白激光补光融合无线能量传输系统设计  

Design of White Laser Wireless Power Transmission System

作　　者：栾新源 白晨 胡梦婷 姚远 Luan Xinyuan;Bai Chen;Hu Mengting;Yao Yuan(The School of Electronic and Electrical Engineering,Shanghai University of Engineering Technology,Shanghai201620,China)

机构地区：[1]上海工程技术大学电子电气工程学院,上海201620

出　　处：《应用激光》2023年第8期176-182,共7页Applied Laser

基　　金：国家重点研发计划资助(2019YFB1802700);热轧精轧机架间带钢头部浪形检测技术(21R094TAAD)。

摘　　要：针对现有单波长激光无线能量传输系统存在光伏转换效率低、光斑过于集中出现局部过热、跟踪瞄准系统复杂等问题,提出用白激光作为能量传输源,用监控摄像头作为视觉识别源,构建基于深度学习算法的移动目标自动跟踪能量传输系统。创新设计一种马甲式荧光陶瓷散热结构,实现约60 W白激光灯具在70℃高温环境下稳定工作,中心光强超600万cd。发光半角1.8°,光斑覆盖在目标上更加均匀。提出基于YOLOv5的识别及目标姿态获取算法,训练后模型均值精度(交并比阈值0.5)99.78%。在8 m的范围内,60 W白激光能让太阳能电池环稳定驱动LED灯。户外测试表明,该系统在有路灯干扰的条件下,实现了对无人机挂载的太阳能电池环自动识别跟踪照射,对环境具有一定的鲁棒性。The conventional single-wavelength laser wireless power transmission(LWPT)system has some problems,such as low photovoltaic conversion efficiency,excessive concentration of light spots,and complex tracking-aiming system.In this research,a novel LWPT system based on deep learning algorithm is proposed.The white laser is used as the energy transmission source and the security camera is used as the visual recognition source.A new fluorescent ceramic heat sink structure is proposed.This let 60 W white laser lamps work steadily at 70 C ambient temperature.The light intensity is more than 6000000 cd,the luminous half angle is 1.8°,and the light spot covers the target more evenly.An algorithm based on YOLOv5 for recognition and target posture acquisition is presented.After training,the mean average precision(Intersection over Union 0.5)of the model is 99.78%.Within the 8m range,the 60 W white laser lamps illuminate solar cells to power up the LED lamps.Outdoor test shows that the novel LWPT system can automatically recognize,track,and illuminate solar cells which are carried by the UAV(unmanned aerial vehicle).The system is more robust to avoid street lamp interference.

关 键 词：白激光 激光无线能量传输 视频目标跟踪 YOLOv5 

分 类 号：TN202[电子电信—物理电子学]