基于web网络优化协议的水质污染程度在线监测系统设计
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(1.嘉应学院 计算机学院,广东 梅州 514015;2.郑州铁路职业技术学院 软件学院,郑州 450052)

作者简介:

郭其标(1982-),男,广东梅县人,硕士,讲师,主要从事数据安全、数据挖掘和计算机网络方向的研究。[FQ)]

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TP311

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广东省高校优秀青年创新人才培养计划基金资助项目(LYM10121)。


Web-based Network Optimization Protocol Extent of Water Pollution Monitoring System Design Online
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(1.School of Computer , Jiaying University, Meizhou 514015,China; ;2.Software College,Zhengzhou Railway Vocational and Technical College , Zhengzhou 450052, China)

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    摘要:

    针对传统人工水质污染程度检测工作效率低、实时监测能力不强的问题,设计并实现了基于web网络优化协议的实时在线水质污染程度自动监测系统,系统利用无线传感器网络节点对区域水源水质进行监测,通过无线分组通信技术与宽带网络对数据进行远程传送,工作人员可实现web实时在线的水质信息查询、管理控制、数据收集、报警提示等操作,基于web的水质监测系统,提升了系统的可扩展性、易用性以及实时性等;系统硬件包括传感器模块、无线通信模块、单片机外围电路、以太网接口模块等;系统软件设计了web网络优化协议、系统监测平台、远程参数设置、驱动程序等内容;应用该系统对西安市护城河的水质进行污染程度监测,部署20个传感器监测节点,1个监测子站节点,1个远程web监测主站,分别监测河水中pH值、总磷浓度TP、化学耗氧量(COD)、氨氮浓度,连续采样两天时间,通过仿真实验表明,该系统实现了100%的通信成功率,网络之间访问速度是传统网络协议的5~8倍,无线传感器网络与远程监测工作稳定可靠,通信速率满足实时监测要求,适用于对城市水源水质污染程度的实时在线监测。

    Abstract:

    Water pollution degree to the traditional artificial detection efficiency is low, the problem of real-time monitoring capability is not strong, was designed and implemented based on web network to optimize the protocol of real-time online water quality pollution level automatic monitoring system, the system USES wireless sensor network node of regional water quality monitoring, via a wireless packet communication technology and broadband network for remote data transmission, the staff can realize real-time online web information query, water quality management and control, data collection and alarm prompt operation, water quality monitoring system based on web, improve the system scalability, ease of use, and real-time performance, etc. The system hardware includes sensor module, wireless communication module, MCU peripheral circuit, Ethernet interface module, etc; System software design of the web network optimization protocol, system monitoring platform, the remote parameter setting, driver, etc. Application of this system for pollution monitoring of water quality of Xi'an moat, 20 monitoring sensor node deployment, a monitoring station node, a remote web monitoring master station, respectively in monitoring the water pH value, the total phosphorus concentration TP, chemical oxygen demand (COD), ammonia nitrogen concentration and sampling time two days in a row, the simulation experiments show that this system has realized a 100% success rate of communication, network access speed is between 5 ~ 8 times of traditional network protocol, wireless sensor network and remote monitoring work stable and reliable, and communication rate meets the demand of real-time monitoring, suitable for urban water quality pollution degree of real-time online monitoring.

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引用本文

郭其标,吕春峰.基于web网络优化协议的水质污染程度在线监测系统设计计算机测量与控制[J].,2014,22(8):2360-2362,2365.

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  • 收稿日期:2013-11-21
  • 最后修改日期:2014-01-29
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  • 在线发布日期: 2014-12-16
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