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Mines-In-Time SIGNED

Monitoring System of rock stability in mines based on Advanced 4D seismic analysis.

Total Cost €

0

EC-Contrib. €

0

Partnership

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Project "Mines-In-Time" data sheet

The following table provides information about the project.

Coordinator
SPACEARTH TECHNOLOGY SRL 

Organization address
address: Via di Vigna Murata 605
city: ROMA
postcode: 143
website: n.a.

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Italy [IT]
 Total cost 71˙429 €
 EC max contribution 50˙000 € (70%)
 Programme 1. H2020-EU.3. (PRIORITY 'Societal challenges)
2. H2020-EU.2.3. (INDUSTRIAL LEADERSHIP - Innovation In SMEs)
3. H2020-EU.2.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies)
 Code Call H2020-SMEInst-2018-2020-1
 Funding Scheme SME-1
 Starting year 2019
 Duration (year-month-day) from 2019-10-01   to  2020-03-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    SPACEARTH TECHNOLOGY SRL IT (ROMA) coordinator 50˙000.00

Map

 Project objective

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).

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The information about "MINES-IN-TIME" are provided by the European Opendata Portal: CORDIS opendata.

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