Forecasting of Coal Mine Working Face Roof Pressure Based on Time Series

Author:

Zhang Yong1,Yang Xue Qiang2,Wang Zeng Xin2

Affiliation:

1. Tai Shan Medical College

2. Xin Cha Zhuang Ming Co.Ltd, Shan Dong Province

Abstract

China is one of the largest coal producer and consumer countries in the world. However, due to the complexity of coal resources, storage conditions, geological disaster-prone coal mines, it is also a coal mine accidents multiple country, coal mine accidents and deaths of China accounted to about 80% total of the world. In the coal mine accident occurred, roof accident has accounted for around 40%,such as the roof collapsed, slipped, deformation, obstruction and so on. So the monitor and early warning of roof is particularly important. State of motion is closely related to mine roof pressure. Roof support pressure or resistance can be measured by the pressure sensor. Applied time series theory analysis and forecasting future pressure changes, can master the roof movement trends and regularity, guide safe production. So the decisions have some practical significance.

Publisher

Trans Tech Publications, Ltd.

Reference8 articles.

1. Zhang Yong: Study on integrated technology based on roof dynamic monitoring. In: Shan dong university of science and technology ( 2009).

2. Chatfield C: The analysis of time series [M]. 5th edition,New York,NY, USA: Chapman and Hall, 1996, page 91.

3. JIA Rui-sheng, SUN Hong-mei1, YAN Xiang-hong: Model for safety evaluation of coal mine roof based on evidence fusion theory. In: JOURNAL OF CHINA COAL SOCIETY, 2010, page 1496.

4. Li Li, Cheng Jiulong: Floor water irruption prediction based on information fusion. In Journal of China Coal Society, (2006), page 623.

5. Zhou Hao, Li Shaohong: Combination of support vector machine and evidence theory in information fusion. In: Chinese Journal of Sensors and Actuators, (2008), page 1566.

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