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基于物联网技术的农业大棚环境监控系统设计 被引量:26

Design of agricultural greenhouse environment monitoring system based on internet of things technology
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摘要 为了提高对农业大棚环境的监测,系统从物联网技术的三层结构概念出发,采用感知互动层、网络传输层、应用服务层进行设计。感知互动层采用Zig Bee无线通信技术构建一个无线传感器网络,负责感知农业大棚中作物生长环境,包括农业大棚中的空气温湿度、光照强度、二氧化碳浓度、土壤温湿度、通风状态等。网络传输层采用以太网通过TCP/IP协议进行传输,应用服务层通过个人计算机上的应用程序来实现对系统信息的管理,并且与计算机上的专家系统连接,对农业大棚中作物生长环境进行自动控制。系统主要涉及传感器网络拓扑结构的选择优化及传感器节点的电路设计、网络传输层的结构设计、应用服务层的应用程序设计及信息在专家系统中的融合算法。传感器节点采集数据通过Bayes滤波算法进行处理提高数据的可靠性。传感器节点选用无线收发器CC2430芯片设计。实验表明,系统实现了对农业大棚作物生长环境的实时监测,但系统中采用Bayes滤波算法还需进一步改进,系统的稳定性也有待更一步提高。 In order to improve the agricuhural greenhouse environment monitoring system, from the con- cept of three-tier structure of networking technology, adopt interactive perception layer, network transport layer,and application service layer to design. Perception interactive layer builds Wireless Sensor Net- works that is used to perceive the crop growth environment air temperature and humidity, light, carbon dioxide, soil temperature, humidity, ventilation, pest in agricultural greenhouse by ZigBee wireless com- munication technology. Network transmission layer finish transmission of information by Ethernet technol- ogy based on TCP/IP; Application service layer could achieve the information management of the system by personal computer application program, and can be connected to a computer expert system to control the agricultural greenhouse crop growth environment automatically. The system mainly involves the sen- sor network topology optimization, design of sensor circuit, network transmission layer structure and application service collected by the ity of data. The layer application program, as well as information fusion algorithm in expert system. Data sensor node could be processed through Bayes filtering algorithm to improve the reliabil- sensor nodes are designed using wireless transceiver chip CC2430. Experiments show that the system realizes the agricuhural greenhouse crop growth environment, real-time monitoring, but Bayes filter algorithm used in the system needs to be further improved, and stability of the system needs to be enhanced.
出处 《西安科技大学学报》 CAS 北大核心 2015年第6期805-811,共7页 Journal of Xi’an University of Science and Technology
基金 陕西高等教育教学改革研究项目(15BY131) 陕西省大学生创新项目(SJ201501) 陕西省教育厅专项科研计划(15JK2003 15JK2004)
关键词 物联网技术 无线通信 ZIGBEE 实时检测 温湿度传感器 Bayes滤波算法 IOT technology wireless communication ZigBee rea-time detection temperature and hu- midity transducter Bayes filtering algorithm
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