Open Access

ARTICLE

Intelligent System Application to Monitor the Smart City Building Lighting

Tzu-Chia Chen¹, Ngakan Ketut Acwin Dwijendra^2,*, Saurabh Singhal³, R. Sivaraman⁴, Amr Mamdouh⁵

1 Department of Industrial Engineering and Management, Ming Chi University of Technology, New Taipei City, 24301, Taiwan
2 Department of Architecture, Faculty of Engineering, Udayana University, Bali, 80361, Indonesia
3 Department of Computer Engineering and Applications, GLA University, Mathura, Uttar Pradesh, India
4 Department of Mathematics, Dwaraka Doss Goverdhan Doss Vaishnav College, Arumbakkam, University of Madras, Chennai, India
5 Architectural Engineering Department, Faculty of Engineering & Technology, Future University in Egypt, New Cairo, 11835, Egyp

* Corresponding Authors: Ngakan Ketut Acwin Dwijendra. Email: ,

Computers, Materials & Continua 2023, 75(2), 3159-3169. https://doi.org/10.32604/cmc.2023.035418

Received 20 August 2022; Accepted 28 September 2022; Issue published 31 March 2023

Abstract

A smart city incorporates infrastructure methods that are environmentally responsible, such as smart communications, smart grids, smart energy, and smart buildings. The city administration has prioritized the use of cutting-edge technology and informatics as the primary strategy for enhancing service quality, with energy resources taking precedence. To achieve optimal energy management in the multidimensional system of a city tribe, it is necessary not only to identify and study the vast majority of energy elements, but also to define their implicit interdependencies. This is because optimal energy management is required to reach this objective. The lighting index is an essential consideration when evaluating the comfort indicators. In order to realize the concept of a smart city, the primary objective of this research is to create a system for managing and monitoring the lighting index. It is possible to identify two distinct phases within the intelligent system. Once data collection concludes, the monitoring system will be activated. In the second step, the operation of the control system is analyzed and its effect on the performance of the numerical model is determined. This evaluation is based on the proposed methodology. The optimized results were deemed satisfactory because they maintained the brightness index value (79%) while consuming less energy. The intelligent implementation system generated satisfactory outcomes, which were observed 1.75 times on average.

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Keywords

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