Sistema de monitorización de puertas y ventanas de un centro de datos con IoT

Main Article Content

José Ignacio Vega Luna http://orcid.org/0000-0002-4226-2936
Francisco Javier Sánchez-Rangel http://orcid.org/0000-0002-4182-5856
José Francisco Cosme-Aceves http://orcid.org/0000-0002-6875-5683

Keywords

centro de datos, efecto Hall, monitorización, PyBoard, SMS, wifi

Resumen

En este trabajo se presenta la construcción de un prototipo de un sistema de monitorización de puertas y ventanas a través de una plataforma IoT. El objetivo fue diseñar un sistema que reporte a un servidor en la nube el cambio de estado, abierta o cerrada, de tres puertas y dos ventanas de la sala de equipos del centro de datos. Los cambios de estado son registrados por el servidor y por medio de una interfaz de usuario se muestran en línea los estados de las puertas y ventanas. La arquitectura del sistema se basa en una red inalámbrica de sensores integrada por un nodo central y cinco nodos de monitorización. Los nodos de monitorización están compuestos por una tarjeta PyBoard, dos sensores digitales de efecto Hall y una interfaz inalámbrica wifi. Al detectar un cambio de estado en puertas y ventanas, los nodos de monitorización lo notifican al nodo central, y este lo transmite al servidor por medio de un punto de acceso wifi. Cuando una puerta o ventana permanece abierta más de un período de tiempo configurable, se envía un mensaje SMS y de WhatsApp a un teléfono móvil. El alcance logrado en la transmisión wifi en la red fue 47 metros con línea de vista.
Abstract 33 | PDF Downloads 74 PDF (English) Downloads 21 EPUB Downloads 17 HTML Downloads 10

Citas

[1] P. A. Lontsikh, V. A. Karaseva, E. P. Kunakov, I. I. Livshitz, and K. A. Nikiforova, “Implementation of information security and data processing center protection standards,” in 2016 IEEE Conference on Quality Management, Transport and Information Security, Information Technologies (IT&MQ&IS), 2016, pp. 138–143. [Online]. Available: https://doi.org/10.1109/ITMQIS.2016.7751923
[2] Z. Han and L. Yu, “A survey of the bcube data center network topology,” in 2018 IEEE 4th International Conference on Big Data Security on Cloud (BigDataSecurity), IEEE International Conference on High Performance and Smart Computing, (HPSC) and IEEE International Conference on Intelligent Data and Security (IDS), 2018, pp. 229–231. [Online]. Available: https://doi.org/10.1109/BDS/HPSC/IDS18.2018.00056
[3] D. Achmadi, Y. Suryanto, and K. Ramli, “On developing information security management system (isms) framework for iso 27001-based data center,” in 2018 International Workshop on Big Data and Information Security (IWBIS), 2018, pp. 149–157. [Online]. Available: https://doi.org/10.1109/IWBIS.2018.8471700
[4] H. Hejazi, H. Rajab, T. Cinkler, and L. Lengyel, “Survey of platforms for massive iot,” in 2018 IEEE International Conference on Future IoT Technologies (Future IoT), 2018, pp. 1–8. [Online]. Available: https://doi.org/10.1109/FIOT.2018.8325598
[5] P. Datta and B. Sharma, “A survey on IoT architectures, protocols, security and smart city based applications,” in 2017 8th International Conference on Computing, Communication and Networking Technologies (ICCCNT), 2017, pp. 1–5. [Online]. Available: https://doi.org/10.1109/ICCCNT.2017.8203943
[6] E. A. Kadir, S. M. Shamsuddin, S. Hasan, and S. L. Rosa, “Wireless monitoring for big data center server room and equipments,” in 2015 International Conference on Science in Information Technology (ICSITech), 2015, pp. 187–191. [Online]. Available: https://doi.org/10.1109/ICSITech.2015.7407801
[7] S. Saha and A. Majumdar, “Data centre temperature monitoring with ESP8266 based Wireless Sensor Network and cloud based dashboard with real time alert system,” in 2017 Devices for Integrated Circuit (DevIC), 2017, pp. 307–310. [Online]. Available: https://doi.org/10.1109/DEVIC.2017.8073958
[8] K. Nayak, K. Nanda, T. Dwarakanath, H. Babu, and D. Selvakumar, “Data centre monitoring and alerting system using WSN,” in 2014 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT), 2014, pp. 1–5. [Online]. Available: https://doi.org/10.1109/CONECCT.2014.6740348
[9] M. R. C. Truscˇa, S. Albert, and M. L. Soran., “The benefits of data center temperature monitoring,” in 2015 Conference Grid, Cloud & High Performance Computing in Science (ROLCG), 2015, pp. 1–3. [Online]. Available: https://doi.org/10.1109/ROLCG.2015.7367417
[10] R. Lloyd and M. Rebow, “Data driven prediction model (ddpm) for server inlet temperature prediction in raised-floor data centers,” in 2018 17th IEEE Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems (ITherm), 2018, pp. 716–725. [Online]. Available: https://doi.org/10.1109/ITHERM.2018.8419650
[11] T. Akiyama, M. Matsuoka, K. Matsuda, Y. Sakemi, and H. Kojima, “Secure and long-lived wireless sensor network for data center monitoring,” in 2018 IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC), 2018, pp. 559–564. [Online]. Available: https://doi.org/10.1109/COMPSAC.2018.10295
[12] M. Wiboonrat, “Developing diagnostics and prognostics of data center systems implementing with condition-based maintenance,” in IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society, 2018, pp. 4901–4906. [Online]. Available: https://doi.org/10.1109/IECON.2018.8591203
[13] S. P. Patil and S. C. Patil, “A real time sensor data monitoring system for wireless sensor network,” in 015 International Conference on Information Processing (ICIP), 2015, pp. 525–528. [Online]. Available: https://doi.org/10.1109/INFOP.2015.7489440
[14] B. Ashish, “Temperature monitored IoT based smart incubator,” in 2017 International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (ISMAC), 2017, pp. 497–501. [Online]. Available: https://doi.org/10.1109/I-SMAC.2017.8058400
[15] S. Mandala, S. N. Anggis, M. S. Mubarok, and Shamila, “Energy efficient iot thermometer based on fuzzy logic for fever monitoring,” in 2017 5th International Conference on Information and Communication Technology (ICoIC7), 2017, pp. 1–6. [Online]. Available: https://doi.org/10.1109/ICoICT.2017.8074640
[16] K. A. Zilani, R. Yeasmin, K. A. Zubair, M. R. Sammir, and S. Sabrin, “R3HMS, an iot based approach for patient health monitoring,” in 2018 International Conference on Computer, Communication, Chemical, Material and Electronic Engineering (IC4ME2), 2018, pp. 1–4. [Online]. Available: https://doi.org/10.1109/IC4ME2.2018.8465482
[17] Y. Uomoto and A. Kajiwara, “Heartbeat monitoring UWB sensor robust to body movement,” in 2018 IEEE 4th World Forum on Internet of Things (WF-IoT), 2018, pp. 280–285. [Online]. Available: https://doi.org/10.1109/WF-IoT.2018.8355194
[18] S. Shaikh, D. Waghole, P. Kumbhar, V. Kotkar, and P. Awaghade, “Patient monitoring system using IoT,” in 2017 International Conference on Big Data, IoT and Data Science (BID), 2017, pp. 177–181. [Online]. Available: https://doi.org/10.1109/BID.2017.8336594
[19] E. Kadiyala, S. Meda, R. Basani, and S. Muthulakshmi, “Global industrial process monitoring through IoT using Raspberry pi,” in 2017 International Conference on Nextgen Electronic Technologies: Silicon to Software (ICNETS2), 2017, pp. 260–262. [Online]. Available: https://doi.org/10.1109/ICNETS2.2017.8067944
[20] S. H. Kim, J. M. Jeong, M. T. Hwang, and C. S. Kang, “Development of an IoT-based atmospheric environment monitoring system,” in 2017 International Conference on Information and Communication Technology Convergence (ICTC), 2017, pp. 861–863. [Online]. Available: https://doi.org/10.1109/ICTC.2017.8190799
[21] S. Wang, Y. Hou, F. Gao, and X. Ji, “A novel IoT access architecture for vehicle monitoring system,” in 2016 IEEE 3rd World Forum on Internet of Things (WFIoT), 2016, pp. 639–642. [Online]. Available: https://doi.org/10.1109/WF-IoT.2016.7845396
[22] J.-L. Lee, Y.-Y. Tyan, M.-H. Wen, and Y.-W. Wu, “Development of an IoT-based bridge safety monitoring system,” in 2017 International Conference on Applied System Innovation (ICASI), 2017, pp. 84–86. [Online]. Available: https://doi.org/10.1109/ICASI.2017.7988352
[23] T. Perumal, M. N. Sulaiman, and C. Y. Leong, “Internet of things (IoT) enabled water monitoring system,” in 2015 IEEE 4th Global Conference on Consumer Electronics (GCCE), 2015, pp. 86–87. [Online]. Available: https://doi.org/10.1109/GCCE.2015.7398710
[24] L. Nóbrega, A. Tavares, A. Cardoso, and P. Gonçalves, “Animal monitoring based on IoT technologies,” in 2018 IoT Vertical and Topical Summit on Agriculture - Tuscany (IOT Tuscany), 2018, pp. 1–5. [Online]. Available: https://doi.org/10.1109/IOT-TUSCANY.2018.8373045
[25] R. Kamalraj and M. Sakthivel, “A hybrid model on child security and activities monitoring system using IoT,” in 2018 International Conference on Inventive Research in Computing Applications (ICIRCA), 2018, pp. 996–999. [Online]. Available: https://doi.org/10.1109/ICIRCA.2018.8596771
[26] C.-S. Choi, J.-D. Jeong, I.-W. Lee, and W.-K. Park, “Lora based renewable energy monitoring system with open IoT platform,” in 2018 International Conference on Electronics, Information, and Communication (ICEIC), 2018, pp. 1–2. [Online]. Available: https://doi.org/10.23919/ELINFOCOM.2018.8330550
[27] F. Wu, C. Rudiger, J.-M. Redouté, and M. R. Yuce, “We-safe: A wearable IoT sensor node for safety applications via lora,” in 2018 IEEE 4th World Forum on Internet of Things (WFIoT), 2018, pp. 144–148. [Online]. Available: https://doi.org/10.1109/WF-IoT.2018.8355234
[28] A. Kekre and S. K. Gawre, “Solar photovoltaic remote monitoring system using IoT,” in 2017 International Conference on Recent Innovations in Signal processing and Embedded Systems (RISE), 2017, pp. 619–623. [Online]. Available: https://doi.org/10.1109/RISE.2017.8378227