An online generation method of tobacco leaf curing curve in intensive curing barn
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A technology of curing process and intensive curing room, which is applied in the fields of tobacco, tobacco preparation, application, etc., can solve the problem of inability to realize the online generation of curing process curve, and achieves the effect of flexible and convenient implementation, good effect and reduction of labor cost.
Inactive Publication Date: 2018-02-09
CHONGQING COLLEGE OF ELECTRONICS ENG
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[0005] Chinese patent CN201510178892.9 discloses an electronic nose intelligent baking control system and control method with automatic learning function. This method intelligently adjusts the preset baking process curve, but this method cannot realize the online baking process curve. generate
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[0035] Step 1: Start baking, set the parameters of the baking process curve in the initial stage: dry bulb temperature T d , wet bulb temperature T w , and the end time t of the baking phase c , forming the baking process curve in the initial stage;
[0036] Step 2: Detect the current baking time t h Whether it reaches 5 hours before the end of the baking stage of this stage, if yes, go to step 3, otherwise repeat step 2 after 1 hour;
[0037] Step 3: start the prediction of the parameters of the baking process curve in the next stage. From the current moment to the 5 hours before the end of the baking phase of this stage, the gas signal of the baking room is collected every 1 hour and the odor feature i...
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Abstract
The invention discloses a method for online generating a tobacco leaf curing process curve for a bulk curing barn. The method comprises the following steps: firstly, setting a curing process curve in the initial stage, and starting the curing process curve parameter prediction in the next stage 5 hours before the stage is finished; then, collecting curing barn gas signals once every one hour, and extracting the odor characteristics, inputting the characteristics to a trained RBF neural network, and predicting and outputting a curing process curve parameter in the next stage to form the curing process curve in the next stage; and repeating the above steps until curing is completed so as to realize online generation of the tobacco leaf curing process curve for a bulk curing barn. According to the method, the process for artificially determining the tobacco leaf curing state is converted into intelligent identification by a machine, the curing process curve can be generated online in real time, and the curing process is accordingly conducted, the system does not need to preset a curing process curve, and the whole process does not have artificial participation, so that artificial cost for the curing system is reduced, and artificial subjective factor interference can be avoided.
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technical field [0001] 本发明涉及烤烟烘烤工艺技术领域,具体指一种用于密集烤房烟叶烘烤工艺曲线的在线生成方法。 Background technique [0002] 我国大部分地区的密集烤房烟叶烘烤方式是遵循烤烟三段式理论,即通过烘烤工艺曲线去控制烤房内的温度和湿度,按照曲线要求的干球温度、湿球温度以及烘烤持续时间来控制烤房的温度和湿度,从而实现将新鲜绿色的烟叶烘烤成干燥橙黄色的烤烟。烘烤工艺曲线的横坐标为烘烤时间,纵坐标为干球温度或湿球温度,根据各个烘烤阶段的烘烤工艺曲线参数:干球温度T d ,湿球温度T w ,以及烘烤阶段持续时间t c ,可确定整个烘烤过程的烘烤工艺曲线。烘烤工艺曲线有两条,一条是控制烤房温度的干球温度曲线,一条是控制烤房湿度的湿球温度曲线。 [0003] 传统的密集烤房烟叶烘烤方式中,烘烤工艺曲线是预先设定好的,在烘烤过程中,根据烟叶实际烘烤情况,烘烤工艺曲线会被人为地调整,这个修改过程需要人工参与,造成系统成本增加。同时人工的经验判断,会存在一定的主观因素,这难免影响烤烟的烘烤质量。 [0004] 根据烟叶三段式烘烤理论,在不同的烘烤阶段烟叶会释放不同成分的挥发性气体,以此理论可以通过检测当前阶段烤房烟叶释放的气体,提取并分析该气体特征,由此预测下一阶段烘烤工艺曲线参数,烘烤过程随之展开,直到烘烤结束,烟叶的烘烤工艺曲线也就随之生成,这种一边进行烘烤控制一边生成烘烤工艺曲线的方法是全新且可行的。 [0005] 中国专利CN201510178892.9公开了一种自动学习功能的电子鼻智能烘烤控制系统及控制方法,该方法对预先设定的烘烤工艺曲线进行智能调节,但是该方法无法实现烘烤工艺曲线的在线 generate. Contents of the invention [0006] 针对现有技术存在的不足,本发明的目的是提出一种密集烤房烟叶烘烤工艺曲线的在线生成的方法。 [0007] 为了解决上述问题,本发明采用了以下的技术方案。 [0008] 一种密集烤房烟叶烘烤工艺曲线的在线生成方法,其特征在于,按以下步骤进行: [0009] 步骤一:开始烘烤,设置初始阶段烘烤工艺曲线参数:干球温度T d ,湿球温度T w ,当前阶段持续时长t c ,生成该阶段...
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