Analysis of Illumination Generated by LED Matrices Distribution

Сreation of indoor lighting systems with the possibility of changing its parameters in space and time is a promising direction within the framework of the intellectual environment system. The aim of this work was to create a methodology for calculating the illumination created by LED matrices which does not require the use of specialized software products and is adapted to the possibility of varying the parameters of LEDs and illuminated rooms.

The urgency of creating a room lighting system that simulates the conditions of natural lighting taking into account the need to change its spectral composition in time, in space taking into account the physical and psychological state of a person is substantiated. The possibility of using well-known computer programs to calculate the distribution of illumination in the room is analyzed.

A method has been developed for calculating the distribution of illumination on a plane using both a flat LED matrix and a matrix with an inclined arrangement of the planes of individual LEDs. It is shown that the distribution of illumination is a function of the indicatrix of the light intensity of the LED, its location in space, the number of LEDs in the matrix.

Illumination distribution has been calculated for various light sources consisting of RGB LEDs both for desktop and ceiling lighting was calculated. It is established that when using matrices containing the same LEDs distribution of illumination is very nonuniform. The inclined arrangement of LED planes slightly increases uniformity reducing the maximum illumination. For ceiling lighting the option of uniform distribution of LEDs within the ceiling plane provides more uniform illumination than when the same number of LEDs are arranged in groups of matrices.

Results of LED sources modeling indicate the need to modernize simple orthogonal matrices containing the same type of elements with the same power modes for all elements in order to increase the uniformity of illumination and efficiency. Such modernization can be carried out by changing the geometry of matrices differentiating the power modes of individual LEDs. The developed calculation program can be supplemented with options for introducing the above changes, as well as options for analyzing the spectral distribution of light in space.

1. Münch M., Brondsted A.E., Brown S.A., Gjedde А., Kantermann Т., Martiny К., Skene J.D., WirzJustice A., Mersch D. The Effect of Light on Humans. Changing perspectives on daylight: Science, technology and culture. Sponsored supplement to Science/AAS, 2017, pp. 16–23. Access mode: www.researchgate.net/publication/320838876. Access date: 19.01.2022.

2. Barroso A.M. (NL), Saudant R.M. (NL) Lighting system and method: patent RU2584674C2, IPC H05B37/02; applicant KONINKLEIKE PHILIPS ELECTRONICS NV (NL), application 01.05.2012, publ. 20.05. 2016 (in Russian).

3. Shen D. Collimator lenses Edison Opto. Рoluprovodnikovaya svetotekhnika [Solid-state lighting], 2013, no. 1(21), pp. 20–21 (in Russian).

4. Vertli Y. Lenses with adjustable focus for LEDs. Рoluprovodnikovaya svetotekhnika [Solid-state lighting], 2013, no. 1(21), pp. 22–23 (in Russian).

5. Trofimov P., Golikov O. Reflectors and hybrid lenses from Ledlink Optics. Рoluprovodnikovaya svetotekhnika [Solid-state lighting], 2013, no. 1(21), pp. 24– 25 (in Russian).

6. Da Silva H. Improvement of LED lamp designs using plastic optical silicones. Рoluprovodnikovaya svetotekhnika [Solid-state lighting], 2013, no. 1(21), pp. 26– 27 (in Russian).

7. Jian V., Schneider K. Improving the illumination of an object when using optics with full internal reflection. Рoluprovodnikovaya svetotekhnika [Solid-state lighting], 2013, no. 1(21), pp. 28–30 (in Russian).

8. Barbosa J., Calixto W., L. da Cunha Brito. Secondary Lens Optimization for LED Lamps. Journal of mechanics engineering and automation, 2014, no. 4, pp. 46–51.

9. Sharakshane A. On the effectiveness of matte light diffusers. Рoluprovodnikovaya svetotekhnika [Solid-state lighting], 2014, no. 1(27), pp. 8–11 (in Russian).

10. Valiev D.T., Rossomakhina N.E., Tyulkin E.V., Agapov N.A. Development of mathematical software for calculating and evaluating the image quality of an optical system. GraphiCon 2018: proceedings of the 28th International Conference on Computer Graphics and Machines-nom vision. Tomsk, September 24–27, 2018. National research Volume. polytech. un., pp. 418– 421 (in Russian).

11. Kudaev S., Schreiber P. Optimizing LED illumination systems. The International Society for Optical Engineering. Spie Newsroom, 2006. DOI: 10.1117/2.1200609.0353

12. Mandal P., Dey D., Roy B. Optimization of Luminaire Layout to Achieve a Visually Comfortable and Energy-Efficient Indoor General Lighting Scheme by Particle Swarm Optimization. The Journal of the Illuminating Engineering Society of North America, 2019, no. 17(1), pp. 1–16. DOI: 10.1080/15502724.2018.1533853

13. Nikiforov S. “S-class” of semiconductor lighting engineering. Komponenty i tekhnologii [Components and technologies], 2009, no. 6, pp. 88–91 (in Russian).