基于物联网的规模化畜禽养殖环境监控系统  

The Environmental Control System Based on IoT for Scale Livestock and Poultry Breeding

作　　者：张伟[1] 何勇[2] 刘飞[2] 阮艳凤 

机构地区：[1]嘉兴学院机电工程学院,浙江嘉兴314001 [2]浙江大学生物系统工程与食品科学学院,杭州310029 [3]嘉兴市宏联电子科技有限公司,浙江嘉兴314001

出　　处：《农机化研究》2015年第2期245-248,共4页Journal of Agricultural Mechanization Research

基　　金：国家高技术研究发展计划(863计划)项目(2011AA100705);国家自然科学基金项目(31201137;31071332);浙江省重大科技专项(2012C02SA400001);嘉兴市科技计划项目(2013BZ26009)

摘　　要：规模化畜禽养殖已经成为畜禽养殖的趋势,其对环境的要求比较严格。为此,基于物联网技术对规模化畜禽养殖环境监控系统进行了设计。该系统采用簇型无线传感器网络结构,进行了智能管理模型设计。系统以MSP430单片机为现场控制中心,采用RFID技术,组建猪只智能群养管理系统;依据分布在养殖环境的传感器获得的环境参数,精确调整猪舍环境;采用B/S(浏览器/服务器)模式,通过远程控制系统,实现远程实时监控。试验结果表明:该系统性能稳定,对信息的无线采集、环境自动调控及远程可视化调控均达到实际需求,适合畜禽养殖智能化精准管理,可应用于规模化、智能化畜禽养殖业。Large-scale livestock and poultry breeding has become the trend of the raising livestock and poultry, it has strictly demand of environment. In this thesis, an environment monitoring system is designed for Large-scale livestock and poultry breeding based on Internet of things technology. In order to adjust the scale livestock and poultry breeding environment in precise, wireless network was constructed. The system adopts the cluster type structure design of wireless sensor network （WSN） , and to design the intelligent management model. MSP430 microcontroller was used as the control center, and adopted RFID technology. This system can adjust piggery environment accurately according to the sensor which can gain the breeding environment parameters. B/S （Browser/Server） structure was used in the system, realized the real-time monitoring pigpen through the remote control system. The results show that the performance of system was quite stable and the system satisfies the design requirement in real-time data acquisition wirelessly, environment auto- matic control and visualization regulation remotely. The monitoring system has satisfied result for livestock and poultry breeding intelligent precise management, was suitable for scale and intelligent livestock and poultry breeding.

关 键 词：畜禽养殖 物联网 智能管理模型 簇型无线传感器网络结构 

分 类 号：TP274.4[自动化与计算机技术—检测技术与自动化装置] S817.3[自动化与计算机技术—控制科学与工程]