基于ZigBee技术的巢湖水质监测系统设计
|
摘要
为了解决巢湖传统水质监测方法实时性差、效率低、成本高等问题,研究设计了一种基于ZigBee技术的巢湖水质监测系统。首先,分析了当前巢湖水质污染的重要因素,确立了pH值、温度、溶解氧作为水质优劣的特征,并给出了监测系统的整体结构。其次,结合各参数的特征,设计了相应的信号调理电路,推导出特征参数的计算公式。最后,根据各种节点的功能设计了以ZigBee协议栈为基础的软件流程,并采用浮标携带节点的方式进行了相关实验测试。实验结果表明,采用无线传感器网络的方式进行水质监测成本低、可靠性高,能满足水质监测的应用需求,同时可大范围进行实时监测。
In order to solve the problems of poor real-time performance, low efficiency and high cost of traditional water quality monitoring methods in Chaohu, a water quality monitoring system is designed based on ZigBee technology. Firstly, the paper analyzes the important factors of current water pollution in Chaohu; the characteristics of water quality, such as pH value, temperature and dissolved oxygen are established, and the overall structure of the monitoring system is given. Secondly, according to the characteristics of the parameters, the corresponding signal conditioning circuit is designed, and the formula for calculating the characteristic parameters is derived.Finally, according to the function of various nodes, the software flow based on the ZigBee protocol stack is designed,and the experiment is carried out by means of the way of carrying the nodes. The experimental results show that the method of wireless sensor network has low cost and high reliability, and can meet the application requirements of water quality monitoring.
In order to solve the problems of poor real-time performance, low efficiency and high cost of traditional water quality monitoring methods in Chaohu, a water quality monitoring system is designed based on ZigBee technology. Firstly, the paper analyzes the important factors of current water pollution in Chaohu; the characteristics of water quality, such as pH value, temperature and dissolved oxygen are established, and the overall structure of the monitoring system is given. Secondly, according to the characteristics of the parameters, the corresponding signal conditioning circuit is designed, and the formula for calculating the characteristic parameters is derived.Finally, according to the function of various nodes, the software flow based on the ZigBee protocol stack is designed,and the experiment is carried out by means of the way of carrying the nodes. The experimental results show that the method of wireless sensor network has low cost and high reliability, and can meet the application requirements of water quality monitoring.
引文
[1]余波，黄成敏，陈林，等.基于熵权的巢湖水生态健康模糊综合评价[J].四川环境，2010,(6):85-91.
[2]李金凤，刘丰喜，杨中华，等.基于无线传感器网络及GPRS的水质监测系统设计[J].计算机测量与控制，2014,(12):3887-3890.
[3]胡云冰，邹赛，徐琴.在线式物联网水质监测系统研发[J].西南师范大学学报(自然科学版)，2014,(6):64-69.
[4]汪苑，林锦国，卓晓冬.基于ZigBee与加权质心的室内定位方案研究[J].机床与液压，2012,(1):61-64.
[5]孔祥涛，林明星，周生良，等.基于ZigBee无线传感器网络的扭矩监测系统的设计[J].机床与液压，2014,(11):121-125.
[6]黄建清，王卫星，姜晟，等.基于无线传感器网络的水产养殖水质监测系统开发与试验[J].农业工程学报，2013,(4):183-190.
[7]赵敏华，李莉，呼娜.基于无线传感器网络的水质监测系统设计[J].计算机工程，2014,(2):92-96.
[8]魏作辉，艾惠明.基于ZigBee无线传感器网络的煤矿监测系统设计[J].工矿自动化，2008,(3):41-43.
[9]高金转，彭旭锋，张会新，等.基于ZigBee无线传感网络的环境监测系统的设计[J].电子器件，2016,(3):546-550.
[10]罗莹.基于无线传感网络的井下人员定位系统设计[J].煤炭技术，2012,(3):137-139.
[11]乔欣，杨汉生，史良马.基于ZigBee井下自组网的人员定位系统研究[J].巢湖学院学报，2017,(3):93-97.
[12] QIAO X,YANG H S,WANG Z C.Iterative L-M algorithm in WSN–utilizing modifying average hopping distances[J]. International Journal of Online Engineering,2017,(10):4-20.
[13]徐栋，王培风，汪建英.基于ZigBee技术的水域污染远程智能监测系统设计[J].计算机测量与控制，2015,(5):1445-1450.
[14] DING E J,QIAO X,CHANG F. Improved weighted centroid localization algorithm based on RSSI differential correction[J]. International Journal on Smart Sensing and Intelligent Systems,2014,(3):1156-1173.
[15] QIAO X,CHANG F,DING E J.Modifying average hopping distances based iterative algorithm for quasi-newton in WSN[J].Chinese Journal of Sensors and Actuators,2014,(6):797-801.
[16]陈军，盛占石，陈照章，等.基于GPRS的水质自动监测系统的设计[J].计算机测量与控制，2009,(7):77-79.
[17]李素平，由容容，蒋治国，等.基于传感器和模糊算法的水质监测系统[J].巢湖学院学报，2017,(3):21-26.
[18]梁焕焕，熊庆宇，石为人.基于无线传感器网络的水质在线监测系统研究[J].传感器与微系统，2011,(5):149-452.
[19]杜治国，肖德琴，周运华，等.基于无线传感器网络的水质监测系统设计[J].计算机工程与设计，2008,(17):4568-4570+4592.
[20]乔欣，史良马，杨汉生，等.基于跳距修正L-M优化的WSN定位算法[J].计算机测量与控制，2017,(2):116-119.
[2]李金凤，刘丰喜，杨中华，等.基于无线传感器网络及GPRS的水质监测系统设计[J].计算机测量与控制，2014,(12):3887-3890.
[3]胡云冰，邹赛，徐琴.在线式物联网水质监测系统研发[J].西南师范大学学报(自然科学版)，2014,(6):64-69.
[4]汪苑，林锦国，卓晓冬.基于ZigBee与加权质心的室内定位方案研究[J].机床与液压，2012,(1):61-64.
[5]孔祥涛，林明星，周生良，等.基于ZigBee无线传感器网络的扭矩监测系统的设计[J].机床与液压，2014,(11):121-125.
[6]黄建清，王卫星，姜晟，等.基于无线传感器网络的水产养殖水质监测系统开发与试验[J].农业工程学报，2013,(4):183-190.
[7]赵敏华，李莉，呼娜.基于无线传感器网络的水质监测系统设计[J].计算机工程，2014,(2):92-96.
[8]魏作辉，艾惠明.基于ZigBee无线传感器网络的煤矿监测系统设计[J].工矿自动化，2008,(3):41-43.
[9]高金转，彭旭锋，张会新，等.基于ZigBee无线传感网络的环境监测系统的设计[J].电子器件，2016,(3):546-550.
[10]罗莹.基于无线传感网络的井下人员定位系统设计[J].煤炭技术，2012,(3):137-139.
[11]乔欣，杨汉生，史良马.基于ZigBee井下自组网的人员定位系统研究[J].巢湖学院学报，2017,(3):93-97.
[12] QIAO X,YANG H S,WANG Z C.Iterative L-M algorithm in WSN–utilizing modifying average hopping distances[J]. International Journal of Online Engineering,2017,(10):4-20.
[13]徐栋，王培风，汪建英.基于ZigBee技术的水域污染远程智能监测系统设计[J].计算机测量与控制，2015,(5):1445-1450.
[14] DING E J,QIAO X,CHANG F. Improved weighted centroid localization algorithm based on RSSI differential correction[J]. International Journal on Smart Sensing and Intelligent Systems,2014,(3):1156-1173.
[15] QIAO X,CHANG F,DING E J.Modifying average hopping distances based iterative algorithm for quasi-newton in WSN[J].Chinese Journal of Sensors and Actuators,2014,(6):797-801.
[16]陈军，盛占石，陈照章，等.基于GPRS的水质自动监测系统的设计[J].计算机测量与控制，2009,(7):77-79.
[17]李素平，由容容，蒋治国，等.基于传感器和模糊算法的水质监测系统[J].巢湖学院学报，2017,(3):21-26.
[18]梁焕焕，熊庆宇，石为人.基于无线传感器网络的水质在线监测系统研究[J].传感器与微系统，2011,(5):149-452.
[19]杜治国，肖德琴，周运华，等.基于无线传感器网络的水质监测系统设计[J].计算机工程与设计，2008,(17):4568-4570+4592.
[20]乔欣，史良马，杨汉生，等.基于跳距修正L-M优化的WSN定位算法[J].计算机测量与控制，2017,(2):116-119.
© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号 地址：北京市海淀区学院路29号 邮编：100083 电话：办公室：(+86 10)66554848；文献借阅、咨询服务、科技查新：66554700 |