| 基于模糊推理的软测量对储粮状态的预测 |
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| 引用本文： | 师黎,邵丽红,冯冬青,周永庆. 基于模糊推理的软测量对储粮状态的预测[J]. 河南工业大学学报(自然科学版), 2004, 25(2): 71-74 |
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| 作者姓名： | 师黎 邵丽红 冯冬青 周永庆 |
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| 作者单位： | 郑州大学,电气工程学院,河南,郑州,450002 |
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| 摘 要： | 针对粮情测控系统中的粮食状态难以在线直接测量的问题,研究了工业测量和控制过程中的软测量技术.通过分析水分传感器、温度传感器及湿度传感器所测量的二次变量的结果,利用神经网络和模糊推理技术来实现智能化粮情测控过程中粮食的状态及其变化趋势的估计.
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| 关 键 词： | 软测量 神经网络 模糊控制 传感器 二次变量 主导变量 |
| 文章编号： | 1671-1629(2004)02-0071-04 |
| 修稿时间： | 2004-05-08 |
THE PREDICTION OF GRAIN STATE BY USING THE SOFT MEASURING BASED ON FUZZY INFERENCE SYSTEM |
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| SHI Li,SHAO Li-hong,FENG Dong-qing,ZHOU Yong-qing. THE PREDICTION OF GRAIN STATE BY USING THE SOFT MEASURING BASED ON FUZZY INFERENCE SYSTEM[J]. Journal of Henan University of Technology Natural Science Edition, 2004, 25(2): 71-74 |
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| Authors: | SHI Li SHAO Li-hong FENG Dong-qing ZHOU Yong-qing |
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| Abstract: | In this paper, the soft-measuring technique is applied to the prediction and monitor of grain states in a granary where it is very difficult that the grain states are monitored directly on-line. First the moistures, temperatures and humidity factors of a granary are measured by the sensors as the secondary variable. Then the estimations of the gain states and the tendency of the change are realized by a neural network and a fuzzy inference system with the results of secondary variable. |
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| Keywords: | soft-measuring neural network fuzzy inference system sensor secondary variable primary variable |
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