5G基站电磁辐射污染分析与预测
Pollution Analysis and Prediction of Electromagnetic Radiation of 5G Base Station
张鹏达 1勾岩1
作者信息
- 1. 黑龙江省原子能研究院,哈尔滨 150086
- 折叠
摘要
分析了5G基站的结构特点和技术特点,找出产生电磁辐射的主要源头,由20个通信基站监测数据分析得出基站的水平距离与天线高度是影响环境的主要因素.引入BP神经网络预测模型,将环境污染的主要因素作为输入源,预测基站电磁辐射可能的污染状态和数值,将预测数据与理论模型数据进行对比验证.结果表明,预测模型具有较好的泛化预测效果,能够较好地满足电磁辐射环境质量预测的要求.
Abstract
The study analyzes the structural and technical characteristics of 5G base stations,and finds out the main source of electromagnetic radiation.The analysis of the monitoring data of 20 communication base stations shows that the horizontal distance and antenna height of base stations are the main influencing factors of the environment.Through introducing a BP neural network prediction model,and taking these main influencing factors of environmental pollution as input sources,the possible pollution status and value of the base station electromagnetic radiation are predicted,and the predicted data is compared with the theoretical model data.The results show that the prediction model has good generalization prediction effects,and can adequately meet the requirements for predicting the quality of electromagnetic radiation environment.
关键词
5G基站/电磁辐射/监测/预测Key words
5G base station/Electromagnetic radiation/Monitoring/Prediction引用本文复制引用
出版年
2024
NETL
NSTL
万方数据