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基于无线传感网络的矿井水质在线监测系统开发与试验 被引量:9

Development and Test of Mine Water Quality Online Monitoring System Based on Wireless Sensor Network
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摘要 为解决目前矿井水源类型识别人工采样、劳动强度大,数据分析周期长等问题,构建了基于无线传感网络的矿井水质在线监测系统,该系统由传感器节点、协调器节点和地面监控主机构成。传感器节点采用Atmega128处理器实时采集矿井水温度、pH值和电导率信息,通过无线通信模块CC2530直接发送给协调器节点,协调器节点通过串口将数据上传给地面监控主机。节点软件以IAR为开发环境,采用单片机C语言开发实现数据处理和传输。监测软件以C#程序开发直观的实时数据监控平台。通过现场测试表明,系统运行稳定,可靠性高。 At present,some problems of the identification process of mine water source type,such as artificial sampling,high labor intensity,long period of data analysis,still exist.It is necessary to design a new mine water quality monitoring systems based on wireless sensor networks.The proposed system consists of sensor nodes,sink node and the ground monitoring station.The sensor nodes obtain data of mine water temperature,pH value and conductivity,which uses Atmega128 as the processing core.The communication modules uses CC2530 chip and its periphery circuits to receive and send data to the sink node.The ground monitoring station gets the data from the sink node from RS232 serial port.The system software consists of two parts,the node software and monitoring software.The node software,which is compiled using C Language in IAR Embedded Workbench,can complete data acquisition and processing.The monitoring software,which is compiled using C#,can provide administrators with a visual image of real-time data monitoring platform.The tests show that the system operates stability and high reliability.
作者 杨勇 李晶 YANG Yong;LI Jing(School of Resources and Geosciences,China University of Mining and Technology,Xuzhou Jiangsu 221008,China;Key Laboratory of Underwater Acoustic Signal Processing of Ministry of Education,Nanjing 210096,China;School of Information and Electrical Engineering,College of Industrial Technology,Xuzhou Jiangsu 221140,China)
出处 《电子器件》 CAS 北大核心 2018年第1期219-224,共6页 Chinese Journal of Electron Devices
基金 项目来源:“十二五”国家科技支撑计划项目(2013BAK06B01) 国家自然科学基金项目(61201326,61273266,61375028)
关键词 矿井水质监测 无线传感网络 电导率 PH值 mine water quality monitoring wireless networks conductivity pH value
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