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Intelligent Monitoring and Control of Grain Continuous Drying Process Based on Multi-parameter Corn Accumulated Temperature Model

机译:基于多参数玉米累积温度模型的谷物连续干燥过程智能监控

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The mathematical model of grain drying process is an important basis for grain drying equipment design, automatic control of drying operation and optimization of drying process. Continuous drying is one of the most widely used forms of grain drying, In the drying process, there are many factors that affect the water content of the machine, such as food temperature, food humidity, hot air wind speed, the initial moisture into the food. It is very important to realize the automatic control of the grain dryer, to ensure the uniformity of the food moisture, dry grain quality, reduce the labor intensity of the operator and give full play to the dryer production capacity is of great significance. In this paper, the accumulated temperature control model of corn is put forward, and the rate of grain discharge dryer is determined by the accumulated temperature value to control the water content of grain. The experimental results show that the mathematical model of the accumulated temperature can be used for the automatic control of the continuous dryer. The accumulated temperature can effectively control the drying process and can meet the requirements of the operation. It has the characteristics of simple algorithm, fast response and overcoming the influence of the same lag on the measurement and control.
机译:谷物干燥过程的数学模型是谷物干燥设备设计,干燥操作自动控制和干燥过程优化的重要基础。连续干燥是谷物干燥中使用最广泛的形式之一,在干燥过程中,有许多因素会影响机器的含水量,例如食物温度,食物湿度,热空气风速,进入机器的初始水分。食物。实现谷物干燥机的自动控制,对于保证食品水分均匀度,干燥谷物品质,减轻操作人员的劳动强度,充分发挥干燥机的生产能力具有十分重要的意义。提出了玉米累积温度控制模型,利用累积温度值确定了谷物出料干燥机的出料速率,以控制谷物的水分含量。实验结果表明,累积温度的数学模型可用于连续干燥机的自动控制。积聚的温度可以有效地控制干燥过程,可以满足操作要求。它具有算法简单,响应速度快,克服了相同滞后对测控的影响的特点。

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