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Conference Paper
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Monitoring Grain Silos Instantly with IoT Based Control System

Year 2021, Volume: 14 , 15 - 23, 31.12.2021

Fatih Bascıftcı Tarık Unlu Atakan Dasdemır

https://doi.org/10.55549/epstem.1050154

Abstract

The need of preserving variable products’ amount and quality the best and the longest time aroused the need of storage. Especially cereals can be stored long times without losing their quality under favorable conditions. These favorable conditions can be provided with silos for cereals. The products stored in silos to be used in times of need, must be protected well and durable. Yet, humidity and temperature like factors can make silos unsafe. With the development of technology, especially the concept of Internet of Things, silos can be monitored in real-time and kept under control. Regular silos can be turned into smart silos thanks to systems created via Internet of Things. In this study, the humidity and temperature values of the cereals in a silo created as a prototype, measured with an IoT based real-time system and data gathered were monitored instantly via a web-based software. Hence, without the need of much manpower, cereals could be kept under favorable temperature and humidity levels.

Keywords

IoT Silo Sensor Real-time Communication Node MCU

References

  • Baykara, C. (2018). Tahıl torbalama sistemlerinde (silobag) kablosuz algılayıcı ağ (KAA) temelli tahıl durum izleme. [Erciyes University Institute of Science and Technology Master Thesis]. 1-109.
  • Dalmış, D. (2018). Ardgermeli betonarme siloların tasarım esasları. [İstanbul Technical University Institute of Science and Technology. Master Thesis]. 1-227.
  • Dizlek, H. (2012). Depolama sırasında tahıllarda meydana gelen fiziksel ve kimyasal değişiklikler. Gıda ve Yem Bilimi Teknolojisi Dergisi, 12, 49-57.
  • Duysak H., & Yiğit E. (2020). Machine learning based quantity measurement method for grain silos. Journal of Department of Electrical Electronics Engineering,Karamanog ̆lu Mehmetbey Unıversity, 1-8.
  • Erbaş M., Durak A.N., & Arslan Tontul S. (2013). Tahıl depolamada zararların oluşum mekanizmaları ve depolamanın temel prensipleri. Miller/Değirmenci, 66-78.
  • Gupta K., & Rakesh N. (2018). IoT based automobile air pollution monitoring system. 8th International Conferenceon Cloud Computing,Data Science & Engineering, 503-508.
  • Gupta K., & Rakesh N. (2018). IoT based automation and solution for medical drug storage: smart drug store. 8th International Conferenceon Cloud Computing,Data Science & Engineering, 497-502.
  • Kumar, J., Gupta, N., Kumari, A., & Kumari, S. (2019, January). Automatic plant watering and monitoring system using NodeMCU. In 2019 9th International Conference on Cloud Computing, Data Science & Engineering (Confluence) (545-550). IEEE.
  • Mondal A, & Rehena Z. (2018), IoT based intelligent agriculture field monitoring system. 8th International Conferenceon Cloud Computing,Data Science & Engineering, 625-629.
  • Mısır, O. (2015). Kontrol alan ağı protokollü sensör ağı ile silo kontrol dolum sistemi. [Fırat University Institute of Science and Technology Master Thesis]. 1-83.
  • Özel, K. (2007). Çelik hububat silolarının tasarım esasları. [Selçuk University Institute of Science and Technology Master Thesis]. 1-186.
  • Rehena Z. (2018). IoT based intelligent agriculture field monitoring system. 2018 8th International Conference on Cloud Computing, Data Science & Engineering, 625-62.
  • Satuk, S. (2011), Silo otomasyon sisteminin bulanık mantık ile kontrolü. [Afyon Kocatepe University Institute of Science and Technology Master Thesis]. 1-87.
  • Yaldıran, F. (2018). Bir buğday silosunun ansys programı kullanılarak analizi. [Karabük University Institute of Science and Technology Master Thesis]. 1-130.

Year 2021, Volume: 14 , 15 - 23, 31.12.2021

Fatih Bascıftcı Tarık Unlu Atakan Dasdemır

https://doi.org/10.55549/epstem.1050154

Abstract

References

  • Baykara, C. (2018). Tahıl torbalama sistemlerinde (silobag) kablosuz algılayıcı ağ (KAA) temelli tahıl durum izleme. [Erciyes University Institute of Science and Technology Master Thesis]. 1-109.
  • Dalmış, D. (2018). Ardgermeli betonarme siloların tasarım esasları. [İstanbul Technical University Institute of Science and Technology. Master Thesis]. 1-227.
  • Dizlek, H. (2012). Depolama sırasında tahıllarda meydana gelen fiziksel ve kimyasal değişiklikler. Gıda ve Yem Bilimi Teknolojisi Dergisi, 12, 49-57.
  • Duysak H., & Yiğit E. (2020). Machine learning based quantity measurement method for grain silos. Journal of Department of Electrical Electronics Engineering,Karamanog ̆lu Mehmetbey Unıversity, 1-8.
  • Erbaş M., Durak A.N., & Arslan Tontul S. (2013). Tahıl depolamada zararların oluşum mekanizmaları ve depolamanın temel prensipleri. Miller/Değirmenci, 66-78.
  • Gupta K., & Rakesh N. (2018). IoT based automobile air pollution monitoring system. 8th International Conferenceon Cloud Computing,Data Science & Engineering, 503-508.
  • Gupta K., & Rakesh N. (2018). IoT based automation and solution for medical drug storage: smart drug store. 8th International Conferenceon Cloud Computing,Data Science & Engineering, 497-502.
  • Kumar, J., Gupta, N., Kumari, A., & Kumari, S. (2019, January). Automatic plant watering and monitoring system using NodeMCU. In 2019 9th International Conference on Cloud Computing, Data Science & Engineering (Confluence) (545-550). IEEE.
  • Mondal A, & Rehena Z. (2018), IoT based intelligent agriculture field monitoring system. 8th International Conferenceon Cloud Computing,Data Science & Engineering, 625-629.
  • Mısır, O. (2015). Kontrol alan ağı protokollü sensör ağı ile silo kontrol dolum sistemi. [Fırat University Institute of Science and Technology Master Thesis]. 1-83.
  • Özel, K. (2007). Çelik hububat silolarının tasarım esasları. [Selçuk University Institute of Science and Technology Master Thesis]. 1-186.
  • Rehena Z. (2018). IoT based intelligent agriculture field monitoring system. 2018 8th International Conference on Cloud Computing, Data Science & Engineering, 625-62.
  • Satuk, S. (2011), Silo otomasyon sisteminin bulanık mantık ile kontrolü. [Afyon Kocatepe University Institute of Science and Technology Master Thesis]. 1-87.
  • Yaldıran, F. (2018). Bir buğday silosunun ansys programı kullanılarak analizi. [Karabük University Institute of Science and Technology Master Thesis]. 1-130.
There are 14 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Articles
Authors

Fatih Bascıftcı

Tarık Unlu

Atakan Dasdemır

Publication Date December 31, 2021
Published in Issue Year 2021 Volume: 14

Cite

APA Bascıftcı, F., Unlu, T., & Dasdemır, A. (2021). Monitoring Grain Silos Instantly with IoT Based Control System. The Eurasia Proceedings of Science Technology Engineering and Mathematics, 14, 15-23. https://doi.org/10.55549/epstem.1050154
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