Details:

Personal Author:
Swanson, Peter L.
Corporate Authors:
Spokane Research Laboratory (National Institute for Occupational Safety and Health)
Conference Authors:
International Symposium on Rockbursts and Seismicity in Mines (5th : 2001 September 17-19 : Johannesburg, South Africa)
Description:
NIOSH has developed an automated PC-based seismic monitoring system for use in mine ground control studies. The distribution and coordination of data acquisition and processing functions across a local area network (LAN) is a central feature of the system. Design requirements include (1) the use of lowcost, off-the-shelf, data acquisition and computer hardware, (2) the capability of automatically merging waveform data sets from different types of monitoring systems, (3) delivery of raw and processed data underground and on the surface, as well as to remote sites, and (4) automated data collection and processing over long periods of time without the need for human intervention. Current mine-wide installations utilize multiple, autonomous seismic networks located both underground and on the surface and provide 20 to 40 stations within a radius of several kilometers. Event locations, magnitude estimates, and other processed data are distributed for display and analysis on network nodes both underground and in the offices of mine engineers and managers. This paper describes the system's hardware and software components, examples of installations in hard-rock and coal mines, and a few observations from western U.S. longwall coal mines.
Subject:
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Mining

Source:
Proceedings of the 5th International Symposium on Rockbursts and Seismicity in Mines, Johannesburg, South Africa, September 17-19, 2001. van Aswegen G, Durrheim RJ, Orlepp WD, eds., Johannesburg, South Africa: South African Institute for Mining and Metallurgy, 2001 Sep; :11-17
Document Type:
Book Chapter
Genre:
Conference Publications
Collection(s):
National Institute for Occupational Safety and Health
Main Document Checksum:
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urn:sha256:86dc765e2135030eeb3d625188e40deb3ed15c9a64225812d609818a0e786017
File Type:

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