| Title |
Analysis of Spectral Data Variability Due to Light Source and Intensity for Sewer Depth Monitoring |
| Authors |
옥광민(Ok, Gwangmin) ; 이호수(Lee, Hosoo) ; 권영화(Gwon, Yeonghwa) ; 김동수(Kim, Dongsu) ; 김영도(Kim, Young Do) |
| DOI |
https://doi.org/10.12652/Ksce.2024.44.6.0781 |
| Keywords |
분광 정보; 하수관; 수심; OBRA; 광원; 광도 Spectral data; Sewer pipe; Water depth; OBRA; Light source; Light intensity |
| Abstract |
This study aimed to determine the optimal light source and intensity for monitoring sewer water depth using spectral data. While water depth monitoring methods utilizing spectral data have been continuously researched and applied, most studies have focused on natural light conditions. There is a lack of research in environments such as sewers where specific light sources are absent. The estimation of water depth using spectral data can vary significantly depending on the installed artificial light source, its angle, and intensity. In this study, indoor flume experiments were conducted to select the optimal light source and intensity for accurate water depth estimation. Halogen and LED light sources were used, and spectral data were collected under darkroom conditions using a multispectral camera with various light intensities and sediment heights. The collected multispectral images were processed to calculate water depth using the Optimal Band Ratio Analysis (OBRA) method. The accuracy of water depth estimation was compared across experimental cases to identify the optimal light source and intensity. The experimental results using the LED light source showed that the R2 values ranged widely from a minimum of 0.181 to a maximum of 0.799. Notably, only two cases exhibited an R2 value above 0.7, indicating that the majority of cases demonstrated low accuracy, suggesting that LED light sources provide limited precision in depth estimation. In contrast, the experiments with halogen light sources yielded R2 values ranging from a minimum of 0.800 to a maximum of 0.984, with particularly high accuracy observed in cases with illuminance levels between 600 and 800 lux. This study proposes optimal light sources and illumination levels for depth monitoring using spectral information and is expected to make significant contributions to improving the accuracy of depth monitoring in sewer systems. This translation incorporates more formal and technical language commonly used in academic papers while maintaining clarity and precision. |