Summary
PROBLEM
Catastrophic ground collapse in mines is the main hazard for safety of workers and for the mining activity. Monitoring the alteration of the state of the rock mass during underground mining operations plays a key-role to forecast the failure of the rocks. This is currently done through 3D LET (Local Earthquake Tomography) computational analysis on data provided by existing seismographic networks once every month and through quasi-manual analysis of experts: the procedure is time-consuming and expensive, and the results are difficult to be interpreted by the mine’s decision makers and not fully reliable (high possibility of error).
SOLUTION: MINES-IN-TIME
Mines-In-Time (MIT) is an automatic solution for monitoring in real time the stress alteration of the rock mass during mining operations, to be integrated in a traffic-light Decision Support System (DSS) to avoid risks and cost related to mines collapse. The system is based on the innovative 4D LET algorithm (three spatial dimensions + time), able to analyze both natural and induced micro-seismicity such as movements due to drilling or other mining operations. The solution was validated in relevant environment thanks to its application in Garpenberg mine (owned by Boliden Group - Sweden), the world's most productive and automated underground zinc mine (1250 m depth), demonstrating outstanding monitoring capability, reliability and low cost (no hardware needed).
Catastrophic ground collapse in mines is the main hazard for safety of workers and for the mining activity. Monitoring the alteration of the state of the rock mass during underground mining operations plays a key-role to forecast the failure of the rocks. This is currently done through 3D LET (Local Earthquake Tomography) computational analysis on data provided by existing seismographic networks once every month and through quasi-manual analysis of experts: the procedure is time-consuming and expensive, and the results are difficult to be interpreted by the mine’s decision makers and not fully reliable (high possibility of error).
SOLUTION: MINES-IN-TIME
Mines-In-Time (MIT) is an automatic solution for monitoring in real time the stress alteration of the rock mass during mining operations, to be integrated in a traffic-light Decision Support System (DSS) to avoid risks and cost related to mines collapse. The system is based on the innovative 4D LET algorithm (three spatial dimensions + time), able to analyze both natural and induced micro-seismicity such as movements due to drilling or other mining operations. The solution was validated in relevant environment thanks to its application in Garpenberg mine (owned by Boliden Group - Sweden), the world's most productive and automated underground zinc mine (1250 m depth), demonstrating outstanding monitoring capability, reliability and low cost (no hardware needed).
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More information & hyperlinks
| Web resources: | https://cordis.europa.eu/project/id/875071 |
| Start date: | 01-10-2019 |
| End date: | 31-03-2020 |
| Total budget - Public funding: | 71 429,00 Euro - 50 000,00 Euro |
Cordis data
Original description
PROBLEMCatastrophic ground collapse in mines is the main hazard for safety of workers and for the mining activity. Monitoring the alteration of the state of the rock mass during underground mining operations plays a key-role to forecast the failure of the rocks. This is currently done through 3D LET (Local Earthquake Tomography) computational analysis on data provided by existing seismographic networks once every month and through quasi-manual analysis of experts: the procedure is time-consuming and expensive, and the results are difficult to be interpreted by the mine’s decision makers and not fully reliable (high possibility of error).
SOLUTION: MINES-IN-TIME
Mines-In-Time (MIT) is an automatic solution for monitoring in real time the stress alteration of the rock mass during mining operations, to be integrated in a traffic-light Decision Support System (DSS) to avoid risks and cost related to mines collapse. The system is based on the innovative 4D LET algorithm (three spatial dimensions + time), able to analyze both natural and induced micro-seismicity such as movements due to drilling or other mining operations. The solution was validated in relevant environment thanks to its application in Garpenberg mine (owned by Boliden Group - Sweden), the world's most productive and automated underground zinc mine (1250 m depth), demonstrating outstanding monitoring capability, reliability and low cost (no hardware needed).
Status
CLOSEDCall topic
EIC-SMEInst-2018-2020Update Date
27-10-2022
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