Abstract
Solar ultraviolet (UV) radiation has increased in recent years due to ozone layer depletion and in Ecuador in particular, due to its geographical position and the height of its cities. Prolonged sun exposures in childhood increase the risk of causing malignant effects on the skin and eyes, such as squamous cell carcinoma, melanoma and cataracts. For this reason, this document describes the design of a device based on UV optical sensors that allows determining the existing radiation index. As a processing unit there is the Raspberry Pi 3B+ embedded board and to display the data physically there are LED panels. The storage of information is done through a database managed by MySQL and also implemented on the board. The levels of the ultraviolet radiation index (UVI) are presented through a graphical user interface (GUI) in real time, which also allows generating a report in a .csv file. Functional tests were carried out in the central courtyard of two educational units, to raise awareness among parents and authorities on the adoption of preventive measures that avoid possible damage to the skin of children when carrying out outdoor activities.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Young, A.R., Claveau, J., Rossi, A.B.: Ultraviolet radiation and the skin: photobiology and sunscreen photoprotection. J. Am. Acad. Dermatol. (2017). https://doi.org/10.1016/j.jaad.2016.09.038
Dietliker, K., Baro, J.: UV radiation sources and UV radiation measurement. In: Handbook of Industrial Inkjet Printing: A Full System Approach (2017). https://doi.org/10.1002/9783527687169.ch5
Premalatha, N., Valan Arasu, A.: Prediction of solar radiation for solar systems by using ANN models with different back propagation algorithms. J. Appl. Res. Technol. (2016). https://doi.org/10.1016/j.jart.2016.05.001
Acevedo-Luna, A., Bernal-Correa, R., Montes-Monsalve, J., Morales-Acevedo, A.: Design of thin film solar cells based on a unified simple analytical model. J. Appl. Res. Technol. (2017). https://doi.org/10.1016/j.jart.2017.08.002
Diffey, B.L.: Time and place as modifiers of personal UV exposure. Int. J. Environ. Re. Publ. Health (2018). https://doi.org/10.3390/ijerph15061112
Kechichian, E., Ezzedine, K.: Vitamin D and the skin: an update for dermatologists. Am. J. Clin. Dermatol. 19(2), 223–235 (2017). https://doi.org/10.1007/s40257-017-0323-8
Dessinioti, C., Katsambas, A.: Melasma. In: Hyperpigmentation (2017). https://doi.org/10.1201/9781315162478
Coffin, S.L., Turrentine, J.E., Cruz, P.D.: Photodermatitis for the allergist. Curr. Allergy Asthma Rep. 17(6), 1–7 (2017). https://doi.org/10.1007/s11882-017-0705-2
Pozzobon, F.C., Acosta, A.E.: Epidemiological profile of primary cutaneous melanoma over a 15-year period at a private skin cancer center in Colombia. Rev. Salud Publica (2018). https://doi.org/10.15446/rsap.v20n2.65616
García, J.A., Quinteros, C., Romero, A., Dutra, F.: Occurrence of squamous cell carcinoma in Milchschaf sheep in Uruguay. Ciência Rural (2017). https://doi.org/10.1590/0103-8478cr20170406
Wu, F., Redoute, J.M., Yuce, M.R.: WE-safe: a self-powered wearable IoT sensor network for safety applications based on LoRa. IEEE Access (2018). https://doi.org/10.1109/ACCESS.2018.2859383
Kanellis, V.G.: Ultraviolet radiation sensors: a review. Biophys. Rev. 11(6), 895–899 (2019). https://doi.org/10.1007/s12551-019-00556-9
Turner, J., Igoe, D., Parisi, A. V., McGonigle, A.J., Amar, A., Wainwright, L.: A review on the ability of smartphones to detect ultraviolet (UV) radiation and their potential to be used in UV research and for public education purposes (2020). https://doi.org/10.1016/j.scitotenv.2019.135873
Borgogno-Mondino, E., Sarvia, F., Gomarasca, M.A.: Supporting insurance strategies in agriculture by remote sensing: a possible approach at regional level. In: Misra, S., et al. (eds.) ICCSA 2019. LNCS, vol. 11622, pp. 186–199. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-24305-0_15
García, C.A., et al.: Fuzzy control implementation in low cost CPPS devices. In: IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, pp. 162–167 (2017). https://doi.org/10.1109/MFI.2017.8170423
Buele, J., et al.: Interactive system for monitoring and control of a flow station using LabVIEW. In: Rocha, Á., Guarda, T. (eds.) ICITS 2018. AISC, vol. 721, pp. 583–592. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-73450-7_55
Kerdprasop, K., Kerdprasop, N.: Remote sensing based model induction for drought monitoring and rainfall estimation. In: Gervasi, O., et al. (eds.) ICCSA 2016. LNCS, vol. 9788, pp. 356–368. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-42111-7_28
Buele, J., Varela-Aldás, J., Santamaría, M., Soria, A., Espinoza, J.: Comparison between fuzzy control and MPC algorithms implemented in low-cost embedded devices. In: Rocha, Á., Ferrás, C., Montenegro Marin, C.E., Medina García, V.H. (eds.) ICITS 2020. AISC, vol. 1137, pp. 429–438. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-40690-5_42
Jonathan, O., Misra, S., Ibanga, E., Maskeliunas, R., Damasevicius, R., Ahuja, R.: Design and implementation of a mobile webcast application with google analytics and cloud messaging functionality. J. Phys. Conf. Ser. (2019). https://doi.org/10.1088/1742-6596/1235/1/012023
Semlali, B.E.B., El Amrani, C., Denys, S.: Development of a Java-based application for environmental remote sensing data processing. Int. J. Electr. Comput. Eng. 9, 1978–1986 (2019). https://doi.org/10.11591/ijece.v9i3.pp1978-1986
Shete, R., Agrawal, S.: IoT based urban climate monitoring using Raspberry Pi. In: International Conference on Communication and Signal Processing, ICCSP 2016, pp. 2008–2012 (2016). https://doi.org/10.1109/ICCSP.2016.7754526
Narayanamurthy, V., et al.: Skin cancer detection using non-invasive techniques. RSC Adv. 8, 28095–28130 (2018). https://doi.org/10.1039/c8ra04164d
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Buele, J., Chango, F.I., Chango, M.d., Santamaría, M., Varela-Aldás, J. (2020). System for Monitoring and Warning of the Ultraviolet Radiation Index: A Study Case in Ecuador Elementary Schools. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2020. ICCSA 2020. Lecture Notes in Computer Science(), vol 12254. Springer, Cham. https://doi.org/10.1007/978-3-030-58817-5_60
Download citation
DOI: https://doi.org/10.1007/978-3-030-58817-5_60
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-58816-8
Online ISBN: 978-3-030-58817-5
eBook Packages: Computer ScienceComputer Science (R0)