嵌入式无线养殖场监控系统的研究与设计  

Research and design of embedded wireless farm monitoring system

作　　者：李红[1] 王艳[1] 宋晓燕[1] 

机构地区：[1]平顶山学院电气信息工程学院,河南平顶山467000

出　　处：《饲料工业》2015年第9期10-13,共4页Feed Industry

摘　　要：对养殖场环境数据进行无线监测是实现养殖场环境参数调整自动化、智能化的趋势。文章设计的养殖场监控系统以多传感器技术为支撑,底层采用Zigbee无线传感网络采集并发送环境数据,同时利用无线Wi Fi传输底层数据,实现了对养殖场环境信息检测和实时视频传输。为解决养殖场中多传感器监测数据的融合精度低的问题,文章提出了一种改进型的分批估计融合算法,算法首先对单个传感节点一段时间内所采集的数据采用模糊集理论根据容许函数的阈值剔除误差较大的传感器数据,然后对该传感器的数据进行分批估计得出该节点某一段时间内的最优估计值,以此得到该区域所有传感节点最优估计值。文中简述养殖场监控系统设计的总体思路和架构,主要讨论数据传输和融合算法的改进。On farm environmental data wirelessly monitor farms is to achieve environmental parameters to adjust automation, intelligent trend. Farmgreenhouse monitoring system designed in thispaper based on multi- sensor technology, usesthe Zigbee wireless sensor network to collect and send the environmental data, at the same time using the underlying GPRS network data transmission,realizes the transmission of aquaculture environment information detection and real-time video. In order to solve the multi sensors fusion farm greenhouse monitoring data, the problem of low accuracy,this paper puts forward a kind of batch estimate fusion algorithm improved algorithm firstly, single sensor node within a period of time, the collected data by using fuzzy set theory according to the admissible function threshold sensor data to eliminate the error is large, then the sensor data to obtain the optimal batch estimator for a certain period of time the node within the estimated value, in order to get the area of all sensor nodes optimal estimation. The paper outlined the design of temperature monitoring system for greenhouse cultivation field overall train of thought and framework, mainly discusses the improvement of data transmission and fusion algorithm.

关 键 词：S3C6410 CC2430 无线养殖场监控 分批估计数据融合 

分 类 号：S816.34[农业科学—饲料科学]