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Akıllı Hava İstasyonu ile IoT Tabanlı Hava Durumu İzleme Sistemi

Year 2021, Issue: 23, 563 - 571, 30.04.2021
https://doi.org/10.31590/ejosat.886025

Abstract

İklim koşullarında meydana gelen değişiklikler, küresel ısınma ile birlikte ortaya çıkan ve insan hayatını pek çok yönden olumsuz olarak etkileyen problemlerdendir. Hava durumunda meydana gelen ani değişiklikler yüzünden sel, heyelan, fırtına gibi doğal afetler meydana gelmekte, can ve mal kayıpları yaşanmaktadır. Bu nedenle hava durumundaki değişikliklerin ve hava koşullarının doğru bir şekilde tespit edilmesi ve takip edilmesi büyük önem arz etmektedir. Bir yerin ya da bölgenin hava koşulları hakkında veri toplamak amacıyla hava istasyonları kullanılmaktadır. Bu çalışma kapsamında IoT tabanlı düşük maliyetli bir hava durumu izleme sistemi gerçekleştirilmiştir. Sistem içerisinde Raspberry Pi 3 kontrolcü kartı, sıcaklık, nem, basınç, yağmur, rüzgâr hızı ve rüzgâr yönü sensörleri kullanılmıştır. Sensörlerden alınan analog ve dijital veriler işlenerek hava durumu ile ilgili değerler elde edilmiştir. Hazırlanan web arayüzü aracılığıyla internet üzerinden hava durumu verileri izlenmektedir. Gerçekleştirilen hava istasyonunun mobil platform şeklinde tasarlanması, herhangi bir bölgedeki hava durumunun izlenmesi için kullanılabilmesine imkân sağlamaktadır. İstasyon ile hava durumunun izlenmesinin yanı sıra sensörlerden elde edilen veriler kullanılarak hava durumunun tahmin edilmesi de sağlanmıştır.

References

  • Aponte-Roa, D. A., Montalvan, L. B., Velazquez, C., Espinoza, A. A., Velazquez, L. F., Serrano, R, 2018. Evaluation of a low-cost, solar-powered weather station for small-scale wind farm site selection. IEEE International Instrumentation and Measurement Technology Conference (I2MTC), 14-17 May, Houston, TX, USA, 1-5.
  • Barkunan, S.R., Bhanumathi, V., Sethuram, J., 2019. Smart sensor for automatic drip irrigation system for paddy cultivation. Computers and Electrical Engineering, 73, 180-193.
  • Baste, P., Dighe, D.D., 2017. Low Cost Weather Monitoring Station Using Raspberry Pi. International Research Journal of Engineering and Technology (IRJET), 4 (5), 3184-3189.
  • Devaraju, J.T., Suhas, K.R., Mohana, H.K., Vijaykumar A.P., 2015. Wireless Portable Microcontroller based Weather Monitoring Station. Measurement, 76 (2015), 189-200.
  • Divya, M., Subhash, N., Vishnu, P., Tejesh, P., 2020. Smart Health Care Monitoring Based on Internet of Things (IoT). International Journal of Scientific Research and Engineering Development, 3 (1), 409-414.
  • Eriş, Ç., Bölük, P. 2021. Nesnelerin İnternetinde Kullanılan Kablosuz Algılayıcı Cihazlar için Bilgi Merkezli Ağ Mimarisinin Uygulanabilirliği Araştırması. Avrupa Bilim ve Teknoloji Dergisi, (21), 160-171.
  • Fente, D.N., Singh, D.K., 2018. Weather Forecasting Using Artificial Neural Network. 2nd International Conference on Inventive Communication and Computational Technologies (ICICCT 2018), 20-21 April, Coimbatore, India, 1757-1761.
  • Haque, M. I., Shatil, A.H.MD., Tusar, A.N., Hossain, M., Rahman, M. H., 2019. Renewable Powered Portable Weather Update Station. 2019 International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST), 10-12 January, Dhaka, Bangladesh, 374-377.
  • Hussein, Z.K., Hadi, J.H., Abdul-Mutaleb, M.R., Mezaal, Y.Z., 2020. Low cost smart weather station using Arduino and ZigBee. TELKOMNIKA Telecommunication, Computing, Electronics and Control, 18 (1), 282-288.
  • Katyal, A., Yadav, R., Pandey, M., 2016. Wireless Arduino Based Weather Station. International Journal of Advanced Research in Computer and Communication Engineering, 5 (4), 274-276.
  • Kishorebabu, V., Sravanthi, R., 2020. Real Time Monitoring of Environmental Parameters Using IOT. Wireless Personal Communications, 1-24, https://doi.org/10.1007/s11277-020-07074-y.
  • Kusriyanto, M., Putra, A.A., 2018. Weather Station Design Using IoT Platform Based On Arduino Mega. International Symposium on Electronics and Smart Devices (ISESD), 23-24 October, Bandung, Indonesia, 1-4.
  • Li, H., Ochani, M.K., Zhang, H., Zhang, L., 2017. Design of micro-automatic weather station for modern power grid based on STM32. The Journal of Engineering, 2017 (13), 1629-1634.
  • Mahbub, M., 2020. A smart farming concept based on smart embedded electronics, internet of things and wireless sensor network. Internet of Things, 9, 100161.
  • Muck, P.Y., Homam, M.J., 2018. Iot Based Weather Station Using Raspberry Pi 3. International Journal of Engineering & Technology, 7 (2018), 145-148.
  • Nsabagwa, M., Byamukama, M., Kondela, E., Otim, J.S., 2019. Towards a robust and affordable Automatic Weather Station. Development Engineering, 4, 1-9
  • Ram K.S.S, Gupta, A.N.P.S., 2016. IoT based Data Logger System for weather monitoring using Wireless sensor networks. International Journal of Engineering Trends and Technology (IJETT), 32 (2), 71-76.
  • Saglam, A., Taş, M., Baykan, N.A. 2020. Geri Dönüştürülebilir Atıkların Materyallerine Göre Sınıflandırılması için Raspberry Pi Tabanlı Donanım Geliştirilmesi. Avrupa Bilim ve Teknoloji Dergisi, (Özel Sayı), 30-38.
  • Saini, H., Thakur, A., Ahuja, S., Sabharwal, N. & Kumar, N., 2016. Arduino Based Automatic Wireless Weather Station with Remote Graphical Application and Alerts. 3rd International Conference on Signal Processing and Integrated Networks (SPIN), 11-12 February, Noida, India, 605-609.
  • Utama, Y.A.K., Widianto, Y., Sardjono, A.T., Kusuma, H., 2018. Design A Low Cost Wind Direction Sensor With High Accuracy. 5th International Conference on Information Technology, Computer, and Electrical Engineering (ICITACEE), 27-28 September, Semarang, Indonesia, 33-38.
  • Üçgün, H., Kaplan, Z.K., 2017. Arduino based weather forecasting station. International Conference on Computer Science and Engineering (UBMK), 5-8 October, Antalya, Turkey.

IoT Based Weather Monitoring System with Smart Weather Station

Year 2021, Issue: 23, 563 - 571, 30.04.2021
https://doi.org/10.31590/ejosat.886025

Abstract

Changes in climatic conditions are problems that arise with global warming and affect human life in many ways. Due to sudden changes in weather conditions, natural disasters may occur such as floods, landslides, storms and loss of life and property may experience. Therefore, it is very important to accurately detect and monitoring weather condition changes and weather conditions. Weather stations are used to collect data about the weather conditions of a place or region. In this study, IoT based a low cost weather condition monitoring system has been realized. Raspberry Pi 3 controller card, temperature, humidity, pressure, rain, wind speed and wind direction sensors are used in the system. Analog and digital data received from the sensors were processed to obtain weather condition values. Weather condition information is monitored via the web interface. The design of the realized weather station in the form of a mobile platform allows it to be used for monitoring of weather condition in any region. In addition to monitoring the weather condition with the station, it was provided to estimate the weather condition by using the data obtained from the sensors.

References

  • Aponte-Roa, D. A., Montalvan, L. B., Velazquez, C., Espinoza, A. A., Velazquez, L. F., Serrano, R, 2018. Evaluation of a low-cost, solar-powered weather station for small-scale wind farm site selection. IEEE International Instrumentation and Measurement Technology Conference (I2MTC), 14-17 May, Houston, TX, USA, 1-5.
  • Barkunan, S.R., Bhanumathi, V., Sethuram, J., 2019. Smart sensor for automatic drip irrigation system for paddy cultivation. Computers and Electrical Engineering, 73, 180-193.
  • Baste, P., Dighe, D.D., 2017. Low Cost Weather Monitoring Station Using Raspberry Pi. International Research Journal of Engineering and Technology (IRJET), 4 (5), 3184-3189.
  • Devaraju, J.T., Suhas, K.R., Mohana, H.K., Vijaykumar A.P., 2015. Wireless Portable Microcontroller based Weather Monitoring Station. Measurement, 76 (2015), 189-200.
  • Divya, M., Subhash, N., Vishnu, P., Tejesh, P., 2020. Smart Health Care Monitoring Based on Internet of Things (IoT). International Journal of Scientific Research and Engineering Development, 3 (1), 409-414.
  • Eriş, Ç., Bölük, P. 2021. Nesnelerin İnternetinde Kullanılan Kablosuz Algılayıcı Cihazlar için Bilgi Merkezli Ağ Mimarisinin Uygulanabilirliği Araştırması. Avrupa Bilim ve Teknoloji Dergisi, (21), 160-171.
  • Fente, D.N., Singh, D.K., 2018. Weather Forecasting Using Artificial Neural Network. 2nd International Conference on Inventive Communication and Computational Technologies (ICICCT 2018), 20-21 April, Coimbatore, India, 1757-1761.
  • Haque, M. I., Shatil, A.H.MD., Tusar, A.N., Hossain, M., Rahman, M. H., 2019. Renewable Powered Portable Weather Update Station. 2019 International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST), 10-12 January, Dhaka, Bangladesh, 374-377.
  • Hussein, Z.K., Hadi, J.H., Abdul-Mutaleb, M.R., Mezaal, Y.Z., 2020. Low cost smart weather station using Arduino and ZigBee. TELKOMNIKA Telecommunication, Computing, Electronics and Control, 18 (1), 282-288.
  • Katyal, A., Yadav, R., Pandey, M., 2016. Wireless Arduino Based Weather Station. International Journal of Advanced Research in Computer and Communication Engineering, 5 (4), 274-276.
  • Kishorebabu, V., Sravanthi, R., 2020. Real Time Monitoring of Environmental Parameters Using IOT. Wireless Personal Communications, 1-24, https://doi.org/10.1007/s11277-020-07074-y.
  • Kusriyanto, M., Putra, A.A., 2018. Weather Station Design Using IoT Platform Based On Arduino Mega. International Symposium on Electronics and Smart Devices (ISESD), 23-24 October, Bandung, Indonesia, 1-4.
  • Li, H., Ochani, M.K., Zhang, H., Zhang, L., 2017. Design of micro-automatic weather station for modern power grid based on STM32. The Journal of Engineering, 2017 (13), 1629-1634.
  • Mahbub, M., 2020. A smart farming concept based on smart embedded electronics, internet of things and wireless sensor network. Internet of Things, 9, 100161.
  • Muck, P.Y., Homam, M.J., 2018. Iot Based Weather Station Using Raspberry Pi 3. International Journal of Engineering & Technology, 7 (2018), 145-148.
  • Nsabagwa, M., Byamukama, M., Kondela, E., Otim, J.S., 2019. Towards a robust and affordable Automatic Weather Station. Development Engineering, 4, 1-9
  • Ram K.S.S, Gupta, A.N.P.S., 2016. IoT based Data Logger System for weather monitoring using Wireless sensor networks. International Journal of Engineering Trends and Technology (IJETT), 32 (2), 71-76.
  • Saglam, A., Taş, M., Baykan, N.A. 2020. Geri Dönüştürülebilir Atıkların Materyallerine Göre Sınıflandırılması için Raspberry Pi Tabanlı Donanım Geliştirilmesi. Avrupa Bilim ve Teknoloji Dergisi, (Özel Sayı), 30-38.
  • Saini, H., Thakur, A., Ahuja, S., Sabharwal, N. & Kumar, N., 2016. Arduino Based Automatic Wireless Weather Station with Remote Graphical Application and Alerts. 3rd International Conference on Signal Processing and Integrated Networks (SPIN), 11-12 February, Noida, India, 605-609.
  • Utama, Y.A.K., Widianto, Y., Sardjono, A.T., Kusuma, H., 2018. Design A Low Cost Wind Direction Sensor With High Accuracy. 5th International Conference on Information Technology, Computer, and Electrical Engineering (ICITACEE), 27-28 September, Semarang, Indonesia, 33-38.
  • Üçgün, H., Kaplan, Z.K., 2017. Arduino based weather forecasting station. International Conference on Computer Science and Engineering (UBMK), 5-8 October, Antalya, Turkey.
There are 21 citations in total.

Details

Primary Language Turkish
Subjects Engineering
Journal Section Articles
Authors

Hakan Üçgün 0000-0002-9448-0679

Zeynep Kübra Kaplan 0000-0002-8154-2535

Uğur Yüzgeç 0000-0002-5364-6265

Publication Date April 30, 2021
Published in Issue Year 2021 Issue: 23

Cite

APA Üçgün, H., Kaplan, Z. K., & Yüzgeç, U. (2021). Akıllı Hava İstasyonu ile IoT Tabanlı Hava Durumu İzleme Sistemi. Avrupa Bilim Ve Teknoloji Dergisi(23), 563-571. https://doi.org/10.31590/ejosat.886025