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22.7.1. Applications of AI/ML in Drilling and Excavation

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  1. 1.

    What is predictive maintenance?

    Hint

    Think about predicting when a machine needs repairs.

  2. 2.

    Name one application of subsurface classification.

    Hint

    Consider how it impacts excavation decisions.

  3. 3.

    What is the primary focus of predictive maintenance?

    • Minimizing downtime
    • Increasing operating hours
    • Reducing wear and tear
    Hint

    Think about the main goal of maintenance.

  4. 4.

    True or False: AI models can only be used for predicting equipment failure.

    • True
    • False
    Hint

    Consider the broader applications of AI in geotechnics.

  5. 5.

    Create a hypothetical scenario where predictive maintenance could either save costs or lead to failures in a mining environment. Explain your reasoning.

    Hint

    Think about the direct impact of machinery on production.

  6. 6.

    Analyze how reinforcement learning could be implemented in path optimization and its potential impacts on excavation efficiency in a real-world scenario.

    Hint

    Consider the relationship between data flow and machine adaptation.

Exercises

Total Questions

2

Estimated Time

4 min

Passing Score

70%

Instructions

  • Read each question carefully
  • You can use hints if you need help
  • Complete all questions before submitting

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Quiz

Total Questions

2

Estimated Time

4 min

Passing Score

70%

Instructions

  • Read each question carefully
  • You can use hints if you need help
  • Complete all questions before submitting

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Challenge Problems

Total Questions

2

Estimated Time

4 min

Passing Score

70%

Instructions

  • Read each question carefully
  • You can use hints if you need help
  • Complete all questions before submitting