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安卓系统通信网络优化与资源呈现软件研究 被引量:2

Research on Communication Network Optimization and Resource Rendering Software Based on Android System
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摘要 随着智能手机的普及和用户对大数据流量需求的增长,运营商基站及光缆线路资源亦在不断增多。为了对这些网络资源进行管理与优化,基于手机安卓操作系统,使用JAVA语言,将运营商基础网络数据库物理基站信息、基站小区信息、光纤光缆资源信息和光交信息等存储于数据库中,通过手机终端对移动蜂窝网实时数据参数及用户当前位置信息进行采集与分析,将这些信息与后端数据库通过相关算法进行关联并实时显示在手机终端,对网络资源优化调整、规划设计、抢修维护、数据查询与分析提供支持,结合后端网络大数据及相关算法使软件工作效益提升60%。虽然手机终端参数各异,但由于进行了兼容性判断,软件数据准确率在95%以上。 With the popularity of smart phones and the growth of users’ demand for big data traffic,the base station and optical cable line resources of operators are also increasing. In order to manage and optimize these huge network resources,based on Android platform,we use Java language to store the network data in the basic network database of operators,such as physical base station information,base station cell information,optical fiber resource information and optical communication information,and the mobile cell is monitored through the mobile phone terminal. The network real-time data parameters and the users’ current location information are collected and analyzed. The collected information is associated with the data in the back-end database through relevant algorithms,and these network resources are displayed on the mobile terminal in real time. Because of the intuitive perception of network data,the software provides a good tool support for the optimization and adjustment,planning and design,repair and maintenance,data query and analysis of network resources of operators. The software combines the back-end network big data and related algorithms,which improves the work efficiency by 60%. Although there are some differences in the parameter data of each mobile phone terminal,the accuracy rate of the software data is more than 95% thanks to the compatibility judgment.
作者 汪发宝 WANG Fa-bao(Lu’an Branch,China United Network Communications Corporation,Lu’an 237200,China)
出处 《软件导刊》 2020年第9期136-139,共4页 Software Guide
关键词 网络优化 网络测试 资源数据采集 数据地图呈现 network optimization network testing resource data collection data map presentation
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