Intelligent system for monitoring workspaces
DOI:
https://doi.org/10.30973/progmat/2020.12.2/4Keywords:
temperature sensor, raspberry pi, Arduino, ultrasonic sensor, home automation, sustainableAbstract
The current paper shows results of the application of a system for monitoring workspaces as a support to solve the problem of high electrical power consumptions in the Polytechnical University of Altamira. This document tries to analyze data obtained from two sensors placed in common spaces which there is circulation of people that can be from a person to maximum space capacity; therefore, in the absence of people, there is no need to have devices turned on. This problem is hard to solve through of a traditional method that is the use of thermostats, it is only recommended in places where there is electronic equipment of long-term work such as computer labs; neither using movement sensors incorporated to lamps
References
Yang, H., Kim, B., Lee, J., Ahn, Y., Lee, C. Advanced wireless sensor networks for sustainable buildings using building ducts. Sustainability. 2018, 10(8), 1-13. https://doi.org/10.3390/su10082628
Arduino. What is Arduino?. Recuperado el 6 de agosto de 2018, de https://www.arduino.cc/en/Guide/Introduction, 2018.
Jo, B., Baloch, Z. Internet of things-based arduino intelligent monitoring and cluster analysis of seasonal variation in physicochemical parameters of Jungnangcheon, an urban stream. Water. 2017, 9(3), 1-15. https://doi.org/10.3390/w9030220
Raspberry Pi Foundation. What is a Raspberry Pi?. Recuperado el 6 de agosto de 2018, de https://www.raspberrypi.org/documentation/faqs/#introWhatIs, 2018.
Xu, R., Chen, Y., Blasch, E., Chen, G. BlendCAC: A smart contract enabled decentralized capability-based access control mechanism for the IoT. Computers. 2018, 7(39), 1-27. https://doi.org/10.3390/computers7030039
Agarwal, Y., Balaji, B., Gupta, R., Lyles, J., Wei, M., Weng, T. Occupancy-driven energy management for smart building automation. In: Proceedings of the 2nd ACM workshop on embedded sensing systems for energy-efficiency in building. San Diego, California, 2010, 1-6. https://doi.org/10.1145/1878431.1878433
Mavridis, N., Pierris, G., BenAbdelkader, C., Krstikj, A., Karaiskos, C. Smart buildings and the human-machine cloud. In: Proceedings of the 8th IEEE GCC Conference and Exhibition. Muscat, Oman, 2015, 1-6. https://doi.org/10.1109/IEEEGCC.2015.7060081
Kensek, K. M. Integration of Environmental Sensors with BIM: Case studies using Arduino, Dynamo, and the Revit API. Informes de La Construcción, 2014, 66(536), 1-9.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2020 Programación Matemática y Software
This work is licensed under a Creative Commons Attribution 4.0 International License.
Usted es libre de:
Compartir — compartir y redistribuir el material publicado en cualquier medio o formato. |
Adaptar — combinar, transformar y construir sobre el material para cualquier propósito, incluso comercialmente. |
Bajo las siguientes condiciones:
Atribución — Debe otorgar el crédito correspondiente, proporcionar un enlace a la licencia e indicar si se realizaron cambios. Puede hacerlo de cualquier manera razonable, pero de ninguna manera que sugiera que el licenciador lo respalda a usted o a su uso. |
Sin restricciones adicionales: no puede aplicar términos legales o medidas tecnológicas que restrinjan legalmente a otros a hacer cualquier cosa que permita la licencia. |