摘要
移动通信基站电磁辐射影响因素众多,且各因素影响程度不同,本文选取基站的方向、水平距离、垂直高度3个主要因素进行综合优化研究,旨在分析3个因素对移动通信基站电磁辐射的影响程度,并找出电磁辐射值最小的最优布设方案。对3个因素分别设立4、2、2水平,运用正交试验的原理,确定8次试验,并运用极差分析法对试验结果进行分析。试验结果表明:3个因素中垂直高度影响最显著,其次为基站的方向和水平距离;电磁辐射值最小的最优布设方案为东方位、距离基站的水平距离为30 m、距离地面的垂直高度为3 m的空间位置。因此通过合理的正交试验设计及专用工具的测量可以获得需要的电磁辐射值最小的最优布设方案,并为建设基站时确定辐射主导方向提供依据。
There are many factors affecting electromagnetic radiation of mobile communication base station,and the influence degree of each factor is different.In this paper,the orientation,horizontal distance and vertical height of the base station are selected for comprehensive optimization research.The purpose of this paper is to analyze the influence degree of three factors on electromagnetic radiation of mobile communication base station,and find out the optimal layout scheme with the minimum value of electromagnetic radiation.Set up 4,2 and 2 levels for 3 factors respectively,use the principle of orthogonal test,determine 8 tests,and use the method of difference analysis to analyze the test results.The experimental results show that the influence of vertical height is the most significant among the three factors,followed by the direction and horizontal distance of the base station.And the optimal layout scheme with the minimum electromagnetic radiation value is the eastern bit,the horizontal distance from the base station is 30 m,and the vertical height from the ground is 3 m.Therefore,through the reasonable orthogonal design and the measurement of special tools,the optimal layout scheme with the minimum electromagnetic radiation value can be obtained,and it can provide the basis for determining the radiation leading direction in the construction of the base station.
作者
张琳
吴广芬
何水悠
汤双超
赵苏宁
郑玉露
ZHANG Lin;WU Guang-fen;HE Shui-you;TANG Shuang-chao;ZHAO Su-ning;ZHENG Yu-lu(School of Environmental and Material Engineering,Yantai University,Yantai 264005)
出处
《环境技术》
2021年第1期47-50,共4页
Environmental Technology
关键词
正交试验设计
电磁辐射
移动通信基站
影响因素
极差分析
orthogonal test design
electromagnetic radiation
mobile communication base station
influencing factors
range analysis