야외 환경에 노출된 입체 구조물에 대한 열적외선 신호 예측 소프트웨어 개발 및 실험적 검증 연구

다국어 초록 (Multilingual Abstract)

This paper contains experimental validation of surface temperature and IR(infrared) signal prediction performance for a 3D object placed in an outdoor environment as part of a software development process to predict thermal infrared signals based on computational thermal analysis with considering 3D thermal conduction and unsteady state. For experimental validation, CUBI targets, which are introduced as major verification cases abroad, were produced and installed on the experimental site. Also, thermocouple wires, infrared cameras, a solar tracker and a weather station were installed on the experimental site. Performance validation was carried out step by step, and as the first step, the suitability of the algorithm applied to the developed software was determined through comparison and analysis of prediction results for surface temperature. As a second step, the self-emitted radiance calculation result and the solar and sky reflected radiance calculation algorithm were validated through the analysis of the prediction result for infrared signals. In addition, by assigning the same input conditions to the other commercial software with similar concepts and comparing the calculated results together, the limitations of modeling inevitably appear in the comparison between modeling and measurement were considered. As a result of the validation, it is judged that the thermal infrared signal prediction performance of the software developed through this study is applicable to stereoscopic objects placed in an outdoor environment. In the future, it is necessary to prepare to become software with higher reliability through performance validation of 3D objects that have more complex forms or contain heat sources.

참고문헌 (Reference)

1 최준혁, "비균일 대기상태를 고려한 함정의 적외선 신호 특성 분석" 한국전산유체공학회 22 (22): 88-94, 2017

2 김동건, "복셀 기반 광선추적 기법을 이용한 복사형상계수 계산 연구" 한국전산유체공학회 24 (24): 54-59, 2019

3 Sullivan, S. P., "Validation of physically reasonable infrared signature model (PRISM)" 890 : 104-110, 1988

4 Ratches, J.A, "Target acquisition performance modeling of infrared imaging systems: Past, present, and future" 1 : 31-40, 2001

5 Wilcoxen, B., "Synthetic Scene Generation Model(SSGM R6.0)" 2469 : 300-317, 1995

6 Schowengerdt, R.A., "Remote Sensing(models and methods for image processing)" Academic Press 1997

7 Jeong, J. S., "Prediction of the Apparent Temperature of an Object under the Infrared Waveband" 23 (23): 352-363, 1999

8 Lapierre, F.D, "Performance enhancement and validation of the open-source software for modeling of ship infrared signatures (OSMOSIS)" 2342-2349, 2010

9 Sandford, B., "Infrared Reflectance Properties of Aircraft Paint" 1985

10 McAdams, W.H, "Heat Transmission" McGraw-Hill Kogakusha 1954

11 Nicodemus, F., "Geometrical considerations and nomenclature for reflectance" Department of Commerce, Nation Bureau of Standards 1977

12 Malaplate, A., "CUBI - a Test Body for thermal Object Model Validation" 6543 : 2007

13 Le Goff, A., "Automatic temperature computation for realistic IR simulation" 4029 : 187-196, 2000

14 Han, K.I., "Application and Validation of a S/W Developed for IR Signal Simulation by Using the Measured Data from a Moving Test Ship" 9452 : 2015

15 Jeong, J.S, "Adoptation of combined geometry generation and thermal network methods for simulating the thermal image of a three dimensional object" Graduate School of Seoul National University 1998

16 Shor, E.H, "3-D Longwave Infrared Synthetic Scene Simulation" Rochester Institute of Technology, Center for Imaging Science 1990