[A-AS09] Applied Meteorology

[AAS09-P02] SMART LiDAR: A Next-Generation Scanning LiDAR System for Real-Time Detection of Wildfires and Industrial Fires

*Kwanchul Kim¹, Seong-min Kim¹, Gahye Lee¹, Jeong-Min Park¹, Sea-ho Oh¹, Min-Kyung Sung¹, Youngmin Noh², Kwonho Lee³, Young J. Kim³, Sungchul Choi⁴, Changgi Choi⁴, Woosuk Choi⁵, Chun-Sang Hong⁶, Sangchul Kim⁷ (1.Advanced Institute of Convergence Technology, 2.Pukyong National University, 3.Gangneung–Wonju National University, 4.Samwoo TCS co., Ltd., 5.Sejong University, 6.Korea University, 7.Sungkyunkwan University)

Keywords:Wildfire Detection, Industrial Fire Monitoring, Scanning LiDAR, Air Quality, Aerosol

This study introduces SMART LiDAR, an advanced scanning system for real-time wildfire and industrial fire detection. It addresses limitations of traditional methods caused by atmospheric variability and complex terrain, offering <30 m spatial resolution and adaptability to diverse environments. Using dual wavelengths (532 nm, 1064 nm), it provides 360° scanning with 1° resolution, detecting smoke and particulates in real time. Field validation during a factory fire in Sihwa Industrial Complex, South Korea, tracked a 5 km smoke plume and observed particulate reduction after suppression, demonstrating effective real-time monitoring.

Acknowledgment: 2023-MOIS-20024324