基于多元线性回归对瓦斯含量和涌出量预测的实验研究_中国煤炭行业知识服务平台

基于多元线性回归对瓦斯含量和涌出量预测的实验研究

Title

Experimental Study on Gas Content and Emission Quantity Predicting Based on Multiple Linear Regression
作者

胡魏魏
Author

Hu Weiwei
单位

陕西煤业化工技术研究院有限责任公司
Organization

Shaanxi Coal Industry Chemical Engineering Technology Research Institute Co.
摘要

为了准确预测矿井瓦斯含量和涌出量,通过对实验矿井煤层瓦斯含量的测定,运用多元线性回归的方法,对影响瓦斯含量的单因素和多因素影响进行分析比较,得出多因素预测瓦斯含量拟合度更高,并以此为基础,可以预测煤层瓦斯含量和涌出量。
Abstract

In order to accurately predict the gas content and emission quantity in the mine, the measurement of the gas content in the experimental mine coal seams is conducted using the method of multiple linear regression to analyze and compare the single and multiple factors that affect the gas content. It is found that the multi factor prediction of gas content has a higher fitting degree, and based on this, the gas content and emission quantity in coal seams can be predicted.
关键词

瓦斯含量多元线性回归赋存规律涌出规律
KeyWords

gas content; multiple linear regression; occurrence regularity; emission law
DOI

10.3969/j.issn.1005-2801.2023.09.043