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Intelligent distributed module for local control of lighting and electrical outlets in a home
Open accessAbstract
This article proposes a control of lighting and electrical loads, suitable for smart homes, using embedded systems with low-cost wireless communication modules. The system is based on a distributed intelligent home automation architecture, to work autonomously or interconnect wirelessly to a larger system. It has a set of sensors that allow you to ration the use of electricity through automatic switching off the lights or electrical devices, allowing the lighting to be regulated. It has several modules that communicate to a central node wirelessly, and an interface based on a mobile application. UML and Petri Nets were used for the projection, modelling and validation of the system, its implementation was developed in C/C ++ language for 32-bit microcontrollers. Tests of the prototype showed stable behavior, fast communications and sufficient coverage for a single-family house, whose performance is higher to other similar works found in the scientific community.
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“The benefits provided by home automation are in the areas of convenience, security, and energy savings.”
From Machine Learning Methods in Smart Lighting Toward Achieving User Comfort: A Survey (2022) · cites this paper as Andramuño et al. [78]
In the citing paper
“Andramuño et al. [78] argue that home automation combines automation technology, computing, and computer networks.”
From Machine Learning Methods in Smart Lighting Toward Achieving User Comfort: A Survey (2022) · cites this paper as Andramuño et al. [78]
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Research works printed but not linked: 14
- Nuñez-Alvarez, 2020, Communications in Flexible Supervisor for Laboratory Research in Renewable Energy, IOP Conf. Ser.: Mater. Sci. Eng., 844, 10.1088/1757-899X/844/1/012016 · DOI
- Sita, 2018, Delay time Petri Nets based decision model to decrease the risk of false security alarms, 1, 10.1109/AQTR.2018.8402721 · DOI
- Nuñez, 2020, Design of a Fuzzy Controller for a Hybrid Generation System, IOP Conf. Ser.: Mater. Sci. Eng., 844, 10.1088/1757-899X/844/1/012017 · DOI
- Palomino, 2020, Wind Speed Prediction Based on Univariate ARIMA and OLS on the Colombian Caribbean Coast, Journal of Engineering Science and Technology Review, 13, 200, 10.25103/jestr.133.22 · DOI
- Barrozo, 2019, Energy, Economic, and Environmental Evaluation of a Proposed Solar-Wind Power On-Grid System Using HOMER Pro®: A Case Study in Colombia, Energies., 13, 1662, 10.3390/en13071662 · DOI
- Sugiharto, 2018, Multiple Smart Home Controlling System using Database Replication Method, 10.4108/eai.24-10-2018.2280553 · DOI
- Zouai, 2017, Smart house simulation based multi-agent system and internet of things, 201, 10.1109/MATHIT.2017.8259717 · DOI
- Pau, 2019, Wireless Sensor Networks for Smart Homes: A Fuzzy-Based Solution for an Energy-Effective Duty Cycle, Electronics., 8, 131, 10.3390/electronics8020131 · DOI
- Rodriguez, 2016, Sensor arrays for Enology applications: Using nanoscience for grape analysis. Tesis Doctoral, 10.35376/10324/18886 · DOI
- Ito, 2019, Home Automation Platform Using Interaction-Based Sensing, 1, 10.1109/ICCE.2019.8661918 · DOI
- Santos, 2016, El enfoque de Cajas Negra y Blanca para la enseñanza de sistemas embebidos, 1, 10.1109/ARGENCON.2016.7585294 · DOI
- Cerrada, 2006, Agent-based design for fault management system in industrial processes, Revista Técnica de la Facultad de Ingeniería. Universidad del Zulia, 29, 258
- Gutiérrez, 2013, Ladder diagram generation using Fuzzy Petri-Nets, Revista Vínculos., 10, 369, 10.14483/2322939X.6523 · DOI
- Mendoza, 2020, Red de sensores inalámbricos multisalto para sistemas domóticos de bajo costo y área extendida, Revista Iberoamericana de Automática e Informática industrial., 17, 10.4995/riai.2020.12301 · DOI
Cited by
Sorted by citations
Machine Learning Methods in Smart Lighting Toward Achieving User Comfort: A Survey
Putrada, A. G., Abdurohman, M., Perdana, D., & Nuha, H. H. (2022) · IEEE Access · doi:10.1109/access.2022.3169765 · Cited by 101
“Andramuno et al. [78] argue that home automation combines automation technology, computing, and computer networks.”
Background
Metadata
- Authors
- Andramuño, J., Mendoza, E., Núñez, J., & Liger, E.
- Affiliations
- Universidad Católica de Santiago de Guayaquil (EC)
- Corresponding author
- Mendoza, E.
- ORCID
- Mendoza, E.
- Venue
- Journal of Physics: Conference Series
- Publisher
- IOP Publishing
- Published
- 2021-01-01
- Volume
- 1730
- Issue
- 1
- Pages
- 012001
- ISSN
- 1742-6588 (ISSN-L)
- 1742-6596
- OpenAlex
- W3126410923
- Cited by
- 17
- References
- 0
- Citations by year
- 2024: 2 · 2023: 4 · 2022: 6 · 2021: 5
- FWCI
- 6.67
- Type
- conference paper
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- Locations
- Journal of Physics Conference Series (publishedVersion, cc-by)
- DSPACE System - Metalibrary (University of the Coast) (submittedVersion, cc-by-nc-nd)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › IoT-based Smart Home Systems
- Physical Sciences › Engineering › Control and Systems Engineering › Embedded Systems and FPGA Design
- Physical Sciences › Engineering › Control and Systems Engineering › Wireless Sensor Networks and IoT
- Keywords
- home automation, lighting control, distributed architecture, wireless communication module, low-cost embedded systems, energy conservation, automatic switching, mobile application interface, microcontroller, Petri nets, UML modeling
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