Prototyping a Lighting Control System Using LabVIEW with Real-Time High Dynamic Range Images (HDRis) as the Luminance Sensor
Abstract
:1. Introduction
2. Materials and Methods
2.1. Model Prototype
- 9 dimmable LED lamps with a dimmable DMX driver.
- 2 LED Fresnel lamps.
- An Arduino Uno as the DMX controller.
- A 360° IP camera.
- A luminance meter.
- A laptop installed with LabVIEW software.
2.2. HDRi Processing
2.3. Calibration and Verification
2.3.1. Vignetting Effect and Correction of HDRi Luminance Results
2.3.2. Luminance Requirement for Each Activity
2.3.3. Brightness Level and Energy Consumption of Dimmable LED Lamp
2.4. Measurement Schemes
2.4.1. Measurement Scheme 1
2.4.2. Measurement Scheme 2
2.4.3. Measurement Scheme 3
3. Results and Discussion
3.1. Luminance Values and Lamp Brightness Levels
3.1.1. Measurement Scheme 1A
3.1.2. Measurement Scheme 1B
3.1.3. Measurement Scheme 2A
3.1.4. Measurement Scheme 2B
3.1.5. Measurement Scheme 3A
3.1.6. Measurement Scheme 3B
3.2. Energy Consumption
4. Conclusions
- The LCS based on HDRi that brightens the lamps in sequence can be a solution to be applied in a room with various functions and activities, and in the presence of daylight to provide visual comfort. This prototype proves that the LCS works well for a room that requires a uniform luminance value, and for a room that requires different luminance values and brightness contrast, with or without daylight.
- The results of this study indicate that lamp brightness levels vary depending on the activities that occur in the room. The lamp brightness levels of the different schemes are as follows:
- Measurement Scheme 1A: 6 lamps at 30% brightness and 3 lamps at 20% brightness
- Measurement Scheme 1B: 3 lamps at 30% brightness and 6 lamps at 30% brightness
- Measurement Scheme 2A: 3 lamps at 50% brightness, 3 lamps at 20% brightness, and 3 lamps at 10% brightness
- Measurement Scheme 2B: 1 lamp at 60% brightness, 2 lamps at 50% brightness, 2 lamps at 20% brightness, and 4 lamps at 10% brightness
- Measurement Scheme 3A: 1 lamp at 40% brightness, 4 lamps at 30% brightness, and 4 lamps turned off
- Measurement Scheme 3B: 2 lamps at 40% brightness, 3 lamps at 30% brightness, 2 lamps at 10% brightness, and 2 lamps turned off
- Compared to the electricity consumption of the baseline, with nine LED lamps brightened at 100%, which is approximately 558 W, the LCS prototype presented can achieve energy savings for scheme 1A, scheme 1B, scheme 2A, scheme 2B, scheme 3A, and scheme 3B of approximately 73.39%, 76.77%, 73.71%, 74.49%, 82.38%, and 79.03%, respectively.
- The presence of daylight does not always result in more energy savings since the brightness contrast should be considered to achieve visual comfort.
- This study demonstrates the advantages in supporting the flexible use of space of “field of view” sensors over traditional spot lighting sensors.
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
Appendix A
References
- Kruisselbrink, T.; Dangol, R.; van Loenen, E. A comparative study between two algorithms for luminance-based lighting control. Energy Build. 2020, 228, 110429. [Google Scholar] [CrossRef]
- Kumar, A.; Kar, P.; Warrier, R.; Kajale, A.; Panda, S. Implementation of Smart LED Lighting and Efficient Data Management System for Buildings. Energy Procedia 2017, 143, 173–178. [Google Scholar] [CrossRef]
- Haq, M.A.U.; Hassan, M.Y.; Abdullah, H.; Rahman, H.A.; Abdullah, P.; Hussin, F.; Said, D.M.; Haq, M.A.U.; Hassan, M.Y.; Abdullah, H.; et al. A review on lighting control technologies in commercial buildings, their performance and affecting factors. Renew. Sustain. Energy Rev. 2014, 33, 268–279. [Google Scholar] [CrossRef]
- Mohamed, S.; Minhat, M.; Kasim, M.; Adam, M.; Sulaiman, M.; Rizman, Z. An Intelligent Lighting Control System (ILCS) using LabVIEW. J. Fundam. Appl. Sci. 2018, 9, 602. [Google Scholar] [CrossRef] [Green Version]
- Doulos, L.T.; Kontadakis, A.; Madias, E.N.; Sinou, M.; Tsangrassoulis, A. Minimizing energy consumption for artificial lighting in a typical classroom of a Hellenic public school aiming for near Zero Energy Building using LED DC luminaires and daylight harvesting systems. Energy Build. 2019, 194, 201–217. [Google Scholar] [CrossRef]
- Cheng, Y.; Fang, C.; Yuan, J.; Zhu, L. Design and Application of a Smart Lighting System Based on Distributed Wireless Sensor Networks. Appl. Sci. 2020, 10, 8545. [Google Scholar] [CrossRef]
- Frascarolo, M.; Martorelli, S.; Vitale, V. An innovative lighting system for residential application that optimizes visual comfort and conserves energy for different user needs. Energy Build. 2014, 83, 217–224. [Google Scholar] [CrossRef]
- Sun, B.; Zhang, Q.; Cao, S. Development and Implementation of a Self-Optimizable Smart Lighting System Based on Learning Context in Classroom. Int. J. Environ. Res. Public Health 2020, 17, 1217. [Google Scholar] [CrossRef] [Green Version]
- Karyono, K.; Abdullah, B.; Cotgrave, A.; Bras, A. A Novel Adaptive Lighting System Which Considers Behavioral Adaptation Aspects for Visually Impaired People. Buildings 2020, 10, 168. [Google Scholar] [CrossRef]
- Carrillo, C.; Diaz-Dorado, E.; Cidrás, J.; Bouza-Pregal, A.; Falcón, P.; Fernández, A.; Álvarez-Sánchez, A. Lighting control system based on digital camera for energy saving in shop windows. Energy Build. 2013, 59, 143–151. [Google Scholar] [CrossRef]
- Cheng, Z.; Zhao, Q.; Wang, F.; Jiang, Y.; Xia, L.; Ding, J. Satisfaction based Q-learning for integrated lighting and blind control. Energy Build. 2016, 127, 43–55. [Google Scholar] [CrossRef]
- Shen, E.; Hu, J.; Patel, M. Energy and visual comfort analysis of lighting and daylight control strategies. Build. Environ. 2014, 78, 155–170. [Google Scholar] [CrossRef]
- Chiou, Y.-S.; Saputro, S.; Sari, D.P. Visual Comfort in Modern University Classrooms. Sustainability 2020, 12, 3930. [Google Scholar] [CrossRef]
- Suk, J.Y. Luminance and vertical eye illuminance thresholds for occupants’ visual comfort in daylit office environments. Build. Environ. 2018, 148, 107–115. [Google Scholar] [CrossRef]
- Chraibi, S.; Creemers, P.; Rosenkötter, C.; Van Loenen, E.; Aries, M.; Rosemann, A. Dimming strategies for open office lighting: User experience and acceptance. Light. Res. Technol. 2018, 51, 513–529. [Google Scholar] [CrossRef] [Green Version]
- Yu, T.-H.; Kwon, S.-Y.; Im, K.-M.; Lim, J.-H. An RTP-based dimming control system for visual comfort enhancement and energy optimization. Energy Build. 2017, 144, 433–444. [Google Scholar] [CrossRef]
- Benefits of Programming Graphically in NI LabVIEW Table of Contents A Brief History of the Pursuit of Higher-Level Pro-Gramming. Available online: http://www.technologyreview.com/sites/default/files/legacy/benefits_of_programming_graphically_with_lv.pdf (accessed on 10 January 2022).
- Tasner, T.; Lovrec, D.; Tasner, F.; Edler, J. Comparison of LabVIEW and MATLAB for scientific research. Ann. Fac. Eng. Hunedoara 2012, 3, 389–394. [Google Scholar]
- Bogdan, M. Light Intensity Control Using Arduino Uno and Lab VIEW. In Proceedings of the 13th International Conference on Virtual Learning (ICVL), Alba Iulia, Romania, 26–28 October 2018; pp. 306–310. [Google Scholar]
- Schwartz, M.; Manickum, O. Programming Arduino with LabVIEW.; Packt Publishing: Birmingham, UK, 2015. [Google Scholar]
- Reinhard, E.; Wolfgang, H.; Debevec, P.; Pattanaik, S.; Ward, G.; Myszkowski, K. High Dynamic Range Imaging: Acquisition, Display and Image-Based Lighting, 2nd ed.; Morgan Kaufmann: Burlington, MA, USA, 2010. [Google Scholar]
- Debevec, P.E.; Malik, J. Recovering high dynamic range radiance maps from photographs. In Proceedings of the SIGGRAPH ’97: Proceedings of the 24th Annual Conference on Computer Graphics and Interactive Techniques, Los Angeles, CA, USA, 3–8 August 1997; pp. 369–378. [Google Scholar] [CrossRef]
- Radiance: A Simulation Tool for Daylighting Systems. Available online: http://radsite.lbl.gov/radiance/refer/rc97tut.pdf (accessed on 10 January 2022).
- Pierson, C.; Cauwerts, C.; Bodart, M.; Wienold, J. Tutorial: Luminance Maps for Daylighting Studies from High Dynamic Range Photography. LEUKOS 2020, 17, 140–169. [Google Scholar] [CrossRef] [Green Version]
- Inanici, M. Evaluation of high dynamic range photography as a luminance data acquisition system. Light. Res. Technol. 2006, 38, 123–134. [Google Scholar] [CrossRef]
- Kruisselbrink, T.; Aries, M.; Rosemann, A. A Practical Device for Measuring the Luminance Distribution. Int. J. Sustain. Light. 2017, 19, 75–90. [Google Scholar] [CrossRef] [Green Version]
- Safranek, S.; Davis, R.G. Sources of Error in HDRI for Luminance Measurement: A Review of the Literature. LEUKOS-J. Illum. Eng. Soc. N. Am. 2020, 17, 187–208. [Google Scholar] [CrossRef]
- BS EN 12464-1:2021; BSI Standards Publication Light and Lighting—Lighting of Work Places Part 1: Indoor Work Places. BSI Standards Limited 2021: London, UK, 2021.
- Chinomi, N.; Leelajindakrairerk, M.; Boontaklang, S.; Chompoo-Inwai, C. Design and Implementation of a smart monitoring system of a modern renewable energy micro-grid system using a low-cost data acquisition system and LabVIEWTM program. J. Int. Counc. Electr. Eng. 2017, 7, 142–152. [Google Scholar] [CrossRef] [Green Version]
- Essick, J. Hands-On Introduction to LabVIEW for Scientists and Engineers; Oxford University Press: New York, NY, USA, 2009. [Google Scholar]
- Hamed, B. Design & Implementation of Smart House Control Using LabVIEW. Int. J. Soft Comput. Eng. 2012, 1, 98–106. [Google Scholar]
- Angalaeswari, S.; Deepa, T.; Subbulekshmi, D.; Krithiga, S.; Reddy, M.N.; Siddartha, K.; Chaitanya, C. Smart House Control using LabVIEW. J. Phys. Conf. Ser. 2021, 1716, 012004. [Google Scholar] [CrossRef]
- Taleb, M.; Mannsour, N. A self-controlled energy efficient office lighting system. J. Assoc. Arab Univ. Basic Appl. Sci. 2012, 11, 9–15. [Google Scholar] [CrossRef] [Green Version]
- Chiou, Y.; Lin, Y. A Portable Testbed for Integrative Daylighting Design. In Proceedings of the PLEA 2016 Proceedings, Cities, Buildings People: Toward Regenerative Environments, Los Angeles, CA, USA, 11–13 July 2016. [Google Scholar]
Ref. | Objectives | Detection/Measurement | Method | |
---|---|---|---|---|
Tools/ Sensor | Unit | |||
[5] | Energy saving by applying daylight harvesting systems and lighting control | Daylight sensor | Illuminance (lux) | Simulation using DYSIM software based on the close loop control algorithm |
[6] | Minimizing energy consumption | Occupancy sensor, ambient lux sensor, and scheduling | Illuminance (lux) | ZigBee protocol and illumination control rules |
[7] | Providing visual comfort and energy saving for different uses and room layouts | Daylight sensor and user control | Illuminance (lux) | Home automation system |
[8] | Adjusting lighting brightness, CCT, and illuminance distribution to meet various needs | Occupancy sensor, ambient lux sensor, scheduling, and user control | Illuminance (lux) and correlated color temperature (K) | IoT (Internet of Things) gateways and cloud platform |
[9] | Providing illumination levels based on the users’ needs and routines | PIR sensor, lux sensor, scheduling | Illuminance (lux) | Simulation using Dialux Evo software based on Fuzzy Logic and Artificial Neural Network |
[10] | Proposing a control system for shop window lighting | Digital camera to produce HDRi | Luminance (cd/m2) | DMX controller based on rules and algorithm |
[11] | Developing a lighting system integrating users in the control loop | Lux sensor, user survey | Illuminance (lux) and users’ response | Q-learning algorithm |
[12] | Comparing independent and integrated control strategies based on energy saving and lighting performance | Occupancy sensor, ambient lux sensor, and scheduling | Illuminance (lux) | Co-simulation platform consisting of BCVTB, EnergyPlus, and MATLAB |
Activity | Measurement Area | Illuminance (Lux) | Luminance (cd/m2) |
---|---|---|---|
Reading and writing | Working plan/desks | 500 | 100 |
Teaching | Whiteboard | 600 | 120 |
Working plan/desks | 300 | 60 | |
Drawing and art activity | Center area | 500 | 100 |
Background area | 250 | 50 |
Brightness Level (%) | Measured Energy Consumption (W) | Product Information Output Power (W) | Difference (%) |
---|---|---|---|
10 | 6.7 | 6 | 11.67 |
20 | 12.3 | 12 | 2.5 |
30 | 18.6 | 18 | 3.33 |
40 | 23.9 | 24 | 0.42 |
50 | 29.9 | 30 | 0.33 |
60 | 36.7 | 36 | 1.94 |
70 | 41.9 | 42 | 0.24 |
80 | 48.4 | 48 | 0.83 |
90 | 56 | 54 | 3.7 |
100 | 62 | 60 | 3.33 |
Measurement Scheme | Number of Lamps Brightened at | ||||||
---|---|---|---|---|---|---|---|
60% | 50% | 40% | 30% | 20% | 10% | off | |
1A | - | - | - | 6 | 3 | - | - |
1B | - | - | - | 3 | 6 | - | - |
2A | - | 3 | - | - | 3 | 3 | - |
2B | 1 | 2 | - | - | 2 | 4 | - |
3A | - | - | 1 | 4 | - | - | 4 |
3B | - | - | 2 | 3 | - | 2 | 2 |
Measurement Scheme | Energy Consumption (W) | Energy Saving (%) |
---|---|---|
1A | 148.5 | 73.39 |
1B | 129.6 | 76.77 |
2A | 146.7 | 73.71 |
2B | 147.9 | 73.49 |
3A | 98.3 | 82.38 |
3B | 117 | 79.03 |
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Budhiyanto, A.; Chiou, Y.-S. Prototyping a Lighting Control System Using LabVIEW with Real-Time High Dynamic Range Images (HDRis) as the Luminance Sensor. Buildings 2022, 12, 650. https://doi.org/10.3390/buildings12050650
Budhiyanto A, Chiou Y-S. Prototyping a Lighting Control System Using LabVIEW with Real-Time High Dynamic Range Images (HDRis) as the Luminance Sensor. Buildings. 2022; 12(5):650. https://doi.org/10.3390/buildings12050650
Chicago/Turabian StyleBudhiyanto, Aris, and Yun-Shang Chiou. 2022. "Prototyping a Lighting Control System Using LabVIEW with Real-Time High Dynamic Range Images (HDRis) as the Luminance Sensor" Buildings 12, no. 5: 650. https://doi.org/10.3390/buildings12050650
APA StyleBudhiyanto, A., & Chiou, Y. -S. (2022). Prototyping a Lighting Control System Using LabVIEW with Real-Time High Dynamic Range Images (HDRis) as the Luminance Sensor. Buildings, 12(5), 650. https://doi.org/10.3390/buildings12050650