Oxygen Level System Development in WSN and IoT-Based Factory

  Rifki Muhendra (1*), Aisyah Amin (2)

(1) Industrial Engineering, Faculty of Engineering, Bhayangkara Jakarta Raya University - Indonesia
(2) Physics Department, Faculty of Mathematics and Natural Sciences, Universitas Halim Sanusi - Indonesia
(*) Corresponding Author

Received: November 11, 2022; Revised: January 20, 2023
Accepted: February 17, 2023; Published: August 31, 2023

How to cite (IEEE): R. Muhendra,  and A. Amin, "Oxygen Level System Development in WSN and IoT-Based Factory," Jurnal Elektronika dan Telekomunikasi, vol. 23, no. 1, pp. 1-8, Aug. 2023. doi: 10.55981/jet.512


The health of workers is essential to factory productivity. The lack of oxygen experienced by factory workers for a prolonged duration can disrupt the brain system. One solution to this problem is to build manufacturing facilities with well-maintained airflow, especially oxygen. The system can flow air from outside the factory into the factory based on the measurement of the oxygen level. In this research, an airflow system using the internet of things (IoT) and wireless sensor network (WSN) technology was developed to ensure no oxygen shortage in the factory space. The system comprises three main parts: an oxygen level sensor, a fan controller circuit, and a cloud-based communication system. The oxygen level sensor can measure the volume of oxygen in the factory room and is also connected to the fan controller to control the airflow to the radio-frequency (RF) communication factory room. Oxygen level monitoring data are also sent to the cloud server so that the condition of the factory space can be monitored remotely using internet computers and mobile devices. Performance tests that have been carried out show that the system can increase the oxygen level by 82% from its pre-installed condition. The system built is easy-to-install, low-power, and reliable, with a data loss value of only 1.67%. WSN implementation at the factory does not require a lot of wiring, thus making the system cheaper.



factory space; IoT; lack of oxygen; system; WSN

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