THE POTENTIAL TO REDUCE THE OPERATING COSTS OF SPORTS LIGHTING EQUIPMENT MAINTENANCE THROUGH THE USE OF NEURAL NETWORKS
Light and Engineering, cilt.34, sa.1, ss.75-88, 2026 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 34 Sayı: 1
- Basım Tarihi: 2026
- Doi Numarası: 10.33383/2025-025
- Dergi Adı: Light and Engineering
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Compendex
- Sayfa Sayıları: ss.75-88
- Anahtar Kelimeler: luminance, artificial neural networks, lighting systems, indoor sports halls
- Sağlık Bilimleri Üniversitesi Adresli: Hayır
Özet
Indoor sports halls are areas, in which sports competitions are frequently held, and factors affecting physical risk, such as lighting, temperature, and sound, must be controlled in order to conduct these competitions efficiently. Of these, lighting is the most important, as it directly affects the vision of athletes, referees, and spectators. Ensuring ideal lighting in indoor sports halls is essential in order to prevent performance losses due to visual impairments in athletes and referees, and to enhance the spectators’ viewing pleasure. The primary conditions for achieving this are maintaining the average luminance at an optimal level and eliminating harmonics in the luminance distribution, thereby ensuring uniformity of luminance on the floor. Hence, the luminance values in the environment should be periodically checked, and necessary maintenance should be performed as required. Measuring luminance values at various points in the environment is essential for critical maintenance work and improvements, but this process is currently labourintensive and time-consuming, making it impossible to mathematically calculate the luminance distribution in an environment following physical wear and tear. Given these challenges, the need for a new method is evident. This study proposes a new prediction method for inspecting the uniformity of luminance in indoor sports halls. Using this method, the average luminance values in indoor sports halls can easily be predicted and non-uniform points in the luminance distribution identified, allowing timely intervention in the system.