微型电脑应用

融合冻害预警目标区温度分布与其邻近基准气象站温度分布的差异特征和相关性，基于邻近基站实测和预测温度以及目标区上周期温度，预测目标区预测周期温度分布情况。定义合理的模糊推理规则库，基于模糊决策理论，建立核桃花期冻害智能预警与防治系统模型。讨论预警模型的计算复杂度，给出预警模型的一个应用实例，结果显示该模型对核桃花期冻害预警效果良好。

Based on the difference characteristics and correlation between the temperature distribution in the target area of frost damage early warning and the temperature distribution in the adjacent reference meteorological station, the predicted periodic temperature distribution in the target area is predicted based on the measured and predicted temperature of the adjacent base station and the upper periodic temperature in the target area. A reasonable fuzzy inference rule base is defined, and an intelligent early warning and control system model of freezing injury in walnut flowering period is established based on fuzzy decision theory. The computational complexity of the early warning model is discussed. An application example of the early warning model is given. The results show that the model has a good effect on the early warning of freezing injury in walnut flowering period.