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_REVISION - C1996083 (2)
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_REVISION - C1996083 (2)
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Entry Properties
Last modified
11/17/2020 1:46:57 PM
Creation date
2/24/2010 11:03:22 AM
Metadata
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Template:
DRMS Permit Index
Permit No
C1996083
IBM Index Class Name
REVISION
Doc Name
Seismic Event Data Acquistition and Processing Distribition and Coordination Across PC-Based Network
Type & Sequence
PR10
Media Type
D
Archive
No
Tags
DRMS Re-OCR
Description:
Signifies Re-OCR Process Performed
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with battery storage. Seismic data are transferred to data processing workstations on the network <br /> via 2.4-GHz,direct-sequence,spread-spectrum wireless transceivers. <br /> While the PC-104 computers can operate the four- and eight-channel A/D boards under <br /> Windows95/98/NT, DOS, and Linux, Linux was selected as the operating system of choice <br /> because laboratory tests showed that it allows the fastest error-free sampling rates. Samba, an <br /> open-source file system server, was used to give Microsoft Windows-based network nodes access <br /> to files on the Linux PC-104 units. The 486-100 MHz PC-104 computers are placed at the point of <br /> signal digitizing to alleviate a data transmission bottleneck encountered in some applications of <br /> method 2. <br /> In method 2, seismic data are continuously sampled and transmitted back to a centralized <br /> processing computer on the network, where they are examined for discrete seismic "events."The <br /> number of channels that can be recorded at the high sampling rates is limited by the available <br /> bandwidth of the spread-spectrum radio network. Adding additional channels reduces the <br /> maximum possible sampling rate. To increase the number of stations providing data via radio link <br /> without reducing the sampling rates, the distributed PC-104 approach was developed. <br /> Continuously sampled seismic data are examined by the embedded processor and discarded, if so <br /> desired, when trigger conditions are not met. Data files meeting the trigger criterion are locally <br /> saved to disk and/or pulled off the remote node with the wireless network connection. Providing <br /> the task load is not too great on the remote computer, additional processing may also be done. <br /> Work is currently underway to use the networked PC-104 platforms with inexpensive single- <br /> frequency Global Positioning System (GPS) receivers for continuous measurements of subsidence <br /> and other factors of importance in mine safety studies(Swanson et al.,2001). <br /> Time Base Synchronization <br /> Each data acquisition system records a common timing signal derived from GPS satellites. <br /> Underground data acquisition systems receive these time codes via copper or fiber cables. During <br /> the initial part of the data processing cycle, the timing signals are decoded and the time base of <br /> each seismic record is adjusted. <br /> SOFTWARE <br /> Networking <br /> Several different types of networking and operating system software were examined during <br /> system development. As the initial data acquisition systems were restricted to DOS, peer-to-peer <br /> networking to the data processing platforms was achieved using the NetBEUI protocol available in <br /> Workgroups Add-On for DOS.TCP/IP protocol is used to connect to Linuy�based data acquisition <br /> PC's.The main seismic data processing PC's use either Windows9x or NT operating systems. <br /> Use of mining companies' general-purpose LAN's for seismic data acquisition and processing <br /> has met with mixed success.If there is no one on site to tend to the monitoring system on a regular <br /> basis, a stand-alone, or isolated, LAN is preferred. This avoids problems associated with many <br /> diverse users, corporate firewalls, and other security issues. If the corporate system administrator <br /> is on site and attuned to the needs of the seismic monitoring system,problems can be minimized. <br /> By isolating the data acquisition nodes onto a separate LAN,these problems can be largely limited <br /> to periodic temporary disruption of the automated data processing. <br />
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