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Integración de la Inteligencia Artificial en la Ventilación bajo Demanda: Práctica Actual y Promesas Futuras

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La Inteligencia Artificial (IA) mejora los sistemas de Ventilación bajo Demanda (VOD) para una minería subterránea más segura y energéticamente eficiente. La futura integración de la IA promete una mayor adaptabilidad a entornos subterráneos profundos y complejos.

Palabras clave:
inteligencia artificialsistemas ciberfísicosventilación bajo demanda

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Área de la Ciencia:

  • Ingeniería de Minas
  • Inteligencia Artificial
  • Ciencias Ambientales

Sus antecedentes:

  • La creciente profundidad y complejidad de la minería subterránea de metales aumentan las demandas de energía de ventilación y los riesgos de seguridad.
  • Los sistemas de Ventilación bajo Demanda (VOD) ajustan dinámicamente el flujo de aire utilizando datos en tiempo real para mejorar la eficiencia energética y la seguridad.
  • La extracción de minerales críticos en entornos más profundos y extremos presenta nuevos desafíos para los sistemas VOD existentes.

Objetivo del estudio:

  • Realizar una revisión exhaustiva de la integración de la Inteligencia Artificial (IA) en las tecnologías de Ventilación bajo Demanda (VOD).
  • Identificar los avances en IA para la detección, predicción, control y optimización dentro de los sistemas VOD.
  • Destacar las oportunidades para que la IA mejore la eficiencia energética, la seguridad y el rendimiento en las operaciones mineras en evolución.

Principales métodos:

  • Revisión de la literatura actual sobre aplicaciones de IA en sistemas VOD.
  • Análisis de técnicas de IA para la detección de datos, modelado predictivo y estrategias de control.
  • Examen de marcos de optimización impulsados por IA para el rendimiento del sistema VOD.

Principales resultados:

  • Los modelos híbridos de aprendizaje profundo (CNN-LSTM, Bi-LSTM) se utilizan cada vez más para la predicción en VOD.
  • Se están desarrollando métodos de optimización habilitados por IA para la colocación de sensores y actuadores.
  • La integración actual de IA a menudo se basa en IA estrecha, con capacidades predictivas limitadas a largo plazo y un enfoque en la simulación.

Conclusiones:

  • La IA ofrece un potencial significativo para mejorar los sistemas VOD para la minería subterránea profunda.
  • Las lagunas de investigación incluyen la necesidad de IA generalizada, modelos predictivos a largo plazo y validación en el mundo real.
  • Las direcciones futuras implican la integración de IA generativa y Sistemas Ciberfísicos Humanos (Human-CPS) para VOD robusto.