摘要
利用广义回归神经网络原理建立了GRNN数值模型,并对无线传感器进行网络布控,利用PC单片机设计了声控自动化测量电路,实现了花生大棚温度测量的自动化控制。本文采用GAMBIT数值建模软件建立了花生大棚的仿真实验模型,并利用FLUENT软件对花生温室大棚的温度调节过程进行数值仿真模拟,得到了花生大棚温室内的温度分布云图和温度变化曲线,将数值仿真模拟结果和无线传感器测量结果进行对比发现,数值仿真和实验结果基本吻合,从而保证了无线传感器测量的准确性,为花生农业生产现代化研究提供了技术支持。
By using neural network principle of generalized regression, the numerical model of GRNN was established and a network monitoring system was built based on wireless sensor. Through designing an automatic measurement circuit of sound control by PC MCU, the automatic temperature measurement control of peanut greenhouse was realized. Firstly, simulation model of peanut greenhouse was established by using the numerical modeling software GAMBIT. Then, the temperature distribution and temperature change curve were obtained by using FLUENT software to simulate temperature control process in peanut greenhouse. Comparing the results of numerical simulation with test results by wireless sensor, it was found that both results were so similar as to ensure the accuracy of wireless sensor measurement, which provide technical support for the research on the modernization of peanut agricultural production.
出处
《中国农机化学报》
北大核心
2014年第5期87-89,111,共4页
Journal of Chinese Agricultural Mechanization
基金
国家自然科学基金青年基金(51305152)--基于SPC反馈质量特性的农机装备可靠性稳健设计的研究