I. Product Applications

The Guxin AI‑specific ore sorting machine is a core piece of intelligent front‑end equipment for mining operations, designed to remove impurities and enhance ore grade after extraction but before grinding or flotation. It embodies the principle of “rejecting contaminants early and minimizing grinding,” and is compatible with both dry and wet processing conditions. Widely employed for precision sorting in non‑metallic and metallic mines, it replaces manual picking, delivering improved quality, reduced costs, increased efficiency, and energy savings. Key product features include a dual‑layer conveyor‑belt free‑fall feeding system, support for color‑based material sorting, high sorting accuracy, high throughput, low carry‑over of good material, a high yield of qualified product, robust stability, low overall power consumption, and excellent cost‑effectiveness—offering distinct advantages over comparable equipment.

II. Scope of Application

The sorting process covers nearly a hundred types of metallic and non-metallic minerals, including quartzite, silica, barite, orthoclase, dolomite, fluorite, glass, calcite, gypsum, calcium carbonate, fused quartz, marble, limestone, granite, salt deposits, jade, phosphate rock, talc, wollastonite, pebbles, kaolin, tungsten ore, copper oxide ore, gold ore, iron ore, lead–zinc ore, antimony ore, molybdenum ore, manganese ore, and more. Particle size range: dry‑sorting options from 0.1 to 8 cm, with an additional wet/dry dual‑mode option for 0.5–8 cm; larger‑particle models can handle sizes up to 5–20 cm. Powder‑material capacity: 16–150 mesh (for high‑purity quartz sand, slab‑grade sand, polymer materials, and other fine powders). Operational suitability: dry‑sorting (dust‑free) and wet‑sorting (with mud or water); temperature resistance from –25°C to 40°C, ensuring stable performance in high‑altitude and humid environments.

III. Technical Parameters

Note: The above production figures are based on 1–5 cm-sized pebbles, with 5% impurities.

IV. Technical Advantages

AI Multispectral Recognition: Equipped with a 5,400‑pixel high‑speed CCD and multispectral imaging, combined with AI deep‑learning algorithms, it detects micron‑level color differences, textures, and compositional variations, distinguishing fine impurities from associated minerals. Dual‑Layer Conveyor Design: Featuring a dual‑layer free‑fall/track‑type configuration, it enables full‑range particle size blending (0.5–5 cm) without pre‑classification, handling 10–50 tons per hour. Wet/Dry Versatility: The entire unit is waterproof and dustproof; wet processing can handle moist materials directly, eliminating the need for drying. For dry processing, an integrated self‑cleaning system prevents dust buildup. High‑Speed Precision Blowing: Utilizing high‑speed pneumatic valves with a service life of one million cycles and millisecond response times, it delivers precise impact while maintaining a carry‑over ratio of ≤2%, ensuring high recovery rates for valuable materials. Low‑Energy Modular Design: Powered by DSP+FPGA processing, it boasts low power consumption (approximately 5.5 kW per unit), a modular architecture for easy maintenance, and annual energy use that is more than 40% lower than industry averages.

V. Core Advantages

High precision: Sorting accuracy ≥ 99.9%, with single-pass purity reaching up to 99.9%. Wide applicability: Particle size range from 16 mesh to 20 cm, and a single machine can handle nearly a hundred types of ores. High efficiency: Performance is more than 40 times that of manual sorting, reducing labor costs by over 90%. Cost reduction: Early removal of 30%–70% of waste rock significantly lowers energy and reagent consumption in grinding and flotation processes. Excellent stability: Core components are sourced globally; equipped with self‑cleaning features and fault‑diagnosis alerts, ensuring long‑term stable operation even under harsh conditions.

VI. Core System

AI Vision System: High‑definition CCD camera paired with a multispectral light source, capturing data on material color, texture, and shape. Intelligent Algorithm System: AI deep‑learning model that analyzes data in real time, precisely locates contaminants, and supports custom sorting templates. High‑Speed Actuation System: A high‑speed pneumatic valve array that removes impurities within milliseconds, delivering a low carry‑over rate. Intelligent Feeding System: Dual‑layer conveyor belts or chutes ensure uniform material distribution, accommodating mixed materials across all particle sizes. Electrical Control and Monitoring System: PLC with touchscreen interface, offering adjustable parameters, real-time monitoring of operational data, and remote maintenance capabilities. Self‑Cleaning System: Automated high‑pressure air and water cleaning to prevent dust or slurry from interfering with recognition.

VII. Process Plan

Feed: Raw ore is crushed to 0.5–5 cm (or 5–20 cm) and fed directly into the storage bin, eliminating the need for drying or pre‑classification. Feeding: A double‑layer conveyor ensures uniform material distribution; single‑ or double‑layer configurations are available, suitable for both dry and wet materials. Identification: An AI‑powered multispectral system performs high‑speed scanning to detect impurities, waste rock, and low‑grade ore. Separation: High‑speed pneumatic valves precisely remove contaminants such as clay, limestone, and waste rock, while qualified material is routed to the product storage bin. Discharge: The finished product—high‑grade ore—is conveyed to grinding or flotation; waste rock is either disposed of directly or repurposed for comprehensive utilization. Closed loop: Optional secondary sorting further enhances purity; data is synchronized to the cloud for remote monitoring and optimization.

VIII. Reference Effects

Sorting accuracy: ≥99.9%; product purity: 99.9%. Waste‑stone rejection rate: 30%–70%; carry‑over ratio: ≤2%. Processing capacity: pelletizer, 10–50 t/h; powder‑processing unit, 5–30 t/h. Cost savings: each unit saves over RMB 1 million annually in labor, energy, and reagent costs. Efficiency gains: more than 40× higher than manual processing; grinding energy consumption reduced by 30%–50%.

IX. Selected Cases of Color Sorting for Ores

X. On-site visits by selected domestic and international clients