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作 者:郭新明 郭英奎 陈伟 GUO Xinming;GUO Yingkui;ChenWei(School of Computer,Xianyang Normal University,Xianyang 712000,Shaanxi,China)
机构地区:[1]咸阳师范学院计算机学院,陕西咸阳712000
出 处:《咸阳师范学院学报》2020年第2期32-34,79,共4页Journal of Xianyang Normal University
基 金:国家自然科学基金面上项目(61973249);陕西省科技厅科研基金项目(2013JM8037,2020NY-175);陕西省教育厅科研计划项目(16JK1826);咸阳发展研究院科研项目(16XFY005);咸阳师范学院科研基金项目(14XSYK037,15XSYK046);陕西省大学生创新创业训练计划项目(201828028)。
摘 要:针对山地霜冻灾害的预测问题,提出了基于Voronoi图的无线传感网山地霜冻灾害预测算法。首先,通过在山体上部署若干无线传感器节点,形成山体的Voronoi网络覆盖;其次,根据无线网络采集的环境数据计算山体各部的成霜概率,并根据成霜概率的大小划分Voronoi区域的成霜等级;最后,对达到预警阈值的Voronoi区域向农户发出灾害预警,以便及时进行人工干预,从而降低霜冻灾害对农业生产的影响。For the problem of mountain frost disaster prediction, a wireless sensor network algorithm based on Voronoi diagram is proposed. First, by deploying several wireless sensor nodes on the mountain, the Voronoi network coverage of the mountain is formed. Secondly, the frost-forming probability of each part of the mountain was calculated according to the environmental data collected by the wireless network, and the frost-forming grade of Voronoi region was determined according to the frost-forming probability. Finally, the Voronoi region that has reached the frost warning threshold is sent to farmers for timely manual intervention to reduce the impact of frost disaster on agricultural production.
分 类 号:TP75[自动化与计算机技术—检测技术与自动化装置]
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