[1]袁冲,郑涛,董平,等. 高速环境下智慧动态监测系统的设计与实现[J].计算机技术与发展,2016,26(03):5-8.
　YUAN Chong,ZHENG Tao,DONG Ping,et al. Design and Implementation of Intelligent Dynamic Monitoring System in High-speed Environment[J].,2016,26(03):5-8.
点击复制

 高速环境下智慧动态监测系统的设计与实现()
分享到：

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
26
期数:
2016年03期
页码:
5-8
栏目:
智能、算法、系统工程
出版日期:
2016-03-10

文章信息/Info

Title:
 Design and Implementation of Intelligent Dynamic Monitoring System in High-speed Environment
文章编号:
1673-629X（2016)03-0005-04
作者:
 袁冲; 郑涛; 董平; 姚琳元
 北京交通大学 电子信息工程学院
Author(s):
 YUAN Chong; ZHENG Tao; DONG Ping; YAO Lin-yuan
关键词:
 ; 高速; 移动; 智慧; 动态监测
Keywords:
 ; high-speed; mobile; intelligence; dynamic monitoring
分类号:
TN915
文献标志码:
A
摘要:
 高速铁路因其快速、经济、方便和安全等特性，逐渐成为人们出行方式的首选；移动互联网的兴起使乘客随时随地接入互联网的需求更加迫切。然而，高速移动环境下高效接入互联网仍是一个重大难题。针对高铁沿线基站覆盖密度小、小区切换频繁等特点，在利用现有网络资源的基础上，文中提出了应用于高速环境下的智慧动态监测系统。该系统主要分为几个子系统，其中多模链路子系统将底层异构网络资源抽象成相同的组件，便于统一管理；链路监测子系统，通过对网络状态的监测和维护，自动处理网络的水平切换和垂直切换问题，配合其他模块的应用，能够有效提高有限网络资源的利用率。经多次在高铁实际环境下的测试，系统具有较高的可行性、实用性和稳定性。
Abstract:
 Because of its high-speed,economy,convenience and safety,the high-speed railway gradually becomes the first choice for people to travel. With the development of the mobile Internet and smart terminals,the demand for passengers’ access to the Internet is more and more urgent. However,surfing the Internet efficiently on the high-speed railway is still a major problem. Considering small-density of base stations and frequent handover,the intelligent dynamic monitoring system based on the existing network resources is pro-posed,which is designed to apply to the high-speed environment. The system contains several subsystems. The multi-path subsystem is designed to make heterogeneous network homogeneous. Through monitoring and maintaining the network state, automatically handling with the horizontal and vertical handover for network,the limited network resource utilization can be increased. The tested results in the actual high-speed railway prove that the intelligent dynamic monitoring system is feasible,practical and stable.

相似文献/References:

[1]王健,李集林,战勇杰.准循环LDPC码高速译码实现方法[J].计算机技术与发展,2013,(02):28.
　WANG Jian,LI Ji-lin,ZHAN Yong-jie.Implementation for High Speed Decoder of QC-LDPC Code[J].,2013,(03):28.
[2]张志宏,吴庆波,邵立松,等.基于飞腾平台TOE协议栈的设计与实现[J].计算机技术与发展,2014,24(07):1.
　ZHANG Zhi-hong,WU Qing-bo,SHAO Li-song,et al. Design and Implementation of TCP/IP Offload Engine Protocol Stack Based on FT Platform[J].,2014,24(03):1.
[3]梁文快,李毅. 改进的基因表达算法对航班优化排序问题研究[J].计算机技术与发展,2014,24(07):5.
　LIANG Wen-kuai,LI Yi. Research on Optimization of Flight Scheduling Problem Based on Improved Gene Expression Algorithm[J].,2014,24(03):5.
[4]黄静,王枫,谢志新,等. EAST文档管理系统的设计与实现[J].计算机技术与发展,2014,24(07):13.
　HUANG Jing,WANG Feng,XIE Zhi-xin,et al. Design and Implementation of EAST Document Management System[J].,2014,24(03):13.
[5]侯善江[],张代远[][][]. 基于样条权函数神经网络P2P流量识别方法[J].计算机技术与发展,2014,24(07):21.
　HOU Shan-jiang[],ZHANG Dai-yuan[][][]. P2P Traffic Identification Based on Spline Weight Function Neural Network[J].,2014,24(03):21.
[6]李璨,耿国华,李康,等. 一种基于三维模型的文物碎片线图生成方法[J].计算机技术与发展,2014,24(07):25.
　LI Can,GENG Guo-hua,LI Kang,et al. A Method of Obtaining Cultural Debris’ s Line Chart Based on Three-dimensional Model[J].,2014,24(03):25.
[7]翁鹤,皮德常. 混沌RBF神经网络异常检测算法[J].计算机技术与发展,2014,24(07):29.
　WENG He,PI De-chang. Chaotic RBF Neural Network Anomaly Detection Algorithm[J].,2014,24(03):29.
[8]刘茜[],荆晓远[],李文倩[],等. 基于流形学习的正交稀疏保留投影[J].计算机技术与发展,2014,24(07):34.
　LIU Qian[],JING Xiao-yuan[,LI Wen-qian[],et al. Orthogonal Sparsity Preserving Projections Based on Manifold Learning[J].,2014,24(03):34.
[9]尚福华,李想,巩淼. 基于模糊框架-产生式知识表示及推理研究[J].计算机技术与发展,2014,24(07):38.
　SHANG Fu-hua,LI Xiang,GONG Miao. Research on Knowledge Representation and Inference Based on Fuzzy Framework-production[J].,2014,24(03):38.
[10]叶偲,李良福,肖樟树. 一种去除运动目标重影的图像镶嵌方法研究[J].计算机技术与发展,2014,24(07):43.
　YE Si,LI Liang-fu,XIAO Zhang-shu. Research of an Image Mosaic Method for Removing Ghost of Moving Targets[J].,2014,24(03):43.
[11]吕俊盛,田泽,邵刚. 一种0.4-4 GHz大范围高精度占空比调整电路[J].计算机技术与发展,2015,25(06):84.
　Lü Jun-sheng,TIAN Ze,SHAO Gang. A 0 . 4-4 GHz Large Range High Precision Duty-cycle Correction Circuit[J].,2015,25(03):84.

更新日期/Last Update: 2016-05-24