基于Python多项式回归的钻孔瓦斯压力预测与应用OA
Prediction and application of borehole gas pressure based on Python polynomial regression
针对瓦斯测压过程中读取数据误差大、操作不方便和周期性长等问题,研发了一套远程、实时在线监测装置,并利用Python多项式回归对数据进行分析预测.研究结果显示,利用传感器、网络交换机和数据监测系统实现了钻孔瓦斯压力远程、精准、实时在线监测,同时相比传统的一元线性回归方法,Python多项式回归方法对数据的拟合度更高预测更准确,有效缩短了测压时间.
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…查看全部>>
谢凯熙;王声远;齐黎明
华北科技学院安全工程学院,北京东燕郊 101601华北科技学院安全工程学院,北京东燕郊 101601华北科技学院安全工程学院,北京东燕郊 101601
矿山工程
瓦斯测压在线监测装置Python多项式回归预测缩短测压时间
gas pressure measurementon-line monitoring devicepython polynomial regressionpredictionshorten the pressure measurement time
《煤炭与化工》 2024 (3)
103-106,111,5
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