ENVIRONMENTAL NOISE TRACKING SYSTEM BASED ON WEB OF THINGS

Öz

Environmental noise is a collection of unwanted, disturbing or health-threatening sounds. As in the whole world, noise pollution is one of the common types of pollution that affect public health and comfort in different forms in our country. The level of  noise in an environment affects human health negatively in terms of physical, psychological, physiological and performance. In this system, based on the environment we work on, web objects based environmental noise monitoring system is aimed to be made. In this study, an environmental noise monitoring network has been established which enables monitoring of indoor areas throughout the day by using sound sensor so that this system can be accessed from any environment where internet is available. As a result, remote environmental noise monitoring is provided in real time. In this study, the objective of the noise monitoring network as a sub-based web object is a project which is intended to control the problems arising from the public health, labor force, industrialization and the development of modern life. As a result of the researches and observations, it is recommended to present them to the field in order to provide awareness and sensitivity to environmental noise pollution. The measuring accuracy of the system was tested with the HT-80A noise meter.

Anahtar Kelimeler

• Noise,Internet of Things,Web Of Things,Tracking System

Kaynakça

1. [1] Göçen, R. K., Sarı, E. M., Erman, A. T. (2016). Noisemap: An environmental noise monitoring sensor network. 24th Signal Processing and Communication Application Conference, SIU 2016.
2. [2] Çevre ve Orman Bakanlığı Çevre Yönetimi Genel Müdürlüğü. (2011). Çevresel Gürültü Ölçüm ve Değerlendirme Kılavuzu. 3-85.
3. [3] Çevre ve Orman Bakanlığı. (2010). “Çevresel Gürültünün Değerlendirilmesi ve Yönetimi Yönetmeliği (2002/49/EC)”, 1-13.
4. [4] Biçen, Y., Yaman, O. (2019). An Internet of Things (IoT) based Monitoring System for Oil-immersed Transformers. Balkan Journal of Electrical & Computer Engineering, Vol. 7, No. 3, 226-234.
5. [5] Gökrem, L., Bozuklu, M. (2016). Nesnelerin İnterneti: Yapılan Çalışmalar ve Ülkemizdeki Mevcut Durum. Gaziosmanpaşa Bilimsel Araştırma Dergisi, (13), 47-68.
6. [6] Postalcıoğlu, S., Kurt, İ. (2018). Web Tabanlı Sıcaklık Takip Sistemi. Kilis 7 Aralık Üniversitesi Fen ve Mühendislik Dergisi, Cilt 2, Sayı 1, 56-63.
7. [7] Durgun, M. Web Nesneleri Temelli Ağ Mimarisi Tasarımı ve Uygulaması. Tokat Gaziosmanpaşa Üniversitesi Fen Bilimleri Enstitüsü, Doktora Tezi, Mart, 2019.
8. [8] Baytürk, M., Çetin, G. (2013). Gömülü Sunucu ile Tasarlanmış İnternet Tabanlı Sera Otomasyon Sistemi Uygulaması. Bilişim Teknolojileri Dergisi, 6(2), 53-57.

9. [9] Candan, Z. Gerçek Zamanlı Sistemlerin Web Üzerinde Kontrolünün Gerçekleştirilmesi. Bahçeşehir Üniversitesi, Fen Bilimleri Enstitüsü, Yüksek Lisans Tezi, 1-65, 2008.
10. [10] Dandıl, E. ,Gültekin S. (2017). Web Service-based Automation System for Duration Scheduling and Remote Control of Traffic Signal Lights” , International Conference on Computer Science and Engineering (UBMK), 948-953.
11. [11] Robotik Sistem, Arduino Nedir, 2019. http://www.robotiksistem.com/.arduino_nedir_arduino_özellikleri.html.
12. [12] Seed Studio, Grove-Loudness Sensor, 2019. https:/wiki.seedstudio.com/Grove-Loundness_Sensor/.
13. [13] Maker Robotistan, ESP8266 Dersleri 1: Tanıtım ve Güncelleme, 2019, https:/maker.robotistan.com/.esp8266-ile-iot-dersleri-1-esp8266-modulunu-guncelleme/. [Accessed:3-mart-2016]
14. [14] Güriş, S., Çağlayan, E., Güriş, B. EViews ile Temel Ekonometri. Der yayınları, 2017.
15. [15] Ergün, M. SSPS for Windows. Bilimsel Araştırma İstatistik Uygulamaları. Ocak yayınları, 1995.
16. [16] Orhunbilge, N. Uygulamalı Regresyon ve Korelasyon Analizi. Nobel Akademik Yayıncılık, 2017.