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Uno de los pasos ineludibles para la próxima generación de tecnologías de Data Science e Inteligencia Artificial aplicadas a la minería
Uno de los pasos ineludibles para la próxima generación de tecnologías de Data Science e Inteligencia Artificial aplicadas a la minería
Con MiningMath, puede generate improvedpozos anidados, retrocesos, y schedules that integrate the short and long-term.
MiningMath isn’t necessarily in competition with other mine optimization packages designed to address one or more of these challenges. En cambio, it provides you with the flexibility to choose the workflow that aligns best with your requirements.
MiningMath uses block models imported in the 
formato. The block’s periods and destinations optimized can also be exported (en y 
formats) y imported back into your other mining package for comparison, diseño de retroceso o fines de programación.
MiningMath optimizes all periods simultaneously without requiring revenue factors. It has the potential to find a través de la optimización de un solo paso de MiningMath destinada a maximizar el flujo de caja descontado de su proyectos compared to traditional methods based on LG/Pseudoflow nested pits, which often overlook processing capacities (resulting in gap problems), optimización de destinos, and discount rates. Tradicionalmente, in a step-wise process these and various other real-life factors are only considered later, which restricts the project’s de tus proyectos. Learn more aquí.
Nuestro single-step optimized pushbacks can streamline your design process and guide your mine schedule when used alongside other software packages. The MiningMath optimizer effectively breaks down your entire deposit (modelo de bloque) into smaller components, with the primary goal of maximizing Net Present Value while still respecting as many constraints as you wish (incluso geometric unos).
MineríaMatemáticas salidas work essentially as optimized pushbacks, aiming to maximize NPV while controlling any variable you choose. When you successfully import MiningMath surfaces ( archivos) into other applications, they serve as a guide. En otras palabras, MiningMath surfaces should aid these applications in finding higher NPVs. Many of these applications offer the option to predefine the blocks’ destination, allowing you to use MiningMath’s optimized destinations, if you wish. Ultimately, the other applications are then left solely with the task to do the bench scheduling according to your short-term operational/tactical requirements.
Using MiningMath in strategic mine planning enables you to incorporate additional restricciones from real-life operations, even if you’re simply reviewing your existing long-term plans. You can also set surface limits. Por ejemplo, siyou have a designed surface of the next five years plan, you can allow short-term planners some controlled flexibility to rerun their mine plans including more operational details, as long as they don’t alter anything from period 6 onwards, and don’t affect the NPV negatively.
In case any opportunities or issues arise, short and long-term teams can collaborate to develop new joint configurations that account for all the strategic and tactical project needs simultaneously. Remaining details, such as designs, can be fine-tuned using other available paquetes mineros.
Explore our Base de conocimientos for comprehensive documentation, and engage with our community foros to interact with peers and get your queries resolved.
MiningMath’s methodology has been successfully applied by our partners for several years, con un número creciente de licencias vendidas en todo el mundo. Press releases y investigación académica further validate the effectiveness and reliability of our implementation.
Con desarrollos constantes desde 2013, MiningMath has evolved into a mature and robust state, proporcionando soluciones directamente desde el modelo de bloque. Es el primer y único motor de optimización de minería de un solo paso disponible en el mercado.!
Windows de 64 bits (x86_64) - 121 MEGABYTE
Windows de 64 bits (x86_64) - 121 MEGABYTE
Hola, es mima aquí 😇 Hazme cualquier pregunta!