Monitoring Network to Automate the Cooling System of a Data Center
Main Article Content
Abstract
The objective of this work was to develop a monitoring network of temperature, humidity and air quality in a data center to automate the on and off switching of the cooling, ventilation and air filtering system using IoT (Internet of Things). A network with long-range wireless technology was implemented, consisting of five slave nodes, a master node and a user interface. The slave nodes periodically transmit the value of the three environment variables to the master node. The master node sends the information received from the slaves to a cloud server, so that it can be accessed from a user interface. When the value of any of the variables reaches the configured threshold, the cooling, ventilation and/or filtering system is activated as required. The tests showed that an accuracy of less than ±1.0 °C was obtained in the measurement of temperature, less than ±2% in the measurement of humidity, less than ±8?g/m³ in the measurement of air quality and a range of 11.5 kilometers with line of sight was achieved in data transmission over the network. Based on these results, the network can be implemented to monitor sensors and processes in other facilities with this scope.
Keywords
Automatización, centro de datos, inalámbrica, IoT, monitorización, temperatura Automation, data center, IoT, monitoring, temperature, wireless
References
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[20] W. Xu, J. Y. Kim, W. Huang, S. S. Kanhere, S. K. Jha, and W. Hu, “Measurement, characterization, and modeling of LoRa technology in multifloor buildings,” IEEE Internet of Things Journal, vol. 7, no. 1, pp. 298–310, 2020. [Online]. Available: https://doi.org/10.1109/JIOT.2019.2946900
[21] S. Benaissa, D. Plets, E. Tanghe, J. Trogh, L. Martens, L. Vandaele, L. Verloock, F. A. M. Tuyttens, B. Sonck, and W. Joseph, “Internet of animals: characterisation of LoRa sub-GHz off-body wireless channel in dairy barns,” Electronics Letters, vol. 53, no. 18, pp. 1281–1283, 2017. [Online]. Available: https://doi.org/10.1049/el.2017.1344
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[27] P. Kulkarni, Q. O. A. Hakim, and A. Lakas, “Experimental evaluation of a campus-deployed IoT network using LoRa,” IEEE Sensors Journal, vol. 20, no. 5, pp. 2803–2811, 2020. [Online]. Available: https://doi.org/10.1109/JSEN.2019.2953572
[28] L. Leonardi, F. Battaglia, and L. Lo Bello, “Rt-LoRa: A medium access strategy to support real-time flows over LoRa-based networks for industrial IoT applications,” IEEE Internet of Things Journal, vol. 6, no. 6, pp. 10 812–10 823, 2019. [Online]. Available: https://doi.org/10.1109/JIOT.2019.2942776
[29] K. Lam, C. Cheung, and W. Lee, “Rssi-based LoRa localization systems for large-scale indoor and outdoor environments,” IEEE Transactions on Vehicular Technology, vol. 68, no. 12, pp. 11 778–11 791, 2019. [Online]. Available: https://doi.org/10.1109/TVT.2019.2940272
[30] R. I. S. Pereira, S. C. S. Jucá, P. C. M. Carvalho, and C. P. Souza, “IoT network and sensor signal conditioning for meteorological data and photovoltaic module temperature monitoring,” IEEE Latin America Transactions, vol. 17, no. 06, pp. 937–944, 2019. [Online]. Available: https://doi.org/10.1109/TLA.2019.8896816
[31] X. Zhang, M. Pipattanasomporn, T. Chen, and S. Rahman, “An IoT-based thermal model learning framework for smart buildings,” IEEE Internet of Things Journal, vol. 7, no. 1, pp. 518–527, 2020. [Online]. Available: https://doi.org/10.1109/JIOT.2019.2951106
[32] L. Zhao, W. Wu, and S. Li, “Design and implementation of an IoT-based indoor air quality detector with multiple communication interfaces,” IEEE Internet of Things Journal, vol. 6, no. 6, pp. 9621–9632, 2019. [Online]. Available: https://doi.org/10.1109/JIOT.2019.2930191
[33] M. M. Alam, H. Malik, M. I. Khan, T. Pardy, A. Kuusik, and Y. Le Moullec, “A survey on the roles of communication technologies in IoT-based personalized healthcare applications,” IEEE Access, vol. 6, pp. 36 611–36 631, 2018. [Online]. Available: https://doi.org/10.1109/ACCESS.2018.2853148
[34] J. Ruan, Y. Wang, F. T. S. Chan, X. Hu, M. Zhao, F. Zhu, B. Shi, Y. Shi, and F. Lin, “A life cycle framework of green IoT-based agriculture and its finance, operation, and management issues,” IEEE Communications Magazine, vol. 57, no. 3, pp. 90–96, 2019. [Online]. Available: https://doi.org/10.1109/MCOM.2019.1800332
[35] Q. Wan, Y. Teh, Y. Gao, and P. K. T. Mok, “Analysis and design of a thermoelectric energy harvesting system with reconfigurable array of thermoelectric generators for IoT applications,” IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 64, no. 9, pp. 2346–2358, 2017. [Online]. Available: https://doi.org/10.1109/TCSI.2017.2708763
[36] Y. Han, C. Zhang, L. Wang, and Y. Zhang, “Industrial IoT for intelligent steelmaking with converter mouth flame spectrum information processed by deep learning,” IEEE Transactions on Industrial Informatics, vol. 16, no. 4, pp. 2640–2650, 2020. [Online]. Available: https://doi.org/10.1109/TII.2019.2948100
[37] C. Yang, D. Puthal, S. P. Mohanty, and E. Kougianos, “Big-sensing-data curation for the cloud is coming: A promise of scalable cloud-data-center mitigation for nextgeneration IoT and wireless sensor networks,” IEEE Consumer Electronics Magazine, vol. 6, no. 4, pp. 48–56, 2017. [Online]. Available: https://doi.org/10.1109/MCE.2017.2714695
[38] K. Kaur, S. Garg, G. Kaddoum, E. Bou-Harb, and K. R. Choo, “A big data-enabled consolidated framework for energy efficient software defined data centers in IoT setups,” IEEE Transactions on Industrial Informatics, vol. 16, no. 4, pp. 2687–2697, 2020. [Online]. Available: https://doi.org/10.1109/TII.2019.2939573
[39] L. Yang, Y. Deng, L. T. Yang, and R. Lin, “Reducing the cooling power of data centers by intelligently assigning tasks,” IEEE Internet of Things Journal, vol. 5, no. 3, pp. 1667–1678, 2018. [Online]. Available: https://doi.org/10.1109/JIOT.2017.2783329
[40] Bosch, “Gas sensor measuring relative humidity, barometric pressure, ambient temperature and gas (VOC) BME680,” Bosch Sensortec GmbH 2020, Tech. Rep., 2017. [Online]. Available: https://bit.ly/2YlAvNS
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Published
Jun 30, 2020
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