Chinese herbal medicine drying moisture content control method and device based on LSTM model

The invention provides a Chinese herbal medicine drying moisture content control method and device based on an LSTM model. The method comprises the steps that data signals in the Chinese herbal medicine drying process are collected through multiple sensors and transmitted to a data processing module; the data processing module is used for preprocessing and segmenting the collected data; constructing an LSTM neural network model; training and evaluating the constructed LSTM neural network model; using the trained LSTM neural network model to predict Chinese herbal medicine dry moisture content data; adjusting parameters of the Chinese herbal medicine drying equipment according to the prediction result. The Chinese herbal medicine drying moisture content can be accurately controlled. 本发明提供一种基于LSTM模型的中草药干燥含水率控制方法及设备，所述方法包括：通过多种传感器采集中草药干燥过程中的数据信号并将数据信号传输至数据处理模块；通过数据处理模块对采集的数据进行预处理和分割；构建LSTM神经网络模型；训练并评估所构建的LSTM神经网络模型；使用训练好的LSTM神经网络模型预测中草药干燥含水率数据；根据预测结果调节中草药干燥设备的参数。本发明可以实现对中草药干燥含水率精准控制。