摘要
为适应不同天气环境下的助航灯光亮度需求,实现亮度的自适应调控,提出基于并行深度森林的助航灯光亮度自适应调控方法。该方法通过BH1750光强度数据采集模块采集助航灯光环境亮度数据,将其输入至并行深度森林模型,依据多粒度扫描获取环境亮度多粒度数据,通过并行级联森林逐层处理,检测助航灯光环境亮度值;将检测结果作为离散式PID控制器的输入值,依据调控值与理想调控值之间的误差,实时调整离散式PID控制器比例、积分、微分系数值,修正助航灯光亮度自适应调控误差,依据该误差实现助航灯光亮度自适应调控。依据实验验证得出,该方法能够完成不同天气条件下助航灯光环境亮度值检测,并且误差较小,PID控制器参数能够在不同环境亮度值中实现参数动态调整,实现高效率调控误差修正,在能见度较低环境下,自适应调整灯光亮度。
In order to meet the brightness requirements of navigation lights in different weather environments and achieve adaptive brightness control,a parallel deep forest-based adaptive brightness control method for navigation lights is proposed.This method collects the ambient brightness data of navigation lights through the BH1750 light intensity data acquisition module,inputs it into the parallel deep forest model,obtains multi granularity data of ambient brightness based on multi granularity scanning,and detects the ambient brightness value of navigation lights through parallel cascading forest layer by layer parallel processing;The detection results are used as input values for the discrete PID controller.Based on the error between the control value and the ideal control value,the proportional,integral,and differential coefficient values of the discrete PID controller are adjusted in real time to correct the zero degree adaptive control error of the navigation lights.Based on this error,the adaptive control of the brightness of the navigation lights is achieved.According to experimental verification,this method can detect the brightness values of navigation lighting environments under different weather conditions with small errors.The PID controller parameters can be dynamically adjusted in different brightness environment values,achieving efficient control error correction and adaptive adjustment of lighting brightness in low visibility environments.
作者
饶旗
刘润富
李栩键
何常日
田亚涛
翟键文
RAO Qi;LIU Runfu;LI Xujian;HE Changri;TIAN Yatao;ZHAI Jianwen(Engineering Construction Headquarters of Guangdong Airport Authority Co.,Ltd.,Guangzhou 510000,China;Guangzhou Baiyun International Airport Construction and Development Co.,Ltd.,Guangzhou 510000,China)
出处
《电子设计工程》
2025年第20期31-36,42,共7页
Electronic Design Engineering
基金
广东省科技项目(2020B0101130024)。
关键词
并行深度森林
助航灯光
亮度自适应调控
光强度数据采集
多粒度数据
离散式PID
parallel deep forest
navigational light
adaptive brightness control
light intensity data acquisition
multi-granularity data
discrete PID
