Detecting air quality problems and improving air quality is only possible by monitoring air quality in real time. Today, smart home automation has become a popular trend, and consumers are increasingly aware of new technologies developed in this area, hence the demand for smart homes is growing. In this study, with the IoT-based indoor air quality measurement and warning system, an AAL system was proposed to help especially elderly and children, to live safely in their homes. The proposed AAL system consists of a ESP32 controller with a new generation embedded system architecture and low cost different air quality sensors. In addition, the AAL system provides real-time monitoring of indoor air quality parameters such as CO2, CO, PM10, NO2, temperature and humidity via the mobile user interface developed with the Blynk IoT platform. The mobile application sends warning notifications to users if the indoor air quality parameters exceeded the specified threshold values. Thanks to these notifications, households can take the necessary measures as soon as possible against the factors that threaten the health of the elderly and children with simple measures such as natural ventilation. The results showed that the proposed measurement system can contribute significantly to AAL systems with its low cost, open source technology, easy installation and mobility.

Keywords:

Internet of things, Ambient Assisted Living, indoor air quality, ESP-32, Blynk,

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