DEVELOPMENT OF DS18B20 TEMPERATURE SENSOR IOT DEVICE USING SECURE API CONNECTION

  • Dan Noje University of Oradea
  • Alina Caraban University of Oradea
  • Ovidiu Gheorghe Moldovan University of Oradea
  • Octavian Alin Moldovan University of Oradea
  • Dan Craciun University of Oradea
Keywords: IoT, temperature sensors, predictive maintenance, secure connection, software design

Abstract

In this paper, a low-cost IoT device using the DS18B20 temperature sensor is proposed. This IoT device has been designed in such a way that it can be used in the development of a predictive maintenance system intended for fire prevention in production halls or other types of buildings. Thus, the sensor must be configurable to be able to acquire temperature values at certain time intervals, and in case of detecting that a certain pre-set value of the acquired temperature is exceeded, to connect via HTTPS protocol to an API endpoint of a software solution allowing an automatic recording of a maintenance task. This maintenance task will allow the maintenance team to be informed and manage the incident with traceability. In the practical experiment validating the functioning of the IoT device, it was connected to an existing task management software solution on the market.

References

1. S. Selcuk, “Predictive maintenance, its implementation and latest trends,” Proc. Inst. Mech. Eng. Part B J. Eng. Manuf., vol. 231, no. 9, pp. 1670–1679, Jul. 2017, doi: 10.1177/0954405415601640.
2. M. Pech, J. Vrchota, and J. Bednář, “Predictive Maintenance and Intelligent Sensors in Smart Factory: Review,” Sensors, vol. 21, no. 4, p. 1470, Feb. 2021, doi: 10.3390/s21041470.
3. L. S. Csokmai, R. C. Ţarcă, C. Bungău, and G. Husi, “A Comprehensive Approach to Off-line Advanced Error Troubleshooting in Intelligent Manufacturing Systems,” Int. J. Comput. Commun. Control, vol. 10, no. 1, p. 30, Nov. 2014, doi: 10.15837/ijccc.2015.1.1561.
4. C. Franciosi, A. Voisin, S. Miranda, and B. Iung, “Integration of I4.0 technologies with maintenance processes: what are the effects on sustainable manufacturing?,” IFAC-Pap., vol. 53, no. 3, pp. 1–6, 2020, doi: 10.1016/j.ifacol.2020.11.001.
5. K. Rahul, “Understand IoT for Predictive Maintenance in Manufacturing,” Software Advice, May 28, 2021. https://www.softwareadvice.com/resources/iot-predictive-maintenance/ (accessed Aug. 25, 2021).
6. R. C. Parpala and R. Iacob, “Application of IoT concept on predictive maintenance of industrial equipment,” MATEC Web Conf., vol. 121, p. 02008, 2017, doi: 10.1051/matecconf/201712102008.
7. A. S. Adila, A. Husam, and G. Husi, “Towards the self-powered Internet of Things (IoT) by energy harvesting: Trends and technologies for green IoT,” in 2018 2nd International Symposium on Small-scale Intelligent Manufacturing Systems (SIMS), Cavan, Apr. 2018, pp. 1–5. doi: 10.1109/SIMS.2018.8355305.
8. H. M. Hashemian, “State-of-the-Art Predictive Maintenance Techniques,” IEEE Trans. Instrum. Meas., vol. 60, no. 1, pp. 226–236, Jan. 2011, doi: 10.1109/TIM.2010.2047662.
9. “Interfacing DS18B20 1-Wire Digital Temperature Sensor with Arduino,” Last Minute Engeneers. https://lastminuteengineers.com/ds18b20-arduino-tutorial/ (accessed Dec. 07, 2021).
10. “ESP8266 - A cost-effective and highly integrated Wi-Fi MCU for IoT applications,” Espressif. https://www.espressif.com/en/products/socs/esp8266 (accessed Dec. 07, 2021).
11. “Pri-Desk,” Pri-Desk. https://pri-desk.ro/ (accessed Jul. 06, 2021).
Published
2022-09-30
How to Cite
Noje, D., Caraban, A., Moldovan, O., Moldovan, O., & Craciun, D. (2022). DEVELOPMENT OF DS18B20 TEMPERATURE SENSOR IOT DEVICE USING SECURE API CONNECTION. Nonconventional Technologies Review, 26(3). Retrieved from http://revtn.ro/index.php/revtn/article/view/388