DOI: https://doi.org/10.14710/jtsiskom.2022.14443

Adaptive Lighting System for Presence Detection and Indoor Room Brightness Control

1Department of Electrical Engineering, President University, Jababeka Industrial Park, Cikarang, Kab.Bekasi, Jawa Barat, Indonesia., Indonesia

2President University, Indonesia

Received: 7 Apr 2022; Published: 30 Apr 2022.
Open Access Copyright (c) 2022 Mia Galina
Creative Commons License This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Citation Format:
Abstract

According to the survey, 10% of the electricity used is for lights. Adaptive lighting is a term used to describe innovations that reduce energy consumption for lighting. Generally speaking, adaptive lighting is a highly developed system built with built-in sensors to react automatically without the assistance of the people to make a decision. The research aims to develop an adaptive lighting system with two main functions presence detection and fuzzy logic implementations for automatic brightness adjustments. Increased sensitivity in detecting the presence and movement of items, monitoring the lighting conditions in the room, and consideration of the system's energy efficiency, which was not the main emphasis of the previous study, are some improvements over earlier studies. The device was tested for five days to calculate the energy consumption efficiency of a 4.5 W bulb for 10 hours in total. With a 98.4 % accuracy rate, the adaptive lighting system has proven 74% more efficient than regular lighting.

Fulltext View|Download Email colleagues
Keywords: Adaptive lighting; energy consumption; fuzzy logic; light-dependent resistor; lighting

Article Metrics:

Article Info
Section: Original Research Articles
Language : EN
Related articles
Adaptive seismic noise reduction using Wiener filter Analysis of the Wiener filters application to the spectral fluctuation patterns segmentation Predictive Adaptive Test with Selective Weighted Bayesian Through Questions and Answers Patterns to Measure Student Competency Levels Classification of Swarm Intelligence Algorithms In Complex Adaptive System Perspective with Statistical Comparative Test Method More related articles
Most cited articles
Web Application of Lecturer Performance Assesment on Teaching Process: A Case Study at Internal Quality Assurance Agency of Institut Teknologi Padang Automatic Home Roof System on Smarthome by Using Arduino Aplikasi Pencarian Rute Perguruan Tinggi Berbasis Android Menggunakan Location Based Service (LBS) di Kota Semarang Android Application of Expert System for Gastroenteritis Detection SMS Security Improvement using RSA in Complaints Application on Regional Head Election’s Fraud More cited articles
  1. Y.Cheng, C.Fang, J.Yuan dan L.Zhu, “Design and Application of a Smart Lighting System Based on Distributed Wireless Sensor Networks,” Applied Science, vol. 10, no. 23, pp. 1-21, 2020. doi: https://doi.org/10.3390/app10238545
  2. S.Z.Laikha, A.Adria dan A.Rahman, “Sistem Otomasi Lampu Rumah Adaptif Berbasis Artificial Neural Network,” Jurnal Komputer, Informasi Teknologi, dan Elektro (KITEKTRO), vol. 3, no. 2, pp. 68-75, 2018
  3. M.Khairudin, S.Riyanto dan Z.Mohammed, “Development of Fuzzy Logic Control for Indoor Lighting Using LEDs Group,” Telecommunication, Computing, Electronics and Control (TELKOMNIKA), vol. 16, no. 3, pp. 1165-1173, 2018. http://doi.org/10.12928/telkomnika.v16i3.8048
  4. W.R.Ryckaert, C.Lootens, J.Geldof dan P.Hanselaer, “Criteria for energy efficient lighting in buildings,” Energy and Buildings, vol. 42, no. 3, pp. 341-347, 2010. https://doi.org/10.1016/j.enbuild.2009.09.012
  5. A.Motamed, L.Deschamps dan J.L.Scartezzini, “Eight-month experimental study of energy impact of integrated control of sun shading and lighting system based on HDR vision sensor,” Energy and Buildings, vol. 203, 2019. https://doi.org/10.1016/j.enbuild.2019.109443
  6. G. Chiesa, D.D.Vita, A.Ghadirzadeh, A.H.M.Herrera dan J.C.L.Rodriguez, “A fuzzy-logic IoT lighting and shading control system for smart buildings,” Automation in Construction, vol. 120, no. 103397, 2020. https://doi.org/10.1016/j.autcon.2020.103397
  7. G.Cimini, A.Freddi, G.Ippoliti, A.Monteriù dan M.Pirro, “A Smart Lighting System for Visual Comfort and Energy Savings in Industrial and Domestic Use,” Electric Power Components and Systems, vol. 43, no. 15, p. 1696–1706, 2015. https://doi.org/10.1080/15325008.2015.1057777
  8. A.Pandharipande dan D.Caicedo, “Smart Indoor Lighting Systems with Luminaire-based Sensing: A Review of Lighting Control Approaches,” Energy and Buildings, vol. 104, pp. 369-377, 2015. https://doi.org/10.1016/j.enbuild.2015.07.035
  9. P.Santiprapan, K.Sengchuai, N.Jindapetch, H.Saito dan A.Booranawong, “Development of an adaptive device-free human detection system for residential lighting load control,” Computers and Electrical Engineering, vol. 93 (107233), 2021. https://doi.org/10.1016/j.compeleceng.2021.107233
  10. D. Sihaloho, “Kendali Kecerahan Lampu Menggunakan Fuzzy Logic Dan Monitoring Berbasis Labview pada Prototype Smart Building,” Politeknik Negeri Batam, Batam, 2015
  11. G.Turesna, Z.Zulkarnain dan H.Hermawan, “Pengendali Intensitas Lampu Ruangan Berbasis Arduino UNO Menggunakan Metode Fuzzy Logic,” Jurnal Otomasi Kontrol dan Instrumentasi, vol. 7, no. 2, pp. 73-88, 2017. https://doi.org/10.5614/joki.2015.7.2.2
  12. A.M.H.Pardede, Novriyenni dan S.Efendi, “Implementasi Pengendalian Lampu Otomatis Berbasis Arduino Menggunakan Metode Fuzzy Logic,” Jurnal Penelitian Teknik Informatika Universitas Malikussaleh (TECHSI), vol. 9, no. 2, pp. 164-177, 2017. doi: 10.29103/techsi.v9i2.221
  13. L.A.Putra dan A.R.Hakim, “Sistem Kendali Lampu Cerdas Pada Smarthome Berbasis Android mengunakan Metode Fuzzy Logic Control,” Computer Science Research and Its Development Journal (CSRID), vol. 10, no. 1, pp. 33-43, 2018. doi: 10.22303/csrid.10.1.2018.9-19
  14. A.B.Setiawan dan R.D.Puriyanto, “Pengatur Intensitas Cahaya Ruangan dengan Metode Fuzzy Logic Menggunakan PLC,” Buletin Ilmiah Sarjana Teknik Elektro, vol. 1, no. 3, pp. 100-107, 2019. doi: https://doi.org/10.12928/biste.v1i3.1033
  15. A. Mukti, O.D.Nurhayati dan E.D.Widianto, “Rancang Bangun Sistem Kontrol Robot Line Follower Menggunakan Logika Fuzzy,” Jurnal Teknologi dan Sistem Komputer (JTsiskom), vol. 3, no. 4, pp. 536-543, 2015. doi: https://doi.org/10.14710/jtsiskom.3.4.2015.536-543
  16. A.T.Azar dan S.Vaidyanathan, “Advances in Chaos Theory and Intelligent Control,” Springer International Publishing, Switzerland, 2016
  17. K.R.Wagiman, M.N.Abdullah, M.Y.Hassan, N.H.M.Radzi, A.H.A.Bakar dan T.C.Kwang, “Lighting system control techniques in commercial buildings: Current trends and future directions,” Journal of Building Engineering, vol. 31, 2020. https://doi.org/10.1016/j.jobe.2020.101342
  18. C. Bakker, M.Aries, H.Kort dan A.Rosemann, “Occupancy-based lighting control in open-plan office spaces: a state-of-the-art review,” Building and Environment, vol. 112, p. 308–321, 2017. https://doi.org/10.1016/j.buildenv.2016.11.042
  19. K.R.Wagiman, M.N.Abdullah, M.Y.Hassan dan N. Radzi, “A review on sensing- based strategies of interior lighting control system and their performance in commercial buildings,” Indonesian Journal of Electrical Engineering and Computer Science, vol. 16, no. 1, p. 208–215, 2019. doi: 10.11591/ijeecs.v16.i1.pp208-215
  20. S.A.E.Hamza dan A.Babiker.A, “The Common Use of Pulse Width Modulation “PWM” Technique in Power Electronics,” International Journal of Science and Research (IJSR), vol. 3, no. 11, pp. 2129-2132, 2014
  21. H. a. M.Roser, “Energy Production and Consumption,” Our World In Data, 2019. [Online]. Available: https://ourworldindata.org/energy-production-consumption. [Diakses 15 May 2022]
  22. S.Papantoniou, D.Kolokotsa, K.Kalaitzakis, D.N.Cesarini, E.Cubi dan C.Cristalli, “Adaptive lighting controllers using smart sensors,” International Journal of Sustainable Energy, vol. 35, no. 6, pp. 537-553, 2014. https://doi.org/10.1080/14786451.2014.923887
  23. J.O.Bird dan C.T.F.Ross, Mechanical Engineering Principles, Abingdon, Oxon: Routledge, 2012, pp. 161-176
  24. S. Escolar, J. Carretero, M. C. Marinescu dan S. Chessa, “Estimating energy savings in smart street lighting by using an adaptive control system,” International Journal of Distributed Sensor Networks, vol. 10, no. 5, pp. 1-17, 2014. https://doi.org/10.1155/2014/971587
  25. A. I. Systems, “College Physics Labs Mechanics, “Measurements and Error Analysis”,” The University of North Carolina at Chapel Hill, 2011. [Online]. Available: http://www.webassign.net/question_assets/unccolphysmechl1/measurements/manual.html

Last update:

No citation recorded.

Last update: 2024-11-03 03:28:50

No citation recorded.