Deep Learning and Internet of Things (IoT) Based Monitoring System for Miners

Cetinkaya T., Senan S., Orman Z.

Journal of Mining Science, cilt.58, sa.2, ss.325-337, 2022 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 58 Sayı: 2
  • Basım Tarihi: 2022
  • Doi Numarası: 10.1134/s1062739122020156
  • Dergi Adı: Journal of Mining Science
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Aerospace Database, Communication Abstracts, Compendex, INSPEC, Metadex, Civil Engineering Abstracts
  • Sayfa Sayıları: ss.325-337
  • Anahtar Kelimeler: Internet of Things (IoT), miner monitoring, artificial neural networks, deep learning, LSTM model
  • İstanbul Gelişim Üniversitesi Adresli: Evet

Özet

© 2022, Pleiades Publishing, Ltd.Abstract: In this study, a miner monitoring system is designed using the Deep Learning (DL) approach and the IoT technology together. It is aimed to determine the area where the miners are located while a possible accident occurs by the proposed system. Experiments were carried out to analyze the effectiveness of the proposed system and the performance evaluations were made. The best result was obtained with an accuracy rate of 97.14%. This rate indicates that the designed miner monitoring system can be used effectively in practice.