Research on Calibration of Steam Thermometers in Cigarette Factory Based on LSTM Neural Network

Temperature instruments have been widely used in the current industrial environment, but there are also some problems with temperature instruments. For example, when the current conditions change, temperature instruments may have certain accuracy issues. However, in industrial environments, it is difficult for temperature instruments to ensure that the working environment they face does not change. On the basis of existing conditions, this article proposes using neural networks to calibrate temperature instruments, making their accuracy higher. This method is beneficial for improving the quality and stability of products, and strengthening production safety.