Intelligent System Application to Monitor the Smart City Building Lighting

doi:10.32604/cmc.2023.035418

機構典藏 > College of Engineering > Department of Artificial Intelligence > Journal Article > Item 987654321/125180

Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/125180

Title:	Intelligent System Application to Monitor the Smart City Building Lighting
Authors:	Chen, Tzu-Chia;Dwijendra, N.K.A.;Singhal, Saurabh;Sivaraman, R.;Mamdouh, Amr
Keywords:	Smart city;lighting index;residential building;energy consumption
Date:	2023-03-31
Issue Date:	2024-03-07 12:06:32 (UTC+8)
Publisher:	Tech Science Press
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.
Relation:	Computers, Materials and Continua 75(2), p.3159-3169
DOI:	10.32604/cmc.2023.035418
Appears in Collections:	[Department of Artificial Intelligence] Journal Article

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