dc.contributor.author |
Vogt, D
|
|
dc.contributor.author |
Brink, AVZ
|
|
dc.contributor.author |
Stewart, R
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dc.contributor.author |
Donovan, SJ
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dc.contributor.author |
Haarhoff, J
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|
dc.date.accessioned |
2008-12-04T12:10:12Z |
|
dc.date.available |
2008-12-04T12:10:12Z |
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dc.date.issued |
2008-10 |
|
dc.identifier.citation |
Vogt, D, Brink, AVZ and Stewart, R. 2008. AziSA: improving mining decisions with real time data. International Platinum conference: platinum in Transformation. Sun City, South Africa, 6-9 October 2008, pp 231-238 |
en |
dc.identifier.isbn |
9781920211196 |
|
dc.identifier.uri |
http://hdl.handle.net/10204/2655
|
|
dc.description |
This paper was first presented at the 3rd International Platinum conference: platinum in Transformation, organised by SAIMM (Southern African Institute of Mining and Metallurgy) |
en |
dc.description.abstract |
South African underground hard rock mines are typically managed using measurements made daily, weekly or even monthly of key parameters face advance, readiness to blast, blast success, temperature or dust levels. Health, safety and productivity can all be greatly improved if a realtime measurement system can inform decision making. To enable this vision of widespread sensing, communication and decision support, CSIR has developed an open standard architecture for communication of sensor data, and a reference implementation using that standard. The standard, called AziSA, meaning 'to inform' in isiZulu, will allow any device that complies with it to join any network that supports it. The standard is designed for South African gold and platinum mines. In this paper the design is discussed, and a future application for a platinum mine is considered |
en |
dc.description.sponsorship |
The Southern African Institute of Mining and Metallurgy |
en |
dc.language.iso |
en |
en |
dc.publisher |
3rd International Platinum conference: platinum in Transformation |
en |
dc.subject |
Real time data |
en |
dc.subject |
AziSA |
en |
dc.subject |
Underground mining |
en |
dc.title |
AziSA: improving mining decisions with real time data |
en |
dc.type |
Conference Presentation |
en |
dc.identifier.apacitation |
Vogt, D., Brink, A., Stewart, R., Donovan, S., & Haarhoff, J. (2008). AziSA: improving mining decisions with real time data. 3rd International Platinum conference: platinum in Transformation. http://hdl.handle.net/10204/2655 |
en_ZA |
dc.identifier.chicagocitation |
Vogt, D, AVZ Brink, R Stewart, SJ Donovan, and J Haarhoff. "AziSA: improving mining decisions with real time data." (2008): http://hdl.handle.net/10204/2655 |
en_ZA |
dc.identifier.vancouvercitation |
Vogt D, Brink A, Stewart R, Donovan S, Haarhoff J, AziSA: improving mining decisions with real time data; 3rd International Platinum conference: platinum in Transformation; 2008. http://hdl.handle.net/10204/2655 . |
en_ZA |
dc.identifier.ris |
TY - Conference Presentation
AU - Vogt, D
AU - Brink, AVZ
AU - Stewart, R
AU - Donovan, SJ
AU - Haarhoff, J
AB - South African underground hard rock mines are typically managed using measurements made daily, weekly or even monthly of key parameters face advance, readiness to blast, blast success, temperature or dust levels. Health, safety and productivity can all be greatly improved if a realtime measurement system can inform decision making. To enable this vision of widespread sensing, communication and decision support, CSIR has developed an open standard architecture for communication of sensor data, and a reference implementation using that standard. The standard, called AziSA, meaning 'to inform' in isiZulu, will allow any device that complies with it to join any network that supports it. The standard is designed for South African gold and platinum mines. In this paper the design is discussed, and a future application for a platinum mine is considered
DA - 2008-10
DB - ResearchSpace
DP - CSIR
KW - Real time data
KW - AziSA
KW - Underground mining
LK - https://researchspace.csir.co.za
PY - 2008
SM - 9781920211196
T1 - AziSA: improving mining decisions with real time data
TI - AziSA: improving mining decisions with real time data
UR - http://hdl.handle.net/10204/2655
ER -
|
en_ZA |