大型粮仓温度分布反演数学模型的研究

采用有限元数值模拟方法,以响应面模型RSM(Response surface model)理论为基础对大型粮仓冬、夏两季的温度分布进行了深入分析,推导了粮仓温度反演数学模型。将采集的温度值导入RSM模型中,并结合单因素轮换法、正交实验和统计方法,通过构造一个具有明确表达形式的多项式来预测粮仓温度分布反演数学模型。在数学模型的基础上给出各因子交互作用下的设计空间、各因素对粮温影响的主效应及交互效应。实验证明该数学模型误差小,精度高,具有良好的计算性能,在大型粮仓温度监控系统中采用该模型能够解决布线少、预测空间范围广的问题。

The application of fiber Bragg grating tempetature testing system in the barn

On the basis of the response surface model theory,the finite element numerical simulation method is used to analyze the temperature distribution of the barn in winter and summer,respectively.A temperature inversion mathematical model of large barn is obtained.According to the single factor rotation method,orthogonal experiments and statistical methods,the collected multi-points temperature are put into response surface model to construct a polynomial.This polynomial is used to predict the inverse mathematical model of temperature distribution in the granary.The design space,the main effect and interactive effect which are affected by the interaction of each factor are given.Experimental results show that the model has high precision,small error rate and good computing performance.In large barn,it can solve the problem of less wiring and temperature forecasting in wide space by using this model.