Study on laws of gas occurrence and emission of deep coal seam in Yaoqiao Coal Mine

被引：0

作者：

Cheng, Gen-yin ^{[1
,2
]}

Zhou, Yi-fei ^{[2
]}

Qi, Li-ming ^{[2
]}

Feng, Shan ^{[2
]}

Cao, Jian ^{[2
]}

机构：

[1] North China Inst Sci & Technol Sanhe, Dept Safety Training, Wuhan 065201, Hebei, Peoples R China

[2] North China Inst Sci & Technol Sanhe, Coll Safety Engn, Wuhan 065201, Hebei, Peoples R China

来源：

PROCEEDINGS OF THE 2015 4TH INTERNATIONAL CONFERENCE ON SENSORS, MEASUREMENT AND INTELLIGENT MATERIALS | 2016年 / 43卷

关键词：

Gas content; Gas Emission; Laws of gas occurrence and emission;

D O I：

暂无

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

To grasp the gas occurrence and emission laws of Yaoqiao deep coal mining area (West ten mining area and the second central mining area) in No. 7 Coal Seam, the neural network is used to analyze the relationship and degree of influence factors between gas occurrence and gas content. We construct a prediction model of gas content to predict the gas content of the corresponding position and draw contour map of the gas content. We combine gas geological data of Yaoqiao coal mine and summarize the law of gas occurrence and emission to guide the work of gas prevention and control and enhance the prevention level of gas disaster.

引用

页码：791 / 796

页数：6

共 10 条

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[6] Li Zhao, 2011, COAL ENG, p84~86
[7] State Administration of work safety State Administration of coal mine safety, 2011, COAL MIN SAF REG
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[10] Zhang Zixu, 1999, CHINESE J COAL, p368~373

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