基于物联网和激光传感器的智能监控系统研究
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摘要
针对特定区域的CO监测和设备控制问题,提出了一种基于物联网和激光传感器的智能监控系统实现方法。监控系统采用激光传感器监测CO浓度信息,采用温湿度传感器采集所需的温度和湿度等指标值,利用基于Zigbee协议的无线网络传输传感器节点采集的监测指标值,在服务器中对指标值进行处理并产生相应的指令控制设备的工作状态。实验表明,监控系统的数据传输成功率为98.9%,误码率为1.3%,监测准确率为99%,能够满足实际应用的需要。
Aiming at the problem of CO monitoring and equipment control in specific region,a implementary method of intelligent monitoring system based on Internet of things and laser sensor is proposed.The monitoring system uses laser sensor to collect CO concentration information,and uses temperature and humidity sensor to collect temperature value and humidity value,the monitoring index value which acquired by sensor is transmitted by wireless network based on Zigbee protocol,the server is used to handle the index value and generate the corresponding instruction to control equipment working state.Experimental results show that the success rate of data transmission is 98. 9%,the error rate is1. 3%,and the monitoring accuracy is 99%,which can meet the needs of practical application.
Aiming at the problem of CO monitoring and equipment control in specific region,a implementary method of intelligent monitoring system based on Internet of things and laser sensor is proposed.The monitoring system uses laser sensor to collect CO concentration information,and uses temperature and humidity sensor to collect temperature value and humidity value,the monitoring index value which acquired by sensor is transmitted by wireless network based on Zigbee protocol,the server is used to handle the index value and generate the corresponding instruction to control equipment working state.Experimental results show that the success rate of data transmission is 98. 9%,the error rate is1. 3%,and the monitoring accuracy is 99%,which can meet the needs of practical application.
引文
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[3]李静宇,刘艳滢,田睿,等.视频监控系统中的概率模型单目标跟踪框架[J].光学精密工程,2015,23(7):2093-2099.
[4]Liu Hong,Huang Chaozhi,Xiao Fayuan.Research on Monitor System of Distant Coal Mine Gas Based on Labview[J].20.11 International Conference on Electric and Electronics,2011,3(99):457-461.
[5]何成平,龚益民,林伟.基于无线传感网络的设施农业智能监控系统[J].安徽农业科学,2010,38(8):4370-4372.
[6]刘洲洲,王福豹.基于离散萤火虫压缩感知重构的无线传感器网络多目标定位[J].光学精密工程,2014,22(7):1904-1911.
[7]李晟,姚鑫骅,傅建中,等.热电耦合无线传感能量管理系统及其在精密主轴热监测中的应用[J].光学精密工程,2014,22(9):2389-2398.
[8]王英,张敏明,邓国华.一种小型二极管泵浦固体激光测距仪的发射和接收电路[J].激光杂志,2006,27(3):65-66.
[9]赵玉华,李士宁,杨丽平,等.无线传感器网络汇聚节点USB扩展接口的设计与实现[J].计算机测量与控制,2009,17(10):2068-2070.
[10]钱志鸿,王义君.面向物联网的无线传感器网络综述[J].电子与信息学报,2013,35(1):215-227.
[11]朱仲英.传感网与物联网的进展与趋势[J].微型电脑应用,2010,26(1):1-3.
[12]封松林,叶甜春.物联网/传感网发展之路初探[J].后IP时代与物联网,2010,25(1):50-54.
[13]杨春华.基于Zig Bee的无线网络协调器节点的设计[J].仪器仪表用户,2010,17(6):35-43.
[14]董繁龙,赵方舟,葛廷武,等.应用单一超窄线宽激光器的多气体检测系统设计[J].光学精密工程,2014.22(04):844-849.
[15]李战明,李泉,殷培峰.基于Zig Bee的环境监测无线传感器网络节点设计[J].电子测量技术,2010,33(6):118-122.