现代雷达2026，Vol.48Issue(6)：84-90,7.DOI:10.16592/j.cnki.1004-7859.20241122001
基于低线束激光雷达的智能电力规划通信网采集数据流量调度
Data Collection Traffic Scheduling of Intelligent Power Planning Communication Network Based on Low-channel LiDAR
袁天梦 1沈朝辉 1王涛 1刘大鹏 1彭石 2李远舸 3侯四维3
作者信息
- 1. 国网唐山供电公司,河北 唐山 063000
- 2. 上海交通大学 电子信息与电气工程学院,上海 200240
- 3. 上海博英信息科技有限公司,上海 200240
- 折叠
摘要
Abstract
In order to accurately monitor the nodes of the intelligent power communication network,more precisely grasp the oper-ation state of the power grid,and realize efficient and accurate scheduling of data traffic when the data traffic increases sharply,a collection data traffic scheduling method for the intelligent power communication network is proposed in this paper based on low-channel LiDAR.First,the nodes of intelligent power communication network are scanned by low-channel LiDAR technology,ex-tracting their point cloud characteristics,and the structure of intelligent power communication network is constructed based on the obtained information.Then,according to the network structure the packet loss rate and data transmission delay are analyzed,and it is concluded that the key factors in data traffic scheduling are the number of hops and queue traffic load.Finally,a data traffic scheduling scheme is formulated to dynamically solve the optimal directed edge weights considering the number of hops and traffic load rate,so as to realize dynamic data traffic scheduling.Experiments show that the proposed method can accurately monitor the key nodes of the smart power communication network.Through scheduling simulation,gateway 4 undertakes more data transmission tasks at 10 s～25 s,which verifies the efficiency and accuracy of the proposed method.The proposed method can effectively reduce the congestion risk and ensure the stable operation and efficient data transmission of the smart power communication network.关键词
低线束激光雷达/智能电力通信网/采集数据流量调度/跳数/队列流量负载Key words
low-channel LiDAR/intelligent power communication network/data collection traffic scheduling/number of hops/queue traffic load分类
信息技术与安全科学引用本文复制引用
袁天梦,沈朝辉,王涛,刘大鹏,彭石,李远舸,侯四维..基于低线束激光雷达的智能电力规划通信网采集数据流量调度[J].现代雷达,2026,48(6):84-90,7.
