一种自供电多传感器无线环境质量监测系统的设计
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摘要
为了实时精确监测既定区域的环境质量状况,解决传统无线传感网因电池不耐用又不能及时更新而导致网络中断的问题,研究设计了一种自供电多传感器的无线环境质量监测系统。所研究设计的无线传感网节点利用太阳能光伏电池板发电完成自供电,并对最大功率点跟踪控制算法进行了优化改进,解决了因电池不能及时充电而导致的传感器节点工作异常的问题,实现了环境质量状况无人值守实时监测。利用数据融合算法,将多节点传感器采集到的数据进行数据融合,通过实验测试表明,所设计系统的测试数据和当地当天中国环境监测总站发布的环境质量状况数据基本吻合。
In order to accurately and real-time monitor the environmental quality for the specific area,solve the problem of interruption of traditional wireless sensor network because the battery is not durable and can not be updated in time,we designed a wireless environment quality monitoring system with self-powered multi-sensor. In this system,the network node was powered by solar photovoltaic panels,and the maximum power point tracking control algorithm was optimized and improved. It solved the problem of abnormal work of sensor nodes caused by not charging the battery in time,and realized the unattended real time monitoring of the environmental quality. Besides,the data fusion of the multinode sensor was performed by using the data fusion algorithm. The experimental results demonstrated that the test data of our designed systemd agree well with the environmental quality data released by the China Environmental Monitoring Station.
In order to accurately and real-time monitor the environmental quality for the specific area,solve the problem of interruption of traditional wireless sensor network because the battery is not durable and can not be updated in time,we designed a wireless environment quality monitoring system with self-powered multi-sensor. In this system,the network node was powered by solar photovoltaic panels,and the maximum power point tracking control algorithm was optimized and improved. It solved the problem of abnormal work of sensor nodes caused by not charging the battery in time,and realized the unattended real time monitoring of the environmental quality. Besides,the data fusion of the multinode sensor was performed by using the data fusion algorithm. The experimental results demonstrated that the test data of our designed systemd agree well with the environmental quality data released by the China Environmental Monitoring Station.
引文
[1]索云天.基于无线传感器网络的环境质量监测系统的研究[D].兰州:兰州交通大学,2014.
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[11]王欢.物联网架构的太阳能光伏自跟踪发电监控系统关键技术研究[D].北京:北京理工大学,2015.
[12]张军,杨子晨.多传感器数据采集系统中的数据融合研究[J].传感器与微系统,2014(3):52-54,57.
[13]熊常伟,张德然,张怡.Q对称熵损失下几何分布的参数估计[J].贵州师范大学学报(自然科学版),2007,25(3):69-71.
[14]陈燕俐,张乾,许建,等.无线传感器网络多应用场景下的安全数据融合方案[J].计算机科学,2017,44(9):162-167.
[2]蔺莉,张莉华.无线传感器网络中能量高效的自适应分簇算法[J].仪表技术与传感器,2017(3):121-126.
[3]尚兴宏,钱焕延.无线传感器网络的系统节能研究[J].贵州师范大学学报(自然科学版),2012,30(6):83-88,99.
[4]郭文川,程寒杰,李瑞明,等.基于无线传感器网络的温室环境信息监测系统[J].农业机械学报,2010,41(7):181-185.
[5]李亚明,刘陈,刘致尧,等.基于6LoWPAN无线传感技术的环境监测系统[J].仪表技术与传感器,2016(9):50-54.
[6]赵晓艳,熊晓燕,丁丽芳.针对机械振动监测的无线传感器节点电源电路[J].仪表技术与传感器,2013(10):73-75.
[7]魏东,全元,王辰星,等.国家大型煤电基地生态环境监测技术体系研究---以内蒙古锡林郭勒盟煤电基地为例[J].生态学报,2014,(11):2821-2829.
[8]HASSAN Fathabadi.Novel fast dynamic MPPT(maximum power point tracking)technique with the capability of very high accurate power tracking[J].Energy,2016,94:466-475.
[9]李双双,曾野,陆寅.基于ATmega88的光伏发电控制与计量[J].仪表技术与传感器,2014(4):69-70,110.
[10]吴寅.采用环境能量的自供电无线传感器网络关键技术研究[D].南京:南京航空航天大学,2013.
[11]王欢.物联网架构的太阳能光伏自跟踪发电监控系统关键技术研究[D].北京:北京理工大学,2015.
[12]张军,杨子晨.多传感器数据采集系统中的数据融合研究[J].传感器与微系统,2014(3):52-54,57.
[13]熊常伟,张德然,张怡.Q对称熵损失下几何分布的参数估计[J].贵州师范大学学报(自然科学版),2007,25(3):69-71.
[14]陈燕俐,张乾,许建,等.无线传感器网络多应用场景下的安全数据融合方案[J].计算机科学,2017,44(9):162-167.