IoT-based mobile intelligent luminance measurement system.

Authors

  • Carlos Guerrero Laboratorio de Simulación en Tiempo Real CIITT
  • Javier Cabrera Mejía Universidad Católica de Cuenca

DOI:

https://doi.org/10.26871/killkanatecnica.v7i1.1467

Keywords:

pollution, Measure, Luminance, IoT, Mobility

Abstract

In recent years, many investigations on road lighting have been carried out, evidencing the lack of a platform that allows the visualization of data and free access to them. Due to the aforementioned, the decision was made to build a mobile device for monitoring luminance on roads in the Cuenca canton using an IoT architecture. The proposal is based on the experimental field method based on the INEN 069 Public Lighting standard, which includes two phases, the first is inductive - deductive, with a review of the state of the art and the art, followed by the analytical - synthetic method, same that, through the collection of quantitative luminance data while the vehicle is moving, the measurements will be geolocated through a Neo 6-M GPS. The technical proposal allows us to collect dynamic and real-time data on luminance, with a margin of error of less than 15%, as a result it is possible to carry out an initial evaluation of the state of lighting without the intervention of human personnel from public lighting throughout of roads and provide access to the data through a web portal.

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References

“A Brief Overview on Light Pollution,” M. I. Azman, M. N. Dalimin, M. Mohamed, and M. F. Abu Bakar, IOP Conf. Ser. Earth Environ. Sci., vol. 269, no. 1, p. 012014, Jul. 2019, doi: 10.1088/1755-1315/269/1/012014.

“CIE 115-2010 Lighting of Roads for Motor and Pedestrian Traffic,” CIE, 2010.

“CIE 140-2000 Road Lighting Calculations,” CIE, 2000.

“Construction of a Measurement System with GPS RTK for Operational Control of Street Lighting,” P. Jaskowski, P. Tomczuk, and M. Chrzanowicz, Energies 2022, Vol. 15, Page 9106, vol. 15, no. 23, p. 9106, Dec. 2022, doi: 10.3390/EN15239106.

“Device for automatic measurement of light pollution of the night sky,” D. Karpińska and M. Kunz, Sci. Reports 2022 121, vol. 12, no. 1, pp. 1–12, Oct. 2022, doi: 10.1038/s41598-022-20624-7.

“Illuminance: Definition,” T. Eppig, Encycl. Ophthalmol., pp. 921–921, 2018, doi: 10.1007/978-3-540-69000-9_629.

“Influence of Illuminance on Sleep Onset Latency in IoT Based Lighting System Environment BT - Bioinformatics and Biomedical Engineering,” M. Jurić, M. Gaiduk, and R. Seepold, I. Rojas, O. Valenzuela, F. Rojas, and F. Ortuño, Eds., Cham: Springer International Publishing, 2019, pp. 429–438.

“Intelligent control and reduce energy consumption of smart street lighting system,” Y. Mouaadh, B. Bousmaha, and R. Mhamed, Int. J. Power Electron. Drive Syst., vol. 13, no. 4, pp. 1966–1974, 2022, doi: 10.11591/ijpeds.v13.i4.pp1966-1974.

“Intelligent street lighting in a smart city concepts—a direction to energy saving in cities: An overview and case study,” K. H. Bachanek, B. Tundys, T. Wiśniewski, E. Puzio, and A. Maroušková, Energies, vol. 14, no. 11, 2021, doi: 10.3390/en14113018.

“Internet of Things: Architectures, Protocols, and Applications,” P. Sethi and S. R. Sarangi, J. Electr. Comput. Eng., vol. 2017, 2017, doi: 10.1155/2017/9324035.

“Internet of Things (IoT): Research, Architectures and Applications,” M. Mahato, 2018.

“IoT-Enabled Smart Cities: A Review of Concepts, Frameworks and Key Technologies,” R. Sánchez-Corcuera et al., Appl. Sci. 2022, Vol. 12, Page 1607, vol. 12, no. 3, p. 1607, Feb. 2022, doi: 10.3390/APP12031607.

“IoT Solution for Smart Cities’ Pollution Monitoring and the Security Challenges,” C. Toma, A. Alexandru, M. Popa, and A. Zamfiroiu, Sensors (Basel)., vol. 19, no. 15, Aug. 2019, doi: 10.3390/S19153401.

“LED (Light-Emitting Diode) road lighting in practice: An evaluation of compliance with regulations and improvements for further energy savings,” A. K. Jägerbrand, Energies, vol. 9, no. 5, 2016, doi: 10.3390/en9050357.

“Light pollution: the possible consequences of excessive illumination on retina,” M. A. Contín, M. M. Benedetto, M. L. Quinteros-Quintana, and M. E. Guido, Eye, vol. 30, no. 2, pp. 255–263, 2016, doi: 10.1038/eye.2015.221.

“Light Pollution and Its Effect on the Environment,” F. Bashiri, ‎ Fereshteh Bashiri, C. Rosmani, and C. Hassan, Fundam. Journals Int. J. Fundam. Phys. Sci. IJFPS, vol. 4, no. 1, pp. 8–12, 2014, doi: 10.14331/ijfps.2013.330061.

“Método aplicado en la disminución de accidentes de tránsito en el cantón Loja,” W. Jaramillo Sangurima and V. A. Muñoz Sotomayor, INNOVA Res. J., vol. 2, no. 5, pp. 1–13, May 2017, doi: 10.33890/INNOVA.V2.N5.2017.150.

“Metodología para evaluar la polución lumínica causada por el alumbrado público en la ciudad de Cuenca,” R. M. Q. A., M. V. G. L., J. L. E. A., and G. S. P. G., Maskana, vol. 5, 2014.

“Nighttime dim light exposure alters the responses of the circadian system,” D. Shuboni and L. Yan, Neuroscience, vol. 170, no. 4, pp. 1172–1178, 2010, doi: https://doi.org/10.1016/j.neuroscience.2010.08.009.

“Raspberry Pi,” Raspberry Pi Foundation. https://www.raspberrypi.com/ (accessed Mar. 31, 2023).

“REGULACIÓN No. CONELEC 008/11,” CONELEC, QUITO.

“Report of the 2014 LoNNe Intercomparison Campaign,” P. Pescatori, G. W. Salvador J. Ribas, Alejandro Sánchez de Miguel Philipp Staubmann, Carlos Tapia Ayuga, and J. Zamorano, 2015.

“Road lighting energy reduction: From HPS to LEDs - A case study of uganda street, Addis Ababa, Ethiopia,” J. K. Ndaaru, P. M. Moses, and C. W. Wabuge, in 2021 IEEE PES/IAS PowerAfrica, PowerAfrica 2021, 2021. doi: 10.1109/PowerAfrica52236.2021.9543238.

“RTE INEN 069 (1R) ‘ALUMBRADO PÚBLICO,’” INEN, QUITO, ECUADOR, 2016.

“Shiny: web application framework for R,” W. Chang et al. R package version, 2021.

“Sky Quality Meter-L,” Unihedron. http://unihedron.com/projects/sqm-l/ (accessed Mar. 31, 2023).

“Sky quality meter measurements in a colour-changing world,” A. S. de Miguel, M. Aubé, J. Zamorano, M. Kocifaj, J. Roby, and C. Tapia, Mon. Not. R. Astron. Soc., vol. 467, no. 3, 2017, doi: 10.1093/mnras/stx145.

“Sky Quality Meter Units Conversion,” Unihedron. http://unihedron.com/projects/darksky/magconv.php (accessed Mar. 31, 2023).

“Street lighting for preventing road traffic injuries,” F. R. Beyer and K. Ker, Cochrane Database Syst. Rev., no. 1, 2009, doi: 10.1002/14651858.CD004728.PUB2/EPDF/ABSTRACT.

“The IoT implementation on the night sky brightness measurement in Banjar using the sky quality meter,” P. Pribadi, Y. Pramudya, Muchlas, and Okimustava, AIP Conf. Proc., vol. 2202, no. 1, p. 020023, Dec. 2019, doi: 10.1063/1.5141636.

“Tutorial: Road Lighting for Efficient and Safe Traffic Environments,” E. Tetri et al., LEUKOS - J. Illum. Eng. Soc. North Am., vol. 13, no. 4, pp. 223–241, 2017, doi: 10.1080/15502724.2017.1283233.

“Understanding Light: Luminance vs Illuminance,” M. L. Global, linkendin, 2021. https://www.linkedin.com/pulse/understanding-light-luminance-vs-illuminance-magnatech-led-global (accessed Mar. 30, 2023).

Published

2023-04-01
ESTADISTICAS
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How to Cite

1.
Guerrero C, Cabrera Mejía J. IoT-based mobile intelligent luminance measurement system. tecnica [Internet]. 2023 Apr. 1 [cited 2024 May 20];7(1). Available from: https://killkana.ucacue.edu.ec/index.php/killkana_tecnico/article/view/1467

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Section

Artículos original de investigación