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基于自适应模糊逻辑的粮仓监控系统研究

Research of Granary Monitoring System Based on Adaptive Fuzzy Logic
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摘要 针对区域环境的温度精确监控要求,利用ZigBee无线传感器网络技术,提出了一种基于自适应模糊逻辑的虚拟传感器温度计算方法;利用该算法根据参考点的相关数据,对传感器采集的温度信息进行计算,得到监控点的虚拟温度信息,增加了温度监控系统的鲁棒性;实验结果表明:相对于标准Mandani和均值模糊逻辑算法,基于自适应模糊逻辑的温度计算方法能够获得更为准确的信息,提高了粮仓温度监控的准确性与可靠性。 Aiming at the precise requirements of regional environmental monitoring, a calculation method of temperature which based on virtual sensor by adaptive fuzzy logic was proposed, which utilizes wireless sensor network technology of ZigBee. This method of calculating temperature information collected by the sensors, increases the monitor system's robustness by adaptive weighting algorithm. The experi- mental results show that temperature calculation method based on adaptive fuzzy logic can obtain more accurate information than standard Mandani fuzzy logic method and average fuzzy logical algorithm, and improve the accuracy and reliability of the temperature monitoring.
出处 《计算机测量与控制》 北大核心 2014年第3期718-719,726,共3页 Computer Measurement &Control
关键词 监控 ZIGBEE 自适应模糊逻辑 虚拟传感器 monitor ZigBee adaptive fuzzy logic virtual sensor
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  • 1Gao T, Greenspan D, Welsh M, et al. Vital signs monitoring and patient tracking over a wireless network [A]. Proceedings of the 27th IEEE EMBS Annual International Conference [C], 2005.
  • 2Lorincz K, Malan D, Fulford -- Jones T R F, et al. Sensor net- works for emergency response: challenges and opportunities [J]. Pervasive Computing for First Response (Special Issue), IEEE Per- vasive Computing, 2004.
  • 3Wener--Allen G, Lorincz K, Ruiz M, et al. Deploying a wireless sensor network on an active volcano [J]. Data-- Driven Applica- tions in Sensor Networks (Special Issue), IEEE Internet Compu- ting, 2006.
  • 4龚靖,张景绘,李新民.虚拟传感器及数据融合的发展[J].机械科学与技术,2002,21(S1):54-57. 被引量:2
  • 5陈希,付兴武,张兴元.基于多传感器数据融合啤酒发酵温度监控系统[J].计算机测量与控制,2008,16(6):799-801. 被引量:3
  • 6黄向华.基于模糊逻辑的航空发动机虚拟传感器[J].南京航空航天大学学报,2005,37(4):447-451. 被引量:2

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