宝光自动观测技术的设计与应用

Design and Application on the Automatic Observation Technology of Glory

宝光是重要的旅游气象资源,但由于自动观测技术匮乏、人工观测困难和漏测等问题,使得宝光观测数据缺乏,资源评价几乎空白。本文根据“太阳光线—人眼或摄像头视线—宝光成像云雾区三点必须呈一线分布”的观测原理,研发了一种基于摄像头的实时自动观测宝光技术,即每10 s将摄像头角度调整为当前时刻的太阳方位角和高度角,使摄像头朝向与不断变化的太阳光线保持平行,并进行拍摄和保存摄像图像,同时采用深度学习技术建立宝光识别模型,对实时拍摄的照片进行宝光自动识别。应用表明,该项技术较好地解决了宝光实时观测难题,观测成果(照片)是宝光旅游资源评估和普查的重要依据,可为宝光旅游资源开发和游客观赏宝光提供技术支撑。

Glory is an important meteorological resource for tourism.Due to the lack of automatic observation technology,the difficulty of artificial observation and the missing measurement,there is a lack of observation data in Glory,and the resource evaluation is almost blank.According to the principle of glory observation of“three points of the sunlight-the line of sight of the human eye or the camera-glory(imaging area of cloud and fog)must be distributed in a line”,a real-time automatic observation glory technology based on camera is developed,that is,every 10 seconds,the camera angle is adjusted to the current solar azimuth angle and height angle,so that the camera orientation is kept parallel with the changing sunlight,and the image is captured and saved.The glory recognition model is established by using the deep learning technology,and the real-time photos are automatically recognized.The application shows that the technique can solve the real-time observation problem of glory,and the observation results(photos)are the important basis for the evaluation and census of glory tourism resource,which can provide technical support for glory tourism resources development and the viewing of glory.