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物联网技术的船舶通信过程切换信号监测系统设计
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  • 英文篇名:Design of ship communication process switching signal monitoring system based on internet of things
  • 作者:梁修荣
  • 英文作者:LIANG Xiu-rong;Chongqing City Vocational College;
  • 关键词:物联网技术 ; 船舶通信信号 ; 信号监测 ; 监测系统
  • 英文关键词:internet of things technology;;ship communication signals;;signal monitoring;;monitoring system
  • 中文刊名:JCKX
  • 英文刊名:Ship Science and Technology
  • 机构:重庆城市职业学院;
  • 出版日期:2019-06-23
  • 出版单位:舰船科学技术
  • 年:2019
  • 期:v.41
  • 基金:重庆市教委科学技术研究项目(KJQN201803901);; 重庆市永川区2018年公益类科技计划项目(Ycstc,2018cc0501)
  • 语种:中文;
  • 页:JCKX201912071
  • 页数:3
  • CN:12
  • ISSN:11-1885/U
  • 分类号:212-214
摘要
传统的船舶通信切换信号监测系统很难在短时间内监测到所有的通信切换信号,监测效果差。针对这一问题,基于物联网技术设计了一种新的船舶通信过程切换信号监测系统,系统硬件由监测层、网络层和管理层3部分组成。软件由程序初始化、信号获取、信号判别、数据存储4步组成。为检测监测系统工作效果,与传统监测系统进行实验对比。结果表明,基于物联网技术设计的监测系统可以在短时间内监测到所有的船舶通信信号,监测能力强,应用价值高。
        Traditional ship communication switching signal monitoring system is difficult to monitor all communication switching signals in a short time, and the monitoring effect is poor. To solve this problem, a new monitoring system for switching signals in ship communication process is designed based on Internet of Things technology. The hardware of the system is composed of three parts: monitoring layer, network layer and management layer. The single chip computer selected in the acquisition module is STM32 F103 C8 T6 single chip computer, which connects the converter and the FPGA through six channels. The processor is S3 C2440 A processor produced by Samsung Company. The software consists of four steps:program initialization, signal acquisition, signal discrimination and data storage. In order to detect the working effect of the monitoring system, the experimental comparison with the traditional monitoring system shows that the monitoring system based on the Internet of Things technology can monitor all ship communication signals in a short time, with strong monitoring ability and high application value.
引文
[1]舒松,戴晖.基于物联网技术的船舶危险品运输监控系统设计[J].舰船科学技术,2017,37(5):221-224.
    [2]李瑛.基于物联网技术的船舶异构网络切换信号预测的研究[J].舰船科学技术,2017,24(10):155-157.
    [3]苑晓龙,邱占芝.物联网系泊船舶运动监测系统方案设计[J].大连交通大学学报,2017,34(5):112-116.

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