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作 者:廖建军 李淼[1] 李华龙[1,2] 刘先旺[3] LIAO Jian-jun;LI Miao;LI Hua-long;LIU Xian-wang(Hefei Institutes of Physical Science,Chinese Academy of Sciences,Hefei 230031,China;University of Science and Technology of China,Hefei 230026,China;Anhui Agricultural University,Hefei 230036,China)
机构地区:[1]中国科学院合肥物质科学研究院,安徽合肥230031 [2]中国科学技术大学,安徽合肥230026 [3]安徽农业大学,安徽合肥230036
出 处:《仪表技术》2018年第9期1-5,50,共6页Instrumentation Technology
基 金:国家自然科学基金资助项目(30870445)
摘 要:利用物联网技术可在不干扰蜜蜂活动情况下实现对蜂群状态有效监测。构建了一种基于WSN(wireless sensor network)技术的蜂群监测系统,可以监测蜂群巢内温湿度、声音,以及进、出巢门的蜜蜂数量。另外,监测系统采用了本地存储和利用无线传输方式实现数据云存储,并利用数据库技术实现数据的有效管理。测试结果表明,该监控系统的数据采集、传输、存储性能可靠,可用于蜂场实地监测,也为后续基于云平台的蜜蜂行为模式识别研究提供技术支撑。It is feasible to use the Internet of Things(IOT) for effectively monitoring the state of a honeybee colony without disturbing the activities of its worker bees. In the study,I develop a hive monitoring system using WSN(wireless sensor network) to monitor the temperature,humidity and sound within a hive and record the number of in-and outworker bees through the hive entrance. The data collected by the monitoring system can be stored with a local SD card and also be transmitted wirelessly for cloud storage. The database technology is used to realize the effective data management. The performance test of the monitoring system shows that the developed system is reliable with the respects of data collection,transmission and storage. It can be explored for monitoring honeybee colonies in apicultural practice,and also provide a technical support for the study on the honeybee colony behavior based on a cloud platform.
关 键 词:蜂群声音 数据库 嵌入式系统 蜂群监测 无线传感网络
分 类 号:TP393[自动化与计算机技术—计算机应用技术]
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