Case Study: Xinyan Coal Mine Underground AI Dry Sorting System Solution

Introduction:

Xinyan Coal Mine, located in the southwest of Zhongyang County, Shanxi Province, has a designed production capacity of 2.40 Mt/a. The mine faces challenges due to thin coal seams, resulting in roof cutting and bottom breaking during mining, leading to high reject content. The current system causes increased pressure on the main transportation capacity and burdens the coal preparation plant. Xinyan Coal Mine implemented an advanced AI-driven dry sorting system to address these issues.

Project Overview:

– Location: Xinyan Coal Mine, Zhongyang County, Shanxi Province

– Production Capacity: 2.40 Mt/a

– Challenges: High reject content, increased transportation burden, and inefficient coal preparation

Solution:

Four-in-One Approach:

Xinyan Coal Mine adopted a comprehensive “mining, selection, transportation, and filling” approach, incorporating a sensor-based dry coal sorting system to pre-discharge Reject underground. This strategy includes:

  • Reject Pre-Discharge: The new system pre-sorts Reject from raw coal before it reaches the surface, reducing the volume of waste transported.
  • Reject Backfilling: Rejected Reject fills mine voids, reducing surface disposal and environmental impact.

Efficiency Improvements:

  – Reduces pressure on main transportation capacity.

  – Minimizes rejection entering the coal preparation plant, enhancing washing capacity and lowering costs.

  – Decreases secondary coal slurry generation, simplifying water treatment.

  – Reduces Reject piles and environmental pollution, promoting sustainable mining.

Equipment and Performance:

– Processing Particle Size: Pre-reject Reject from +50-300mm raw coal

– Machine Used: 1 FHG-1800-X Golden Coal Series dry coal sorting machine

– Single Machine’s Processing Capacity: >180 t/h

– Sorting Result:

  • Coal in Reject: <1%
  • Reject Discharge Rate: >95%

Benefits and Outcomes:

– Enhanced Production Efficiency: Significant reduction in transportation and processing of waste.

– Cost Savings: Lower washing costs due to reduced Reject entering the preparation plant.

– Environmental Impact:

  • Reduced Reject pile-up, lowering environmental pollution.
  • Promotes green mining and sustainable development.

Conclusion:

Implementing the AI-driven dry sorting system at Xinyan Coal Mine has revolutionized their mining operations, enhancing efficiency, reducing environmental impact, and promoting sustainable practices. This innovative solution showcases the potential of advanced technology in transforming coal mining processes.

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