Abstract：Aiming at the problems of large reading data error, inconvenient operation and long periodicity in the process of gas pressure measurement, a set of remote and real-time online monitoring device is developed, and Python polynomial regression is used to analyze and predict the data. The research results show that the remote, accurate and real-time online monitoring of borehole gas pressure is realized by using sensors, network switches and data monitoring system. At the same time, compared with the traditional linear regression method, Python polynomial regression method has higher fitting degree and more accurate prediction of data, which effectively shortens the pressure measurement time.
谢凯熙，王声远，齐黎明. 基于Python多项式回归的钻孔瓦斯压力预测与应用[J]. 煤炭与化工, 2024, 47(3): 103- 106，111..
Xie Kaixi, Wang Shengyuan, Qi Liming. Prediction and application of borehole gas pressure based on Python polynomial regression. CCI, 2024, 47(3): 103- 106，111..
