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Advancing Sustainability and Comfort through Smart Sensors and IoT: A Comprehensive Analysis of Automatic Light Control Systems in Residential and Commercial Environments

Sayan Mondal*, Debjit Mukherjee**, Darothee Deyashi***, Krishna Sarker****

St. Thomas' College of Engineering & Technology, West Bengal, India.

Periodicity:January - March'2024
DOI : https://doi.org/10.26634/jee.17.3.20686

Abstract

Automatic light control systems have garnered significant attention for their potential to enhance energy efficiency and user convenience across various settings. This paper provides a comprehensive overview of these systems, elucidating their principles, components, applications, and associated benefits. The primary objective of automatic light control systems is to intelligently regulate lighting levels based on environmental factors such as occupancy, ambient light, and time of day. Various sensors, including Passive Infrared (PIR), ultrasonic, and photoresistors, are commonly employed to detect changes in the surroundings and trigger appropriate lighting adjustments. Advanced control algorithms and communication protocols facilitate seamless integration with building automation systems, enabling centralized management and optimization of lighting across diverse zones. Moreover, the advent of smart lighting solutions leveraging Internet of Things (IoT) platforms enables remote monitoring and control, empowering users to personalize lighting preferences and further optimize energy consumption. The paper critically reviews the key features, benefits, and challenges associated with automatic light control systems, underscoring their pivotal role in promoting sustainability, comfort, and cost-effectiveness in both residential and commercial environments. Additionally, the paper discusses future research directions, highlighting opportunities for innovation in sensor technology, data analytics, and human-centric lighting design to propel the capabilities and adoption of these systems.

Keywords

Automatic Light Control Systems, Sensors, IoT, Platforms, Remote Monitoring, Advanced Control Algorithms, Energy Efficiency, Human-centric Lighting Design, Personalized Lighting Preferences.

How to Cite this Article?

Mondal, S., Mukherjee, D., Deyashi, D., and Sarker, K. (2024). Advancing Sustainability and Comfort through Smart Sensors and IoT: A Comprehensive Analysis of Automatic Light Control Systems in Residential and Commercial Environments. i-manager’s Journal on Electrical Engineering, 17(3), 8-20. https://doi.org/10.26634/jee.17.3.20686

References

[1]. Bai, Y. W., & Ku, Y. T. (2008). Automatic room light intensity detection and control using a microprocessor and light sensors. IEEE Transactions on Consumer Electronics, 54(3), 1173-1176.

[2]. Flamini, A., Ciurluini, L., Loggia, R., Massaccesi, A., Moscatiello, C., & Martirano, L. (2023). A prototype of low- cost home automation system for energy savings and living comfort. IEEE Transactions on Industry Applications, 59(4), 4931 - 4941.

[3]. Kilari, G., Mohammed, R., & Jayaraman, R. (2020, July). Automatic light intensity control using Arduino UNO and LDR. In 2020 International Conference on Communication and Signal Processing (ICCSP) (pp. 0862-0866). IEEE.

[4]. Kuang, J., Xue, G., Yan, Z., & Liu, J. (2023). An automation script generation technique for the smart home. Journal of Web Engineering, 22(2), 221-254.

[5]. Lasya, C., Sai, N. M., Reddy, N. G., Reddy, N. M., Lekshmi, S., & Syama, S. (2022, December). Hardware integration of sensors for automating smart homes. In 2022 International Conference on Automation, Computing and Renewable Systems (ICACRS) (pp. 202- 206). IEEE.

[6]. Lee, C. K., Liu, H., Fuhs, D., Kores, A., & Waffenschmidt, E. (2019). Smart lighting systems as a demand response solution for future smart grids. IEEE Journal of Emerging and Selected Topics in Power Electronics, 8(3), 2362- 2370.

[7]. Li, J., Zhang, X., Zhou, C., Zheng, J., Ge, D., & Zhu, W. (2015). New applications of an automated system for high- power LEDs. I EEE/ ASME Transactions on Mechatronics, 21(2), 1035-1042.

[8]. Lin, H., & Han, Z. (2021). Automatic optimal projected light intensity control for digital fringe projection technique. Optics Communications, 484, 126574.

[9]. Malik, O., & la Hidalga, D. (2013). Semiconductor light-controlled instrument transducer with direct PWM output for automatic control systems. Journal of Applied Research and Technology, 11(1), 18-25.

[10]. Martirano, L., Ruvio, A., Manganelli, M., Lettina, F., Venditti, A., & Zori, G. (2021). High-efficiency lighting systems with advanced controls. IEEE Transactions on Industry Applications, 57(4), 3406-3415.

[11]. Meireles, L. A., Guedes, A. C., Barbosa, C. R., Azevedo, J. L., Cunha, J. P., & Malcata, F. X. (2008). On-line control of light intensity in a microalgal bioreactor using a novel automatic system. Enzyme and Microbial Technology, 42(7), 554-559.

[12]. Parise, G., & Martirano, L. (2012). Daylight impact on energy performance of internal lighting. IEEE Transactions on Industry Applications, 49(1), 242-249.

[13]. Parise, G., Martirano, L., & Cecchini, G. (2013a). Design and energetic analysis of an advanced control upgrading existing lighting systems. IEEE Transactions on Industry Applications, 50(2), 1338-1347.

[14]. Parise, G., Martirano, L., & Di Ponio, S. (2013b). Energy performance of interior lighting systems. IEEE Transactions on Industry Applications, 49(6), 2793-2801.

[15]. Parise, G., Martirano, L., & Parise, L. (2015a). The energetic impact of the lighting system in the road tunnels. IEEE Transactions on Industry Applications, 52(2), 1175-1183.

[16]. Parise, G., Martirano, L., & Parise, L. (2015b). A procedure to estimate the energy requirements for lighting. IEEE Transactions on Industry Applications, 52(1), 34-41.

[17]. Rubinstein, F., Siminovitch, M., & Verderber, R. (1993). Fifty percent energy savings with automatic lighting controls. IEEE Transactions on Industry Applications, 29(4), 768-773.

[18]. Sowmiya, P. B., Nagaswetha, B. K., & Priyadharshini, D. (2017, April). Design of automatic nutrition supply system using IoT technique in modern cities. In 2017 International Conference on Technical Advancements in Computers and Communications (ICTACC) (pp. 109- 111). IEEE.

[19]. Wei, C., Zhao, B., Zheng, H., Li, X., Bai, C., & Hu, W. (2024). Light field control and automatic identification experimental system for physical impairment of glass samples. Optics & Laser Technology, 174, 110698.

[20]. Wen, W. (2008). A dynamic and automatic traffic light control expert system for solving the road congestion problem. Expert systems with Applications, 34(4), 2370- 2381.

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