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作 者:谢文昊[1,2]
机构地区:[1]西安石油大学,陕西西安710065 [2]西北工业大学,陕西西安710072
出 处:《现代电子技术》2018年第6期150-153,157,共5页Modern Electronics Technique
基 金:陕西省教育厅专项研究基金(15JK1587);西安石油大学青年创新基金(YS28032111)~~
摘 要:光照对植物冠层生长、繁殖的影响是巨大的,但在仿真植物冠层光照分布的过程中由于需要处理的数据量很大,如果利用单处理器计算机计算,会导致计算耗时过长,甚至无法得到高精度的仿真结果。为了提高计算速度,将用于计算植物冠层光分布的深度缓存排序算法进行并行化处理,移植到大型多处理器计算机上进行计算,并通过在普通计算机上开发客户端对仿真计算进行控制。设计实现一套基于客户机-服务器模式的仿真系统。应用该系统对不同生长时期的水稻进行光照仿真,得到了效果图。从而得出结论该系统在分析植物生长趋势模拟全天冠层光照变化方面有着很大的应用前景。Illumination has a great influence on the growth and propagation of plant canopy. As a large amount of data needs to be processed during the simulation process of plant canopy illumination distribution,the time consumption of calculation can be very long,and the high-precision simulation results cannot even be obtained if the single processor computer is used for calculation. To improve the calculation speed,the parallel processing is performed for the Z-buffer sorting algorithm which is used for calculation of plant canopy illumination distribution and then transplanted to the large multiprocessor computer for calculation. The simulation calculation is controlled by developing the client on the ordinary computer. A simulation system based on client-server mode was designed and implemented. The system was applied to illumination simulation for paddies in different grown periods and the effect diagram was obtained. It can be concluded that the system has a great application prospect in plant growth tendency analysis and full-day canopy illumination variation simulation.
关 键 词:植物冠层 光照分布 并行仿真 客户机-服务器模式 MPI并行模式 深度缓存排序算法
分 类 号:TN212-34[电子电信—物理电子学] TP181[自动化与计算机技术—控制理论与控制工程]
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