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海量用户高并发情况下的web系统优化 //.paper.edu - 1 - A Light Intensity Monitoring Method Using FBG-based Fiber Optic Sensor# LI LuMing 1 , ZhuQian 2 , ZhangZhiGuo 2 , CaiZhiMin 1 , LiaoZhiJun 3 , HuZhenYan 4** 5 (1. Department of Communication, Jiangxi Electric Power Corporation, Nanchang 330029, China; 2. State Key Lab of Information Photonics and Optical Communications, Beijing University of Posts and Telecommunications, Beijing 100876, China; 3. Jiangxi Electric Power Corporation, Nanchang 330029, China; 4. Jiangxi Railway Investment Group Co., LTD, Nanchang 330000, China) 10 Foundations: JiangXi Electric Power Corporation (No.52183514009Y) Brief author introduction:李路明：（1979-），男,博士,国网江西省电力公司信息通信分公司高工，研究方向 为光纤传感技术在电力输电线路中监测中的应用 Correspondance author: 张治国：（1979-），男,博士,北京邮电大学信息光子学与光通信国家重点实验室副 教授，研究方向为光通信与光传感技术 Abstract: This paper proposes a FBG-based light intensity monitoring method.The experimental results show that the method has good stability and high sensitivity.This paper is for real-time monitoring light intensity, monitoring model with cantilever beam structure and BP neural network algorithm, which is based on fiber grating sensing technology. After the BP neural network correction, the eventually monitoring results are closer to the monitoring results by illumination photometer. The 15 accuracy of the model can meet the project requirements and it can monitor light intensity in real time. Key words: Remote sensing and sensors;Fiber optics sensors;BP neural network 0 Introduction Light intensity measurements are not only widely used in agricultural field but also biological 20 cultivation engineering fields. With the continuous innovation of technology, the accuracy requirement of light intensity monitoring is getting higher and higher. So, research on effective and reliable monitoring method of light intensity is of great significance. However, traditional methods of monitoring lig