Intelligent ore picking machine

The JPXRT intelligent ore sorting machine utilizes artificial intelligence deep learning, automated control, and mechatronics technologies, combined with high-performance computing and big data technologies. Through various spectral imaging techniques, it analyzes the alteration color, texture, fluorescence characteristics, absorption and reflection of specific spectral energy, penetration and attenuation of specific spectral energy, and spectral transmittance of ores to perform rapid and accurate qualitative and quantitative analysis, and effectively sorts the ores. It is an intelligent, automated, and online ore sorting equipment.


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Intelligent ore picking machine

Product Parameters

 

Product Introduction

 

 

JPXRT intelligent ore sorting machine utilizes artificial intelligence deep learning, automated control, and mechatronics technologies, combined with high-performance computing and big data technologies. Through various spectral imaging, it analyzes the alteration color, texture, fluorescence characteristics, absorption and reflection of specific spectral energy, penetration and attenuation of specific spectral energy, and spectral transmittance of ores for rapid and accurate qualitative and quantitative analysis, and efficient sorting. This intelligent, automated, online ore sorting equipment is deployed after the raw ore is extracted and crushed and screened, before entering the flotation workshop. Parameters can be set according to different raw ore production and sorting needs to quickly complete the raw ore sorting task. It is suitable for new ore dressing plants, technological transformation of old ore dressing plants, mines, tailings dumps, and metallurgical enterprises that use it for sorting metallurgical production waste.

   

Product Highlights

 

Core Technology

Machine Vision Machine vision uses machines to simulate human eyes for measurement and judgment. The most basic feature is to improve the flexibility and automation of production. In some environments unsuitable for manual operation or where manual vision cannot meet the requirements, machine vision can greatly improve production efficiency, quality, and automation.
Big Data Computing Single feature data is difficult to comprehensively and accurately express target characteristics. Multi-directional, multi-angle, and multi-level feature extraction and data fusion are performed on the detection target, summarizing a massive data set. Combined with high-performance computing, the machine comprehensively and accurately describes the inherent characteristics of the detection target.
Deep Learning Deep learning originates from the human brain. By simulating the analysis and learning mechanism of the human brain's neural network, it combines low-level features to form a model structure with more abstract high-level attribute categories or features, allowing the machine to learn, analyze, and interpret target information like the human brain, completing high-difficulty recognition and evaluation tasks.
 

Performance Advantages

◆ Stable, efficient, and reliable (The surrounding radiation dose of JPXRT series equipment is <0.5uSv/hour (National standard: 2.5uSv/hour)).

◆ Intelligent: Fully intelligent control and remote operation of the sorting process, without human intervention.

◆ High precision: Multi-dimensional detection and the integration of advanced technologies such as X-ray for precise identification of ore and waste rock.

◆ High efficiency: Daily ore sorting capacity can reach up to 500t/hour.

◆ Wide particle size: Can process non-ferrous metal ores with particle sizes between 10mm and 150mm.

◆ Maintains high performance under harsh conditions: High mechanical performance and sorting efficiency can be stably maintained regardless of wet, dry, or cold conditions.

Industrial Value

(1) Improve mining efficiency and lower the mining boundary grade;

(2) Reduce mining transportation costs;

(3) Pre-enrichment to improve the grade of the feed;

(4) Reduce the amount of ball milling and flotation ore, lowering subsequent production processing costs;

(5) Reduce tailings discharge and extend the service life of tailings ponds;

(6) Reduce the discharge of three wastes and lower environmental pollution;

(7) Comprehensive utilization of waste rock resources to improve enterprise efficiency;

(8) Reduce investment in new ore dressing plants and improve the processing capacity of ore dressing plants;

(9) Build a green, environmentally friendly, and intelligent mine;

 

Functions and Features

 

Detection Technology: According to the physical properties of the ore, different spectral imaging detection is used for multi-faceted imaging of the ore, with ore surface coverage exceeding 80%. X-ray transmission technology uses material atomic density to achieve high-precision identification and sorting, unaffected by particle size, moisture, and surface contamination. It is widely used in the recovery of metal minerals with smaller particle sizes, poor conductivity, and incomplete single-body dissociation.

Intelligent Analysis: The system analysis center uses machine learning and deep neural network technology, which can not only accurately sort according to production needs but also continuously accumulate and learn online during use. The longer the product is used, the more accurate the identification precision, and the stronger the adaptability of ore detection.

Automatic Cleaning: The system has a built-in ore cleaning device to further clean the ore and improve the accuracy of ore detection.

Automatic Sorting: Ends the history of low efficiency and poor effect of manual ore sorting, realizing automated online operation of ore sorting, greatly improving ore dressing efficiency, output, and effect, and significantly reducing enterprise ore dressing costs.

Full Process Control: During system operation, the feeding speed and sorting parameters can be adjusted online via computer, and the system will automatically record its various operating statuses, achieving full monitoring of the work process.

Simple Operation Simple operation, one-button start/stop.

 

Sorting Principle

 

  Based on dual-energy X-ray透视 and material identification, using machine vision detection technology, neural network algorithms, and artificial intelligence technologies such as big data deep learning training, each piece of ore is accurately analyzed and identified. High-speed air ejection guns are used for precise impact, achieving effective separation and sorting of ore and waste rock. As shown below:

 

 

 

Application Range

 

Suitable for ore dressing plants, mines, tailings dumps, and metallurgical enterprises that use it for sorting metallurgical production waste.

Ore types that can be used with the intelligent ore sorting machine include:

——Non-ferrous metal ores: Antimony, gold, copper, lead, zinc, tungsten, molybdenum, tin, nickel, vanadium, titanium, etc.;

——Black metal ores: Wolframite, iron, manganese, chromium, etc.;

——Precious metals: Gold, silver, etc.;

—— Fluorescent minerals: scheelite, fluorite, calcite, Malaya stone, zircon, spodumene, dolomite, layered calcite, Iceland spar, opal, massive fluorite, diamond, and twenty-three other types;

—— Others: Special energy-type uranium ore, rare earth ore, non-metallic ore, and other rare metals.

 

Category:

智能矿石拣选机

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