基于分布式无线网络的水质监控系统设计  

Design of water quality monitoring system based on distributed wireless network

作　　者：刘熙明[1] 王义[2] 聂思敏[3] 

机构地区：[1]贵州大学大数据与信息工程学院,贵州贵阳550025 [2]贵州师范大学物理与电子科学学院,贵州贵阳550025 [3]贵州民族大学机械电子工程学院,贵州贵阳550025

出　　处：《渔业现代化》2017年第4期50-56,共7页Fishery Modernization

基　　金：国家自然科学基金项目(61462015);贵州省科技厅国际科技合作计划项目(黔科合外G字[2014]7007号)

摘　　要：为提高对水产养殖水质监控的实时性和测量精度,设计了一种基于无线传感器网络的水产养殖水质参数监控系统。该系统由水质参数采集终端、分布式传感器网络、传输控制中心基站、远程在线监控系统组成。参数采集终端采集水质参数并传输到中心基站,再通过GPRS发送给远程在线监控中心,根据用户向监控中心输入的参数实现水温、pH、溶氧(DO)的调节。参数测量过程中引入数字滤波算法提高测量精度,使用经过改进粒子群优化算法(PSO)整定的PID控制器实现水质参数的调节。结果显示:测量精度达到要求,温度、pH和DO的测量误差分别为2.1%、1.3%和3.6%,系统对温度、pH和溶氧调节的最大误差分别为1.9%、2.6%和3.1%。整个系统工作稳定可靠。In order to improve the timeliness and measurement precision of water quality monitoring in aquaculture,a water quality parameter monitoring system based on wireless sensor network is designed. The system is made up of water quality parameter acquisition terminal,distributed sensor network,transmission control center base station and remote online monitoring system. The parameter acquisition terminal acquires water quality parameters and transmits them to the center base station,and then sends them to the remote online monitoring center via GPRA to realize adjustment of water temperature,pH and dissolved oxygen（ DO）according to the parameters input by the user to the monitoring center. The digital filtering algorithm is introduced during parameter measurement to improve measurement precision,and PID controller set by improved particle swarm optimization（ PSO） is used to adjust the water quality parameters. The results show that the measurement precision is up to standard,the measurement error of temperature,pH and DO is 2.1%,1.3% and 3. 6% respectively,and the maximum error of the system to temperature,pH and DO is 1. 9%,2.6% and 3.1% respectively. The system operation is stable and reliable.

关 键 词：水质监测 分布式无线网络 数字滤波算法 改进粒子群优化算法 PID控制 

分 类 号：S968.315[农业科学—水产养殖]