IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-642-38391-5_98.html
   My bibliography  Save this book chapter

A Research on Mine Pressure Monitoring Data Analysis and Forecast Expert System of Fully Mechanized Coal Face

In: The 19th International Conference on Industrial Engineering and Engineering Management

Author

Listed:
  • Hong-bing Qiao

    (China University of Mining and Technology Beijing)

  • Hai-long Xu

    (China University of Mining and Technology Beijing)

  • Ao-shuang Pang

    (China University of Mining and Technology Beijing)

  • Chang-dong Zhou

    (China University of Mining and Technology Beijing)

  • Yi-lun Wang

    (China University of Mining and Technology Beijing)

Abstract

Based on the research of mine pressure monitoring system of fully mechanized coal face, we have designed a set of software, whose perfect function is mine pressure monitoring data analysis. The data from mine pressure monitoring system could be collected and analyzed scientifically and effectively. We have accomplished the establishment of four databases combined with safety production condition of working face and the result of data analysis. Besides, we have designed a mine pressure forecast model and forecast expert system with the four established databases. It is of practical significance for safety production of working face.

Suggested Citation

  • Hong-bing Qiao & Hai-long Xu & Ao-shuang Pang & Chang-dong Zhou & Yi-lun Wang, 2013. "A Research on Mine Pressure Monitoring Data Analysis and Forecast Expert System of Fully Mechanized Coal Face," Springer Books, in: Ershi Qi & Jiang Shen & Runliang Dou (ed.), The 19th International Conference on Industrial Engineering and Engineering Management, edition 127, chapter 0, pages 925-934, Springer.
  • Handle: RePEc:spr:sprchp:978-3-642-38391-5_98
    DOI: 10.1007/978-3-642-38391-5_98
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-3-642-38391-5_98. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.