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          Stability index model

Stability index model

This risk index is an indicator of risk of collapse, whose values ​​go from zero, with a predictive trend of low occurrence, to a value of 1.0 where the predictive trend is higher.

 

Although at a higher rate there is a greater chance of an event occurring, we will not use the concept of probability, as the latter is used academically in a context associated with a more rigorous mathematical / statistical framework.

MLP stability index model

  • The system uses the data obtained from different data sources.

 

  • We consider the use of Artificial Intelligence to correlate and find patterns in the data.

 

  • The main characteristics of this model is that a risk index is obtained in geospatial form, which provides a georeferenced risk map.

 

  • This model is known as the Long-Term Model (MLP) because, with a few months' notice, it reports a possible collapse in different spatial areas of the pit.

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The stability index model is a powerful tool for the visualization of slope instability unique worldwide, to obtain future ground deformations in open-pit mines.


Currently there is no effective way to predict future deformations, despite the great existing geotechnical instrumentation, deformations and collapses continue to occur without having the information and enough time to make efficient and timely decisions. Our system delivers an Ultra Early Alarm, which is capable of warning the occurrence of instabilities or collapses, several months before its occurrence. Ultra-early alarms are usually issued in sectors where a deformation process has not yet started.


This Artificial Intelligence System "learns" from the historical data recovered and from the information daily collected by the sensors and geotechnical monitoring systems used by mining companies.

 

Advantages of the Stability Index Model:

 

  • Allow to warn if the fulfillment of the production plans, whether monthly, semi-annual, and even annually, could be affected by instability not considered in the exploitation.

  • It allows to have a concrete antecedent, to take mitigation actions well in advance.

  • It allows changing the scenario of future instability that is observed, in such a way as to ensure the production plan involved.

 

 

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