Research Article
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Year 2021, Volume: 1 Issue: 1, 41 - 44, 30.08.2021

Abstract

Project Number

2021-TYL-FEBE-0009

References

  • [1] K. Çelik, S. Güleryüz, and H. Özköse, “4. Endüstri Devrimine Kuramsal Bakış,” Avrasya Sos. ve Ekon. Araştırmaları Derg., vol. 5, no. 9, pp. 86–95, 2018.
  • [2] M. A. K. Bahrin, M. F. Othman, N. H. N. Azli, and M. F. Talib, “Industry 4.0: a review on industrial automation and robotic,” Jurnal Teknologi, vol. 78, no. 6–13. Penerbit UTM Press, pp. 137–143, Jun. 28, 2016, doi: 10.11113/jt.v78.9285.
  • [3] N. S. Pamuk and M. Soysal, “Yeni Sanayi Devrimi Üzerine Bir İnceleme,” Veriml. Derg., no. 1, pp. 41–66, 2018.
  • [4] M. Hanefi Calp, E. Bahçekapılı, and M. Berigel, “Endüstri 4.0 Kapsamında Akıllı Fabrikaların İncelenmesi,” IMISC, Jan. 2019. doi: 10.6084/M9.FIGSHARE.7564886.V1.
  • [5] D. Zhang, J. Wan, C. H. Hsu, and A. Rayes, “Industrial technologies and applications for the Internet of Things,” Computer Networks, vol. 101. pp. 1–4, 2016, doi: 10.1016/j.comnet.2016.02.019.
  • [6] Z. Shu, J. Wan, D. Zhang, and D. Li, “Cloud-Integrated Cyber-Physical Systems for Complex Industrial Applications,” Mob. Networks Appl., vol. 21, no. 5, pp. 865–878, 2016, doi: 10.1007/s11036-015-0664-6.
  • [7] F. Terroso-Saenz, A. González-Vidal, A. P. Ramallo-González, and A. F. Skarmeta, “An open IoT platform for the management and analysis of energy data,” Futur. Gener. Comput. Syst., vol. 92, pp. 1066–1079, 2019, doi: 10.1016/j.future.2017.08.046.
  • [8] A. Rashed et al., “Integrated IoT medical platform for remote healthcare and assisted living,” in 2017 Proceedings of the JapanAfrica Conference on Electronics, Communications, and Computers, JAC-ECC 2017, 2018, vol. 2018-Janua, pp. 160–163, doi: 10.1109/JEC-ECC.2017.8305801.
  • [9] M. Taştan, “Nesnelerin İnterneti Tabanlı Akıllı Sulama ve Uzaktan İzleme Sistemi,” Eur. J. Sci. Technol., pp. 229–236, 2019, doi: 10.31590/ejosat.525149.
  • [10] M. Kumar, V. M. Shenbagaraman, R. N. Shaw, and A. Ghosh, “Predictive data analysis for energy management of a smart factory leading to sustainability,” in Lecture Notes in Electrical Engineering, 2021, vol. 661, pp. 765–773, doi: 10.1007/978-981-15-4692- 1_58.
  • [11] S. Hamilton, “Real-Time Big Data Analytics, Sustainable Industry 4.0 Wireless Networks, and Internet of Things-based Decision Support Systems in Cyber-Physical Smart Manufacturing,” Econ. Manag. Financ. Mark., vol. 16, no. 2, pp. 84-94, 2021, doi: 10.22381/emfm16220215.
  • [12] “NodeMcu DHT11 & MQTT « osoyoo.com.” https://osoyoo.com/2018/01/17/nodemcu-dht11-mqtt/ (accessed Jun. 15, 2021)

Development of Android-based Internet of Things Application for Data Tracking in Smart Marble Factories

Year 2021, Volume: 1 Issue: 1, 41 - 44, 30.08.2021

Abstract

Internet of Things is one of the most important technological components of Industry 4.0. Internet of Things technology has become an even more critical research subject by using it with cloud computing technology that is constantly evolving. In this study, it is aimed to contribute to digital transformation in the marble factories. Therefore, an Android-based Internet of Things application has been developed for data tracking during the drying stage of the marble. NodeMCU, DHT11 temperature and humidity sensor, Firebase RealTime Database have been used to build the data tracking system. This system has been supported by the Android-based mobile application created in the Android Studio Integrated Development Environment using Java programming language. As a result, losses during the production stage can be minimized by ensuring data tracking during the marble's drying phase.

Supporting Institution

Izmir Katip Celebi University of Scientific Research Projects Coordinatorship

Project Number

2021-TYL-FEBE-0009

References

  • [1] K. Çelik, S. Güleryüz, and H. Özköse, “4. Endüstri Devrimine Kuramsal Bakış,” Avrasya Sos. ve Ekon. Araştırmaları Derg., vol. 5, no. 9, pp. 86–95, 2018.
  • [2] M. A. K. Bahrin, M. F. Othman, N. H. N. Azli, and M. F. Talib, “Industry 4.0: a review on industrial automation and robotic,” Jurnal Teknologi, vol. 78, no. 6–13. Penerbit UTM Press, pp. 137–143, Jun. 28, 2016, doi: 10.11113/jt.v78.9285.
  • [3] N. S. Pamuk and M. Soysal, “Yeni Sanayi Devrimi Üzerine Bir İnceleme,” Veriml. Derg., no. 1, pp. 41–66, 2018.
  • [4] M. Hanefi Calp, E. Bahçekapılı, and M. Berigel, “Endüstri 4.0 Kapsamında Akıllı Fabrikaların İncelenmesi,” IMISC, Jan. 2019. doi: 10.6084/M9.FIGSHARE.7564886.V1.
  • [5] D. Zhang, J. Wan, C. H. Hsu, and A. Rayes, “Industrial technologies and applications for the Internet of Things,” Computer Networks, vol. 101. pp. 1–4, 2016, doi: 10.1016/j.comnet.2016.02.019.
  • [6] Z. Shu, J. Wan, D. Zhang, and D. Li, “Cloud-Integrated Cyber-Physical Systems for Complex Industrial Applications,” Mob. Networks Appl., vol. 21, no. 5, pp. 865–878, 2016, doi: 10.1007/s11036-015-0664-6.
  • [7] F. Terroso-Saenz, A. González-Vidal, A. P. Ramallo-González, and A. F. Skarmeta, “An open IoT platform for the management and analysis of energy data,” Futur. Gener. Comput. Syst., vol. 92, pp. 1066–1079, 2019, doi: 10.1016/j.future.2017.08.046.
  • [8] A. Rashed et al., “Integrated IoT medical platform for remote healthcare and assisted living,” in 2017 Proceedings of the JapanAfrica Conference on Electronics, Communications, and Computers, JAC-ECC 2017, 2018, vol. 2018-Janua, pp. 160–163, doi: 10.1109/JEC-ECC.2017.8305801.
  • [9] M. Taştan, “Nesnelerin İnterneti Tabanlı Akıllı Sulama ve Uzaktan İzleme Sistemi,” Eur. J. Sci. Technol., pp. 229–236, 2019, doi: 10.31590/ejosat.525149.
  • [10] M. Kumar, V. M. Shenbagaraman, R. N. Shaw, and A. Ghosh, “Predictive data analysis for energy management of a smart factory leading to sustainability,” in Lecture Notes in Electrical Engineering, 2021, vol. 661, pp. 765–773, doi: 10.1007/978-981-15-4692- 1_58.
  • [11] S. Hamilton, “Real-Time Big Data Analytics, Sustainable Industry 4.0 Wireless Networks, and Internet of Things-based Decision Support Systems in Cyber-Physical Smart Manufacturing,” Econ. Manag. Financ. Mark., vol. 16, no. 2, pp. 84-94, 2021, doi: 10.22381/emfm16220215.
  • [12] “NodeMcu DHT11 & MQTT « osoyoo.com.” https://osoyoo.com/2018/01/17/nodemcu-dht11-mqtt/ (accessed Jun. 15, 2021)
There are 12 citations in total.

Details

Primary Language English
Subjects Artificial Intelligence
Journal Section Research Articles
Authors

Caglar Gurkan

Project Number 2021-TYL-FEBE-0009
Publication Date August 30, 2021
Submission Date June 28, 2021
Published in Issue Year 2021 Volume: 1 Issue: 1

Cite

IEEE C. Gurkan, “Development of Android-based Internet of Things Application for Data Tracking in Smart Marble Factories”, Journal of Artificial Intelligence and Data Science, vol. 1, no. 1, pp. 41–44, 2021.

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