摘要
森林防火的关键是通过火灾实时监测系统有效预测森林各区域的火灾风险。通过分析无人机在森林防火中的应用,提出了一种基于无人机的森林火灾实时监测中波红外相机系统。该系统的焦距为75 mm,工作波段为3.7~4.8μm,F数为2.0,可匹配像元尺寸为12μm×12μm的1280×1024元制冷型中波红外焦平面阵列探测器。在光学设计中采用3种红外光学材料(硅、硒化锌和锗)的组合,并引入3个偶次非球面。通过优化设计实现了光学被动无热化功能。设计结果表明,在-60~100℃温度范围内,空间频率41.7 lp/mm处各视场的调制传递函数(Modulation Transfer Function, MTF)均大于或接近0.4,成像质量良好。这种中波红外系统的成像质量与分辨率高,视场范围大,具有宽温度范围的自适应性,结构紧凑且易装调,在森林防火领域有着广泛的应用前景。
The key of forest fire prevention is to predict the fire risk effectively through the real-time fire monitoring system. By analyzing the application of UAVs in forest fire prevention, a medium wave infrared camera system for forest fire real-time monitoring based on UAVs is proposed in this paper. The focal length is 75 mm, the wavelength band is 3.7--4.8μ m, F number is 2.0. The system can match a 1280×1024 cooled MWIR focal plane detector with pixel size of 12μm×12 μm. In the optical design, three infrared optical materials(silicon, zinc selenide and germanium) are combined, and three even aspheric surfaces are introduced. The passive athermal optical design is realized as well. The design results show that the modulation transfer function(MTF) of each field of view is greater than or close to 0.4 at the spatial frequency of 41.7 lp/mm in the temperature range of-60~100℃, which has good imaging quality. Since the medium wave infrared system has high imaging quality and resolution, large field of view, adaptability in wide temperature range, compact structure and can be installed easily, it has a wide application prospect in the field of forest fire prevention.
作者
陈潇
王红玉
CHEN Xiao;WANG Hong-yu(Tongda College of Nanjing University of Posts and Telecommunications,Yangzhou 225127,China)
出处
《红外》
CAS
2022年第11期33-40,共8页
Infrared
基金
国家自然科学基金孵化项目(NY218094)
学院级科研项目(XK202XZ20006)
学院STITP项目(ZD2022016)。
关键词
大面阵
光学被动无热化
中波红外
森林防火
large-format
passive optical athermalization
MWIR
forest fire prevention
