TY - GEN
T1 - Integrated sensor networks for rock-mass characterization and material handling
AU - Hopkins, D.
AU - Davis, W. B.
AU - Türler, D.
AU - Kemeny, J.
PY - 2005
Y1 - 2005
N2 - Work is underway to develop techniques to integrate, analyze and display data collected during mining that builds upon previous work focused on development of technology to collect data while drilling to improve blasting results and material handling in open-pit mines. This research demonstrated the feasibility of measuring the elemental composition of the rock mass from samples automatically collected during drilling, and drill vibration data measured by a wireless system mounted to the drill stem. The project demonstrated how these data can be used in conjunction with drilling, geological, and post-blast-fragmentation data for blast design, material handling, and potentially, to improve mineral processing. This paper describes how these newly developed rock-mass characterization techniques can be further developed so that they are sufficiently automated to allow the data collected to be easily integrated into a mine-wide information system. Emerging technologies in sensors, networking, communications, and probabilistic network modeling are described that promise to enable process-control applications.
AB - Work is underway to develop techniques to integrate, analyze and display data collected during mining that builds upon previous work focused on development of technology to collect data while drilling to improve blasting results and material handling in open-pit mines. This research demonstrated the feasibility of measuring the elemental composition of the rock mass from samples automatically collected during drilling, and drill vibration data measured by a wireless system mounted to the drill stem. The project demonstrated how these data can be used in conjunction with drilling, geological, and post-blast-fragmentation data for blast design, material handling, and potentially, to improve mineral processing. This paper describes how these newly developed rock-mass characterization techniques can be further developed so that they are sufficiently automated to allow the data collected to be easily integrated into a mine-wide information system. Emerging technologies in sensors, networking, communications, and probabilistic network modeling are described that promise to enable process-control applications.
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U2 - 10.1201/9781439833407.ch72
DO - 10.1201/9781439833407.ch72
M3 - Conference contribution
AN - SCOPUS:84856813515
SN - 0415374499
SN - 9780415374491
T3 - Application of Computers and Operations Research in the Mineral Industry - Proc. of the 32nd Int. Symposium on the Application of Computers and Operations Research in the Mineral Industry, APCOM 2005
SP - 535
EP - 546
BT - Application of Computers and Operations Research in the Mineral Industry - Proc. of the 32nd Int. Symposium on the Application of Computers and Operations Research in the Mineral Industry, APCOM 2005
PB - A.A. Balkema Publishers
T2 - 32nd International Symposium on the Application of Computers and Operations Research in the Mineral Industry, APCOM 2005
Y2 - 30 March 2005 through 1 April 2005
ER -