Gu Xin Ultra-Large-Particle Ore Intelligent Sorting Machine (Specialized for Large Particles) 
I. Product Positioning: 
The Guxin ultra-large-particle ore intelligent sorting machine is AI-powered equipment specialized for primary sorting at the mine front end, focusing on extra-large raw ore chunks measuring 50–200 mm (5–20 cm). , addressing the pain points of low efficiency, high costs, and inconsistent standards in traditional manual picking, with a focus on Pre-sorting of large waste rock, enrichment of high-grade ore, dual dry/wet operation, and stable performance under extreme operating conditions. , is the intelligent “of the mine “Reduce the load on the front end, increase it on the back end” The core equipment. 
II. Core Application Scenarios: 
1. Primary sorting of raw ore in open-pit and underground mines (core scenario) 
Sorting of large lump ore (5–20 cm) at open-pit sites, wellheads, stockpiles, and before crushing to directly remove waste rock, interbedded rocks, and discolored ore. Reduce crushing, grinding, and flotation loads by more than 30%. 
2. Bulk Purification of Non-Metallic Minerals 
Quartz stone/quartz ore: Large blocks of raw ore are processed to remove yellow skin, black spots, and gangue, thereby increasing the grade of the quartz sand feedstock. 
Calcite/Calcium Carbonate: Bulk material grading and impurity removal for the production of heavy calcium carbonate powder and板材. 
Kaolin/Coal Gangue: Separate large gangue lumps from kaolin to improve kaolin recovery. 
Fluorite, barite, and dolomite: Large ore blocks are separated from waste rock to enhance the grade of the concentrate. 
3. Large-scale enrichment of metallic minerals 
Tungsten/Molybdenum Ore: Large lump ore is screened to remove waste rock, thereby increasing the feed grade for grinding. 
Gold/Silver Mines: Large chunks of waste rock are discharged in advance to reduce gold loss. 
Hematite/magnetite: High-grade lump ore classified by color and texture. 
4. Building Materials and Renewable Resources 
Granite/marble rough blocks: Remove large pieces with mottled colors or significant cracks. 
Pebbles/Landscape Stones: Grading of large-sized materials, impurity removal, and shape selection. 
Solid waste aggregates: Large pieces of construction rubble are sorted to extract usable materials. 
5. Complex and Extreme Operating Conditions 
Arid mining areas: Dry separation of 5–20 cm lump ore—no drying required. 
Rainy southern regions/water-washed ore: wet separation of 5–20 cm particles; muddy, moist feed is sorted directly. 
Wide-temperature operation: stable performance from -25°C to 40°C, suitable for use in Russia and the “Flame Mountain” mining areas of Northwest China. 
III. Types of Ore That Can Be Separated 
Non-metallic minerals: Quartz, calcite, calcium carbonate, kaolin, coal gangue, fluorite, barite, dolomite, granite, marble, pebbles, phosphate rock, gypsum, wollastonite, and others. 
Metallic minerals: Tungsten ore, molybdenum ore, gold ore, silver ore, hematite, magnetite, copper oxide, manganese ore, metallic silicon, and others. 
IV. Particle Size Range for Sorting 
Standard large-particle model: 50 mm–200 mm (5–20 cm), covering extremely large blocks of raw ore. 
Fine-grained adaptation: 
50–100 mm (5–10 cm): Most commonly used, suitable for mainstream large-piece crushed materials. 
100–150 mm (10–15 cm): Medium-sized lump ore. 
150–200 mm (15–20 cm): Extra-large lump raw ore/rough ore. 
Dry-wet compatibility: Suitable for both dry and wet separation; no drying required for wet separation. 
V. Sorting and Identification Dimensions (AI Multidimensional Recognition) 
Color sorting: Micron-level color-difference detection to remove yellow-skinned, black-spotted, and heavily discolored large ore chunks. 
Texture sorting: Identify differences in gangue textures and mineral textures, and separate interbedded rocks from waste rock. 
Shape sorting: Identify cracks, defects, and deformed blocks, and reject nonconforming materials. 
Internal Impurity Identification: Multispectral imaging penetrates the surface layer to identify internal interlayers and foreign rocks. 
Automated grading of mixed ores: Automatic classification and grading of large lump mixtures by ore type and grade. 
VI. Core Competitive Advantages 
1. Exclusive design for extra-large particles 
The only intelligent sorting machine that stably handles oversized ore chunks measuring 5–20 cm, filling the gap in the intelligent processing of large-piece raw ore; its frame, material distribution system, and pneumatic valves have all been reinforced to withstand the impact of heavy, bulky materials.

2. AI-powered multispectral high-definition recognition with accuracy exceeding 99.9% 
5400-pixel high-speed full-color CCD combined with multispectral imaging captures subtle color differences and textures in large mineral samples. 
AI deep learning enables modeling of large, localized ore samples, with increasing accuracy over time; it is unaffected by lighting, dust, or humidity. 
Sorting accuracy ≥ 99.9%, with a miss/incorrect selection rate of <0.1%; carryover rate ≤ 2%, significantly lower than the industry average of 5%. 
3. Dual wet-and-dry operation + adaptation to extreme operating conditions, with strong stability 
One-touch switching between dry and wet modes, enabling direct sorting of moist or water-washed large ore chunks. Eliminate drying costs 。
Enhanced dust- and water-proof design, suitable for environments with high dust levels, heavy mud, and extreme temperatures ranging from -25°C to 40°C. 
Operates continuously for 24 hours with long mean time between failures, making it ideal for high-intensity mining operations. 
4. Large processing capacity + low carryover ratio, high efficiency and low loss 
Hourly capacity: 30–80 tonnes per hour (depending on particle size and ore type), more than 20 times the efficiency of manual sorting. 
Dual-layer conveyor with uniform material distribution and free-fall sorting ensures that large pieces of material do not overlap or get jammed, achieving precise sorting in a single pass. 
Waste rock carry-out is ≤2%, resulting in minimal loss of valuable ore and a 5–10 percentage point increase in recovery rate. 
5. Replacing manual labor while reducing costs and increasing efficiency—remarkable value 
One piece of equipment can replace 30–50 manual bulk-picking workers, addressing challenges such as difficulty in recruitment, high labor costs (resulting in annual savings in the millions), and inconsistent sorting standards. 
Modular design for easy disassembly, assembly, and maintenance; universal spare parts. O&M costs reduced by more than 50% 。
Low overall machine power (≤7.5 kW), comprehensive power consumption More than 30% lower than comparable devices 。
VII. Tangible Value Delivered to Customers 
1. Reduce the burden on the front end, increase efficiency on the back end 
By pre-removing more than 30% of waste rock, wear on crushing, grinding, and flotation equipment is reduced, as are electricity costs, resulting in a total beneficiation cost reduction of over 20%. 
2. Enhancing Concentrate Grade and Selling Price 
Large chunks of waste rock and off-color ore are removed in advance, resulting in a 5–15 percentage-point increase in concentrate grade and a product premium of over 30%. 
3. Enhancing Mineral Recovery Rates 
Reduce the loss of large, high-grade ore blocks, increase metal recovery rates by 5–10 percentage points, and conserve resources to prevent waste. 
4. Intelligent automation replaces manual labor, simplifying management. 
Fully automated operation reduces reliance on manual labor and lowers management costs; standardized sorting ensures consistent product quality. 
5. Rapid commissioning and small footprint 
Simple installation and commissioning, with production commencing within 7 days; occupies only about 10 square meters, making it ideal for compact mine sites. 
VIII. Core Technical Parameters (Main Model: KS-D200) 
External dimensions (length × width × height): 4200 × 2200 × 2500 mm 
Equipment weight: 3,200 kg 
Screening particle size: 50–200 mm (5–20 cm) 
Processing capacity: 30–80 tonnes per hour (depending on particle size and ore type) 
Sorting accuracy: ≥99% 
Outflow ratio: ≤5% 
Power: 9.5 kW 
Operating voltage: 380V/50Hz 
Applicable operating conditions: dry separation/wet separation, -25°C to 40°C 
Core specifications: 5,400-pixel full-color CCD, multispectral imaging, AI deep-learning algorithms, reinforced dual-layer tracks, and self-priming high-speed air valves.