Abstract
In recent years there has been a substantial increase in the number of outdoor lighting installations, the energy management of this has not been greatly improved and electricity consumption has skyrocketed. Most of it does not come from renewable energies with all the negative effects that this entails. With all this, public lighting can represent up to a total of 54% of the energy consumption of a municipality and up to 61% of its electricity consumption. This work focuses on the analysis of the factors to consider in the implementation and application of a lighting control system in a real environment for energy saving. The system should be based on the collection of data by the different sensors installed in the luminaries of the route oriented to the environment of the Smart Cities and the Intelligent Transport Systems (ITS). The main objective is to try to reduce the consumption of electrical energy as much as possible while maintaining the comfort that the road user feels in it. For this, the weak points of these systems will be searched and their elimination will be sought. A study will be made of the situation of the systems available today. The characteristics of these systems will be analysed. Based on the characteristics of the systems analysed, the necessary requirements of the system presented will be determined. The characteristics that will make this project different from the rest will be established. An architecture proposal that seeks to optimise the parameters analysed will be presented.
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Acknowledgments
Work supported by the Spanish Science and Innovation Ministry MICINN: CICYT project PRECON-I4: “Predictable and dependable computer systems for Industry 4.0” TIN2017-86520-C3-1-R.
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Sáenz-Peñafiel, JJ., Poza-Lujan, JL., Posadas-Yagüe, JL. (2020). Smart Cities: A Taxonomy for the Efficient Management of Lighting in Unpredicted Environments. In: Herrera, F., Matsui , K., Rodríguez-González, S. (eds) Distributed Computing and Artificial Intelligence, 16th International Conference. DCAI 2019. Advances in Intelligent Systems and Computing, vol 1003 . Springer, Cham. https://doi.org/10.1007/978-3-030-23887-2_8
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DOI: https://doi.org/10.1007/978-3-030-23887-2_8
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