基于温湿度场耦合的粮堆离散测点温度场重现分析

以钢板浅圆仓为研究对象,以小麦粮堆为目标粮堆,利用温度传感器阵列监测粮堆不同季节、不同位点的温度,运用粮温拟合算法和Matlab模拟软件,重现了不同季节、不同方位的浅圆仓小麦粮堆温度场变化规律,并基于温度湿度场耦合原理对云图进行了分析。结果表明:夏季,粮堆中存在大体积的"冷芯"可以使粮堆安全度夏;秋冬季,粮堆中有"热-冷"多层次区域变化,易导致第2年春季在粮堆表层发生结露霉变;而在冬季进行机械通风作业可有效消除粮堆在春季易结露的安全隐患。本研究为运用场论分析法预判储粮安全提供了有利依据。

Analysis of Temperature Field Reappearance in Discrete Spots of Stored Grain Based onCoupling of Temperature and Humidity Fields

The squart silo and stored wheat were researched in the paper. Through the temperature data of different seasons obtained in discrete points, the temperature field model of the grain was conducted by the method of fitting algorithm and Matlab software. It could reappear the distribution of temperature field. The grain temperature field cloud maps were analyzed based on the coupling principle of temperature and humidity fields. The results demonstrated that in summer the stored grain was safe when the large cold areas exist in the center of wheat. In autumn and winter, multi-level temperature zone showed the dewing of grain surface and mildew would occur in the next spring. If the mechanical ventilation was applied properly in winter, the grain safety could be realized and condensation was eliminated. The research can provide a available basis for predict the safety of stored grain by using field analysis method.