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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。
Based on the theory of response surface model (RSM), the temperature distribution of large grain silos in winter and summer is deeply analyzed and the mathematic model of grain silo temperature inversion is deduced by finite element method. The temperature values collected were introduced into RSM model, and combined with single-factor rotation method, orthogonal experiment and statistical method, a mathematical model of grain silo temperature distribution inversion was predicted by constructing a polynomial with explicit expression. Based on the mathematical model, the design space under the interaction of various factors and the main effects and interaction effects of various factors on grain temperature are given. Experiments show that the mathematical model has the advantages of small error, high precision and good computational performance. The model can solve the problem of less wiring and wide range of prediction space in the large granary temperature monitoring system.