基于物联网的果园实蝇监测系统的设计与实现
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国家柑橘产业技术体系专项(CARS–27);国家自然科学基金项目(31401281);广东省高等院校学科与专业建设专项(2013KJCX 0032);广州市科技计划项目(2013J2200069)


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    摘要:

    为大范围和准确监测果园实蝇的发生,设计了基于物联网的果园实蝇监测系统。该系统由智能捕虫器、监测终端、远程终端及移动终端组成,安装在果园的多个智能捕虫器和监测终端构成星形短程无线通信网,监测终端将收集的实蝇信息通过GSM/GPRS服务发送至远程终端及移动终端。智能捕虫器包括太阳能电池板、支架、捕虫器壳体及安装于壳体内部的光电检测电路、微处理器、短程无线通信模块、锂电池充电电路等功能电路,采用成本较低且稳定性较高的红外光电对管检测进入捕虫器的果园实蝇;监测终端包括微处理器、短程无线通信模块和GSM/GPRS模块。基于μC/OS–II实时操作系统设计了智能捕虫器和监测终端的应用软件。系统验证试验结果表明,智能捕虫器平均工作电流为97 mA,监测终端在GSM/GPRS模块休眠和工作时的电流分别为60 mA和328 mA,2种设备的工作电流消耗均低于各自电池的供电能力,实蝇监测准确率可达94.23%。

    Abstract:

    In order to accurately monitor the happening of orchard fruit fly in large area, an orchard fruit fly monitoring system was designed based on the internet-of-things. The system is composed of intelligent fruit fly trap, monitoring terminal, remote terminal and mobile terminal. Several intelligent traps and monitoring terminals were installed into the orchard, forming a star style short-range wireless communication network. Fly happening information is gathered by the monitoring terminal and sent to either the remote terminal or the mobile terminal through the GSM/GPRS service. The intelligent fruit fly trap comprises a solar panel, bracket, trap enclosure and the functional circuits mounted inside the enclosure. The functional circuit includes the photoelectric detection circuit, the microcontroller, the short-range wireless communication module, and the lithium battery charging circuit. The fruit fly entering into the trap is detected using the low-cost and high-stability infrared photoelectric sensor. The monitoring terminal comprises a microcontroller, a short-range wireless communication module and a GSM/GPRS module. Both of the intelligent fruit fly trap and the monitoring terminals’ software were designed based onμC/OS-II real-time operating system. The results indicated that: the average operation current of the intelligent fruit fly trap is 97 mA, the operation current of the monitoring terminal with or without the GSM/GPRS module working is 60 mA or 328 mA, both of the equipments’ power consumption are lower than their battery power supply ability. The fruit fly monitoring accuracy of the system can reach 94.23%.

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李震,洪添胜,文韬,朱振驰,宋淑然,孙道宗.基于物联网的果园实蝇监测系统的设计与实现[J].湖南农业大学学报:自然科学版,2015,41(1):.

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  • 在线发布日期: 2015-01-28
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