IoT Tabanlı Sokak Aydınlatması ve Bilgisayar Destekli Kontrolü

Year 2021, Volume: 10 Issue: 2, 265 - 274, 31.12.2021

Turgut Özseven , Merve Nur Sağlam

https://doi.org/10.46810/tdfd.997116

Abstract

Geleneksel aydınlatma sistemlerinin enerji verimliliği, arıza takibi ve uzaktan kontrol eksikliği gibi birçok dezavantajı bulunmaktadır. Bu dezavantajlar gereksiz enerji tüketimine, ekstra iş gücüne, güvenlik tehditlerine ve takip eksikliğine neden olmaktadır. Bu sorunların üstesinden gelmek için bu çalışmada geleneksel aydınlatma yerine IoT tabanlı akıllı aydınlatma prototipi geliştirilmiş ve bilgisayar destekli kontrol gerçekleştirilmiştir. Enerji verimliliğini sağlamak için hareket sensörlerinden veri alınarak sokak lambalarının ışık şiddeti yoğunluğa göre ayarlanmıştır. LED armatür sensörlerinden elde edilen arıza takibi ve yoğunluk gibi veriler buluta aktarılarak mekandan bağımsız olarak kontrol edilmiştir. Böylece bulut üzerindeki veriler ThingSpeak platformu üzerinden kolaylıkla takip edilebilmektedir. Görselleştirilmiş ThingSpeak web arayüzü ile LED armatürün elektrik gücü, çekilen akım, sıcaklık değeri, ortam ışık değeri, konum bilgisi, hareket algılama ve uzaktan anahtarlama, mekandan bağımsız olarak yapılabilmektedir.

Keywords

Nesnelerin İnterneti, Akıllı Şehir, LED Aydınlatma, Akıllı Sokak Aydınlatması, Lora, ThingSpeak

IoT Based Street Lighting and Computer Aided Control

Abstract

Traditional lighting systems have many disadvantages such as energy efficiency, failure tracking and lack of remote control. These disadvantages cause unnecessary energy consumption, extra labor, security threats and lack of follow-up. To overcome these problems, in this study, instead of traditional lighting, an IoT-based smart lighting prototype was developed and computer-assisted control was performed. In order to ensure energy efficiency, the light intensity of the street lamps was adjusted according to the intensity by taking data from the motion sensors. Data such as fault tracking and density obtained from LED armature sensors were transferred to the cloud and controlled independently of the venue. Thus, the data on the cloud can be easily tracked through the ThingSpeak platform. With the visualized ThingSpeak web interface, the electrical power, current drawn, temperature value, ambient light value, location information, motion detection and remote switching of the LED armature can be done independently of the location.

Keywords

Internet of Things, Smart City, LED Lighting, Smart Street Lighting, Lora, ThingSpeak

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