Case Study: Guizhou Panjiang Clean Coal Co., Ltd. – Shanjiaoshu Mine
Introduction:
Guizhou Panjiang Clean Coal Co., Ltd. has leveraged the capabilities of the Circle Series machines to process small particle materials and recycle piled Rejects effectively. By implementing the “screening + sensor-based dry coal sorting” process, the Shanjiaoshu Mine has achieved comprehensive utilization of Rejects, enhanced economic benefits, and promoted environmental sustainability.
Project Overview:
Location: Shanjiaoshu Mine, Guizhou Panjiang Clean Coal Co., Ltd.
Production Capacity: 2.0 Mt/a
Objective: Comprehensive utilization of Rejects to improve economic benefits and reduce environmental impact.
Solution:
Circle Series Sensor-Based Dry Coal Sorting Machines:
To address the challenge of Reject management, the Shanjiaoshu Mine implemented the advanced Circle Series sensor-based dry coal sorting machines, designed specifically for small particle materials. This solution enhances the economic value of mining operations by efficiently sorting and utilizing Reject materials.
Processing Particle Size: 10-50mm
Machines Used: Two FHG-1500-T Circle Series sensor-based dry coal sorting machines
Single Machine’s Processing Capacity: >100 t/h
Sorting Results:
Coal in Reject: <2%
Reject Discharge Rate: >90%
Benefits and Outcomes:
Economic Benefits: Comprehensive utilization of Reject materials, enhancing economic returns.
Environmental Impact:
- Reduces the storage and landfill of Reject, minimizing environmental pollution.
- Promotes harmonious, stable, high-quality, and sustainable development in mining areas.
Efficient Recycling: The process ensures effective recycling of small particle Rejects, maximizing resource use.
Conclusion:
The implementation of Circle Series sensor-based dry coal sorting machines at Shanjiaoshu Mine has significantly improved the economic and environmental outcomes of Reject management. This innovative approach demonstrates the potential for advanced sorting technology to enhance the sustainability and efficiency of mining operations.