摘要
设计了一种基于NB-IoT技术的智慧灯杆控制系统。该系统采用NB-IoT技术,通过接入ONENET平台,能够对路灯进行实时在线智能监控,实现信息采集、灯杆互联及时通信等功能。同时,利用BP神经网络独特的自主学习特性,提出一种BP算法融入数据处理的方法,使得路灯控制系统能够更加智能化调光,达到节省电能的目的。
This paper designs and implements an NB-IoT-based control system for smart lamp pole.By adopting NB-IoT technology and plugging into ONENET platform,the system can carry out real-time online intelligent monitoring of lamps,realizing functions such as information collection,lamp pole interconnection,real-time communication,etc.Moreover,in consideration of the special characteristics in autonomous learning of BP neural network,a method which integrates BP algorithm into data processing is proposed and applied to the system,thereby enhancing the system′s intelligence in dimming and achieving more economic power consumption.
作者
何俊岩
迟艺璇
孔令鑫
王秀楠
王野
HE Junyan;CHI Yixuan;KONG Lingxin;WANG Xiunan;WANG Ye(Innovative Practice Space of Lishui University,Lishui 323000,China;College of Electric Power Engineering,Shanghai University of Electric Power,Shanghai 201306,China;CRCC Harbour&Channel Engineering Bureau Group General Contracting Company,Zhuhai 519000,China)
出处
《电工技术》
2023年第20期19-20,29,共3页
Electric Engineering
基金
浙江省新苗人才计划项目“基于NB-IoT的智慧灯杆系统研究”(编号2022R434A010)和“基于深度强化学习的MEC系统缓存机制研究”(编号2022R434A009)
国家级大学生创新创业训练计划项目(编号202210352014
202210352039)。
