Oxygen Level System Development in WSN and IoT-Based Factory
DOI:
https://doi.org/10.55981/jet.512Keywords:
factory space, IoT, lack of oxygen, system, WSNAbstract
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.
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M. F. Nai’em, A. M. Darwis, and S. S. Maksun, “Trend analysis and projection of work accidents cases based on work shifts, workers age, and accident types,” Gac. Sanit., vol. 35, pp. S94–S97, Jan. 2021, doi: 10.1016/J.GACETA.2020.12.026. Crossref
Darwis A. Muflihah et al., “Events of work accidents in the printing industry makassar city,” Jurnal Kesehatan Masyarakat Maritim, vol. 3, no. 2, pp. 155–163, 2020, doi: 10.30597/jkmm.v3i2.10430. Crossref
X. Wang, C. Wei, Y. He, H. Zhang, and Q. Wang, “Research on the correlation between work accidents and safety policies in China,” Process., vol. 9, no. 5, May 2021, Art. no. 805, doi: 10.3390/PR9050805. Crossref
Y. Bai, Y. Ni, and Q. Zeng, “Impact of ambient air quality standards revision on the exposure-response of air pollution in Tianjin, China,” Environ. Res., vol. 198, Jul. 2021, Art. no. 111269, doi: 10.1016/J.ENVRES.2021.111269. Crossref
Y. Nazarenko, D. Pal, and P. A. Ariya, “Air quality standards for the concentration of particulate matter 2.5, global descriptive analysis,” Bull. World Health Organ., vol. 99, no. 2, pp. 125–137, Feb. 2021, doi: 10.2471/BLT.19.245704. Crossref
N. I. Simangunsong and R. Fitri, “Identification of oxygen production and oxygen demands in parks and green paths as an environmental sustainability effort in Selong area, Jakarta, Indonesia,” Ecol. Environ. Conserv. Pap., vol. 27, no. 1, pp. 146–151, 2021. Accessed: Apr. 06, 2023. [Online]. Available: http://www.envirobiotechjournals.com/article_abstract.php?aid=11215&iid=327&jid=3
J. A. Jiang et al., “Toward a higher yield: a wireless sensor network-based temperature monitoring and fan-circulating system for precision cultivation in plant factories,” Precis. Agric., vol. 19, no. 5, pp. 926–956, 2018, doi: 10.1007/s11119-018-9565-6. Crossref
W. Sun, “Cleanroom fan energy reduction-airflow control retrofit based on continuous, real-time particle sensing,” J. Inst. Environ. Sci. Technol., vol. 62, no. 1, pp. 11–25, Nov. 2019, doi: 10.17764/1557-2196-62.1.11. Crossref
L. Sanneman, C. Fourie, and J. A. Shah, “The state of industrial robotics: emerging technologies, challenges, and key research directions,” Found. Trends® Robot., vol. 8, no. 3, pp. 225–306, 2021, doi: 10.1561/2300000065. Crossref
J. Calvillo-Arbizu, I. Román-Martínez, and J. Reina-Tosina, “Internet of things in health: requirements, issues, and gaps,” Comput. Methods Programs Biomed., vol. 208, 2021, Art. no. 106231, doi: 10.1016/j.cmpb.2021.106231. Crossref
T. Song, J. Cai, T. Chahine, and L. Li, “Towards smart cities by internet of things (IoT)—a silent revolution in China,” J. Knowl. Econ., vol. 12, no. 2, 2021, doi: 10.1007/s13132-017-0493-x. Crossref
B. Wang, M. Farooque, R. Y. Zhong, A. Zhang, and Y. Liu, “Internet of things (IoT)-enabled accountability in source separation of household waste for a circular economy in China,” J. Clean. Prod., vol. 300, 2021, Art. no. 126773, doi: 10.1016/j.jclepro.2021.126773. Crossref
F. Lorenz, J. Willwersch, M. Cajias, and F. Fuerst, “Interpretable machine learning for real estate market analysis,” Social Science Research Network Electron. J., 2021, doi: 10.2139/ssrn.3835931. Crossref
M. A. Ferrag, L. Shu, X. Yang, A. Derhab, and L. Maglaras, “Security and privacy for green IoT-based agriculture: review, blockchain solutions, and challenges,” IEEE Access, vol. 8, pp. 32031–32053, 2020, doi: 10.1109/ACCESS.2020.2973178. Crossref
M. S. Farooq, S. Riaz, A. Abid, K. Abid, and M. A. Naeem, “A survey on the role of IoT in agriculture for the implementation of smart farming,” IEEE Access, vol. 7, pp. 156237–156271, 2019, doi: 10.1109/ACCESS.2019.2949703. Crossref
H. M. Haglan, A. S. Mahmoud, M. H. Al-Jumaili, and A. J. Aljaaf, “New ideas and framework for combating covid-19 pandemic using IoT technologies,” Indonesian Electr. Eng. Comput. Sci., vol. 22, no. 3, pp. 1565–1572, Jun. 2021, doi: 10.11591/IJEECS.V22.I3.PP1565-1572. Crossref
S. Arunkumar, M. Vetriselvi, and S. Thanalakshmi, “Cryptography based security solutions to Iot enabled health care monitoring system,” J. Adv. Res. Dyn. Control Syst., vol. 12, no. 7, 2020, doi: 10.5373/JARDCS/V12I7/20202008. Crossref
P. S. Sheeba, “An overview of IoT in health sectors,” Emerg. Technol. Healthc., pp. 1–24, Aug. 2021, doi: 10.1002/9781119792345.ch1. Crossref
Hudiono, M. Taufik, R. H. Y. Perdana, and A. E. Rakhmania, “Digital centralized water meter using 433 MHz Lora,” Bull. Electr. Eng. Informatics, vol. 10, no. 4, pp. 2062–2071, Aug. 2021, doi: 10.11591/EEI.V10I4.2950. Crossref
B. N. Sahoo, J. J. Mahakud, and P. Pattanaik, “Automatic street light control system,” Int. J. Innov. Technol. Explor. Eng., vol. 8, no. 11S, pp. 942–945, Sep. 2019, doi: 10.35940/ijitee.K1172.09811S19. Crossref
J. Zeng, H. Huang, J. Zou, and J. Jian, “Research on the humidity measuring mechanism of a high temperature universal exhaust gas oxygen sensor,” Chinese J. Sensors Actuators, vol. 34, no. 6, pp. 742–748, 2021, doi: 10.3969/j.issn.1004-1699.2021.06.005. Crossref
O. H. Yahya, H. T. S. Alrikabi, and I. A. Aljazaery, “Reducing the data rate in internet of things applications by using wireless sensor network,” Int. J. online Biomed. Eng., vol. 16, no. 3, pp. 107–116, Mar. 2020, doi: 10.3991/IJOE.V16I03.13021. Crossref
A. M. A. Jalil, R. Mohamad, N. M. Anas, M. Kassim, and S. I. Suliman, “Implementation of vehicle ventilation system using NodeMCU ESP8266 for remote monitoring,” Bull. Electr. Eng. Informatics, vol. 10, no. 1, pp. 327–336, Feb. 2021, doi: 10.11591/EEI.V10I1.2669. Crossref
E. Stansfield, P. Mitteroecker, S. Y. Vasilyev, S. Vasilyev, and L. N. Butaric, “Respiratory adaptation to climate in modern humans and upper paleolithic individuals from Sungir and Mladeč,” Sci. Rep., vol. 11, no. 1, 2021, Art. no. 7997, doi: 10.1038/s41598-021-86830-x. Crossref
H. Sharma, A. Haque, and F. Blaabjerg, “Machine learning in wireless sensor networks for smart cities: a survey,” Electron., vol. 10, no. 9, 2021, Art. no. 1012, doi: 10.3390/electronics10091012. Crossref
A. H. Miry and G. A. Aramice, “Water monitoring and analytic based Thingspeak,” Int. J. Electr. Comput. Eng., vol. 10, no. 4, pp. 3588–3595, Aug. 2020, doi: 10.11591/ijece.v10i4.pp3588-3595. Crossref
G. Loubet, A. Takacs, E. Gardner, A. De Luca, F. Udrea, and D. Dragomirescu, “LoRaWAN battery-free wireless sensors network designed for structural health monitoring in the construction domain,” Sensors, vol. 19, no. 7, 2019, Art. no. 1510, doi: 10.3390/s19071510. Crossref
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